A hybrid finite element method–artificial neural network approach for predicting residual stresses and the optimal cutting conditions during hard turning of AISI 52100 bearing steel-Reference-Cited by-同舟云学术

A hybrid finite element method–artificial neural network approach for predicting residual stresses and the optimal cutting conditions during hard turning of AISI 52100 bearing steel

Published:2008-01 Issue:4 Volume:29 Page:873-883
ISSN:0261-3069
Container-title:Materials & Design
language:en
Short-container-title:Materials & Design

Author:

Umbrello D.,Ambrogio G.,Filice L.,Shivpuri R.

Publisher

Elsevier BV

Subject

Applied Mathematics,General Mathematics

Reference33 articles.

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2. Effect of hardness on the surface integrity of AISI 4340 steel;Matsumoto;J Eng Ind,1986

3. The effect of tool edge geometry on workpiece sub-surface deformation and through-thickness residual stresses for hard turning of AISI 52100 steel;Thiele;Trans NAMRI/SME,1999

4. Surface integrity generated by precision hard turning;Matsumoto;Ann CIRP,1999

5. The surface integrity of turned and ground hardened bearing steel;Abrao;Wear,1996

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