Analysis of Secondary Adhesion Wear Mechanism on Hard Machining of Titanium Aerospace Alloy.

machinability machining titanium alloys tool wear turning

Journal

Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929

Informations de publication

Date de publication:
23 Jun 2019
Historique:
received: 27 05 2019
revised: 19 06 2019
accepted: 21 06 2019
entrez: 26 6 2019
pubmed: 27 6 2019
medline: 27 6 2019
Statut: epublish

Résumé

Titanium alloys are widely used in important manufacturing sectors such as the aerospace industry, internal components of motor or biomechanical components, for the development of functional prostheses. The relationship between mechanical properties and weight and its excellent biocompatibility have positioned this material among the most demanded for specific applications. However, it is necessary to consider the low machinability as a disadvantage in the titanium alloys features. This fact is especially due to the low thermal conductivity, producing significant increases in the temperature of the contact area during the machining process. In this aspect, one of the main objectives of strategic industries is focused on the improvement of the efficiency and the increase of the service life of the elements involved in the machining of this alloy. With the aim to understand the most relevant effects in the machinability of the Ti6Al4V alloy, an analysis is required of different variables of the machining process like tool wear evolution, based on secondary adhesion mechanisms, and the relation between surface roughness of the work-pieces with the cutting parameters. In this research work, a study on the machinability of Ti6Al4V titanium alloy has been performed. For that purpose, in a horizontal turning process, the influence of cutting tool wear effects has been evaluated on the surface finish of the machined element. As a result, parametric behavior models for average roughness (Ra) have been determined as a function of the machining parameters used.

Identifiants

pubmed: 31234610
pii: ma12122015
doi: 10.3390/ma12122015
pmc: PMC6630554
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

Sensors (Basel). 2018 Mar 09;18(3):null
pubmed: 29522443

Auteurs

Moises Batista Ponce (M)

Mechanical & Industrial Design Deptartment, University of Cadiz, Avda. de la Universidad de Cádiz 10, E11519 Puerto Real-Cádiz, Spain. moises.batista@uca.es.

Juan Manuel Vazquez-Martinez (JM)

Mechanical & Industrial Design Deptartment, University of Cadiz, Avda. de la Universidad de Cádiz 10, E11519 Puerto Real-Cádiz, Spain. juanmanuel.vazquez@uca.es.

Joao Paulo Davim (JP)

Department of Mechanical Engineering, University of Aveiro, Campus Santiago, 3810-193 Aveiro, Portugal. pdavim@ua.pt.

Jorge Salguero Gomez (J)

Mechanical & Industrial Design Deptartment, University of Cadiz, Avda. de la Universidad de Cádiz 10, E11519 Puerto Real-Cádiz, Spain. jorge.salguero@uca.es.

Classifications MeSH