How to cite this paper
Nguyen, P., Banh, L., Bui, V & Hoang, D. (2018). Multi-response optimization of process parameters for powder mixed electro-discharge machining according to the surface roughness and surface micro-hardness using Taguchi-TOPSIS.International Journal of Data and Network Science, 2(4), 109-119.
Refrences
Ahmed, S., & Arora, R. (2017). Optimization of turning parameters of Aluminum 6351 T6 using Taguchi decision making technique. International Journal of Data and Network Science, 1(2), 27-38.
Bhaumik, M., & Maity, K. (2017). Effect of machining parameter on the surface roughness of AISI 304 in silicon carbide powder mixed EDM. Decision Science Letters, 6(3), 261-268.
Dastagiri, M., Rao, P. S., & Valli, P. M. (2016). TOPSIS, GRA Methods for Parametric Optimization on Wire Electrical Discharge Machining (WEDM) Process. Design and Research Conference (AIMTDR–2016) College of Engineering- India.
Dey, S., & Chakraborty, S. (2015). Forward and reverse mapping for WEDM process using artificial neural networks. Decision Science Letters, 4(3), 277-288.
Gadakh, V. S. (2012). Parametric optimization of wire electrical discharge machining using Topsis method. Advances in Production Engineering & Management, 7(3), 157-164.
Khanna, R., Kumar, A., Garg, M. P., Singh, A., & Sharma, N. (2015). Multiple performance characteristics optimization for Al 7075 on electric discharge drilling by Taguchi grey relational theory. Journal of Industrial Engineering International, 11(4), 459-472.
Kumar, P., Meenu, M., & Kumar, V. (2018). Optimization of process parameters for WEDM of Inconel 825 using grey relational analysis. Decision Science Letters, 7(4), 405-416.
Manivannan, R., & Kumar, M. P. (2016). Multi-response optimization of Micro-EDM process parameters on AISI304 steel using TOPSIS. Journal of Mechanical Science and Technology, 30(1), 137-144.
Manivannan, R., & Kumar, M. P. (2017). Multi-attribute decision-making of cryogenically cooled micro-EDM drilling process parameters using TOPSIS method. Journal Materials and Manufacturing Processes, 32(2), 209-215.
Mohapatraa, K., Satpathya, M., & Sahooa, S. (2017). Comparison of optimization techniques for MRR and surface roughness in wire EDM process for gear cutting. International Journal of Industrial En-gineering Computations, 8(2), 251-262.
Mohapatra, K., & Sahoo, S. (2018). A multi objective optimization of gear cutting in WEDM of In-conel 718 using TOPSIS method. Decision Science Letters, 7(2), 157-170.
Munmun, B., & Kalipada, M. (2017). Multi objective optimization of PMEDM using response surface methodology coupled with fuzzy based desirability function approach. Decision Science Letters, 6, 387–394.
Nayak, I., Rana, J., & Parida, A. (2017). Performance optimization in electro-discharge machining using a suitable multiresponse optimization technique. Decision Science Letters, 6(3), 283-294.
Prabhu, S., & Vinayagam, B. K. (2016). Multiresponse optimization of EDM process with nanofluids using TOPSIS method and Genetic Algorithm. Archive of Mechanical Engineering, 63(1), 45–71.
Shukla, A., Agarwal, P., Rana, R. S. & Purohit, R. (2017). Applications of TOPSIS Algorithm on various Manufacturing Processes: A Review. Original Research Article Materials Today: Proceedings, 4(4), 5320-5329.
Tirumala, D., Gajjela, R., & Das, R. (2018). ANN and RSM approach for modelling and multi objective optimization of abrasive water jet machining process. Decision Science Letters, 7(4), 535-548.
Tripathy, S., & Tripathy, D. K. (2017). Multi-response optimization of machining process parameters for powder mixed electro-discharge machining of H-11 die steel using grey relational analysis and Topsis. Journal Machining Science and Technology An International Journal, 21(3), 362-384.
