Next Article in Journal
A Novel Computational Method of Processing Map for Ti-6Al-4V Alloy and Corresponding Microstructure Study
Next Article in Special Issue
Comparison of Flank Super Abrasive Machining vs. Flank Milling on Inconel® 718 Surfaces
Previous Article in Journal
Force Prediction for Incremental Forming of Polymer Sheets
Previous Article in Special Issue
Investigation of Cutting Temperature during Turning Inconel 718 with (Ti,Al)N PVD Coated Cemented Carbide Tools
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessArticle
Materials 2018, 11(9), 1598;

Experimental Parametric Model for Adhesion Wear Measurements in the Dry Turning of an AA2024 Alloy

Department of Mechanical Engineering & Industrial Design, Faculty of Engineering, University of Cadiz, Av. Universidad de Cadiz 10, E-11519 Puerto Real-Cadiz, Spain
Author to whom correspondence should be addressed.
Received: 2 August 2018 / Revised: 29 August 2018 / Accepted: 30 August 2018 / Published: 3 September 2018
(This article belongs to the Special Issue Machining—Recent Advances, Applications and Challenges)
Full-Text   |   PDF [9827 KB, uploaded 3 September 2018]   |  


Adhesion wear is the main wear mechanism in the dry turning of aluminium alloys. This type of wear produces an adhesion of the machining material on the cutting tool, decreasing the final surface quality of the machining parts and making it more difficult to maintain industrial tolerances. This work studies the influence of the cutting parameters on the volume of material adhered to the cutting tool surface for dry machining of AA2024 (Al-Cu). For that purpose, a specific methodology based on the automatic image processing method that can obtain the area and the thickness of the adhered material has been designed. This methodology has been verified with the results obtained through 3D analysis techniques and compared with the adhered volume. The results provided experimental parametric models for this wear mechanism. These models are analytic approximations of experimental data. The feed rate mainly results in low cutting speed, while low depths of cut presents a different behaviour due to the low contact pressure. The unstable behaviour of aluminium adhesion on the cutting tool produces a high variability of results. This continuous change introduces variation in the process caused by the continuous change of the cutting tool geometry. View Full-Text
Keywords: cutting tool wear; secondary adhesion wear; turning; machining; aluminium cutting tool wear; secondary adhesion wear; turning; machining; aluminium

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Batista Ponce, M.; Del Sol Illana, I.; Fernandez-Vidal, S.R.; Salguero Gomez, J. Experimental Parametric Model for Adhesion Wear Measurements in the Dry Turning of an AA2024 Alloy. Materials 2018, 11, 1598.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Materials EISSN 1996-1944 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top