CN115301731A - Equidistant rolling method for spiral conical roller of large-size titanium alloy bar - Google Patents

Equidistant rolling method for spiral conical roller of large-size titanium alloy bar Download PDF

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CN115301731A
CN115301731A CN202210967822.1A CN202210967822A CN115301731A CN 115301731 A CN115301731 A CN 115301731A CN 202210967822 A CN202210967822 A CN 202210967822A CN 115301731 A CN115301731 A CN 115301731A
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offset
roller
temperature difference
difference value
curve
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CN115301731B (en
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陈修琳
薛丹斌
陈旭阳
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Solomon Changzhou Alloy New Material Co ltd
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Solomon Changzhou Alloy New Material Co ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B21MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21BROLLING OF METAL
    • B21B1/00Metal-rolling methods or mills for making semi-finished products of solid or profiled cross-section; Sequence of operations in milling trains; Layout of rolling-mill plant, e.g. grouping of stands; Succession of passes or of sectional pass alternations
    • B21B1/16Metal-rolling methods or mills for making semi-finished products of solid or profiled cross-section; Sequence of operations in milling trains; Layout of rolling-mill plant, e.g. grouping of stands; Succession of passes or of sectional pass alternations for rolling wire rods, bars, merchant bars, rounds wire or material of like small cross-section
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B21MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21BROLLING OF METAL
    • B21B37/00Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
    • B21B37/58Roll-force control; Roll-gap control
    • B21B37/66Roll eccentricity compensation systems
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B21MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21BROLLING OF METAL
    • B21B37/00Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
    • B21B37/74Temperature control, e.g. by cooling or heating the rolls or the product
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B21MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21BROLLING OF METAL
    • B21B38/00Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B21MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21BROLLING OF METAL
    • B21B38/00Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
    • B21B38/006Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product for measuring temperature
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P70/00Climate change mitigation technologies in the production process for final industrial or consumer products
    • Y02P70/10Greenhouse gas [GHG] capture, material saving, heat recovery or other energy efficient measures, e.g. motor control, characterised by manufacturing processes, e.g. for rolling metal or metal working

Abstract

The invention discloses a spiral conical roller equidistant rolling method for a large-size titanium alloy bar, which comprises the following steps of: feeding the titanium alloy blank into a deformation zone between an inlet and an outlet of a skew rolling mill, and performing spiral motion in the deformation zone until the deformation is finished; carrying out 2-10 times of spiral rolling on the titanium alloy blank to obtain a large-size titanium alloy bar; a rolling operation monitoring system is arranged on the roller; the acquisition unit is used for acquiring the temperature value and the deviation value of the running roller; the state analysis unit is used for analyzing and comparing the received running coefficients lambda 1 and lambda 2 of the roller with corresponding threshold values, and sending a generated curve to the prediction unit; the adjusting unit is used for acquiring the positive and negative fluctuations and the fluctuation value of the horizontal offset, the vertical offset and the temperature difference value fed back by the predicting unit; the operation monitoring system provided by the invention can ensure that the rolling of the large-size titanium alloy bar in the preparation process is normally operated within the process parameter range, thereby ensuring the preparation quality of the large-size titanium alloy bar.

Description

Equidistant rolling method for spiral conical rollers of large-size titanium alloy bar
Technical Field
The invention relates to the technical field of titanium alloy bars, in particular to a spiral conical roller equidistant rolling method for large-size titanium alloy bars.
