End-Milling Force Control System with Surface Roughness Monitoring
Journal Title: Machine Design - Year 2017, Vol 9, Issue 3
Abstract
The aim of this paper is to present an adaptive force regulation system in end milling with the newly developed surface roughness prediction model. The relations between measured cutting force, cutting conditions and actual surface roughness of machined surface were determined via adaptive neuro-fuzzy inference modeling (ANFIS). The trained ANFIS model predicts the effect of machining parameters and maximal cutting force on surface roughness during machining. End milling machining process of hardened die steel with carbide end mill was used for modeling. The developed model monitors the actual surface roughness and in case of excessive value provides warnings to the operator or stops the machining process for tool change.
Authors and Affiliations
Uros Zuperl, Franc Cus
Keywords
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- EP ID EP326817
- DOI 10.24867/MD.9.2017.3.107-110
- Views 107
- Downloads 0
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