US3713313A - Computer controlled rolling mill - Google Patents

Computer controlled rolling mill Download PDF

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US3713313A
US3713313A US00200400A US3713313DA US3713313A US 3713313 A US3713313 A US 3713313A US 00200400 A US00200400 A US 00200400A US 3713313D A US3713313D A US 3713313DA US 3713313 A US3713313 A US 3713313A
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metal
force
thickness
rolling
ratio
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L Spradlin
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General Electric Co
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General Electric Co
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
    • B21B37/16—Control of thickness, width, diameter or other transverse dimensions

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  • the force (or power) model in the computer is stored as dual curves, ie, (a) shaping curves wherein the ratio of the force required for actual rolling conditions relative to the force required for a chosen draft is plotted against elongation, and (b) magnitude curves wherein the force required for the chosen draft is plotted against inverse output thickness from the mill with each point of the magnitude curves having an associated stored temperature value.
  • the arithmetic produce of the force ratio required for a desired elongation and the force magnitude for a desired output thickness (when corrected for width hardness and temperature of the metal being rolled) provides the force required for the stand. Because the force ratio is normalized with respect to a chosen percentage draft. accurate adaptive updating of the process representation can be achieved conveniently by altering only the magnitude curves.
  • INITIALIZE MODEL QUANTITY lNDEX FOR FORCE (0R POWER) CALCULATE INVERSE ER TH ⁇ CKNESS HOUT CHOOSE THE TWO STORED POINTS OF THE msmwue cHoosE POINTS w AND Y CURVE IN THE VICINTY w OF THE INVERSE rmcx- HERE W NEss ER CALCUlATE renpsmwne TCrl ⁇ +&- cr1 T -T coeFFlcuim' mumPuERs w WC w ER) FOR STORED POlNTS TCMY KCMY Y ea) DENORMALIZE Pom-rs FOR w TCM F TEMPERATURE EFFECT Y TcM F'y II II CALCULATE.
  • HOLUT FRAT on PRAT
  • CHECK VALIDITY OBTAIN FORCE(OR POWER) DATA TO BE USED IN CALCULATIONS
  • PAIENIEIIJMD ma SHEEI 9 [If 9 THIS PASS BETWE V CALCULATE MEASURED MODEL FORCE (OR POWER CORRECTED FOR BIAS OFFSET) FOR PASS NORT'IALIZED FOR WIDTH.
  • COMPUTER CONTROLLED ROLLING MILL This invention relates to a method and apparatus for rolling metal and, in particular, to a computer controlled rolling mill wherein the on-line mathematical models for force and/or power prediction are stored within the computer as both shaping data and magnitude data representations with the force and/or power required for the mill being calculated as an arithmetic product of data derived from the stored representations.
  • This particular form for the on-line process representation permits accurate prediction of rolling parameters for a wide range of conditions, while still permitting convenient updating of the process model by adaptive feedback.
  • the force (or power) models as dual curves, i.e., (a) a shaping curve depicting the ratio between actual force and force for a chosen percentage draft against a function of the deformation of the rolled metal, e.g., elongation or per unit draft, and (b) a magnitude curve wherein the force for the chosen percentage draft is plotted as a function of the thickness of the rolled metal, e.g., inverse output thickness.
  • the force for rolling then is determined by accessing each of the curves to determine, for example, (a) the force ratio value associated with the amount of deformation to be achieved and (b) the force magnitude value associated with the thickness of the rolled metal, and these values are multiplied to provide the force required for the mill during rolling.
  • the ratio curves are plotted against elongation or per unit draft while the magnitude curves define force (or power) against workpiece thickness or inverse output thickness.
  • the force (or power) thus determined from the dual curves is adjusted for such factors as workpiece width and hardness (and mill speed) prior to utilization in the mill.
  • FIG. 1 is an isometric view of a computer controlled roughing mill in accordance with this invention
  • FIG. 2 is a pictorial illustration showing curves stored within the computer model and the source of their origin
  • FIG. 3 is a flow chart illustrating a method of determining force or power in accordance with this invention
  • FIG. 4 is a How chart illustrating the force and power magnitude curve subroutines of FIG. 3,
  • FIG. 5 is an enlarged view showing a portion of the curve depicted in FIG. 2c
  • FIG. 6 is a flow chart showing the force and power shaping curve subroutines of FIG. 3,
  • FIG. 7 is an enlarged view showing a portion of the curves depicted in FIG. 2b.
  • FIG. 8 is a flow chart illustrating a method of determining input thickness utilizing the curves of FIG. 2,
  • FIG. 9 is an enlarged view showing a portion of the curves depicted in FIG. 2b.
  • FIG. 10 is a flow chart depicting a technique for adaptively updating the magnitude curve of FIG. 2c.
  • FIG. II are curves illustrating the method of adaptively updating the curve of FIG. 20.
  • a roughing mill 10 in accordance with this invention is illustrated in FIG. 1 and generally includes a plurality of tandem rolling stands RSI-RS3 for incrementally reducing the thickness of bars 81-83 as the bars pass sequentially from upstream stand RS1 to downstream stand RS3.
