Machinability studies on metal additive manufactured 316L stainless steel using electrochemical machine

Original scientific paper

Authors

  • Rajan Natarajan Vinayaka Mission’s Kirupananda Variyar Engineering College, Vinayaka Mission’s Research Foundation, Deemed to be University, Salem-636308, India https://orcid.org/0000-0002-4451-3524
  • Shanmugapriyan Kanagaraj Vinayaka Mission’s Kirupananda Variyar Engineering College, Vinayaka Mission’s Research Foundation, Deemed to be University, Salem-636308, India https://orcid.org/0009-0003-5489-4572
  • Thangavel Palaniappan Erode Sengunthar Engineering College, Perundurai 638057, India https://orcid.org/0000-0003-3844-8196
  • Deepa Dhanaskodi Bannari Amman Institute of Technology, Sathyamangalam, 638401, India https://orcid.org/0000-0002-6732-0055

DOI:

https://doi.org/10.5599/jese.2567

Keywords:

Additively built austenitic steel, micromachined holes, electrochemical process parameters, multi-objective optimization (MOORA), entropy weighting; variance analysis

Abstract

Metal additive manufactured 316L stainless steel is considered for machinability studies through electrochemical machining (ECM). This material is used in prototyping in the automotive, aerospace, jewellery and biomedical industries, where customized components for individual circumstances are required. In this study, ECM process parameters such as voltage, electrolyte concentration, duty cycle, and selection of an L16 orthogonal array sing four levels were considered for optimization. The multi-criteria decision machining method, namely entropy-based multi-objective optimization, is used for performance analysis based on the ratio analysis method. The study reveals that 14 V, 35 g l-1 NaNO3 electrolyte concen¬tration, and 90 % duty cycle are recommended for optimal machining performance. Accord¬ing to the main effect table, the best combination is 16 V, 35 g l-1 electrolyte concentration, and 60 % duty cycle. Analysis of variance result shows that the duty cycle accounts for approximately 27.06 1% of machining performance, voltage contributes by 24.015 % and electrolyte content contributes roughly 15.58 % to the machining performance. A scanning electron microscope was used to scan each micromachined hole, and different resolution images were taken in order to analyse the machined hole quality.

Downloads

Download data is not yet available.

References

P. Venugopal, R. Thanigaivelan, Performance of magnetized tool in electrochemical micromachining on scrapped alloy wheel matrix composite, Journal of Electrochemical Science and Engineering 13(3) (2023) 553-561. http://dx.doi.org/10.5599/jese.1660

V. K. Sampath, P. Silori, P. Paradkar, S. Niauzorau, A. Sharstniou, A. Hasib, S. Villalobos, B. Azeredo, 3D printing of stainless steel 316L and its weldability for corrosive environments, Materials Science and Engineering: A 833 (2022) 142439. https://doi.org/10.1016/j.msea.2021.142439

P. Mašek, T. Fornůsek, P. Zeman, M. Bucko, J. Smolik, P. Heinrich, Machinability the AISI 316 stainless steel after processing by various methods of 3D printing, MM Science Journal November 2019 (2019) 3338-3346. http://dx.doi.org/10.17973/MMSJ.2019_11_2019091

H. Zhang, J. Dang, W. Ming, X. Xu, M. Chen, Q. An, Cutting responses of additive manufactured Ti6Al4V with solid ceramic tool under dry high-speed milling processes. Ceramics International 46 (2020) 14536-14547. https://doi.org/10.1016/j.ceramint.2020.02.253

L. Chen, Q. Xu, Y. Liu, G. Cai, J. Liu, Machinability of the laser additively manufactured Inconel 718 superalloy in turning, International Journal of Advanced Manufacturing Technology 114 (2021) 871-882. https://doi.org/10.1007/s00170-021-06940-8

Y. Karabulut, Y. Kaynak, Drilling process and resulting surface properties of Inconel 718 alloy fabricated by selective laser melting additive manufacturing, Procedia CIRP 87 (2020) 355-359. https://doi.org/10.1016/j.procir.2020.02.110

J. Fei, G. Liu, K. Patel, T. Özel, Effects of machining parameters on finishing additively manufactured nickel-based alloy Inconel 625, Journal of Manufacturing and Materials Processing 4(2) (2020) 32. https://doi.org/10.3390/jmmp4020032

Y. Bai, A. Chaudhari, H. Wang, Investigation on the microstructure and machinability of ASTM A131 steel manufactured by directed energy deposition, Journal of Materials Processing Technology 276 (2020) 116410. https://doi.org/10.1016/j.jmatprotec.2019.116410

B. Li, R. Zhang, A. Malik, W. Li, Machinability of partition milling stainless steel/Inconel functionally gradient material printed with directed energy deposition. The International Journal of Advanced Manufacturing Technology 122(7) (2022) 3009-3022. https://doi.org/10.1007/s00170-022-10111-8

M. K. Ramachandran, S. A. Sumaiya, M. Golvaskar, J. Wood, I. Sluder, C. S. Rakurty, M. Kannan, Improving the Fatigue Life of an Additively Manufactured Stainless-Steel Specimen Using a Secondary Grinding Process, Turbo Expo: Power for Land, Sea, and Air 88018 (2024) V009T17A011. https://doi.org/10.1115/GT2024-124342

