The University of Southampton
University of Southampton Institutional Repository

A 2D finite element approach for predicting the machining performance of nanolayered TiAlCrN coating on WC-Co cutting tool during dry turning of AISI 1045 steel

A 2D finite element approach for predicting the machining performance of nanolayered TiAlCrN coating on WC-Co cutting tool during dry turning of AISI 1045 steel
A 2D finite element approach for predicting the machining performance of nanolayered TiAlCrN coating on WC-Co cutting tool during dry turning of AISI 1045 steel

The hard coatings have proved very effective in industrial machining applications, and the development of new coatings relies more on simulations of the cutting process. In this regard, the present work investigates the machining performance of newly developed TiAlCrN multi-layered coating on tungsten carbide cutting tool during dry turning of AISI 1045 steel. A finite element model with damage evolution based on fracture energy was developed with the help of Abaqus/Explicit software. Later, the numerical results were validated by experimental measurements. The application of coating not only helped in the reduction of friction and tool temperatures at different cutting speeds but also affected the chip formation mechanism significantly. The secondary shear plane (SSP) was generated while machining with both uncoated and coated cutting tools. However, the SSP appeared only at higher cutting speeds in the case of the coated cutting tool. The proposed finite element model is able to predict the instability and formation of secondary serrated teeth with good accuracy.

AISI 1045 steel, Finite element analysis, Serrated chip, TiAlCrN coating
0272-8842
25073-25088
Kumar, Ch Sateesh
80bd86e0-231a-4ee6-bdbf-0ed4b38e838f
Zeman, Pavel
22bdbc2c-c15c-487b-a737-7a6cc1d5c874
Polcar, Tomas
c669b663-3ba9-4e7b-9f97-8ef5655ac6d2
Kumar, Ch Sateesh
80bd86e0-231a-4ee6-bdbf-0ed4b38e838f
Zeman, Pavel
22bdbc2c-c15c-487b-a737-7a6cc1d5c874
Polcar, Tomas
c669b663-3ba9-4e7b-9f97-8ef5655ac6d2

Kumar, Ch Sateesh, Zeman, Pavel and Polcar, Tomas (2020) A 2D finite element approach for predicting the machining performance of nanolayered TiAlCrN coating on WC-Co cutting tool during dry turning of AISI 1045 steel. Ceramics International, 46 (16), 25073-25088. (doi:10.1016/j.ceramint.2020.06.294).

Record type: Article

Abstract

The hard coatings have proved very effective in industrial machining applications, and the development of new coatings relies more on simulations of the cutting process. In this regard, the present work investigates the machining performance of newly developed TiAlCrN multi-layered coating on tungsten carbide cutting tool during dry turning of AISI 1045 steel. A finite element model with damage evolution based on fracture energy was developed with the help of Abaqus/Explicit software. Later, the numerical results were validated by experimental measurements. The application of coating not only helped in the reduction of friction and tool temperatures at different cutting speeds but also affected the chip formation mechanism significantly. The secondary shear plane (SSP) was generated while machining with both uncoated and coated cutting tools. However, the SSP appeared only at higher cutting speeds in the case of the coated cutting tool. The proposed finite element model is able to predict the instability and formation of secondary serrated teeth with good accuracy.

This record has no associated files available for download.

More information

Published date: November 2020
Additional Information: Publisher Copyright: © 2020 Elsevier Ltd and Techna Group S.r.l. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
Keywords: AISI 1045 steel, Finite element analysis, Serrated chip, TiAlCrN coating

Identifiers

Local EPrints ID: 456231
URI: http://eprints.soton.ac.uk/id/eprint/456231
ISSN: 0272-8842
PURE UUID: 34dd1729-ddec-4d7f-a745-3cb2793a4730
ORCID for Tomas Polcar: ORCID iD orcid.org/0000-0002-0863-6287

Catalogue record

Date deposited: 26 Apr 2022 19:16
Last modified: 17 Mar 2024 03:26

Export record

Altmetrics

Contributors

Author: Ch Sateesh Kumar
Author: Pavel Zeman
Author: Tomas Polcar ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×