Fast models for online-optimization during open die forging

被引：18

作者：

Recker, D. ^{[1
]}

Franzke, M. ^{[1
]}

Hirt, G.

机构：

[1] Rhein Westfal TH Aachen, Inst Met Forming, Aachen, Germany

来源：

CIRP ANNALS-MANUFACTURING TECHNOLOGY | 2011年 / 60卷 / 01期

关键词：

Forging; Microstructure; Optimization;

D O I：

10.1016/j.cirp.2011.03.142

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

One of the most important target parameters during open die forging is the microstructure, respectively the grain size. To guarantee the mechanical properties within the workpiece it is of high interest to predict the microstructure during the forging process. This paper details different semi-empiric models that ultimately help to predict the microstructure properties of a forged block. The results of the fast models show a good match with the slower FEA reference solution. The vision is, to use the developed models in an assistant system which suggests the optimal forging continuation and thus helps to optimize the forging process online. (C) 2011 CIRP.

引用

页码：295 / 298

页数：4

共 50 条

[41] Implementation of an open-die forging process for large hollow shafts for wind power plants with respect to an optimized microstructure
Wolfgarten, M.
Rosenstock, D.
Schaeffer, L.
Hirt, G.
METALLURGIA ITALIANA, 2015, (04): : 43 - 49
[42] Optimization of the Die Forging Parameters of 21-4N Heat-Resistant Steel by Processing Maps
Huang, Xiaomin
Zang, Yong
Guan, Ben
Ji, Hongchao
TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS, 2021, 74 (11) : 2713 - 2728
[43] Robust and fast nonlinear optimization of diffusion MRI microstructure models
Harms, R. L.
Fritz, F. J.
Tobisch, A.
Goebel, R.
Roebroeck, A.
NEUROIMAGE, 2017, 155 : 82 - 96
[44] Structural changes of radial forging die surface during service under thermo-mechanical fatigue
Nematzadeh, Fardin
Akbarpour, Mohammad Reza
Kokabi, Amir Hosein
Sadrnezhaad, Seyed Khatiboleslam
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2009, 527 (1-2): : 98 - 102
[45] In situ observation of re-lubrication of die-workpiece interface during forging with ram pulsation
Matsumoto, Ryo
Nakamura, Yusaku
Utsunomiya, Hiroshi
JOURNAL OF MANUFACTURING PROCESSES, 2023, 101 : 675 - 686
[46] Microstructure prediction of Nimonic 80A for large exhaust valve during hot closed die forging
Jeong, HS
Cho, JR
Park, HC
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2005, 162 : 504 - 511
[47] A precise BP neural network-based online model predictive control strategy for die forging hydraulic press machine
Lin, Y. C.
Chen, Dong-Dong
Chen, Ming-Song
Chen, Xiao-Min
Li, Jia
NEURAL COMPUTING & APPLICATIONS, 2018, 29 (09) : 585 - 596
[48] 2D-based optimization of closed die forging using the variable gutter technique and response surface methodology
Sheikhbahaee, Hamed
Mirahmadi, S. Javid
INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM, 2025, 19 (03): : 1791 - 1806
[49] PHYSICAL MODELLING AND NUMERICAL FINITE ELEMENT METHOD (FEM) SIMULATION OF FORGING IN OPEN DIE OF ALLOY AIMgSi0,5
Janjic, M.
Vukcevic, M.
Jurkovic, Z.
Sibalic, N.
Savicevic, S.
METALURGIJA, 2016, 55 (02): : 181 - 184
[50] Evolution of microstructure and mechanical properties of AZ61 Mg alloy during cyclic closed die forging
Xia, X. S.
Huang, J.
Zhang, R. C.
Zhao, Q.
Hu, Q. H.
Deng, T. Q.
Xiao, Y. L.
Sun, C. J.
MATERIALS RESEARCH INNOVATIONS, 2013, 17 : S130 - S134

← 1 2 3 4 5 →