Background
Chinese patent CN108580548B discloses a spiral conical roller equidistant rolling method for a large-size 45 steel ultrafine crystal bar, which relates to the technical field of machining, in particular to a spiral conical roller equidistant rolling method for a large-size 45 steel ultrafine crystal bar, and comprises the following steps: s1: selecting a 45 steel blank with the diameter D of 40-150mm and the length of 300-5000 mm; s2: placing the 45 steel blank in a heating furnace and heating to 850-980 ℃; s3: transferring the heated 45 steel blank from the heating furnace to a guide chute of a skew rolling mill; s4: feeding the steel into a guide chute of the skew rolling mill, feeding the 45 steel blank into a deformation area between an inlet and an outlet of the skew rolling mill, and performing spiral motion on the 45 steel blank in the deformation area until the deformation is finished; s5: repeating the steps S2-S4, and carrying out spiral rolling on the 45 steel blank for 2-10 times to obtain a 45 steel integral superfine crystal bar;
in the prior art, the actual state of the roller cannot be completely and correctly judged at present, some data during the operation of the roller cannot be collected easily, the problem of the large-size titanium alloy bar in the actual production process cannot be accurately judged for prediction, the occurrence of faults is avoided, the final quality of the product is influenced, and the production efficiency is also influenced.
Disclosure of Invention
The invention aims to solve the problems of the background technology and provides a method for rolling a large-size titanium alloy bar by using spiral conical rollers at equal intervals.
The purpose of the invention can be realized by the following technical scheme:
a spiral conical roller equidistant rolling method for a large-size titanium alloy bar comprises the following steps:
step 1: placing the titanium alloy blank into a heating furnace for heating;
and 2, step: transferring the heated titanium alloy blank from the heating furnace to a guide chute of a skew rolling mill;
and step 3: feeding the titanium alloy blank into a deformation zone between an inlet and an outlet of a skew rolling mill, and performing spiral motion in the deformation zone until the deformation is finished; repeating the heating to deformation step, and carrying out 2-10 times of spiral rolling on the titanium alloy blank to obtain a large-size titanium alloy bar;
wherein, a rolling operation monitoring system is arranged on the roller; the operation monitoring system comprises an acquisition unit and a state analysis module;
the acquisition unit is used for acquiring temperature values and deviation values of two running rollers;
the state analysis unit is used for analyzing and comparing the received running coefficients lambda 1 and lambda 2 of the roller with corresponding threshold values, and sending a generated horizontal offset A1 curve, a generated vertical offset B1 curve and a generated temperature difference value TC curve to the prediction unit;
the prediction unit is used for carrying out data analysis on the running of the roller and judging the periodicity of the data;
and the adjusting unit is used for acquiring positive and negative fluctuations and fluctuation values of the horizontal offset A1, the vertical offset B1 and the temperature difference value TC fed back by the predicting unit, and correspondingly sending the positive and negative fluctuations and fluctuation values to the horizontal straightener, the vertical straightener and the temperature regulator.
As a further scheme of the invention: the skew rolling mill is a two-roller skew rolling mill, the two rollers are single conical rollers, and spiral grooves are formed in the rollers.
As a further scheme of the invention: the working process of the acquisition unit for acquiring the deviation value comprises the following steps:
step 1: the offset frequency value and the offset displacement value of the collecting roller in the operation process are respectively marked as P and W, wherein the offset frequency value represents the frequency of shaking of the data collecting object in the operation process, and the offset displacement value represents the displacement generated by shaking of the data collecting object in the operation process;
step 2: calculating the running coefficient lambda 1 of the roller by using a formula, wherein the formula is lambda 1= (aP + bW)/(a + b); wherein a and b are both proportionality coefficients, and a > b > 0; the operation coefficient lambda 1 of the roller is a numerical value for detecting the qualified operation probability of the data acquisition object by normalizing the parameters of the data acquisition object; the larger the sway frequency value and the sway displacement value are obtained through a formula, the larger the operation coefficient is.
As a further scheme of the invention: the working process of the acquisition unit for acquiring the temperature value comprises the following steps:
step 1: collecting the self temperature of the roller and the external environment temperature of the roller, and respectively marking the self temperature WJ and the environment temperature WH of the roller;
and 2, step: substituting the self temperature WJ and the ring temperature value WH of the roller into a formula to calculate the running coefficient of the roller
Figure BDA0003795381100000031
Wherein c and d are both proportional coefficients, and c > d > 0; the operation coefficient lambda 2 of the roller is a numerical value for detecting the qualified operation probability of the data acquisition object by carrying out normalization processing on the parameters of the data acquisition object; the larger the difference between the self temperature WJ and the ring temperature value WH of the roller is obtained through a formula, the larger the running coefficient is.
