Abstract

Nickel–titanium shape memory alloys (SMAs) have started becoming popular owing to their unique ability to memorize or regain their original shape from the plastically deformed condition by means of heating or magnetic or mechanical loading. Nickel–titanium alloys, commonly known as nitinol, have been widely used in actuators, microelectromechanical system (MEMS) devices, and many other applications, including in the biomedical, aerospace, and automotive fields. However, nitinol is a difficult-to-cut material because of its versatile specific properties such as the shape memory effect, superelasticity, high specific strength, high wear and corrosion resistance, and severe strain hardening. There are several challenges faced when machining nitinol SMA with conventional machining techniques. Noncontact operation of the wire electrical discharge machining (WEDM) process between the tool (wire) and workpiece significantly eliminates the problems of conventional machining processes. The WEDM process consists of multiple input parameters that should be controlled to obtain great surface quality. In this study, the effect of WEDM process parameters on the surface morphology of nitinol SMA was studied using 3D surface analysis, scanning electron microscopy (SEM), and energy-dispersive X-ray (EDX) analysis. 3D surface analysis results indicated a higher value of surface roughness (SR) on the top of the work surface and a lower SR on the bottom portion of the work surface. The surface morphology of the machined sample obtained at optimized parameters showed a reduction in microcracks, micropores, and globules in comparison with the machined surface obtained at a high discharge energy level. EDX analysis indicated a machined surface free of molybdenum (tool electrode).

Highlights

  • In the present scenario of manufacturing competitiveness, the adoption of new technologies is essential to overcome the challenges of achieving component accuracy, high quality, acceptable surface finish, increased production rate, enhanced product life, and reduced environmental impact.Beyond these conventional challenges, the machining of newly developed smart materials requiresMaterials 2020, 13, 4943; doi:10.3390/ma13214943 www.mdpi.com/journal/materialsMaterials 2020, 13, 4943 inputs of intelligent machining strategies

  • Differential scanning calorimetry (DSC) (Netzsch, Selb, Germany) testing revealed that the wire electrical discharge machining (WEDM) sample machined using the optimized set of parameters had retention of shape memory effect when compared to that of the starting base material [21]

  • The top surface of the machined sample shows the highest value of surface roughness (SR), which is indicated by green color; the bottom surface of the machined sample shows the lowest value of SR, as indicated by blue color

Read more

Summary

Introduction

In the present scenario of manufacturing competitiveness, the adoption of new technologies is essential to overcome the challenges of achieving component accuracy, high quality, acceptable surface finish, increased production rate, enhanced product life, and reduced environmental impact.Beyond these conventional challenges, the machining of newly developed smart materials requiresMaterials 2020, 13, 4943; doi:10.3390/ma13214943 www.mdpi.com/journal/materialsMaterials 2020, 13, 4943 inputs of intelligent machining strategies. In the present scenario of manufacturing competitiveness, the adoption of new technologies is essential to overcome the challenges of achieving component accuracy, high quality, acceptable surface finish, increased production rate, enhanced product life, and reduced environmental impact Beyond these conventional challenges, the machining of newly developed smart materials requires. It is necessary to control the input parameters and secure their optimum values One such newly developed generation of alloys is the shape memory alloys (SMAs). The areas of application spread to aerospace, oil industries, automobiles, and robotics These smart materials possess the main characteristics of superelasticity (SE) and shape memory effect (SME) [1]. The nickel–titanium SMA is highly biocompatible, which makes it useful in orthopedic implants, surgical instruments, cardiovascular devices, and orthodontic devices [6,7]

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call