Surface Characterization of Metallic Materials in the Case of the Turning Process of NiTi Alloy

Author:

Zawada-Tomkiewicz Anna1ORCID,Tomkiewicz Dariusz1

Affiliation:

1. Faculty of Mechanical Engineering, Koszalin University of Technology, 2 Śniadeckich Str., 75-453 Koszalin, Poland

Abstract

A study was made of the machinability of NiTi alloy in turning, under conditions resulting in a small cutting layer. The experiment involved cutting with variable feeds ranging from 0.01 to 0.1 mm/rev. The cutting conditions were carefully chosen, considering the rounding radius of the cutting edge. The machined surface was examined and measured in 3D using a confocal microscope and in 2D with a contact profilometer. These measurements were used to estimate hmin, leading to the development of a surface formation model that considers both the lateral material flow due to hmin and the lateral material flow due to altered thermodynamic conditions from the previous blade pass. A method for evaluating the surface and selecting its characteristics was proposed based on analyses derived directly from surface features: PCA (Principal Component Analysis) and EMD (Empirical Mode Decomposition) with the Hilbert transform (Hilbert–Huang transform). PCA analysis facilitated the examination of individual surface component variances, while analysis of the IMF components enabled the assessment of surface component energy combined with instantaneous frequencies.

Publisher

MDPI AG

Reference35 articles.

1. Comparative Analysis of Machinability of Nitinol Alloy Using Weighted Radar Diagram;Kowalczyk;Manag. Prod. Eng. Rev.,2017

2. Study on the characteristics of phase in turning NiTi shape memory alloy;Zhao;J. Manuf. Process.,2023

3. Effect of annealing on the transformation behavior and superelasticity of NiTi shape memory alloy;Huang;Scr. Mater.,2001

4. An overview of vibration and seismic applications of NiTi shape memory alloy;Saadat;Smart Mater. Struct.,2002

5. Challenges in using Waterjet Machining of Nickel Titanium Alloy Shape Memory Alloys: An Analysis of Controlled-Depth Milling;Kong;J. Mater. Process. Technol.,2011

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