As a further scheme of the invention: the state analysis unit alignment procedure is as follows:
step 1: comparing the running coefficient lambda 1 of the roller and the running coefficient lambda 2 of the roller with corresponding threshold values, wherein the threshold values corresponding to the running coefficient lambda 1 of the roller are Py1 and Py2, and Py1 is more than Py2; the threshold values corresponding to the running coefficient lambda 2 of the roller are Ty1 and Ty2, and Ty1 is larger than Ty2;
step 2: when the lambda 1 is larger than Py1 or lambda 1 is covered with Py2, generating an abnormal offset signal; when λ 2 > Fy1, an ultra-high signal Ty1 is generated, and when λ 2 is less than Ty2, an abnormal temperature signal is generated.
As a further scheme of the invention: when an abnormal offset signal is generated, setting historical detection time, dividing the historical detection time into i sub-time nodes, wherein i is a positive integer, and acquiring a horizontal offset A1 and a vertical offset B1 corresponding to each sub-time node in the historical detection time;
the method comprises the steps of taking a sub-time node as an X axis, taking a horizontal offset A1 as a left Y axis, taking a vertical offset B1 as a right Y axis to construct a coordinate system, marking the corresponding coordinate system as a vibration offset analysis coordinate system, collecting the horizontal offset A1 and the vertical offset B1 corresponding to each sub-time node, entering the vibration offset analysis coordinate system to construct a horizontal offset A1 curve and a vertical offset B1 curve, analyzing the horizontal offset A1 curve and the vertical offset B1 curve, collecting inflection points of the horizontal offset A1 curve and the vertical offset B1 curve, and marking the inflection points as a horizontal offset A1 abnormal sub-time point and a vertical offset B1 abnormal sub-time point respectively.
As a further scheme of the invention: when an abnormal temperature signal is generated, setting historical detection time, dividing the historical detection time into i sub-time nodes, wherein i is a positive integer, and acquiring a temperature difference value between the self temperature WJ and the environment temperature value WH of the roller corresponding to each sub-time node in the historical detection time, wherein the temperature difference value is TC;
and taking the sub-time nodes as an X axis, taking the temperature difference value TC as a Y axis, marking the corresponding coordinate system as a temperature difference analysis coordinate system, collecting the temperature difference value TC corresponding to each sub-time node, inputting the collected temperature difference value TC into a vibration migration analysis coordinate system to construct a temperature difference value as a TC curve, analyzing the temperature difference value TC curve, collecting inflection points of the temperature difference value TC curve, and respectively marking the inflection points as temperature difference value TC abnormal sub-time points and temperature difference value TC abnormal sub-time points.
As a further scheme of the invention: the prediction unit prediction process is as follows:
acquiring a horizontal offset A1 curve, a vertical offset B1 curve and a temperature difference value TC curve, acquiring a horizontal offset A1 period, a vertical offset B1 period and a temperature difference value TC period through sub-time nodes corresponding to the initial and final end points of a corresponding fluctuation curve according to the sub-time nodes corresponding to the initial and final end points of the corresponding fluctuation curve, and judging that the corresponding horizontal offset fluctuation period is normal and the influence of the horizontal offset A1 influence factor does not exist if the horizontal offset A1 period does not have the influence of the offset influence factor; if the offset influence factor does not appear in the period of the vertical offset B1, judging that the fluctuation period of the corresponding vertical offset is normal and the influence of the vertical offset B1 influence factor does not exist; if no offset influence factor appears in the temperature difference value TC period, judging that the corresponding temperature difference value fluctuation period is normal and no influence of the temperature difference value TC influence factor exists;
and when the horizontal offset A1 curve, the vertical offset B1 curve and the temperature difference value TC curve generate fluctuation data, sending the horizontal offset A1 cycle, the vertical offset B1 cycle and the temperature difference value TC cycle to the analysis subunit.
