How to cite this paper
APA: Kesarwani, S., Verma, R & Dave, H. (2022). An integrated approach of VIKOR and teaching learning based optimization algorithm for milling machinability computations. Management Science Letters, 12(4), 263-282.
Chicago/Turabian: Kesarwani, S., Verma, R & Dave, H. 2022. "An integrated approach of VIKOR and teaching learning based optimization algorithm for milling machinability computations." Management Science Letters 12, no. 4 (2022): 263-282.
AMA: Kesarwani, S., Verma, R & Dave, H. An integrated approach of VIKOR and teaching learning based optimization algorithm for milling machinability computations. Management Science Letters. 2022;12(4):263-282.
References
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Bucholz, E. W., Phillpot, S. R., & Sinnott, S. B. (2012). Molecular dynamics investigation of the lubrication mechanism of carbon nano-onions. Computational Materials Science, 54(1), 91–96. https://doi.org/10.1016/j.commatsci.2011.09.036
Camisasca, A., & Giordani, S. (2017). Carbon nano-onions in biomedical applications: Promising theranostic agents. In Inorganica Chimica Acta (Vol. 468, pp. 67–76). Elsevier S.A. https://doi.org/10.1016/j.ica.2017.06.009
Cha, J., Kim, J., Ryu, S., & Hong, S. H. (2019). Comparison to mechanical properties of epoxy nanocomposites reinforced by functionalized carbon nanotubes and graphene nanoplatelets. Composites Part B: Engineering, 162, 283–288. https://doi.org/10.1016/j.compositesb.2018.11.011
Chandrasekhar, S., & Prasad, N. (2020). Multi-response optimization of electrochemical machining parameters in the micro-drilling of AA6061-TiB2in situ composites using the Entropy–VIKOR method: Https://Doi.Org/10.1177/0954405420911539, 234(10), 1311–1322. https://doi.org/10.1177/0954405420911539
Chate, G. R., Patel, G. C. M., Bhushan, S. N. B., Parappagoudar, M. B., & Deshpande, A. S. (2019). Comprehensive modelling, analysis and optimization of furan resin-based moulding sand system with sawdust as an additive. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 41(4), 0–24. https://doi.org/10.1007/s40430-019-1684-0
Chau, N. Le, Nguyen, M.-Q., Dao, T.-P., Huang, S.-C., Hsiao, T.-C., Dinh-Cong, D., & Dang, V. A. (2018). An effective approach of adaptive neuro-fuzzy inference system-integrated teaching learning-based optimization for use in machining optimization of S45C CNC turning. Optimization and Engineering 2018 20:3, 20(3), 811–832. https://doi.org/10.1007/S11081-018-09418-X
Chen, J., Tuo, W., Wei, P., Okabe, Y., Xu, M., & Xu, M. (2017). Characteristics of the shear mechanical properties and the influence mechanism of short basalt fiber reinforced polymer composite materials: Https://Doi.Org/10.1177/1099636217716466, 21(4), 1520–1534. https://doi.org/10.1177/1099636217716466
Cheng, D. J., Xu, F., Xu, S. H., Zhang, C. Y., Zhang, S. W., & Kim, S. J. (2020). Minimization of Surface Roughness and Machining Deformation in Milling of Al Alloy Thin-Walled Parts. International Journal of Precision Engineering and Manufacturing, 21(9), 1597–1613. https://doi.org/10.1007/s12541-020-00366-0
Davim, J. P., & Reis, P. (2005). Damage and dimensional precision on milling carbon fiber-reinforced plastics using design experiments. Journal of Materials Processing Technology, 160(2), 160–167. https://doi.org/10.1016/j.jmatprotec.2004.06.003
Desai, C. K., & Shaikh, A. (2012). Prediction of depth of cut for single-pass laser micro-milling process using semi-analytical, ANN and GP approaches. International Journal of Advanced Manufacturing Technology, 60(9–12), 865–882. https://doi.org/10.1007/s00170-011-3677-8
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