Investigation into energy interaction behavior of nitinol SMA during WECM
DOI:
https://doi.org/10.58368/MTT.22.5.2023.1-6Keywords:
WECM, Wire Electrochemical Machining, Micromachining, Shape Memory Alloy, NitinolAbstract
Wire Electrochemical Machining (WECM) combines the advantages of electrochemical machining working principle with the kinematic of wire EDM which is properly applied for fabrication of micro-features. WECM utilizes the advantages of these processes to enhance machining quality. Exceptional features of shape memory alloys (SMA) make them encouraging for widely advanced industrial applications. These difficult-to-cut materials micromachining without affecting original properties plays crucial role. Through this paper, an attempt has been made for the improvement of WECM during micromachining of nitinol SMA and explains the fundamentals of WECM process. This paper discusses various elements of developed WECM system. The paper also includes some experimental results of micro-slit machining by utilizing developed WECM setup and energy interaction behavior during fabrication of microslits of nitinol SMA. The homogeneous microslit with average slit width 111 µm with 1.68 µm standard deviation has been fabricated at 5V pulse voltage and 1.4 µm/s wire feed rate.
Metrics
References
Besekar, N., & Bhattacharyya, B. (2021). Vibration-assisted axial nozzle jet flow wire electro-chemical machining for micromachining. Journal of Micro-and Nano-Manufacturing, Transactions of ASME, 9, 044501-7.
Bisaria, H., & Shandilya, P. (2018). Experimental studies on electrical discharge wire cutting of Ni-rich NiTi shape memory alloy. Materials Manufacturing Processes, 33(9), 977-85.
Debnath, S., Kundu, J., & Bhattacharyya, B. (2017). Influence of high duty ratio and frequency in WECM employing in situ fabricated wire electrode. ASME.Journal of Micro and Nano- Manufacturing, 5(4), 041005. https://doi. org/10.1115/1.4037768
Sharma, N., Kumar, K., & Kumar, V. (2018). Post-processing of NiTi alloys: issues and challenges. Powder Metallurgy Metal Ceramics, 56(9), 599-609.
Sharma, V., Patel, D. S., Jain, V. K., &Ramkumar, J. (2020). Wire electrochemical micromachining: An overview. International Journal of Machine Tools and Manufacture, 155, 103579.
Vakharia, V., Vora, J., Khanna, S., Chaudhari, R., & et al. (2022). Experimental investigations and prediction of WEDMed surface of Nitinol SMA using SinGAN and DenseNet deep learning model. Journal of Materials Research Technology, 18, 325-337.
Wang, G., Liu, Z., Niu, J., Huang, W., & Wang, B. (2020).Effect of electrochemical polishing on surface quality of nickel-titanium shape memory alloy after milling.Journal of Materials Research Technology, 9(1), 253-62.
Woo, J. S., Seung, G. C., &Eun, S. L. (2019). Prediction and comparison of electrochemical machining on shape memory alloy (SMA) using deep neural network (DNN).Journal of Electrochemical Science and Technology, 10(3), 276-283.
Downloads
Published
How to Cite
Issue
Section
License
All the articles published in Manufacturing Technology Today (MTT) Journal are held by the Publisher. Central Manufacturing Technology Institute (CMTI) as a publisher requires its authors to transfer the copyright prior to publication. This will permit CMTI to reproduce, publish, distribute, and archive the article in print and electronic form and also to defend against any improper use of the article.