V. S. Gadakh, V. B. Shinde, N. S. Khemnar, Optimization of welding process parameters using MOORA method, The International Journal of Advanced Manufacturing Technology 69 (2013) 2031-2039. https://doi.org/10.1007/s00170-013-5188-2

A. S. Bhaskar, A. Khan, Comparative analysis of hybrid MCDM methods in material selection for dental applications, Expert Systems with Applications 209 (2022) 118268. https://doi.org/10.1016/j.eswa.2022.118268

M. Soundarrajan, R. Thanigaivelan, Investigation of electrochemical micromachining process using ultrasonic heated electrolyte, in Advances in Micro and Nano Manufacturing and Surface Engineering: Proceedings of AIMTDR 2018, M. S. Shunmugam, M. Kanthababu, Eds., Springer Nature Singapore Pte LTD, 2019, 423-434. https://doi.org/10.1007/978-981-32-9425-7

C. Vempannan, T. C. Kanish, D. Thirumanikandan, B. Aswin, Electrochemical Micromachining Performance Optimization: Impact of Cathode Profile and Rotation on Machining Speed and Accuracy, in Advanced Manufacturing Techniques for Engineering and Engineered Materials, R. Thanigaivelan, N. Rajan, T.G. Argul, Eds., GI Global Scientific Publishing, 2022, 20-41. https://doi.org/10.4018/978-1-7998-9574-9.ch002

R. Thiraviam, V. Ravisankar, P. Kumar, R. Thanigaivelan, R. Arunachalam, A novel approach for the production and characterisation of aluminium–alumina hybrid metal matrix composites, Materials Research Express 7(4) (2020) 046512. https://doi.org/10.1088/2053-1591/ab8657

S. Maniraj, R. Thanigaivelan, R. Viswanathan, P. Elumalai, Experimental investigation of MRR and ROC in aluminium metal matrix composites, Materials Today: Proceedings 45 (2021) 1102-1106. https://doi.org/10.1016/j.matpr.2020.03.190

S. Marichamy, S. Maniraj, R. Thanigaivelan, S. T. Kumaravel, K. V. Babu, P. Mallesham, Enhancement of material removal rate in EDM process using silicon carbide based strenx 900 steel, Materials Today: Proceedings 45 (2021) 780-782. https://doi.org/10.1016/j.matpr.2020.02.806

N. Sivashankar, R. Thanigaivelan, Electrochemical micromachining of magnesium AZ31 alloy using minimum quantity electrolyte, Materials and Manufacturing Processes 38(11) (2023) 1406-1415. https://doi.org/10.1080/10426914.2022.2157429

W. K. M. Brauers, E. K. Zavadskas, The MOORA method and its application to privatization in a transition economy, Control and Cybernetics 35 (2006) 445-469. http://eudml.org/doc/209425

W. K. M. Brauers, E. K. Zavadskas, Z. Turskis, T. Vilutienè, Multi-objective contractor's ranking by applying the MOORA method, Journal of Business Economics and Management 4 (2008) 245-255. https://doi.org/10.3846/1611-1699.2008.9.245-255

D. Kalibatas, Z. Turskis, Multicriteria evaluation of inner climate by using MOORA method, Information Technology and Control 37 (2008) 79-83.

S. Chakraborty, Applications of the MOORA method for decision making in manufacturing environment, International Journal of Advanced Manufacturing Technology 54(9-12) (2011) 1155-1166. https://doi.org/10.1007/s00170-010-2972-0

V.S. Gadakh, Application of MOORA method for parametric optimization of milling process, International Journal of Applied Engineering Dindigul 1(4) (2011) 743-758.

R. Thanigaivelan, R. M. Arunachalam, A. Nithish, S. Venkatesh, P. Naveenkumar, S. Selvaganapathy, A. S. Aravind, Optimization of Laser and Electrochemical Process Parameters for Surface Modification of Hardness and Hydrophobicity on 316L Steel, Lasers in Engineering (Old City Publishing) 45 (2020) 69-84. https://www.oldcitypublishing.com/journals/lie-home/lie-issue-contents/lie-volume-45-number-1-3-2020/lie-45-1-3-p-69-84/

M. Shamsujjoha, S.R. Agnew, J.M. Fitz-Gerald, W.R. Moore, T.A. Newman, High strength and ductility of additively manufactured 316L stainless steel explained, Metallurgical and Materials Transactions A 49 (2018) 3011-3027. https://doi.org/10.1007/s11661-018-4607-2

Downloads

Published

30-01-2025 — Updated on 30-01-2025

Issue

Section

Electrochemical Engineering

How to Cite

Machinability studies on metal additive manufactured 316L stainless steel using electrochemical machine: Original scientific paper. (2025). Journal of Electrochemical Science and Engineering, 15(2), 2567. https://doi.org/10.5599/jese.2567

Similar Articles

51-60 of 492

You may also start an advanced similarity search for this article.