As a further scheme of the invention: the analysis subunit comprises the following specific analysis processes:
acquiring a horizontal offset A1 period, a vertical offset B1 period and a temperature difference value TC period, simultaneously acquiring a real-time horizontal offset, a real-time vertical offset and a temperature difference value, and acquiring a position of the real-time horizontal offset in the horizontal offset A1 period, a position of the real-time vertical offset in the vertical offset B1 period and a position of the real-time temperature difference value in the temperature difference value TC period;
and judging the horizontal offset A1, the vertical offset B1 and the temperature difference value TC according to the corresponding positions, wherein the fluctuation values of the corresponding positions are obtained while positive fluctuation or negative fluctuation is achieved.
The invention has the beneficial effects that:
the invention is provided with a rolling operation monitoring system on a roller, and is used for acquiring temperature values and deviation values of two running rollers through an acquisition unit; generating the running coefficients lambda 1 and lambda 2 of the roller, and a state analysis module for receiving the running coefficients lambda 1 and lambda 2 of the roller; analyzing and comparing the component with a corresponding threshold value, sending a component horizontal offset A1 curve, a component vertical offset B1 curve and a component temperature difference value TC curve to a prediction unit, obtaining positive and negative fluctuations and fluctuation values of the horizontal offset A1, the vertical offset B1 and the component temperature difference value TC fed back by the prediction unit, and correspondingly sending the positive and negative fluctuations and fluctuation values to a horizontal corrector, a vertical corrector and a temperature regulator; the operation monitoring system provided by the invention can ensure that the rolling of the large-size titanium alloy bar is normally operated within the technological parameter range in the preparation process, thereby ensuring the preparation quality of the large-size titanium alloy bar.
Drawings
The invention will be further described with reference to the accompanying drawings.
Fig. 1 is a block diagram of a rolling operation monitoring system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
Referring to fig. 1, the present invention relates to a spiral conical roller isometric rolling method for large-size titanium alloy bars, comprising the following steps:
step 1: selecting a titanium alloy blank with the diameter of 40-150mm and the length of 300-5000 mm;
step 2: placing the titanium alloy blank in a heating furnace and heating to 850-980 ℃;
and step 3: transferring the heated titanium alloy blank from the heating furnace to a guide chute of a skew rolling mill;
and 4, step 4: feeding the titanium alloy blank into a deformation zone between an inlet and an outlet of a skew rolling mill, and performing spiral motion in the deformation zone until the deformation is finished; and repeating the heating to deformation step, and carrying out 2-10 times of spiral rolling on the titanium alloy blank to obtain the large-size titanium alloy bar.