  • tandem rolling stands RSI-RS3 normally is characterized by more than three rolling stands and rolling stands RSI, R82 and RS3 therefore should be considered to represent the first stand, an intermediate stand and the last stand of such roughing mills, e.g., the first, fourth and seventh stands, respectively, of a seven-stand roughing mill.
  • each rolling stand is provided with a pair of confronting work rolls R1 and R1 with the work rolls at each stand typically being driven by synchronous motors DMI-DM3, respectively, to rotate the rolls at a predetermined speed.
  • a load cell LCl-LC3 underlies the work rolls at each stand to measure the force at the stands although the load cells also could be situated at any other suitable position for measuring rolling force, e.g., overlying the work rolls.
  • the amount of reduction of the metal being rolled is determined by the separation between the work rolls which separation is established by screwdowns SDI-SDI! driven by screwdown position drives SDPDl-SDPD3, respectively.
  • a screwdown position indicator ESPll-ESP13 also is provided at each stand to measure the position of the screwdowns at their respective stands.
  • Each stand also has a pair of vertically disposed rollers VRl-VR3 driven by motors VDM1-VDM3 to reduce the width of each bar, as desired.
  • An edger adjust mechanism EAM1EAM3 driven by edger screw position drives ESPDl-ESPD3 serves to establish the reduction of bar width while edger screw position indicators VSDPll-VSDP13 provide output signals indicative of the position of the width controlling screws at each stand.
  • the output signals from all the screw position indicators and all the load cells along the mill are fed as inputs to computer C20 and the computer generates control signals for the screwdown position drives to establish the draft taken by each set of confronting rolls (as will be more fully explained hereinafter).
  • Drive motors DM 1-DM3 generally are fixed speed synchronous motors with the span between rolling stands being slightly in excess of the length of each bar between the rolling stands.
  • the current and voltage applied to each of the drive motors are sensed by current sensors Al-A3 and voltage sensors Vl-V3, respectively, and fed to computer C20 to indicate the power supplied from computer C20 to the drive motors at each stand.
  • a power sensor utilizing these inputs can supply a signal to the computer proportional to the measured motor power.
  • adjustable speed motors could be employed in conjunction with the constant speed drive motors DM l-DM3 to reduce the total span required for the roughing mill.
  • Adjustment of the mass flow between stands driven by the constant speed and adjustable speed motors then would be accomplished under the control of computer C20 in conventional fashion using techniques such as are taught in US. Pat. No. 3,170,344, issued to R.E. Marrs and assigned to the assignee of the present invention.
  • the voltage and current inputs to drive motors VDMl-VDM3 can be monitored and fed to computer C20 by suitable measuring equipment (not shown).
  • Computer C20 is a conventional process control digital computer and typically may have one or two central processor units with a core memory of about 400,000 bits and a working drum memory for an additional l to 3 million bits of information.
  • the computer normally includes a card reader 22 to input information relative to the order being processed, e.g., metallurgical composition of the bars, desired output gage, etc., while process information supplied to, or calculated by, the computer may be visually recorded by a typewriter or a line printer 24.
  • Computers having these characteristics are commercially available and can be obtained from the General Electric Company under the Trademark GEPAC 4010 and GEPAC 4020.
  • Process control information fed to the computer typically would include the temperature of the steel being rolled (as measured by pyrometer P disposed at a suitable location along the length of the rolling mill).
  • a measured indication of the incoming thickness of each bar also desirably is fed to computer C20. This may be done by any suitable device for such purpose, e.g., a vertically scanning light source L having an elongated light detector D for observing interruption of the light beam by the bars.
  • the incoming thickness of a bar at a given stand (other than for the first reduction) generally can be estimated by the computer to a high degree of accuracy from the observed gagemeter thickness of the bar at a previous stand.
  • a drafting schedule may be chosen wherein the final stands, e.g., RS3, effect maximum draft in the bars, with the upstream stands, e.g., RSI, producing little or no draft in the bars in order to conserve the heat content of the bars.
  • the downstream stand draft generally is determined in conventional fashion by the more stringent of such constraining limits as the maximum draft desired for the stand, the force limit imposed by the mechanical characteristics of the stand, the power limit of the drive motor and the permissible bite angle at the stand.
  • Maximum draft then is taken at the final stand, e.g., RS3, and similarly for each of the successive upstream stands, to determine the maximum permissible reduction by the roughing mill.
  • the upstream stands e.g., RS1
  • the upstream stands are assigned a lesser draft by the computer drafting schedule calculation while the reductions for the downstream stands, e.g., RS3, are maintained at their previously calculated maximum permissible values.
  • the desired screwdown positions (as determined in conventional fashion from the desired output thickness from the stand and the known spring of the stand for the force required to produce the desired draft) then are established by the computer.
  • the draft taken at a roughing stand, particularly the upstream stands may vary considerably as a function of slab dimensions and defined limits.
  • metal rolling method of this invention can be utilized with any conventional rolling schedule draft distribution calculation strategy which utilizes a mathematically or empirically determined relationship of force per unit workpiece width or power per unit workpiece width as a function of workpiece deformation, e.g., elongation or per unit draft.
