Investigation of biocompatible implant material through WEDM process using RSM modeling hybrid with the machine learning algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s12046-021-01676-3.pdf
Reference31 articles.
1. Kakuta S, Miyaoka K, Fujimori S, Lee W S, Miyazaki T and Nagumo M 2000 Proliferation and differentiation of bone marrow cells on titanium plates treated with a wire type electrical discharge machine. J. Ora. Implant. 26(3): 156–162
2. Anish K, Vinod K and Jatinder K 2013 Investigation of machining parameters and surface integrity in wire electric discharge machining of pure titanium. Proc. Int. Mech. Eng. Part B J. Eng. Manuf. 227(7): 972–992
3. Prakash C, Kansal H K, Pabla B, Puri S and Aggarwal A 2016 Electric discharge machining-a potential choice for surface modification of metallic implants for orthopedic applications: a review. Proc. Inst. Mech. Eng. B J. Eng. Manuf. 230(2): 331–353
4. Garg M P, Jain A and Bhushan G 2013 Modeling and multi-objective optimization of process parameters of wire electrical discharge machining using non-dominated sorting genetic algorithm-II. Proc. Inst. Mech. Eng. B J. Eng. Manuf. 226: 1986–2001
5. Kuriakose S and Shunmugam M S 2005 Multi -objective optimization of wire electro- discharge machining process by non-dominated sorting genetic algorithm. J. Mater. Proc. Technol. 170(1–2): 133–141
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