CN101644921A - Improved method for designing numerical control bending of plate - Google Patents
Improved method for designing numerical control bending of plate Download PDFInfo
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- CN101644921A CN101644921A CN200910305256A CN200910305256A CN101644921A CN 101644921 A CN101644921 A CN 101644921A CN 200910305256 A CN200910305256 A CN 200910305256A CN 200910305256 A CN200910305256 A CN 200910305256A CN 101644921 A CN101644921 A CN 101644921A
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- 238000005452 bending Methods 0.000 title claims abstract description 43
- 238000000034 method Methods 0.000 title claims abstract description 20
- 239000000463 material Substances 0.000 claims abstract description 37
- 238000012545 processing Methods 0.000 claims abstract description 10
- 239000011159 matrix material Substances 0.000 claims description 15
- 210000002569 neuron Anatomy 0.000 claims description 15
- 230000007935 neutral effect Effects 0.000 claims description 13
- 238000013528 artificial neural network Methods 0.000 claims description 12
- 230000006870 function Effects 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 8
- 238000012549 training Methods 0.000 claims description 8
- 230000008859 change Effects 0.000 claims description 5
- 230000004913 activation Effects 0.000 claims description 3
- 230000003466 anti-cipated effect Effects 0.000 claims description 3
- 238000013459 approach Methods 0.000 claims description 3
- 230000006835 compression Effects 0.000 claims description 3
- 238000007906 compression Methods 0.000 claims description 3
- 210000003127 knee Anatomy 0.000 claims description 3
- 238000013507 mapping Methods 0.000 claims description 3
- 239000007769 metal material Substances 0.000 claims description 3
- 230000000644 propagated effect Effects 0.000 claims description 3
- 238000004904 shortening Methods 0.000 claims description 3
- 241000920340 Pion Species 0.000 abstract 1
- 238000003754 machining Methods 0.000 description 5
- 238000006073 displacement reaction Methods 0.000 description 2
- 238000003462 Bender reaction Methods 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
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Abstract
The invention relates to an improved method for designing the numerical control bending of a plate. Finish size designed by the method is realized by a numerical control machine through processing, the processing accuracy is high, and the processing quality is stable. A bend radius is utilized for obtaining depth and a rear stopping position by eduction; according to a depth formula and a rear stopping position formula, the slide stroke of an upper module and the rear stopping positioning are respectively controlled, thereby accurately controlling a bending angle and a bending position, and respectively controlling the rear stopping position and the upper module stroke of a bending mechanical component in an X direction and a Y direction; in the X direction, a servo motor is used for driving the rear stopping positioning of the bending mechanical component, so that the bending position can be determined; in the Y direction, a servo hydraulic system is used for controlling the slide stroke of the bending mechanical component so that the angle degree can be determined; and the invention is characterized in that the depth formula for calculating depth and the rear stopping position isas follows: H is approximately equal to V/2 t g (A/2)h is equal to H minus (R plus t)/sin (A/2) plus R, and the rear stopping position formula is as follows: W is equal to L1 plus L2/2 is equal to L1plus (R plus xt)A pion/360, wherein L1 and t can be directly measured according to a workpiece, L 1 stands for the length of straight flange, and t stands for material thickness.
Description
(1) technical field
The present invention relates to plate bending technical field, be specially a kind of modified plate bending method for designing.
(2) background technology
Numerically-controlled machine is a kind of automated machine tool that program control system is housed.This control system can logically be handled has control coding or other symbolic instruction regulated procedures, and with its decoding, thereby make lathe action and processing parts.Compare with machine tool, numerically-controlled machine has following characteristics: the machining precision height has stable crudy; Can carry out the interlock of multi-coordinate, energy machining shape complicated parts; When processing parts changed, the general change numerical control program that only needs can be saved and produce setup time; The precision height of lathe itself, rigidity are big, can select favourable machining dosage, throughput rate height (be generally machine tool 3 to 5 times); Machinery Tool Automation degree height can reduce labor intensity.Although the numerical control bending industry has had very big development in recent years, still there are deficiency and defective, position calculation is not enough, and degree of accuracy is not enough.There are some numerical control benders to have the angle programing function at present both at home and abroad, because but in fact error is very big, and some even error can only be carried out roughing to workpiece like this up to the several years.