  • the mathematical model for rolling force is stored within the calculated model of computer C20 as (a) shaping curves, e.g., the ratio of force for actual rolling conditions to force for a chosen draft as plotted against elongation (illustrated in FIG. 2b for a chosen 30 percent draft) and (b) magnitude curves, wherein force for the chosen draft is plotted against the reciprocal of output thickness (as shown in FIG. 2c).
  • shaping curves are normalized, i.e., intersect, at the chosen percentage of draft, and are considered to represent the non-linear characteristics of rolling force as a function of the amount of reduction taken.
  • the shaping curves of FIG. 2b therefore can be considered to be stable during rolling with only the magnitude curves of FIG. 2c possibly requiring adjustment in order to provide a means of adaptive feedback for the process representation.
  • the shaping and magnitude curves of FIGS. 2b and 2c may be derived from the overall process relationship shown in FIG. 24, wherein the indicated point for normalization corresponds to a 30 percent draft condition.
  • the elongation corresponding to the chosen per unit draft is calculated from the known relationships:
  • the shaping curves have a unitary ratio of actual force per unit width to force per unit width for the 30 percent draft condition, thereby providing the focal point F for the curves of FIG. 2b.
  • the overall process relationship force curves of FIG. 20 then are entered at a value of 1.43 for elongation to determine the corresponding values on magnitude curve 2c for the diverse output thicknesses.
  • the product of curves 2b and 2c provides the actual force value determined from FIG. 2a.
  • a force of 24 tons/inch is indicated by curve 32 as being required to reduce a bar (at the temperature of the curve) to an output thickness of 2 inches.
  • This 2 inch output thickness corresponds to an inverse output thickness of 0.5 inches, i.e., l/(2.0 inches), and forms a point W for magnitude curve 34.
  • points X, Y and Z on magnitude curve 34 are determined by observing on curves 32A, 32B and 32C, respectively, the forces (20 tons, 28 tons and 32 tons) required to effect a 1.43 elongation in bars having output gages of l, 4 and 8 inches, respectively.
  • Each point on curve 32 then is divided by the force, i.e., 24 tons, at the chosen per unit elongation to obtain curve 30 of FIG. 2b.
  • the force at each point on curve 32A is divided by 20 tons (i.e., the force required for a 1.43 elongation) to obtain curve 30A of FIG. 2b
  • curves 30B and 30C are obtained by dividing curves 32B and 32C by 28 and 32 tons, respectively, i.e., the force per unit width for the curves at the chosen elongation.
  • each of shaping curves 30-30C are brought to a force ratio of 1.0 at the chosen per unit draft in determining the configuration of the shaping curves, all the shaping curves necessarily intersect at the elongation corresponding to the chosen per unit draft.
  • Each of shaping curves 30, 30A, 30B and 30C then are stored within computer C20 by coordinates representing points along each curve.
  • magnitude curve 34 is stored by the force magnitude, inverse thickness, and temperature corresponding to points W, X, Y and Z. It will be appreciated that in actual practice, each shaping and magnitude curve would typically be defined by approximately six to points.
  • the shaping and magnitude curves of FIGS. 2b and 2c are accessed to determine force ratio and force values for a desired elongation and inverse output thickness, respectively, whereafter the force ratio and force values are multiplied to produce predicted rolling force as illustrated in the flow chart of FIG. 3.
  • the magnitude curve of FIG. 2c is entered utilizing magnitude curve subroutine 40 to obtain normalized force, i.e., the force required to produce a 30 percent draft for the desired output thickness at the known temperature
  • the shaping curves of FIG. 2b are entered utilizing shaping curve subroutine 42 to obtain the force ratio, i.e., the ratio of actual force to force for the chosen draft, required to produce the desired elongation.
  • the normalized force and force ratio then are multiplied in multiplier circuit 44 to obtain a calculated force for a given elongation and this calculated force is adjusted by empirically determined multiplication factors proportional to the known width and resistance to deformation of the bar to provide the predicted mill rolling force.
  • a magnitude curve subroutine suitable for determining the value of normalized force is illustrated in the flow chart of FIG. 4.
  • the input data required for the subroutine is the desired output thickness HOUT and the incoming temperature TEMPR of the bar (as esti mated by the computer utilizing either the known temperature of previously rolled bars, as measured by pyrometer P, or the temperature customarily produced in the bars during the most recent previous heats in the furnace (not shown) from which the bars enter the roughing mill). Because this subroutine can be employed both to determine either normalized force or normalized power dependent upon the operative mode of the subroutine, a mode indication normally is also supplied as part of the subroutine input data.
  • the computer checks the validity of the input information by observing that the desired output thickness is within the limits of the rolling mill, e.g., is between 0.5 and 15 inches, and that the temperature of the incoming bars is within a range suitable for rolling, e.g., between 1,500 F and 2,400 F.
  • the model index is initialized for force and the force coefficients of curve 34 are utilized by the subroutine.
  • the computer calculates the inverse thickness ER of the bar by taking the reciprocal of the known desired output thickness Hout whereafter the computer chooses the two stored points of magnitude curve 34 straddling (or otherwise nearest) the inverse thickness ER in question, e.g., 0.5 inch corresponding to point W and 0.25 inch" corresponding to point Y (see enlarged FIG. 5).
