Application of Hybrid ANN and PSO for Prediction of Surface Roughness Under Biodegradable Nano-lubricant

Author:

Okokpujie Imhade P.ORCID,Tartibu Lagouge K.ORCID

Publisher

Springer Nature Switzerland

Reference29 articles.

1. Okokpujie, I.P., Bolu, C.A., Ohunakin, O.S., Akinlabi, E.T., Adelekan, D.S.: A review of recent application of machining techniques, based on the phenomena of CNC machining operations. Proc. Manuf. 35, 1054–1060 (2019)

2. Shivanna, D.M., Kiran, M.B., Venkatesh, G.S., Kavitha, S.D.: Analyzing the effects of machining parameters on surface roughness of machined surfaces using vision system. Materials Today Proc. 47, 4885–4890 (2021)

3. Lawal, S.A., Choudhury, I.A., Nukman, Y.: A critical assessment of lubrication techniques in machining processes: a case for minimum quantity lubrication using vegetable oil-based lubricant. J. Clean. Prod. 41, 210–221 (2013)

4. Okokpujie, I.P., Ohunakin, O.S., Adelekan, D.S., Bolu, C.A., Gill, J., Atiba, O.E., Aghedo, O.A.: Experimental investigation of nano-lubricants effects on temperature distribution of mild steel machining. Proc. Manuf. 35, 1061–1066 (2019)

5. Gugulothu, S., Pasam, V.K.: Testing and performance evaluation of vegetable-oil–based hybrid nano cutting fluids. J. Test. Eval. 48(5), 3839–3854 (2018)

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