(3) summary of the invention
At problem, the invention provides a kind of modified plate method for designing numerical control bending, by the processing dimension of this method design, to process by numerical control machine, the machining precision height has stable crudy.
Its technical scheme is such: utilize radius bend to derive depth and put with a back shelves material level, put according to depth formula and a back shelves material level that formula is controlled the patrix ram travel respectively and the back shelves are anticipated the position, thereby accurately control bending angle and bending position, put and the patrix process at the back shelves material level of X, Y direction control bending mechanical part respectively; At directions X, anticipate the position with the backstop of driven by servomotor bending mechanical part, thus decision bending position; In the Y direction, control the stroke of the slide block of bending mechanical part by the servo-hydraulic system, thereby determine the size of angle; It is characterized in that:
Depth and back shelves material level are put calculating
The depth formula is as follows:
H≈V/2tg(A/2)
h＝H-(R+t)/sin(A/2)+R
Sweep after the metal material bending is a circular arc, inboard pressurized in BENDING PROCESS and shortening, outside tension and extending, there is one deck length to remain unchanged in the compression and the two-part intersection that stretches, be called neutral line, the position of neutral line is along with the ratio change of internal diameter R and thickness t and mobile;
Can calculate the arc length of knee neutral line: L2=(R+xt) A ∏/180 according to the plane geometry principle
When blanking, the contact position of patrix and material should be at the mid point of circular arc,
The position formula of back shelves material:
W＝L1+L2/2＝L1+(R+xt)A∏/360
L1, t can directly measure according to workpiece in the formula; L1 is a length of straight flange, and t is a material thickness;
It is further characterized in that: the relation between A/F, material thickness and radius bend R simulates by the BP neural network;
Each neuron between its left and right each layer of BP neural network is realized full the connection, promptly each neuron of left side layer all has with each neuron of right layer and is connected, do not connect and have between each neuron of levels, after a pair of mode of learning offers network, its neuronic activation value will be propagated to output layer through each middle layer from input layer, the network of exporting corresponding to input pattern at each neuron of output layer responds, then, by reduce wishing the principle of output with actual output error, from output layer through the middle layer, get back to input layer at last and successively revise each connection weight; Because the BP neural network has the hidden layer that mediates, can approach with the BP network of single hidden layer for any continuous function in the closed interval, promptly 3 layers of BP network just can be finished the mapping that n arbitrarily ties up the m dimension, thereby this paper adopts 3 layers of BP neural network of single hidden layer to set up forecast model;
Determine the node of hidden layer, establishing the input layer number is k, and then the node number of hidden layer is 2k+1.A/F, material thickness are as input, radius is as output, k=2, then the node number of setting network hidden layer is 5, use from processing bool the sample operation record as training sample, getting 5000 groups of samples trains as MATLAB with simulation software, the training function adopts trainlm (a kind of BP training special purpose function title, can't be translated as Chinese name), four weight matrix that train according to the great amount of samples data: the weight matrix WI2H of input layer, threshold values matrix B IAS1, the weight matrix WH2O of hidden layer, threshold values matrix B IAS2;
After trying to achieve radius R according to the radius curve that simulates, R is brought into a depth formula and the back shelves material formula above derived can calculate depth and back shelves material size.
Adopt above-mentioned method for designing that plate is processed, its machining precision height, stable processing quality.
(4) description of drawings
Fig. 1 is that depth is calculated principle, A-programming angle among the figure, V-counterdie opening angle, the inner arc radius after the R-bending, h-depth;
Fig. 2 is that back shelves material calculates principle;
Fig. 3 is the human-computer interface module graph of a relation;
Fig. 4 is the inheritance of self-defined control class.
