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Advances in Manufacturing ›› 2021, Vol. 9 ›› Issue (1): 64-80.doi: 10.1007/s40436-019-00267-0

• ARTICLES • 上一篇    

Pareto optimization of WEDM process parameters for machining a NiTi shape memory alloy using a combined approach of RSM and heat transfer search algorithm

Rakesh Chaudhari1, Jay J. Vora1, S. S. Mani Prabu2, I. A. Palani2,3, Vivek K. Patel1, D. M. Parikh4   

  1. 1 Department of Mechanical Engineering, School of Technology, Pandit Deendayal Petroleum University, Raisan, Gandhinagar 382007, India;
    2 Metallurgy Engineering and Materials Science, Indian Institute of Technology Indore, Indore 453552, India;
    3 Discipline of Mechanical Engineering, Indian Institute of Technology Indore, Indore 453552, India;
    4 Department of Industrial Engineering, School of Technology, Pandit Deendayal Petroleum University, Raisan, Gandhinagar 382007, India
  • 收稿日期:2019-02-06 修回日期:2019-04-28 发布日期:2021-02-27
  • 通讯作者: Jay J. Vora E-mail:vorajaykumar@gmail.com
  • 基金资助:
    The authors would like to thank the Faculties and especially HOD of the Metallurgy Department of GEC, Gandhinagar for their assistance in the micro-hardness testing. Mr. Bhavesh Patel, research scholar, IIT Indore is also acknowledged for proving support for sample preparation during DSC testing. The authors would also like to thank Ms Mitu Toyo for proving the facilities for the surface roughness measurements. Lastly, the editors and reviewers of this research paper are greatly acknowledged for enhancing the quality of the manuscript.

Pareto optimization of WEDM process parameters for machining a NiTi shape memory alloy using a combined approach of RSM and heat transfer search algorithm

Rakesh Chaudhari1, Jay J. Vora1, S. S. Mani Prabu2, I. A. Palani2,3, Vivek K. Patel1, D. M. Parikh4   

  1. 1 Department of Mechanical Engineering, School of Technology, Pandit Deendayal Petroleum University, Raisan, Gandhinagar 382007, India;
    2 Metallurgy Engineering and Materials Science, Indian Institute of Technology Indore, Indore 453552, India;
    3 Discipline of Mechanical Engineering, Indian Institute of Technology Indore, Indore 453552, India;
    4 Department of Industrial Engineering, School of Technology, Pandit Deendayal Petroleum University, Raisan, Gandhinagar 382007, India
  • Received:2019-02-06 Revised:2019-04-28 Published:2021-02-27
  • Contact: Jay J. Vora E-mail:vorajaykumar@gmail.com
  • Supported by:
    The authors would like to thank the Faculties and especially HOD of the Metallurgy Department of GEC, Gandhinagar for their assistance in the micro-hardness testing. Mr. Bhavesh Patel, research scholar, IIT Indore is also acknowledged for proving support for sample preparation during DSC testing. The authors would also like to thank Ms Mitu Toyo for proving the facilities for the surface roughness measurements. Lastly, the editors and reviewers of this research paper are greatly acknowledged for enhancing the quality of the manuscript.

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摘要： Machining of shape memory alloys (SMAs) without losing the shape memory effect could immensely extend their applications. Herein, the wire electric discharge machining process was used to machine NiTi-a shape memory alloy. The experimental methodology was designed using a Box-Behnken design approach of the response surface methodology. The effects of input variables including pulse on time, pulse off time, and current were investigated on the material removal rate, surface roughness, and microhardness. ANOVA tests were performed to check the robustness of the generated empirical models. Optimization of the process parameters was performed using a newly formulated, highly efficient heat transfer search algorithm. Validation tests were conducted and extended for analyzing the retention of the shape memory effect of the machined surface by differential scanning calorimetry. In addition, 2D and 3D Pareto curves were generated that indicated the trade-offs between the selected output variables during the simultaneous output variables using the multi-objective heat transfer search algorithm. The optimization route yielded encouraging results. Single objective optimization yielded a maximum material removal rate of 1.49 mm3/s, maximum microhardness 462.52 HVN, and minimum surface roughness 0.11 lm. The Pareto curves showed conflicting effects during the wire electric discharge machining of the shape memory alloy and presented a set of optimal non-dominant solutions. The shape memory alloy machined using the optimized process parameters even indicated a shape memory effect similar to that of the starting base material.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-019-00267-0

关键词: Shape memory alloy (SMA), Nitinol, Wire electrical discharge machining (WEDM), Heat transfer search algorithm, Differential scanning calorimetry (DSC) test, Shape memory effect

Abstract: Machining of shape memory alloys (SMAs) without losing the shape memory effect could immensely extend their applications. Herein, the wire electric discharge machining process was used to machine NiTi-a shape memory alloy. The experimental methodology was designed using a Box-Behnken design approach of the response surface methodology. The effects of input variables including pulse on time, pulse off time, and current were investigated on the material removal rate, surface roughness, and microhardness. ANOVA tests were performed to check the robustness of the generated empirical models. Optimization of the process parameters was performed using a newly formulated, highly efficient heat transfer search algorithm. Validation tests were conducted and extended for analyzing the retention of the shape memory effect of the machined surface by differential scanning calorimetry. In addition, 2D and 3D Pareto curves were generated that indicated the trade-offs between the selected output variables during the simultaneous output variables using the multi-objective heat transfer search algorithm. The optimization route yielded encouraging results. Single objective optimization yielded a maximum material removal rate of 1.49 mm3/s, maximum microhardness 462.52 HVN, and minimum surface roughness 0.11 lm. The Pareto curves showed conflicting effects during the wire electric discharge machining of the shape memory alloy and presented a set of optimal non-dominant solutions. The shape memory alloy machined using the optimized process parameters even indicated a shape memory effect similar to that of the starting base material.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-019-00267-0

Key words: Shape memory alloy (SMA), Nitinol, Wire electrical discharge machining (WEDM), Heat transfer search algorithm, Differential scanning calorimetry (DSC) test, Shape memory effect

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