Neural Network Multiobjective Optimization of Hot Forging-Reference-Cited by-同舟云学术

Neural Network Multiobjective Optimization of Hot Forging

Published:2018 Issue: Volume:67 Page:498-503
ISSN:2212-8271
Container-title:Procedia CIRP
language:en
Short-container-title:Procedia CIRP

Author:

D’Addona Doriana M.,Antonelli Dario

Publisher

Elsevier BV

Subject

General Medicine

Reference15 articles.

1. Preliminary Investigation into the Effects of Friction, Work-piece Temperature, Die Temperature, and Stroke Speed on Hot Forging Die Life Department of Mechanical Engineering;Grobaski,2004

2. T. Altan, G. Ngaile and G. Shen (2004) Cold and Hot Forging: Fundamental and Application, 1st ed., ASM International.

3. Samal, C.H. A. N. D. A. N. Study of process parameters towards improving efficiency of closed die hot forging process. Diss. 2014.

4. The effects of flash allowance and bar size on forming load and metal flow in closed die forging;Fereshteh-Saniee;Journal of Materials Processing Technology,2006

5. Influence of flash design upon process parameters of hot die forging;Tomov;Journal of materials processing technology,2004

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