Machinability investigation during turning of polyoxymethylene POM-C and optimization of cutting parameters using Pareto analysis, linear regression and genetic algorithm

Machinability investigation during turning of polyoxymethylene POM-C and optimization of cutting parameters using Pareto analysis, linear regression and genetic algorithm

This paper presents a study on the dry turning of polyoxymethylene copolymer POM-C. The effect of five factors (cutting speed, feed rate, depth of cut, nose radius, and main cutting edge angle) on machinability is evaluated using four output parameters: surface roughness, tangential force, cutting p...

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Bibliographic Details
Main Authors: Tallal Hakmi, Amine Hamdi, Youssef Touggui, Aissa Laouissi, Salim Belhadi, Mohamed Athmane Yallese
Format: Article
Language:English
Published: Polish Academy of Sciences 2024-03-01
Series:Archive of Mechanical Engineering
Subjects:
turning
pom-c
pareto chart
multiple regression
genetic algorithm
Online Access:https://journals.pan.pl/Content/130026/PDF/AME_2024_149184.pdf

Internet

https://journals.pan.pl/Content/130026/PDF/AME_2024_149184.pdf

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