  • the temperature coefficient multiplier TCM for point W then is calculated in accordance with the formula:
  • K CM is a temperature coefficient factor representing the partial derivative of per unit rollin g force with respect to temperature of the bar
  • T is the temperature value associated with point W.
  • the force at point W then is denormalized for temperature effect to obtain point W in accordance with the fonnula:
  • W is the model quantity corrected for temperature
  • TCM is the temperature coefficient multiplier
  • F is the force at point W before interpolation.
  • the inverse thickness fraction [CF to be used in interpolation is determined in accordance with the formula:
  • IGF ER ER /ER ERy wherein ER is the inverse output thickness in point
  • ER is the smaller of the two stored inverse output thickness points straddling the inverse output thickness in point, i.e., 0.25 in FIG. 5, and
  • ER is the larger of the two stored inverse output thickness points straddling the inverse output thickness in point, i.e., 0.5 in FIG. 5.
  • the force (or power, dependent on mode) FNORM denormalized for the temperature and inverse output thickness in question then is determined by interpolation in accordance with the formula:
  • FNORM is the interpolated denormalized force for an inverse output thickness ER
  • IGF is the inverse thickness fraction
  • Fy' is the force for point 1''.
  • This normalized force then is checked against force limits before being employed to calculate the actual rolling force in accordance with FIG. 3.
  • the operation of the subroutine of FIG. 4 can be understood from the following specific calculations of normalized force required to produce an output thickness of 3 inches in a bar having a temperature of 2,000 F.
  • the computer initially checks the desired output thickness and temperature against known limits whereupon the inverse output thickness is calculated to be 0.333 inches", i.e., the reciprocal of the desired output thickness.
  • the computer locates this inverse thickness as being between stored points W and Y having inverse output thickness of 0.5 inch" and 0.25 inch", respectively.
  • the temperature coefficient multiplier for point W next is calculated by taking the difference in temperatures between the stored point and the temperature of the bar, e.g., 2,l F 2,000 F, and multiplying the answer by a temperature coefficient factor (KCM) of, for example, l0" p.u./F, i.e., the empirically determined partial derivative of per unit rolling force with respect to temperature of the bar, to arrive at the per unit force correction, e.g., 0.1, required because of the temperature difference between the temperature corresponding to stored point W and the temperature of the bar.
  • KCM temperature coefficient factor
  • the force correction is added to 1.0 to obtain the temperature coefficient multiplier, i.e., 1.1., and the force at point W, e.g., 24 tons/inch, is multiplied by the temperature coefficient multiplier to obtain point W, i.e., 26.4 tons/inch.
  • point Y would be corrected for temperature differences between stored point Y and the bar tem perature to obtain point Y.
  • An interpolation fraction equal to D,/D, i.e., the quotient of (ER 0.25) and (0.5 0.25 illustrated in FIG. 5 is calculated and the value of temperature normalized force FNORM for the desired elongation is determined from curve Y W
  • the input information to the computer for the subroutine generally would include the entry thickness, Hin, and the desired exit thickness, Hout, of the bar as well as the desired mode of operation, i.e., a force mode, for the subroutine.
  • the routine has checked the validity of the input information to determine that the exit thickness is within a prescribed tolerance, e.g., between 0.5" and 15.0", two curves of FIG. 2b to be employed in determining the force ratio are chosen by identification of those curves bracketing (or otherwise nearest) the desired exit thickness.
  • curves 30 and 30A would be employed for the subroutine while an exit thickness of 2.5 inches would require the utilization of curves 30A and 308 in the subroutine.
  • the entry thickness then is compared to the exit thickness by the computer to check the validity of the information, i.e., that the entry thickness is greater than the exit thickness, and the elongation ELG is calculated as the quotient of the entry thickness and the exit thickness.
  • the calculated elongation then is located on the stored ratio curves, i.e., as being a value between stored elongation points ELG] and ELG2 along the curves, and the coordinates of the four stored points A, B, C and D (illustrated in FIG. 7) bracketing the ratio value are obtained.
  • ELG is the elongation at the stored data point,i.e., point A, having an elongation immediately below the desired elongation
  • ELG is the elongation at the stored data point, i.e., point 8, having an elongation immediately above the desired elongation.
  • FRATD is the force ratio at point D on curve 308.
  • FRAT is the force ratio for the desired output thickness
  • FRATl is the force ratio at point X on curve 30A
  • HOUT(30A) is the output thickness corresponding to curve 30A
  • HOUT(30B) is the output thickness of curve 308,
  • FRAT2 is the force ratio at point Y on curve 308.
  • the force desired for rolling is predicted by multiplying these two quantities to obtain the force product as shown in FIG. 3.
  • the force product normally is adjusted by multiplication factors corresponding to the resistance to deformation of the metal being rolled (dependent on the metallurgy of the rolled bars) and the width of the bars (as determined by the setting of vertical rollers VRl-VRS).
  • Information concerning the metallurgy and desired width are provided for the computer C by the operator at the initiation of rolling and the computer chooses theoretically or empirically determined multiplication factors to be used in the force calculations from stored information associated with these inputs.
