Artificial neural network based model for computation of injection mould complexity-Reference-Cited by-同舟云学术

Artificial neural network based model for computation of injection mould complexity

Published:1997-08 Issue:8 Volume:13 Page:577-586
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Raviwongse Rawin,Allada Venkat

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/BF01176302.pdf

Reference30 articles.

1. D. V. Rosato and D. V. Rosato,Injection Molding Handbook, Van Nostrand Reinhold, New York, 1986.

2. Society of Manufacturing Engineers,Tool and Manufacturing Engineers Handbook (TMEH) Vol. 8: Plastic Parts Manufacturing, Society of Manufacturing Engineers, 1996.

3. I. I. Rubin,Injection Molding Theory and Practice, John Wiley & Sons, New York, 1972.

4. D. Rosen, ?A feature-based representation to support the design process and the manufacturability evaluation of mechanical components?, PhD Dissertation, University of Massachusetts, Amherst, 1992.

5. C. Poli, P. Dastidar and P. V. Mahajan, ?Design for stamping: Part I ? Analysis of part attributes that impact die construction costs for metal stampings?,Proceedings, ASME Design Automation Conference, Miami, 1991.

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