Sink-mark minimization in injection molding through response surface regression modeling and genetic algorithm-Reference-Cited by-同舟云学术

Sink-mark minimization in injection molding through response surface regression modeling and genetic algorithm

Published:2009-03-27 Issue:9-10 Volume:45 Page:867-874
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Mathivanan D.,Parthasarathy N. S.

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s00170-009-2021-z.pdf

Reference25 articles.

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2. Mathivanan D, Parthasarathy NS (2008) Sink mark prediction and optimization—a review. SPE-ANTEC 2008:2126–2132

3. Shi F, Lou ZL, Lu JG, Zhang YQ (2003) Optimisation of plastics injection moulding process with soft computing. Int J Adv Manuf Technol 21:656–661. doi: 10.1007/s00170-002-1374-3

4. Tursi D, Bistany SP (2000) Process and tooling factors affecting sink marks for amorphous and crystalline resins. J Inj Molding Technol 4(3):114–119

5. Kazmer D, Rowland J, Sherbelis G (1997) The foundation of intelligent process control for injection molding. J Inj Molding Technol 1(1):44–56

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