The two rollers are single conical rollers, and spiral grooves are formed in the rollers; a rolling operation monitoring system is arranged on the roller;
the operation monitoring system comprises an acquisition unit and a state analysis module;
the acquisition unit is used for acquiring temperature values and deviation values of two running rollers;
the working process of the acquisition unit for acquiring the deviation value comprises the following steps:
step 1: the offset frequency value and the offset displacement value of the collecting roller in the operation process are respectively marked as P and W, wherein the offset frequency value represents the frequency of shaking of a data collecting object in the operation process, and the offset displacement value represents the displacement generated by shaking of the data collecting object in the operation process;
step 2: calculating the running coefficient lambda 1 of the roller through a formula, wherein the formula is lambda 1= (aP + bW)/(a + b); wherein a and b are both proportional coefficients, and a > b > 0; the operation coefficient lambda 1 of the roller is a numerical value for detecting the qualified operation probability of the data acquisition object by carrying out normalization processing on the parameters of the data acquisition object; the larger the sway frequency value and the sway displacement value are obtained through a formula, the larger the running coefficient is;
meanwhile, the working process of collecting the temperature value by the collecting unit comprises the following steps:
step 1: collecting the self temperature of the roller and the external environment temperature of the roller, and respectively marking the self temperature WJ and the environment temperature WH of the roller;
step 2: substituting the self temperature WJ and the ring temperature value WH of the roller into a formula to calculate the running coefficient of the roller
Figure BDA0003795381100000071
Wherein c and d are both proportional coefficients, and c > d > 0; the operation coefficient lambda 2 of the roller is a numerical value for detecting the qualified operation probability of the data acquisition object by carrying out normalization processing on the parameters of the data acquisition object; the larger the difference between the self temperature WJ and the ring temperature value WH of the roller is obtained through a formula, the larger the running coefficient is;
the state analysis unit is used for analyzing and comparing the received running coefficients lambda 1 and lambda 2 of the mill roll with corresponding threshold values, and the specific process is as follows:
step 1: comparing the running coefficient lambda 1 of the roller and the running coefficient lambda 2 of the roller with corresponding threshold values, wherein the threshold values corresponding to the running coefficient lambda 1 of the roller are Py1 and Py2, and Py1 is more than Py2; the threshold values corresponding to the running coefficient lambda 2 of the roller are Ty1 and Ty2, and Ty1 is larger than Ty2;
step 2: when lambda 1 is larger than Py1, or lambda 1 is less than Py2, generating abnormal offset signals; when lambda 2 is larger than Fy1, generating an ultrahigh signal Ty1, and when lambda 2 is less than Ty2, generating an abnormal temperature signal;
and step 3: when an abnormal offset signal is generated, setting historical detection time, dividing the historical detection time into i sub-time nodes, wherein i is a positive integer, and acquiring a horizontal offset A1 and a vertical offset B1 corresponding to each sub-time node in the historical detection time;
establishing a coordinate system by taking the sub-time node as an X axis, taking the horizontal offset A1 as a left Y axis and taking the vertical offset B1 as a right Y axis, marking the corresponding coordinate system as a vibration offset analysis coordinate system, acquiring the horizontal offset A1 and the vertical offset B1 corresponding to each sub-time node, inputting the acquired signals into the vibration offset analysis coordinate system to establish a horizontal offset A1 curve and a vertical offset B1 curve, analyzing the horizontal offset A1 curve and the vertical offset B1 curve, acquiring inflection points of the horizontal offset A1 curve and the vertical offset B1 curve, and respectively marking the inflection points as a horizontal offset A1 abnormal sub-time point and a vertical offset B1 abnormal sub-time point;
similarly, when an abnormal temperature signal is generated, setting historical detection time, dividing the historical detection time into i sub-time nodes, wherein i is a positive integer, and acquiring a temperature difference value between the self temperature WJ and the environment temperature value WH of the roller corresponding to each sub-time node in the historical detection time, wherein the temperature difference value is TC;