  • the rolling power for each stand can be calculated utilizing the routines illustrated in FIGS. 3, 4 and 6.
  • the required power routines are shown in brackets when differing from the heretofore explained force routines.
  • the subroutine of FIG. 4 would be placed in a power mode by the calling sequence and the stored power curve coefficients (instead of the force curve coefficients) would be utilized by the subroutine.
  • the subroutine otherwise functions identically to the previously described operation of the subroutine in the force mode.
  • the output from the subroutine is normalized power which is checked against power limits before using the normalized power for subsequent calculations.
  • the ratio curve subroutine of FIG. 6 is employed to determine power ratio by indexing data corresponding to the power ratio curves (instead of the force ratio curves), as a function of the mode indicator.
  • the subroutine then functions identically to the previously described operation of the subroutine in the force mode with the ratio provided by the subroutine being a power ratio rather than a force ratio.
  • the curves of FIG. 2b are employed to determine force (or rolling power) ratio from known entry and exit thicknesses for the bars
  • the curves of FIG. 2b also can be accessed in opposite fashion to determine the required entry thickness of the bars knowing the specified exit thickness HOUT and the specified rolling force (or power) ratio by utilization of the routine shown in FIG. 8.
  • the specified exit thickness provided for the subroutine is checked for validity and the force ratio curves of FIG. 2b having exit thicknesses immediately above and below (or otherwise nearest) the specified exit thickness are chosen for the calculations, e.g., curves 30A and 30B of FIG. 9.
  • the stored force ratio data for these curves then is accessed by the computer and a thickness ratio fraction FRACT for use in vertical interpolation is determined in accordance with the formula:
  • HOUT(30A) is the exit thickness of the stored data curve, i.e., curve 30A, immediately below the specified exit thickness
  • HOUT(30B) is the exit thickness of the stored data curve, i.e., curve 308, immediately above the specified exit thickness. Knowing the thickness ratio fraction and the specified force ratio, a search is initiated to determine the coordinates of the four stored force ratio data points A, B, C and D encompassing the specified force ratio FRAT. In searching, the value of the force ratio FRAT initially is compared to L0 to determine the stored data points which need be considered, i.e., data points corresponding to an elongation between 0. and 1.43 or data points corresponding to an elongation above 1.43. The computer then chooses an elongation ELG2 on curve 30A having a corresponding force ratio immediately below the specified force ratio FRAT and the force ratio FRATZ at the chosen elongation ELGZ is calculated using the formula:
  • FRAT2 FRATB' FRACT-(FRATD' FRATB') wherein FRATB' is the force ratio of point B of curve 30A of FIG. 9 corresponding to an elongation ELGZ,
  • FRACT is the thickness ratio fraction
  • FRA'I'D' is the force ratio at point D of curve 308 corresponding to an elongation ELGZ. This calculated force ratio then is compared to the specified force ratio and if the specified ratio is more than the calculated ratio, the force ratio at the immediately lower stored elongation point ELGI is calculated in an identical manner to find FRATI. If the calculated force ratio FRATI is lower than the specified force ratio, FRAT, then points A, B, C and D are selected as the coordinates bracketing FRAT. Should the calculated force ratio at elongation ELGI be larger than FRA T, the computer would successively calculate the force ratio at each succeedingly lower elongation to select the bracketing coordinates for the specified force ratio F RA T. Knowing the bracketing coordinates, the ratio fraction RF RACT used for interpolation is calculated from the formula:
  • RFRACT (FRAT- FRATl/FRATZ FRATI) wherein FRAT is the specified force ratio (for the required elongation),
  • FRAT is the calculated force ratio at point X of curve X'Y'
  • FRAT2 is the calculated force ratio at point Y of curve X'Y'.
  • the required elongation ELG associated with the specified force ratio FRAT then is determined by interpolating between elongation points ELGl and ELGZ and utilizing the formula:
  • ELG' ELG1+ RFRACT (ELGZ-ELGI) wherein 161 is the elongation at point X of curve XY', ELGZ is the elongationat point Y of curve X'Y, and
  • RF RACT is the ratio fraction. Knowing the required elongation and the specified exit thickness, the required thickness MN is calculated as the product of these quantities, i.e.,
  • HOUT is the specified exit thickness of the bar.
  • the subroutine of FIG. 8 also can be employed (in the manner described with reference to the force ratio curves) to determine entry thickness of the bars.
  • the output thickness and power ratio would be provided for the subroutine and the data utilized during calculations would be power ratio curve data rather than force ratio curve data stored within the computer memory.
  • FMMRKI is the measured model force (magnitude) value for the measured rolling conditions during pass (I), but corresponding to actual model temperature
  • FMRKI is the measured force for pass (I)
  • DEN is a calculated normalizing factor, the product of strip width and the hardness multiplier for the type of product rolled,
  • FMRATH is the measured force ratio determined from the elongation associated with the measured input and output thicknesses for pass (I), and
  • CFTRIU is a force temperature coefficient multiplier corresponding to the difference between the actual model temperature and the estimated temperature for pass (l).
