CN101905239A - Forecast system of 40Cr wire and rod mechanical performance - Google Patents
Forecast system of 40Cr wire and rod mechanical performance Download PDFInfo
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- CN101905239A CN101905239A CN2010102321511A CN201010232151A CN101905239A CN 101905239 A CN101905239 A CN 101905239A CN 2010102321511 A CN2010102321511 A CN 2010102321511A CN 201010232151 A CN201010232151 A CN 201010232151A CN 101905239 A CN101905239 A CN 101905239A
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Abstract
The invention discloses a forecast system of 40Cr wire and rod mechanical performance, belonging to the technical field of steel rolling. In the system, measured 40Cr mechanical performance data is collected according to the measured 40Cr mechanical performance data, and a mechanical performance forecast model is established by utilizing a BP neural network technology in an MATALAB software; an MATALAB calculation function is called through a VC interface; a wire and rod mechanical performance control program is programmed by using VC language to carry out performance forecast and realize single batch forecast and batch forecast of wires and rods and automatic revise of a forecast result, and a report facing a user is also automatically generated; the system can carry out single batch performance forecast and batch performance forecast, automatically revise the forecast result according to National Standard GB8170/2008 and generated the report facing a client. The invention has the advantages of being capable of being used for replacing an actual sampling test, realizing that the wires can be delivered to a user once the wires leave a production line and lowering the production cost.
Description
Technical field
The invention belongs to the steel rolling technical field, relate in particular to a kind of 40Cr wire and rod mechanical performance forecast system, be used for the forecast of the mechanical property of the direct rolling medium carbon steel line bar of continuous casting billet.
Background technology
The steel performance forecasting technique is the focus of international in recent years field of metallurgy research and development, is one of important directions of China's steel rolling technology development.Utilize the idea of mathematical model prediction steel microstructure evolution and mechanical property to be born in the 1950's, a cover hot continuous rolling structure property prediction system has been developed in the Europe of the eighties.Developed the process simulation software (AISI-HSMN) of a cover sheet material hot continuous rolling nineties jointly in Univ British Columbia Canada metallurgical process center and NBS and North America 14 tame iron and steel enterprises.This software uses for many years in the 14 tame iron and steel enterprises of North America, and effect is obvious, is to develop one of the most successful hot continuous rolling structure property prediction software up to now.VAI engineering company (VAI) has developed hot-continuous-rolling strip steel quality control system (VAI-QStrip) cooperatively with Lin Ci steel mill recently, this system successively is used for the production process of mild steel and Aldecor, can calculate mechanical property according to the chemical composition of slab and the creation data of measurement.
Because line bar production process is extremely complicated high temperature, dynamic and instantaneous process, so the difficulty of the structure property prediction of line bar is bigger, be one of research direction of paying close attention to of domestic and international metallargist, associated a large amount of basic research works also launch in succession.Available data shows, existing line bar performance prediction model mainly study the high-carbon steel wire bar temperature, distortion or analog study the microscopic structure of bloom carbon steel wire rod with high develop; Structural transformation of high-carbon steel high-speed rod and mechanical properties prediction model, the organization mechanics performance prediction system of the direct rolling carbon steel wire rod with high of tandem rolling base, but the mechanical properties forecast system of not seeing the rolling medium carbon steel line of continuous casting billet bar.The present invention has set up a kind of forecast system that is used for the mechanical property of the direct rolling medium carbon steel 40Cr line bar of continuous casting billet, forecasts mechanical property according to the chemical composition of wire rod and the creation data of measurement.The predicted value precision is very high, and the forecast major part has replaced actual inspection by sampling, has realized that the wire rod off-line is the referable user.
Summary of the invention
The purpose of this invention is to provide a kind of 40Cr wire and rod mechanical performance forecast system, the mechanical properties forecast of the direct rolling medium carbon steel 40Cr line bar of continuous casting billet can be used to replace actual inspection by sampling, realizes that the wire rod off-line is the referable user, reduces production costs.