taking the sub-time nodes as an X axis, taking the temperature difference value TC as a Y axis, marking the corresponding coordinate system as a temperature difference analysis coordinate system, collecting the temperature difference value TC corresponding to each sub-time node, inputting the collected temperature difference value TC into a vibration deviation analysis coordinate system to construct a temperature difference value TC curve, analyzing the temperature difference value TC curve, collecting inflection points of the temperature difference value TC curve, and respectively marking the inflection points as a temperature difference value TC abnormal sub-time point and a temperature difference value TC abnormal sub-time point;
sending the generated horizontal offset A1 curve, vertical offset B1 curve and temperature difference value TC curve to a prediction unit; the method is used for carrying out data analysis on the operation of the roller, judging the periodicity of data and providing prediction parameters for the rolling process of the large-size titanium alloy bar, so that the prediction accuracy is improved, and the specific analysis process is as follows:
acquiring a horizontal offset A1 curve, a vertical offset B1 curve and a temperature difference value TC curve, acquiring a horizontal offset A1 period, a vertical offset B1 period and a temperature difference value TC period through sub-time nodes corresponding to the initial and final end points of a corresponding fluctuation curve according to the sub-time nodes corresponding to the initial and final end points of the corresponding fluctuation curve, and judging that the corresponding horizontal offset fluctuation period is normal and the influence of the horizontal offset A1 influence factor does not exist if the horizontal offset A1 period does not have the influence of the offset influence factor; if the offset influence factor does not appear in the period of the vertical offset B1, judging that the fluctuation period of the corresponding vertical offset is normal and the influence of the vertical offset B1 influence factor does not exist; if no offset influence factor appears in the temperature difference value TC period, judging that the corresponding temperature difference value fluctuation period is normal and no influence of the temperature difference value TC influence factor exists;
when fluctuation data appear on the horizontal offset A1 curve, the vertical offset B1 curve and the temperature difference value TC curve, sending a horizontal offset A1 period, a vertical offset B1 period and a temperature difference value TC period to an analysis subunit;
the specific prediction process of the analysis subunit is as follows:
acquiring a horizontal offset A1 period, a vertical offset B1 period and a temperature difference value TC period, simultaneously acquiring a real-time horizontal offset, a real-time vertical offset and a temperature difference value, and acquiring a position where the real-time horizontal offset is in the horizontal offset A1 period, a position where the real-time vertical offset is in the vertical offset B1 period and a position where the real-time temperature difference value is in the temperature difference value TC period;
judging the horizontal offset A1, the vertical offset B1 and the temperature difference TC according to the corresponding positions, wherein the fluctuation values of the corresponding positions are obtained while positive fluctuation or negative fluctuation is achieved;
the adjusting unit is used for acquiring positive and negative fluctuations and fluctuation values of the horizontal offset A1, the vertical offset B1 and the temperature difference value TC fed back by the predicting unit, and correspondingly sending the positive and negative fluctuations and fluctuation values to the horizontal straightener, the vertical straightener and the temperature regulator; and adjusting the offset displacement value of the roller, the self temperature of the roller and the external environment temperature of the roller to enable the roller to be in a normal preset range.
The working principle of the invention is as follows: the invention is provided with a rolling operation monitoring system on a roller, and is used for acquiring temperature values and deviation values of two running rollers through an acquisition unit; generating the operation coefficients lambda 1 and lambda 2 of the roller, and a state analysis module for receiving the operation coefficients lambda 1 and lambda 2 of the roller; analyzing and comparing the component with a corresponding threshold value, sending a component horizontal offset A1 curve, a component vertical offset B1 curve and a component temperature difference value TC curve to a prediction unit, obtaining positive and negative fluctuations and fluctuation values of the horizontal offset A1, the vertical offset B1 and the component temperature difference value TC fed back by the prediction unit, and correspondingly sending the positive and negative fluctuations and fluctuation values to a horizontal corrector, a vertical corrector and a temperature regulator; the operation monitoring system provided by the invention can ensure that the rolling of the large-size titanium alloy bar in the preparation process is normally operated within the process parameter range, thereby ensuring the preparation quality of the large-size titanium alloy bar.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.