  • the measured model inverse thickness EM MR1 (a supplied value) is calculated from the formula:
  • EMMRI is the measured model inverse thickness for the first active pass downstream of the pass in question. This logic is included in order to provide measured model values for all passes, including possible dummied passes. Measured model values for dummied passes at either end of the mill (if any) are provided by extrapolation.
  • the measured model force calculation then is repeated for all passes.
  • Measured model force values for dummied passes are calculated by interpolation between adjacent values for active passes.
  • the interim force (or power) terms for the new model are calculated (based on temperature of the old model) using the formula:
  • FMODKI FMODKI
  • KFBR FMMRl(l)- FMODKI
  • FMODKI is the force (magnitude) model term for p KFBR is the adaptive feedback gain corresponding to the chosen fraction of the difl'erence between measured force and stored force to be utilized in correcting the stored force representation
  • FMMRHI is the measured model (force) value for pass (I).
  • the inverse thickness for the new model is detennined using the formula:
  • EMODIU EMODIU
  • KFBR EMMRl(l)- EMODl(l)
  • EMODIU is the inverse thickness term for the force model for pass (I)
  • K FBR is the adaptive feedback gain for updating the force term
  • EMMRIU is the measured model inverse thickness for pass (1). After the inverse thickness for each pass is calculated, the temperature value of the old model is temporarily stored and the temperature term for the new model is calculated in accordance with the formula:
  • TMODKI TMODI(I)+KTFBR (TMRI(I)- TMODl(l)) G) [11 KFTR-(TOLDRTMRI(I)) +KFTR-(TMODI (I) TMRI (1)) wherein PMODI(I) is the force (magnitude) model term for P KFTR is the temperature coefficient factor representing the partial derivative of per unit rolling force with respect to temperature of the bar,
  • TOLDR is the model temperature value for this pass prior to updating
  • TMRI(I) is the measured model temperature for pass
  • TMODI(I) is the model temperature value for this pass, after updating.
  • the adaptive force feedback is illustrated graphically in FIG. 11 wherein magnitude curve 34C is stored within the computer by points 50-54 corresponding to the average output thickness from each stand (or pass).
  • the measured model points actually determined from measurements at each stand are identified by reference numerals 60-64 and form curve 68.
  • the computer calculates a weighted average of corresponding points along curves 34C and 68, i.e., point 50 is averaged with point 60, point 51 is averaged with point 61, etc., to obtain average points 70-74, the updated force model (magnitude) curve.
  • This new curve is employed in the model calculations for the force setting for the next bar passing through the mill. Because a great deal of credibility can be given to existing model data points (i.e., points 50-54, already stored within the computer, which are based upon a number of previous passes) as compared with the measured model data points (i.e., points 60-64, measured during a single pass) the average between corresponding points desirably is weighted to shift the measured model data points only a small fraction, e.g., one-fourth, of the span between the stored and measured data points. This weighting is accomplished by the selected value of the feedback gains KFBR and KTFBR.
  • the measured model power for the pass is calculated, based on the measured motor power corrected for power bias offset (to obtain rolling power) and normalized for width, hardness, temperature, elongation/power ration and speed in accordance with the formula:
  • PMMRIU is the measured model power (magnitude) value, corresponding to the measured rolling conditions for pass (I), but corresponding to actual model temperature
  • PMRI( I) is the measured motor powers for pass I
  • PBIASKI is the motor power bias value for stand (I), i.e., the motor power required to overcome windage and friction when there is no steel being rolled,
  • DEN is calculated normalizing factor, the product of strip width and the hardness multiplier for the type of product rolled,
  • VSLRI(I) is the strip speed out of pass (I)
  • PMRATKI is the measured power ratio determined from the elongation associated with the measured input and output thicknesses for pass (I), and
  • CP'I'RIU Ppower temperature multiplier, based on the actual model temperature and the estimated temperature for pass (I). The measured model power calculation then is repeated for all passes and dummied values are supplied before interim power terms for the new model are calculated (based on temperature of the old model) using the formula:
  • PMODI(I) PMODI(I) KFBR PMMRI(I)- PMODI(I)
  • PMODI(I) 1 KPTR- (TOLDR TMRI(I)) 1+ KPTR- (TMODI (I) TMRI (1))
  • This new power term then is employed in the model calculations to predict the rolling power in the mill for the next bar passing therethrough.
  • a method of reducing the thickness of metal by rolling the metal between at least one set of rollers wherein rolling parameters for a rolling pass are determined in association with a digital computer system by access to stored information representing the variation of said rolling parameters as a function of diverse metal characteristics comprising storing the magnitude of a rolling parameter selected from the group consisting of power and force as a function of the thickness of the metal for a chosen per unit draft taken by said rollers, storing the ratio of said selected parameter for an actual reduction to said selected parameter for the chosen per unit draft as a function of the deformation of the rolled metal, determining the value of said parameter at the chosen per unit draft for a desired output thickness and the value of said parameter ratio for a desired deformation and setting said parameter for the succeeding rolling pass at the arithmetic product of said determined values.
  • a method of reducing the thickness of metal according to claim 2 further including modifying the arithmetic product of force at the chosen per unit draft and temperature for a desired inverse output thickness and force ratio for a desired elongation by factors proportional to the width, hardness and estimated temperature of the metal before setting the force for the succeeding rolling pass.