(5) embodiment
See Fig. 1, Fig. 2, utilize radius bend to derive depth and a shelves material level in back is put, put according to depth formula and a back shelves material level that formula is controlled the patrix ram travel respectively and the back shelves are anticipated the position, thereby accurately control bending angle and bending position, put and the patrix process at the back shelves material level of X, Y direction control bending mechanical part respectively; At directions X, anticipate the position with the backstop of driven by servomotor bending mechanical part, thus decision bending position; In the Y direction, control the stroke of the slide block of bending mechanical part by the servo-hydraulic system, thereby determine the size of angle; Depth and back shelves material level are put calculating
The depth formula is as follows:
H≈V/2tg(A/2)
h＝H-(R+t)/sin(A/2)+R
Sweep after the metal material bending is circular arc, and dotted line has been divided into two parts to material among Fig. 3, inboard pressurized in BENDING PROCESS and shortening, outside tension and extending.There is one deck length to remain unchanged in the compression and the two-part intersection that stretches, is called neutral line.The position of neutral line is along with the ratio change of internal diameter R and thickness t and mobile.Neutral line displacement coefficient x=d/t can table look-up 1.
Table 1
| ??R/t | ??0.1 | ??0.25 | ??0.5 | ??1.0 | ??2.0 | ??3.0 | ??4.0 | ?＞4.0 |
| ??x | ??0.82 | ??0.87 | ??0.92 | ??0.96 | ??0.99 | ??0.992 | ??0.995 | ?1.0 |
Fig. 3 has shown the location dimension of back shelves material, deforms during owing to sheet bending, and the size that marks on the workpiece all is the size of outside surface, and the workman can't know the size that deformation takes place when blanking.In the bending deformation process of material, neutral line length does not change, and therefore only obtains the length of neutral line, could be according to the target size blanking, and anticipating the position for the back shelves provides accurate data.
Can calculate the arc length L of knee neutral line according to the plane geometry principle
2: L2=(R+xt) A ∏/180
When blanking, the contact position of patrix and material should be at the mid point of circular arc, the position formula of back shelves material:
W＝L1+L
2/2＝L1+(R+xt)A∏/360
L1, t can directly measure according to workpiece in the formula, and neutral line displacement coefficient x tables look-up and 1 can get.
Relation between A/F, material thickness and radius bend R simulates by the BP neural network;
Each neuron between its left and right each layer of BP neural network is realized full the connection, promptly each neuron of left side layer all has with each neuron of right layer and is connected, do not connect and have between each neuron of levels, after a pair of mode of learning offers network, its neuronic activation value will be propagated to output layer through each middle layer from input layer, the network of exporting corresponding to input pattern at each neuron of output layer responds, then, by reduce wishing the principle of output with actual output error, from output layer through the middle layer, get back to input layer at last and successively revise each connection weight; Because the BP neural network has the hidden layer that mediates, can approach with the BP network of single hidden layer for any continuous function in the closed interval, promptly 3 layers of BP network just can be finished the mapping that n arbitrarily ties up the m dimension, thereby this paper adopts 3 layers of BP neural network of single hidden layer to set up forecast model;
Determine the node of hidden layer, establishing the input layer number is k, and then the node number of hidden layer is 2k+1.A/F, material thickness are as input, radius is as output, k=2, then the node number of setting network hidden layer is 5, use from processing bool the sample operation record as training sample, getting 5000 groups of samples trains as MATLAB with simulation software, the training function adopts trainlm (a kind of BP training special purpose function title, can't be translated as Chinese name), four weight matrix that train according to the great amount of samples data: the weight matrix WI2H of input layer, threshold values matrix B IAS1, the weight matrix WH2O of hidden layer, threshold values matrix B IAS2;
After trying to achieve radius R according to the radius curve that simulates, R is brought into a depth formula and the back shelves material formula above derived can calculate depth and back shelves material size.
