Cutting Capability Assessment of Highly Porous CBN Wheels by Microrelief of Plane Parts from 06Cr14Ni6Cu2MoWТi-Sh Steel Using Artificial Intelligence System

Cutting Capability Assessment of Highly Porous CBN Wheels by Microrelief of Plane Parts from 06Cr14Ni6Cu2MoWТi-Sh Steel Using Artificial Intelligence System

The abrasive tools are the weakest element in the grinding process system, to which great attention is being paid by scientific and industrial collectives. Eleven highly porous wheels (HPWs) were tested: CBN30 (B76, B107, B126, B151) 100 OVK27-КF40; CBN30 B107 100 OVKC10-КF40; CBN30 B126 100(M, L) V...

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Bibliographic Details
Main Authors: Soler Yakov Iosifovich, Nguyen Manh Tiem, Nguyen Van Le
Format: Article
Language:English
Published: ITB Journal Publisher 2016-09-01
Series:Journal of Engineering and Technological Sciences
Subjects:
activation function
fuzzy logic
grinding
neural network
roughness
Online Access:http://journals.itb.ac.id/index.php/jets/article/view/2366/1650

Internet

http://journals.itb.ac.id/index.php/jets/article/view/2366/1650

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