Claims (9)

1. A spiral conical roller equidistant rolling method for a large-size titanium alloy bar is characterized by comprising the following steps:
step 1: placing the titanium alloy blank into a heating furnace for heating;
step 2: transferring the heated titanium alloy blank from the heating furnace to a guide chute of a skew rolling mill;
and 3, step 3: feeding the titanium alloy blank into a deformation zone between an inlet and an outlet of a skew rolling mill, and performing spiral motion in the deformation zone until the deformation is finished; repeating the heating to deformation step, and carrying out 2-10 times of spiral rolling on the titanium alloy blank to obtain a large-size titanium alloy bar;
wherein, a rolling operation monitoring system is arranged on the roller; the operation monitoring system comprises an acquisition unit and a state analysis module;
the acquisition unit is used for acquiring temperature values and deviation values of two running rollers;
the state analysis unit is used for analyzing and comparing the received running coefficients lambda 1 and lambda 2 of the roller with corresponding threshold values and sending a generated horizontal offset A1 curve, a generated vertical offset B1 curve and a generated temperature difference value TC curve to the prediction unit;
the prediction unit is used for carrying out data analysis on the running of the roller and judging the periodicity of the data;
and the adjusting unit is used for acquiring positive and negative fluctuations and fluctuation values of the horizontal offset A1, the vertical offset B1 and the temperature difference value TC fed back by the predicting unit, and correspondingly sending the positive and negative fluctuations and fluctuation values to the horizontal straightener, the vertical straightener and the temperature regulator.
2. The method for rolling the large-size titanium alloy bar by the spiral conical rollers at the equal intervals as claimed in claim 1, wherein the skew rolling mill is a two-roller skew rolling mill, both rollers are single conical rollers, and spiral grooves are formed in the rollers.
3. The method for rolling the large-size titanium alloy bar by the spiral conical roller at equal intervals as claimed in claim 1, wherein the working process of acquiring the offset value by the acquisition unit comprises the following steps:
step 1: the offset frequency value and the offset displacement value of the collecting roller in the operation process are respectively marked as P and W, wherein the offset frequency value represents the frequency of shaking of the data collecting object in the operation process, and the offset displacement value represents the displacement generated by shaking of the data collecting object in the operation process;
and 2, step: calculating the running coefficient lambda 1 of the roller through a formula, wherein the formula is lambda 1= (aP + bW)/(a + b); wherein a and b are both proportionality coefficients, and a > b > 0; the operation coefficient lambda 1 of the roller is a numerical value for detecting the qualified operation probability of the data acquisition object by normalizing the parameters of the data acquisition object; the larger the sway frequency value and the sway displacement value are obtained through a formula, the larger the operation coefficient is.
4. The method for rolling the large-size titanium alloy bar by the spiral conical roller at equal intervals as claimed in claim 1, wherein the working process of collecting the temperature value by the collecting unit comprises the following steps:
step 1: collecting the self temperature of the roller and the external environment temperature of the roller, and respectively marking the self temperature WJ and the environment temperature WH of the roller;
step 2: substituting the self temperature WJ and the ring temperature value WH of the roller into a formula to calculate the running coefficient of the roller
Figure FDA0003795381090000021
Wherein c and d are both proportionality coefficients, and c > d > 0; the operation coefficient lambda 2 of the roller is a numerical value for detecting the qualified operation probability of the data acquisition object by normalizing the parameters of the data acquisition object; the larger the difference between the self temperature WJ and the ring temperature value WH of the roller is obtained through a formula, the larger the running coefficient is.
5. The spiral conical roller equidistant rolling method for the large-size titanium alloy bar according to claim 1, wherein the comparison process of the state analysis unit is as follows:
step 1: comparing the running coefficient lambda 1 of the roller and the running coefficient lambda 2 of the roller with corresponding threshold values, wherein the threshold values corresponding to the running coefficient lambda 1 of the roller are Py1 and Py2, and Py1 is more than Py2; the threshold values corresponding to the running coefficient lambda 2 of the roller are Ty1 and Ty2, and Ty1 is larger than Ty2;
step 2: when the lambda 1 is larger than Py1 or lambda 1 is covered with Py2, generating an abnormal offset signal; when λ 2 > Fy1, an ultra-high signal Ty1 is generated, and when λ 2 is less than Ty2, an abnormal temperature signal is generated.
