Multi-objective optimization of tool wear, surface roughness, and material removal rate in finishing honing processes using adaptive neural fuzzy inference systems-Reference-Cited by-同舟云学术

Multi-objective optimization of tool wear, surface roughness, and material removal rate in finishing honing processes using adaptive neural fuzzy inference systems

Published:2023-04 Issue: Volume:182 Page:108354
ISSN:0301-679X
Container-title:Tribology International
language:en
Short-container-title:Tribology International

Author:

Buj-Corral Irene,Sender Piotr,Luis-Pérez Carmelo J.

Publisher

Elsevier BV

Subject

Surfaces, Coatings and Films,Surfaces and Interfaces,Mechanical Engineering,Mechanics of Materials

Reference44 articles.

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3. The experimental investigation of stone wear in honing;Wang;Key Eng Mater,2011

4. Vrac D., Sidjanin L., Balos S. The Effect of Honing Speed and Grain Size on Surface Roughness and Material Removal Rate during Honing. vol. 11. n.d.

5. Experimental study of effective parameters on honing process of cast iron cylinder;Blank;Int J Adv Manuf Technol,2012

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