Zerti, O., Yallese, M., Zerti, A., Belhadi, S., & Girardin, F. (2018). Simultaneous improvement of sur-face quality and productivity using grey relational analysis based Taguchi design for turning couple (AISI D3 steel/mixed ceramic tool (Al2O3+ TiC)). International Journal of Industrial Engineering Computations, 9(2), 173-194.
Bhaumik, M., & Maity, K. (2017). Effect of machining parameter on the surface roughness of AISI 304 in silicon carbide powder mixed EDM. Decision Science Letters, 6(3), 261-268.
Dastagiri, M., Rao, P. S., & Valli, P. M. (2016). TOPSIS, GRA Methods for Parametric Optimization on Wire Electrical Discharge Machining (WEDM) Process. Design and Research Conference (AIMTDR–2016) College of Engineering- India.
Dey, S., & Chakraborty, S. (2015). Forward and reverse mapping for WEDM process using artificial neural networks. Decision Science Letters, 4(3), 277-288.
Gadakh, V. S. (2012). Parametric optimization of wire electrical discharge machining using Topsis method. Advances in Production Engineering & Management, 7(3), 157-164.
Khanna, R., Kumar, A., Garg, M. P., Singh, A., & Sharma, N. (2015). Multiple performance characteristics optimization for Al 7075 on electric discharge drilling by Taguchi grey relational theory. Journal of Industrial Engineering International, 11(4), 459-472.
Kumar, P., Meenu, M., & Kumar, V. (2018). Optimization of process parameters for WEDM of Inconel 825 using grey relational analysis. Decision Science Letters, 7(4), 405-416.
Manivannan, R., & Kumar, M. P. (2016). Multi-response optimization of Micro-EDM process parameters on AISI304 steel using TOPSIS. Journal of Mechanical Science and Technology, 30(1), 137-144.
Manivannan, R., & Kumar, M. P. (2017). Multi-attribute decision-making of cryogenically cooled micro-EDM drilling process parameters using TOPSIS method. Journal Materials and Manufacturing Processes, 32(2), 209-215.
Mohapatraa, K., Satpathya, M., & Sahooa, S. (2017). Comparison of optimization techniques for MRR and surface roughness in wire EDM process for gear cutting. International Journal of Industrial En-gineering Computations, 8(2), 251-262.
Mohapatra, K., & Sahoo, S. (2018). A multi objective optimization of gear cutting in WEDM of In-conel 718 using TOPSIS method. Decision Science Letters, 7(2), 157-170.
Munmun, B., & Kalipada, M. (2017). Multi objective optimization of PMEDM using response surface methodology coupled with fuzzy based desirability function approach. Decision Science Letters, 6, 387–394.
Nayak, I., Rana, J., & Parida, A. (2017). Performance optimization in electro-discharge machining using a suitable multiresponse optimization technique. Decision Science Letters, 6(3), 283-294.
Prabhu, S., & Vinayagam, B. K. (2016). Multiresponse optimization of EDM process with nanofluids using TOPSIS method and Genetic Algorithm. Archive of Mechanical Engineering, 63(1), 45–71.
Shukla, A., Agarwal, P., Rana, R. S. & Purohit, R. (2017). Applications of TOPSIS Algorithm on various Manufacturing Processes: A Review. Original Research Article Materials Today: Proceedings, 4(4), 5320-5329.
Tirumala, D., Gajjela, R., & Das, R. (2018). ANN and RSM approach for modelling and multi objective optimization of abrasive water jet machining process. Decision Science Letters, 7(4), 535-548.
Tripathy, S., & Tripathy, D. K. (2017). Multi-response optimization of machining process parameters for powder mixed electro-discharge machining of H-11 die steel using grey relational analysis and Topsis. Journal Machining Science and Technology An International Journal, 21(3), 362-384.
Zerti, O., Yallese, M., Zerti, A., Belhadi, S., & Girardin, F. (2018). Simultaneous improvement of sur-face quality and productivity using grey relational analysis based Taguchi design for turning couple (AISI D3 steel/mixed ceramic tool (Al2O3+ TiC)). International Journal of Industrial Engineering Computations, 9(2), 173-194.