Experimental and Analytical Studies of the Wear of CVD and PVD Cutting Tools in AA7075 Turning at Different Operating Conditions Through ANOVA

Leonidas Ramírez, Cristian Guilcaso, Willan Castillo, Diego Molina

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The cutting tool wear for the turning machining of aluminum alloy 7075 was analyzed by experimental and analytical studies considering two different cutting tool types at different operating conditions through analysis of variance (ANOVA). An orthogonal array was obtained by using a software, and for cutting speed, feed rate, depth of cut, and cutting tool type, with two levels, were generated 16 experiments for these combinations. Material specimens were prepared according ISO 2540:2016 standard, and machining was carried out by using a CNC turning machine; meanwhile, cutting tool wear at the flank was analyze with ISO 3685:1993 standard. A scanning electronic microscope was utilized to obtain wear measures on the cutting tool surface and flank. ANOVA determined the influence for each material on the required response, cutting tool wear, presenting that cutting tool type had an influence of 82.14% and the PVC cutting tool registered the highest wear value with 121.09 µm.

Original languageEnglish
Title of host publicationCommunication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021
EditorsÁlvaro Rocha, Paulo Carlos López-López, Juan Pablo Salgado-Guerrero
PublisherSpringer Science and Business Media Deutschland GmbH
Pages467-477
Number of pages11
ISBN (Print)9789811641251
DOIs
StatePublished - 2022
Externally publishedYes
Event7th International Conference on Science, Technology and Innovation for Society, CITIS 2021 - Virtual, Online
Duration: 26 May 202128 May 2021

Publication series

NameSmart Innovation, Systems and Technologies
Volume252
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference7th International Conference on Science, Technology and Innovation for Society, CITIS 2021
CityVirtual, Online
Period26/05/2128/05/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

  • Aluminum alloy
  • ANOVA
  • Cutting tool
  • Turning
  • Wear

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