An online intelligent algorithm pipeline for the elimination of springback effect during sheet metal bending

被引：1

作者：

Dilan, Rasim Askin ^{[1
,2
]}

Balkan, Tuna ^{[2
]}

Platin, Bulent E. ^{[2
]}

机构：

[1] ASELSAN Inc, Servo & Stabilizat Technol Design Dept, SST, TR-06370 Ankara, Turkey

[2] Middle East Tech Univ, Mech Engn Dept, TR-06800 Ankara, Turkey

来源：

INTERNATIONAL CONFERENCE ON THE TECHNOLOGY OF PLASTICITY, ICTP 2017 | 2017年 / 207卷

关键词：

Sheet Bending; Material Identification; Machine Learning; Neural Networks; Classification; Anomaly Detection; NEURAL-NETWORK; PREDICTION;

D O I：

10.1016/j.proeng.2017.10.1081

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

An intelligent control algorithm pipeline is proposed to eliminate the effects of variation of physical properties of sheet metals on bending. This pipeline can be applied to any conventional press brake without the necessity of additional sensors and/or equipment. The overall pipeline is capable of extracting features representing sheet metal during bending in an online manner, classifying it accordingly, running a neural network model specific to the classified material, and calculating the correct punch displacement in order to eliminate springback effect. Moreover, algorithm pipeline can also decide whether the material processed is already in the material database or not. If the material is not in the material database, it directs the user in order to generate a quick reference model for completing the bending procedure and adds this model in the material database. The overall algorithm pipeline provides an autonomous approach to material bending and saves time by eliminating tedious calibration and bending iterations. (C) 2017 The Authors. Published by Elsevier Ltd. Peer-review under responsibility of the scientific committee of the International Conference on the Technology of Plasticity.

引用

页码：1588 / 1593

页数：6

共 10 条

[1] Identification of elasto-plastic characteristics by means of air-bending test [J].

Antonelli, Luca ;

Salvini, Pietro ;

Vivio, Francesco ;

Vullo, Vincenzo .

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2007, 183 (01) :127-139

[2] Parameter selection by an artificial neural network for a laser bending process [J].

Casalino, G ;

Ludovico, AD .

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2002, 216 (11) :1517-1520

[3] Application of Multivariate Adaptive Regression Splines to Sheet Metal Bending Process for Springback Compensation [J].

Dilan, Rasim Askin ;

Balkan, Tuna ;

Platin, Bulent E. .

NUMIFORM 2016: THE 12TH INTERNATIONAL CONFERENCE ON NUMERICAL METHODS IN INDUSTRIAL FORMING PROCESSES, 2016, 80

[4] Effect of the training set size on springback control by neural network in an air bending process [J].

Forcellese, A ;

Gabrielli, F ;

Ruffini, R .

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1998, 80-1 :493-500

[5] Using genetic algorithm-back propagation neural network prediction and finite-element model simulation to optimize the process of multiple-step incremental air-bending forming of sheet metal [J].

Fu, Zemin ;

Mo, Jianhua ;

Chen, Lin ;

Chen, Wei .

MATERIALS & DESIGN, 2010, 31 (01) :267-277

[6] Studies on the prediction of springback in air vee bending of metallic sheets using an artificial neural network [J].

Inamdar, MV ;

Date, PP ;

Desai, UB .

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2000, 108 (01) :45-54

[7] Springback prediction for sheet metal forming based on GA-ANN technology [J].

Liu, Wenjuan ;

Liu, Qiang ;

Ruan, Feng ;

Liang, Zhiyong ;

Qiu, Hongyang .

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2007, 187 :227-231

[8] Application of neural network in sheet metal bending process [J].

Pathak, KK ;

Panthi, S ;

Ramakrishnan, N .

DEFENCE SCIENCE JOURNAL, 2005, 55 (02) :125-131

[9] AN ADAPTIVE PRESSBRAKE CONTROL USING AN ELASTIC-PLASTIC MATERIAL MODEL [J].

STELSON, KA ;

GOSSARD, DC .

JOURNAL OF ENGINEERING FOR INDUSTRY-TRANSACTIONS OF THE ASME, 1982, 104 (04) :389-393

[10] Experimental implementation of neural network springback control for sheet metal forming [J].

Viswanathan, V ;

Kinsey, B ;

Cao, J .

JOURNAL OF ENGINEERING MATERIALS AND TECHNOLOGY-TRANSACTIONS OF THE ASME, 2003, 125 (02) :141-147

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