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Some Investigations on Drilling of Aluminium Alloy from FEA-Based Simulation Using DEFORM-3D Read chapter Read first chapter

2020 | OriginalPaper | Chapter

15. Machining Performance Prediction for Zirconia Toughened Alumina Insert in Machining of High Carbon Steel Using Computational Approach

Authors : Subhrojyoti Mazumder, N. Mandal

Published in: Advances in Simulation, Product Design and Development

Publisher: Springer Singapore

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Abstract

This work aims to develop a finite element model for zirconia toughened alumina cutting insert to predict the cutting performances in machining of AISI 1095 steel using an implicit Lagrangian computational method by means of commercially available Deform 3D machining software package. Different cutting forces associated with the turning operation, temperature distribution at the tool tip as well as workpiece deformation zones, induced stress and strain rate at the workpiece shearing regimes are evaluated using this FE model. Material removal rate is also calculated using this computational approach. This computational technique has been found as a suitable approach to predict the cutting performances of the modelled zirconia toughened alumina cutting insert turning against the high carbon steel.

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previous chapter Analysis and Prediction of Electrical Discharge Coating Using Artificial Neural Network (ANN)
next chapter FEM Approach to Predict Three Jaw Chuck Stiffness and Its Effect on Gripping Force for High Speed Turning and Experimental Verification
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Metadata
Title
Machining Performance Prediction for Zirconia Toughened Alumina Insert in Machining of High Carbon Steel Using Computational Approach
Authors
Subhrojyoti Mazumder
N. Mandal
Copyright Year
2020
Publisher
Springer Singapore
Book
Advances in Simulation, Product Design and Development

Print ISBN: 978-981-329-486-8

Electronic ISBN: 978-981-329-487-5

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-32-9487-5_15

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