  • a method of reducing the thickness of metal according to claim 4 further including modifying the arithmetic product of said power ratio and said power for a chosen per unit draft and temperature by factors proportional to the width, hardness, estimated temperature and speed of the mill before setting the power for the succeeding rolling pass.
  • a method of reducing the thickness of metal further including measuring the actual parameter at the stand during rolling and adaptively updating only the stored curve defining the magnitude of said parameter for the chosen per unit draft as a function of the output thickness, said adaptive updating of said curve being an amount proportional to the difference between the actually measured parameter and the existing stored functions.
  • a method of reducing the thickness of metal according to claim 7 further including modifying the measured parameter by an amount proportional to the width, hardness and temperature of the metal being rolled, prior to updating of said functions.
  • a method of reducing the thickness of metal according to claim 7 wherein said selected parameter is power and further including measuring the actual power during rolling and adaptively updating only the stored curve defining the magnitude of power for the chosen per unit draft as a function of output thickness, said adaptive updating of said magnitude curve being an amount proportional to the difference between the actually measured parameter and the existing stored functions.
  • a method reducing the thickness of metal according to claim 9 further including modifying the measured power by an amount proportional to the width, hardness and temperature of the metal and speed of the stand prior to updating of said stored functions.
  • a method of rolling metal according to claim 10 further including adjusting the normalized force by an amount dependent upon the width and hardness of the metal being rolled before calculating said force ratio.
  • a method of rolling metal according to claim 13 further including adjusting the normalized power by an amount proportional to the width and resistance to deformation of the metal being rolled and the speed of the stand prior to calculating said power ratio.
  • An automated rolling mill comprising at least one rolling stand having a pair of confronting rollers, means for adjusting the openings between said rollers, and a computer control system having means defining a parameter selected from the group consisting of power and force by a first family of curves defining the ratio of the parameter magnitude for a chosen per unit draft as a function of elongation, said family of ratio curves being characterized by a common intersection at the chosen per unit draft, means defining said parameter for a chosen per unit draft as a function of the output thickness of metal passed through said stand, means for accessing said stored curves to determine both the value of the parameter for the chosen per unit draft required to produce a desired output thickness in metal passed through said rollers and the value of said ratio for a given elongation, means for calculating the arithmetic product for said values as determined from said curves, and means for predicting the selected parameter at said mill at the arithmetic product of said values.
  • An automated rolling mill according to claim 15 wherein said selected parameter is force and further including means for measuring the actual force at said stand during rolling and means for adaptively updating only said means defining force magnitude as a function of the output thickness, said adaptive updating being by an amount proportional to the difference between the representation for actually measured conditions and the existing representation.

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Control Of Metal Rolling (AREA)
  • Control Of Multiple Motors (AREA)
US00200400A 1971-11-19 1971-11-19 Computer controlled rolling mill Expired - Lifetime US3713313A (en)

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GB (1) GB1402129A (enExample)

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3813908A (en) * 1972-12-18 1974-06-04 Gen Electric Method of adaptive thread
US3997768A (en) * 1975-10-29 1976-12-14 Measurex Corporation Method for producing sheet material of a desired weight per unit area
US4099244A (en) * 1977-03-17 1978-07-04 Bethlehem Steel Corporation Recalibration system for electro-optical gage
US4121292A (en) * 1977-03-17 1978-10-17 Bethlehem Steel Corporation Electro-optical gaging system having dual cameras on a scanner
US4121294A (en) * 1977-03-17 1978-10-17 Bethlehem Steel Corporation Electro-optical gaging system
US4121291A (en) * 1977-03-17 1978-10-17 Bethlehem Steel Corporation Linearity correction system for electro-optical gage
US4139890A (en) * 1977-03-17 1979-02-13 Bethlehem Steel Corporation Bar gauge plotting and display system
US4215406A (en) * 1972-08-22 1980-07-29 Westinghouse Electric Corp. Digital computer monitored and/or operated system or process which is structured for operation with an improved automatic programming process and system
US4215407A (en) * 1972-08-22 1980-07-29 Westinghouse Electric Corp. Combined file and directory system for a process control digital computer system
US4216528A (en) * 1972-08-03 1980-08-05 Westinghouse Electric Corp. Digital computer implementation of a logic director or sequencer
