Author:
Jovic Srdjan,Lazarevic Dragan,Vulovic Aleksa
Abstract
Purpose
The paper aims to analyze chip formation during machining process since it can be a very important indicator for the quality of the machining process, as some chip forms can be undesirable.
Design/methodology/approach
It is essential to determine the sensitivity of the chip formation on the basis of different machining parameters. The main goal of the study was to analyze the sensitivity of the chip formation during the machining process by using adaptive neuro-fuzzy inference system (ANFIS).
Findings
According to the results, the chip formation is the most sensitive to feed rate.
Originality/value
Different cutting tests were performed to monitor the chip formation on the basis of the cutting forces and the cutting displacement. ANFIS was used to estimate the sensitivity of the chip formation during the cutting process on the basis of different parameters.
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering
Reference14 articles.
1. Automatic chip-breaking detection in turning by frequency analysis of cutting force;Annals of the CIRP,1993
2. Chip structure classification based on mechanics of its formation;Journal of Materials Processing Technolog,1997
3. Performance-based predictive models and optimization methods for turning operations and applications: Part 2—assessment of chip forms/chip breakability;Journal of Manufacturing Processes,2006
4. Impact of depth of cut on chip formation in az91hp magnesium alloy milling with tools of varying cutting edge geometry;Advances in Science and Technology Research Journal,2015
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