A neural network approach for selection of powder metallurgy materials and process parameters

Author:

Cherian R.P.,Smith L.N.,Midha P.S.

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference18 articles.

1. Smith LN, Midha PS. A knowledge based advisor for selection of ferrous metal powders using tensile strength information as a selection criterion. Eleventh ISPE/IEE/IFAC International Conference on CAD/CAM and Factories of the Future'95, Columbia, South America. 1995.

2. A knowledge based advisory system for ferrous powder selectionAdvances in powder metallurgy & particulate materials—1997;Smith,1997

3. Predicting powder metal mechanical properties—a statistical approach;Mantini;Advances in powder metallurgy and particulate materials,1993

4. Property variation in sintered steel: design of experiments;Bergquist;The International Journal of Powder Metallurgy,1997

5. Knowledge processing and applied artificial intelligence;Dutta,1993

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