US4244025A (en) * 1979-03-20 1981-01-06 Alshuk Thomas J Rolling mill gauge control system
US4389706A (en) * 1972-05-03 1983-06-21 Westinghouse Electric Corp. Digital computer monitored and/or operated system or process which is structured for operation with an improved automatic programming process and system
US6430461B1 (en) * 1996-10-30 2002-08-06 Voest-Alpine Industrieanlagenbau Gmbh Process for monitoring and controlling the quality of rolled products from hot-rolling processes
US20100121471A1 (en) * 2008-03-14 2010-05-13 Tsuyoshi Higo Learing method of rolling load prediction for hot rolling
CN103170509A (zh) * 2013-03-07 2013-06-26 新疆八一钢铁股份有限公司 一种利用记号与厚度提高轧制力设定精度的方法
US20240265302A1 (en) * 2021-07-27 2024-08-08 Primetals Technologies Austria GmbH Method for determining mechanical properties of a rolled material using a hybrid model

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4141071A (en) * 1977-03-17 1979-02-20 Bethlehem Steel Corporation Automatic diametric dimension control for mill for rolling round bars
US4283930A (en) 1977-12-28 1981-08-18 Aichi Steel Works Limited Roller-dies-processing method and apparatus
JPS60255209A (ja) * 1984-05-30 1985-12-16 Mitsubishi Heavy Ind Ltd 圧延機におけるエツジヤ開度制御方法
JPS6134390U (ja) * 1984-07-31 1986-03-03 ダイキン工業株式会社 シエルアンドチユ−ブ型熱交換器
US4745556A (en) * 1986-07-01 1988-05-17 T. Sendzimir, Inc. Rolling mill management system
DE102023105804A1 (de) * 2023-03-09 2024-09-12 Schaeffler Technologies AG & Co. KG Vorrichtung und Verfahren zum Formen einer zum Einzug in einen Stator, Rotor oder in ein Einziehwerkzeug vorgesehenen Wellenwicklungsmatte

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US26996A (en) * 1860-01-31 Washing-machine
US3574280A (en) * 1968-11-12 1971-04-13 Westinghouse Electric Corp Predictive gauge control method and apparatus with adaptive plasticity determination for metal rolling mills
US3592031A (en) * 1968-12-09 1971-07-13 English Electric Co Ltd Automatic control of rolling mills
US3631697A (en) * 1969-08-25 1972-01-04 Westinghouse Electric Corp Rolling mill workpiece delivery thickness control
US3641325A (en) * 1969-02-21 1972-02-08 Nippon Kokan Kk Method of computer control of rolling mills

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US26996A (en) * 1860-01-31 Washing-machine
US3574280A (en) * 1968-11-12 1971-04-13 Westinghouse Electric Corp Predictive gauge control method and apparatus with adaptive plasticity determination for metal rolling mills
US3592031A (en) * 1968-12-09 1971-07-13 English Electric Co Ltd Automatic control of rolling mills
US3641325A (en) * 1969-02-21 1972-02-08 Nippon Kokan Kk Method of computer control of rolling mills
US3631697A (en) * 1969-08-25 1972-01-04 Westinghouse Electric Corp Rolling mill workpiece delivery thickness control

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4389706A (en) * 1972-05-03 1983-06-21 Westinghouse Electric Corp. Digital computer monitored and/or operated system or process which is structured for operation with an improved automatic programming process and system
US4216528A (en) * 1972-08-03 1980-08-05 Westinghouse Electric Corp. Digital computer implementation of a logic director or sequencer
US4215406A (en) * 1972-08-22 1980-07-29 Westinghouse Electric Corp. Digital computer monitored and/or operated system or process which is structured for operation with an improved automatic programming process and system
US4215407A (en) * 1972-08-22 1980-07-29 Westinghouse Electric Corp. Combined file and directory system for a process control digital computer system
US3813908A (en) * 1972-12-18 1974-06-04 Gen Electric Method of adaptive thread
US3997768A (en) * 1975-10-29 1976-12-14 Measurex Corporation Method for producing sheet material of a desired weight per unit area
US4121294A (en) * 1977-03-17 1978-10-17 Bethlehem Steel Corporation Electro-optical gaging system
US4139890A (en) * 1977-03-17 1979-02-13 Bethlehem Steel Corporation Bar gauge plotting and display system
US4121291A (en) * 1977-03-17 1978-10-17 Bethlehem Steel Corporation Linearity correction system for electro-optical gage
US4121292A (en) * 1977-03-17 1978-10-17 Bethlehem Steel Corporation Electro-optical gaging system having dual cameras on a scanner
US4099244A (en) * 1977-03-17 1978-07-04 Bethlehem Steel Corporation Recalibration system for electro-optical gage
US4244025A (en) * 1979-03-20 1981-01-06 Alshuk Thomas J Rolling mill gauge control system
US6430461B1 (en) * 1996-10-30 2002-08-06 Voest-Alpine Industrieanlagenbau Gmbh Process for monitoring and controlling the quality of rolled products from hot-rolling processes
US20100121471A1 (en) * 2008-03-14 2010-05-13 Tsuyoshi Higo Learing method of rolling load prediction for hot rolling
US8185232B2 (en) * 2008-03-14 2012-05-22 Nippon Steel Corporation Learning method of rolling load prediction for hot rolling
CN103170509A (zh) * 2013-03-07 2013-06-26 新疆八一钢铁股份有限公司 一种利用记号与厚度提高轧制力设定精度的方法
US20240265302A1 (en) * 2021-07-27 2024-08-08 Primetals Technologies Austria GmbH Method for determining mechanical properties of a rolled material using a hybrid model
US12093796B2 (en) * 2021-07-27 2024-09-17 Primetals Technologies Austria GmbH Method for determining mechanical properties of a rolled material using a hybrid model

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BR7208157D0 (pt) 1973-08-21
JPS4861889A (enExample) 1973-08-29
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DE2256136A1 (de) 1973-05-24
GB1402129A (en) 1975-08-06

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