The present invention includes mechanical properties forecast model and forecast system; According to the 40Cr mechanical performance data of measuring, gather the 40Cr mechanical performance data of measuring, utilize in the MATALAB software BP nerual network technique to set up the mechanical properties forecast model; Call the MATALAB computing function by the VC interface; With VC language compilation wire and rod mechanical performance forecasting controlling program, this control program can be realized line bar list is criticized forecast, forecast in batches, carried out automatic rounding to predicting the outcome, and generates user oriented form simultaneously automatically;
The mechanical properties forecast model: the 40Cr mechanical performance data that collection is measured is also analyzed, determine that C content, Si content, Mn content, Cr content, hardening heat, temperature in product specification, the chemical composition are the input variable of mechanical properties forecast system, yield strength, tensile strength, extension property, section shrink and ballistic work is an output variable.Divide sub-grid according to specification, utilize the BP nerual network technique that sample is carried out learning training, determine the relational model of output variable and input variable, thereby the mechanical property of 40Cr line bar is forecast.
Forecast system makes up: at first compiling generates the dynamic link library that can supply VC to call in the MATALAB translation and compiling environment, directly calls this MATALAB dynamic link library then to realize the performance prediction model in the VC environment.
Compiling generates the dynamic link library that calls for VC in the MATALAB translation and compiling environment: the BP Neural Network Toolbox function link that the MATALAB software of under the MATLAB environment performance prediction core calculations function and this algorithm being used provides generates dynamic link library and supplies VC directly to call.
With described VC language compilation wire and rod mechanical performance control program, carrying out performance prediction is: specification, composition and the technological parameter of input line bar, according to input parameter, yield strength, tensile strength, extension property, section that do as one likes energy forecasting model calculates the outlet bar shrink and ballistic work; Forecast system carries out single batch of prediction according to user's request to the line bar, also can provide original database that the line bar is carried out the batch prediction according to the user; Carry out automatic rounding to predicting the outcome and according to the customer requirements automatic report generation according to GB GB8170/2008.
Description of drawings
Fig. 1 is the neural network structure model.
Fig. 2 is a 40Cr performance prediction system construction drawing.
Fig. 3 is the yield strength value and the experiment measured value of 40Cr performance prediction system prediction.
Fig. 4 is the tensile strength values and the experiment measured value of 40Cr performance prediction system prediction.
Fig. 5 is the elongation after fracture and the experiment measured value of 40Cr performance prediction system prediction.
Fig. 6 is the contraction percentage of area and the experiment measured value of 40Cr performance prediction system prediction.
Fig. 7 is the ballistic work and the experiment measured value of 40Cr performance prediction system prediction.
The specific embodiment
The present invention is to provide 40Cr line bar performance prediction system, this system is made up of software forms and software module two parts.All human-computer dialogue display interfaces all are included in software forms part, computing module all is included in the software module part, by the calculating of the realization of the button in corresponding forms corresponding module, final result is exported with interface display output or with excel data form form.Computing module comprises single batch of predictor computation module, batch predictor computation module and automatic rounding three parts.
Described human-computer dialogue display interface comprises parameter inputting interface and accordingly result display interface.
Program in the described software module adopts MATALAB assembler language and VC assembler language to unite and writes.
Described single batch of prediction module, by import specification, C content, Si content, Mn content, Cr content, hardening heat and the temperature of the 40Cr line bar that will forecast in the parameter inputting interface, the button of clicking corresponding calculated function in the single batch of prediction module then just can be realized the mechanical property of single batch of prediction product.
Described batch prediction, be the batch forecast database (specification, C content, Si content, Mn content, Cr content, hardening heat and the isoparametric database table of temperature that comprise the 40Cr line bar of needs prediction) of calling in the user by corresponding data importing button in the click batch prediction module, realize the mechanical property of the 40Cr line bar of batch predictive user requirement again by the button of clicking the corresponding calculated function.
Described automatic rounding is used for realizing and will carrying out the revision of the convention by GB to predicting the outcome.