6. The method for rolling the large-size titanium alloy bar by the spiral conical roller at the equal distance according to claim 5, wherein when an abnormal deviation signal is generated, historical detection time is set and is divided into i sub-time nodes, wherein i is a positive integer, and a horizontal deviation A1 and a vertical deviation B1 corresponding to each sub-time node in the historical detection time are acquired;
the method comprises the steps of taking a sub-time node as an X axis, taking a horizontal offset A1 as a left Y axis, taking a vertical offset B1 as a right Y axis to construct a coordinate system, marking the corresponding coordinate system as a vibration offset analysis coordinate system, collecting the horizontal offset A1 and the vertical offset B1 corresponding to each sub-time node, entering the vibration offset analysis coordinate system to construct a horizontal offset A1 curve and a vertical offset B1 curve, analyzing the horizontal offset A1 curve and the vertical offset B1 curve, collecting inflection points of the horizontal offset A1 curve and the vertical offset B1 curve, and marking the inflection points as a horizontal offset A1 abnormal sub-time point and a vertical offset B1 abnormal sub-time point respectively.
7. The method for rolling the large-size titanium alloy bar by the spiral conical roller at the equal distance according to claim 6, wherein when an abnormal temperature signal is generated, historical detection time is set and is divided into i sub-time nodes, wherein i is a positive integer, and a temperature difference value between the self temperature WJ and the environment temperature value WH of the roller corresponding to each sub-time node in the historical detection time is acquired, wherein the temperature difference value is TC;
and taking the sub-time nodes as an X axis, taking the temperature difference value TC as a Y axis, marking the corresponding coordinate system as a temperature difference analysis coordinate system, collecting the temperature difference value TC corresponding to each sub-time node, inputting the collected temperature difference value TC into a vibration migration analysis coordinate system to construct a temperature difference value as a TC curve, analyzing the temperature difference value TC curve, collecting inflection points of the temperature difference value TC curve, and respectively marking the inflection points as temperature difference value TC abnormal sub-time points and temperature difference value TC abnormal sub-time points.
8. The spiral conical roller equidistant rolling method for the large-size titanium alloy bar according to claim 1, characterized in that the prediction unit predicts the process as follows:
acquiring a horizontal offset A1 curve, a vertical offset B1 curve and a temperature difference value TC curve, acquiring a horizontal offset A1 period, a vertical offset B1 period and a temperature difference value TC period through sub-time nodes corresponding to the initial and final end points of a corresponding fluctuation curve according to the sub-time nodes corresponding to the initial and final end points of the corresponding fluctuation curve, and judging that the corresponding horizontal offset fluctuation period is normal and the influence of the horizontal offset A1 influence factor does not exist if the horizontal offset A1 period does not have the influence of the offset influence factor; if the offset influence factor does not appear in the period of the vertical offset B1, judging that the fluctuation period of the corresponding vertical offset is normal and the influence of the vertical offset B1 influence factor does not exist; if no offset influence factor appears in the temperature difference value TC period, judging that the corresponding temperature difference value fluctuation period is normal and no influence of the temperature difference value TC influence factor exists;
and when the horizontal offset A1 curve, the vertical offset B1 curve and the temperature difference value TC curve generate fluctuation data, sending the horizontal offset A1 cycle, the vertical offset B1 cycle and the temperature difference value TC cycle to the analysis subunit.
9. The spiral conical roller equidistant rolling method for the large-size titanium alloy bar according to claim 8, wherein the analysis subunit comprises the following specific analysis processes:
acquiring a horizontal offset A1 period, a vertical offset B1 period and a temperature difference value TC period, simultaneously acquiring a real-time horizontal offset, a real-time vertical offset and a temperature difference value, and acquiring a position of the real-time horizontal offset in the horizontal offset A1 period, a position of the real-time vertical offset in the vertical offset B1 period and a position of the real-time temperature difference value in the temperature difference value TC period;
and judging the horizontal offset A1, the vertical offset B1 and the temperature difference TC according to the corresponding positions, and obtaining the fluctuation values of the corresponding positions at the same time when the fluctuation values are in positive fluctuation or negative fluctuation.
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