Evolutionary optimization of deep-drawing processes on servo screw presses with freely programmable force and motion functions

被引:0
作者
Kriechenbauer, Sebastian [1 ]
Mueller, Peter [1 ]
Mauermann, Reinhard [1 ]
Drossel, Welf-Guntram [1 ,2 ]
机构
[1] Fraunhofer Inst Machine Tools & Forming Technol I, Nothnitzer Str 44, D-01187 Dresden, Germany
[2] Tech Univ Chemnitz, Inst Werkzeugmaschinen & Produktionsprozesse, Professur Adaptronik & Funktionsleichtbau, D-09107 Chemnitz, Germany
来源
54TH CIRP CONFERENCE ON MANUFACTURING SYSTEMS 2021-TOWARDS DIGITALIZED MANUFACTURING 4.0, CMS 2021 | 2021年 / 104卷
关键词
deep-drawing; evolutionary process optimization; servo screw press; machine learning; cushion-ram-pulsation; variable stroke; SPRINGBACK; SHEETS;
D O I
10.1016/j.procir.2021.11.250
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Servo screw presses with freely programmable force and motion functions lead to innovative forming technologies for deep drawing of sheet metals. The advanced application potential of the machine type is mainly based on the accuracy and flexibility. Due to the increase of process parameters in deep-drawing processes with variable force and motion functions, the standards for method planning (consideration of machine properties, parameterization of the movement functions) in comparison to conventional deep-drawing processes increase. The high number of parameters motivates the aim: A systematic design of deep-drawing processes with free force and motion functions on servo presses based on computational science methods. In the context of this publication, the determination of optimal parameters (force and motion functions) for a deep-drawing process with superimposed vibrations on servo screw presses will be investigated. With the help of evolutionary optimization approaches a process-design for a deep-drawing process with superposition of low-frequency oscillations will be carry out. The results of the evolutionary optimization approaches are validated by experiments with cross die part. (c) 2021 The Authors. Published by Elsevier B.V.
引用
收藏
页码:1482 / 1487
页数:6
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