Claims (3)
1. a 40Cr wire and rod mechanical performance forecast system is characterized in that: comprise mechanical properties forecast model and forecast system; The 40Cr mechanical performance data of gather measuring utilizes in the MATALAB software BP nerual network technique to set up the mechanical properties forecast model; Call the MATALAB computing function by the VC interface; With VC language compilation wire and rod mechanical performance forecasting controlling program, this control program can be realized line bar list is criticized forecast, forecast in batches, carried out automatic rounding to predicting the outcome, and generates user oriented form simultaneously automatically;
The mechanical properties forecast model is: determine C content, Si content, Mn content, Cr content, hardening heat, temperature totally 7 input variables that variable is the mechanical properties forecast system in product specification, the chemical composition, yield strength, tensile strength, extension property, section shrink and ballistic work is an output variable, utilize the BP nerual network technique to determine the relational model of output variable and input variable, finally obtain the mechanical property of 40Cr line bar;
Forecast system makes up: at first compiling generates the dynamic link library that can supply VC to call in the MATALAB translation and compiling environment, directly calls this MATALAB dynamic link library then to realize the performance prediction model in the VC environment.
2. 40Cr wire and rod mechanical performance forecast system according to claim 1, it is characterized in that compiling generates the dynamic link library that calls for VC in the MATALAB translation and compiling environment: the BP Neural Network Toolbox function link that the MATALAB software of under the MATLAB environment performance prediction core calculations function and this algorithm being used provides generates dynamic link library and supplies VC directly to call.
3. forecast system according to claim 1, it is characterized in that, with described VC language compilation wire and rod mechanical performance control program, carrying out performance prediction is: specification, composition and the technological parameter of input line bar, according to input parameter, yield strength, tensile strength, extension property, section that do as one likes energy forecasting model calculates the outlet bar shrink and ballistic work; This performance prediction method can be carried out single batch of prediction to the line bar according to user's request, perhaps provides original database that the line bar is carried out the batch prediction according to the user; Carry out automatic rounding to predicting the outcome and according to the customer requirements automatic report generation according to GB GB8170/2008.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102937784A (en) * | 2012-10-30 | 2013-02-20 | 中冶南方工程技术有限公司 | Artificial neural network based method for controlling online prediction of casting billet quality |
| CN104357639A (en) * | 2014-11-25 | 2015-02-18 | 九江市九星运动用品有限公司 | Table type soccer cue processing technology |
| CN107091609A (en) * | 2017-06-02 | 2017-08-25 | 四川大学 | A kind of full-automatic machine vision stator bar detection means |
| CN108763637A (en) * | 2018-04-19 | 2018-11-06 | 张家港联峰钢铁研究所有限公司 | A kind of calculating of hot rolling wire tensile strength and pre-judging method |
| CN110674568A (en) * | 2019-08-30 | 2020-01-10 | 陕钢集团汉中钢铁有限责任公司 | Method for predicting mechanical property of bar |
| CN113761802A (en) * | 2021-09-10 | 2021-12-07 | 成都材智科技有限公司 | Nuclear power structural material data performance prediction model and model construction method |
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2010
- 2010-07-15 CN CN2010102321511A patent/CN101905239A/en active Pending
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102937784A (en) * | 2012-10-30 | 2013-02-20 | 中冶南方工程技术有限公司 | Artificial neural network based method for controlling online prediction of casting billet quality |
| CN104357639A (en) * | 2014-11-25 | 2015-02-18 | 九江市九星运动用品有限公司 | Table type soccer cue processing technology |
| CN107091609A (en) * | 2017-06-02 | 2017-08-25 | 四川大学 | A kind of full-automatic machine vision stator bar detection means |
| CN107091609B (en) * | 2017-06-02 | 2023-07-07 | 四川大学 | Full-automatic machine vision stator bar detection device |
| CN108763637A (en) * | 2018-04-19 | 2018-11-06 | 张家港联峰钢铁研究所有限公司 | A kind of calculating of hot rolling wire tensile strength and pre-judging method |
| CN108763637B (en) * | 2018-04-19 | 2022-06-03 | 张家港联峰钢铁研究所有限公司 | Calculation and prejudgment method for tensile strength of hot-rolled wire |
| CN110674568A (en) * | 2019-08-30 | 2020-01-10 | 陕钢集团汉中钢铁有限责任公司 | Method for predicting mechanical property of bar |
| CN113761802A (en) * | 2021-09-10 | 2021-12-07 | 成都材智科技有限公司 | Nuclear power structural material data performance prediction model and model construction method |
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Application publication date: 20101208 |