Modeling and optimization of cold extrusion process by using response surface methodology and metaheuristic approaches-Reference-Cited by-同舟云学术

Modeling and optimization of cold extrusion process by using response surface methodology and metaheuristic approaches

Published:2016-10-21 Issue:11 Volume:29 Page:1077-1087
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Ong Pauline,Chin Desmond Daniel Vui Sheng,Ho Choon Sin,Ng Chuan Huat

Funder

Fundamental Research Grant Scheme

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-016-2626-8/fulltext.html

Reference40 articles.

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2. Kuzman K (2001) Problems of accuracy control in cold forming. J Mater Process Technol 113:10–15

3. Narasimha M, Rejikumar R (2013) Plastic pipe defects minimization. Int J Innov Res Dev 2:1337–1351

4. Ashhab MS, Breitsprecher T, Wartzack S (2014) Neural network based modeling and optimization of deep drawing—extrusion combined process. J Intell Manuf 25:77–84

5. Bakhtiari H, Karimi M, Rezazadeh S (2014) Modeling, analysis and multi-objective optimization of twist extrusion process using predictive models and meta-heuristic approaches, based on finite element results. J Intell Manuf 27:1–11

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