Claims (3)
1, a kind of modified plate method for designing numerical control bending, utilizing radius bend to derive depth puts with a back shelves material level, put according to depth formula and a back shelves material level that formula is controlled the patrix ram travel respectively and the back shelves are anticipated the position, thereby accurately control bending angle and bending position, put and the patrix process at the back shelves material level of X, Y direction control bending mechanical part respectively; At directions X, anticipate the position with the backstop of driven by servomotor bending mechanical part, thus decision bending position; In the Y direction, control the stroke of the slide block of bending mechanical part by the servo-hydraulic system, thereby determine the size of angle; It is characterized in that:
Depth and back shelves material level are put calculating
The depth formula is as follows:
H≈V/2tg(A/2)
h＝H-(R+t)/sin(A/2)+R
Sweep after the metal material bending is a circular arc, inboard pressurized in BENDING PROCESS and shortening, outside tension and extending, there is one deck length to remain unchanged in the compression and the two-part intersection that stretches, be called neutral line, the position of neutral line is along with the ratio change of internal diameter R and thickness t and mobile
Can calculate the arc length of knee neutral line: L2=(R+xt) A ∏/180 according to the plane geometry principle
When blanking, the contact position of patrix and material should be at the mid point of circular arc,
The position formula of back shelves material:
w＝L1+L2/2＝L1+(R+xt)A∏/360
L1, t can directly measure according to workpiece in the formula; L1 is a length of straight flange, and t is a material thickness.
2, according to the described a kind of modified plate method for designing numerical control bending of claim 1, it is characterized in that: the relation between A/F, material thickness and radius bend R simulates by the BP neural network.
3, according to the described a kind of modified plate method for designing numerical control bending of claim 2, it is characterized in that: its left side of BP neural network, each neuron between right each layer is realized full the connection, promptly each neuron of left side layer all has with each neuron of right layer and is connected, do not connect and have between each neuron of levels, after a pair of mode of learning offers network, its neuronic activation value will be propagated to output layer through each middle layer from input layer, the network of exporting corresponding to input pattern at each neuron of output layer responds, then, by reduce wishing the principle of output with actual output error, from output layer through the middle layer, get back to input layer at last and successively revise each connection weight; Because the BP neural network has the hidden layer that mediates, can approach with the BP network of single hidden layer for any continuous function in the closed interval, promptly 3 layers of BP network just can be finished the mapping that n arbitrarily ties up the m dimension, thereby this paper adopts 3 layers of BP neural network of single hidden layer to set up forecast model; Determine the node of hidden layer, establishing the input layer number is k, and then the node number of hidden layer is 2k+1.A/F, material thickness are as input, radius is as output, k=2, then the node number of setting network hidden layer is 5, uses from the sample operation record of processing bool as training sample, getting 5000 groups of samples trains as MATLAB with simulation software, the training function adopts trainlm, four weight matrix that train according to the great amount of samples data: the weight matrix WI2H of input layer, threshold values matrix B IAS1, the weight matrix WH20 of hidden layer, threshold values matrix B IAS2;
After trying to achieve radius R according to the radius curve that simulates, R is brought into a depth formula and the back shelves material formula above derived can calculate depth and back shelves material size.
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| CN103350135A (en) * | 2013-07-15 | 2013-10-16 | 首帆动力设备制造(上海)有限公司 | Method for machining any angle through standard mould |
| CN103480704A (en) * | 2013-09-10 | 2014-01-01 | 西北工业大学 | Incremental bending and forming method of hat-shaped member |
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| CN113664103B (en) * | 2021-08-12 | 2023-09-22 | 南京钢铁股份有限公司 | Finite element simulation method for multi-pass progressive bending forming of U-shaped piece of ultra-high strength steel plate |
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