Response Parameter Optimization For Micro Edm Under Influence of Cu Nano Powder For Taitanium Matrix Composite (Tmcs)

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2020 by IJETT Journal
Volume-68 Issue-9
Year of Publication : 2020
Authors : Kuwar Mausam
DOI :  10.14445/22315381/IJETT-V68I9P211


MLA Style: Kuwar Mausam  "Response Parameter Optimization For Micro Edm Under Influence of Cu Nano Powder For Taitanium Matrix Composite (Tmcs)" International Journal of Engineering Trends and Technology 68.9(2020):64-70. 

APA Style:Kuwar Mausam. Response Parameter Optimization For Micro Edm Under Influence of Cu Nano Powder For Taitanium Matrix Composite (Tmcs)  International Journal of Engineering Trends and Technology, 68(9),64-70.

This research highlight the effect of Cu nanopowder on the electro-discharge machining (EDM) on hard to cut material Titanium matrix composite (TMCs). In the space of optimization, Taguchi L16 standard orthogonal array is used. Analysis of variance (ANOVA) is to check the significance level of the experiments. Speed, Voltage (GAP) and volume concentration of Cu nanopowder are selected as the input variable and material removal rate (MRR) and tool wear rate (TWR) are the response parameters. The end outcome of the result shown that both response parameters are influenced by Cu nanopowder. Under the high volume concentration, MRR of the machining process is increased, but on the other side TWR also increases due to the presence of Cu nanopowder. The result of ANOVA explains the significance of the experiment.


[1] Sharma, K., Mausam, K., & Kaushalyayan, K. S. (2015). “Effect of Amino Functionalized Carbon Nanotubes on Thermal Mechanical Properties of Multi-Walled Carbon Nanotube/Epoxy Composites”. Advanced Science Letters, 21(9), 2790-2793.
[2] Kuwar, M., & Kamal, S. (2013). “Molecular Dynamics Simulation Study of Novel Properties of Defect Full Single Walled Carbon Nanotubes”. International Journal of Application or Innovation in Engineering & Management (IJAIEM), 2(2), 77-81.
[3] Mausam, K., Sharma, K., Bharadwaj, G. et al. “Multiobjective optimization design of die-sinking electric discharge machine (EDM) machining parameter for CNTreinforced carbon fibre nanocomposite using grey relational analysis”. J Braz. Soc. Mech. Sci. Eng. 41, 348 (2019).
[4] Tiwari, M., Mausam, K., Sharma, K., & Singh, R. P. (2014). “Investigate the optimal combination of process parameters for EDM by using a grey relational analysis”. Procedia Materials Science, 5, 1736-1744.
[5] Mausam, K., Singh, P. K., Sharma, K., & Gupta, R. C. (2016). “Investigation of process parameter of EDM using Genetic Algorithm (GA) approach for carbon fiber based two phase epoxy composites”. Materials today: Proceedings, 3(10), 4102-4108.
[6] Tiwari, M. (2014, January). Kuwar Mausam, Kamal Sharma.“Process Parameter Optimization of a High Speed Electro-Discharge Machining using a Taguchi Fuzzy-Based Approach”. In International Conference on Mechanical Engineering: Emerging Trends for Sustainability (pp. 29-31).
[7] Tripathy, S., & Tripathy, D. K. (2016). “Multi-attribute optimization of machining process parameters in powder mixed electro-discharge machining using TOPSIS and grey relational analysis”. Engineering Science and Technology, an International Journal, 19(1), 62-70.
[8] Mohit Tiwari, Kuwar Mausam, Kamal Sharma, Ravindra Pratap Singh(2013). “Experimental Analysis of Electro- Discharge Machining Parameters for Minimum Tool Wear Rate on Machinability of Carbon Fiber/Epoxy Composites Using Taguchi Method”. International Journal of Engineering Research & Technology (IJERT), ISSN: 2278-0181, 2 (10), 3182-3188.
[9] Kuwar Mausam, Mohit Tiwari, Kamal Sharma, Ravindra Pratap Singh(2013), “Process Parameter Optimization for Maximum Material Removal Rate in High Speed Electro- Discharge Machining”, International Symposium on Engineering and Technology, 9-10 January, 2014 organized by KJEI’s Trinity College of Engineering and Research, Pune. ”, International Journal of Current Engineering & Technology, (ISSN: 2277-4106, 239-244).
[10] Datta, S., Biswal, B. B., & Mahapatra, S. S. (2019). “Machinability Analysis of Inconel 601, 625, 718 and 825 during Electro-Discharge Machining: On Evaluation of Optimal Parameters Setting’. Measurement.
[11] Jatti, V. S. (2018). “Multi-characteristics optimization in EDM of NiTi alloy, NiCu alloy and BeCu alloy using Taguchi’s approach and utility concept”. Alexandria engineering journal, 57(4), 2807-2817.
[12] Mahanta, S., Chandrasekaran, M., & Samanta, S. (2018). “GA based Optimization for the Production of Quality Jobs with Minimum Power Consumption in EDM of Hybrid MMCs”. Materials Today: Proceedings, 5(2), 7788-7796.
[13] Kumar, R., Roy, S., Gunjan, P., Sahoo, A., Sarkar, D. D., & Das, R. K. (2018). “Analysis of MRR and Surface Roughness in Machining Ti-6Al-4V ELI Titanium Alloy Using EDM Process”. Procedia Manufacturing, 20, 358-364.
[14] Klocke, F., Olivier, M., Degenhardt, U., Herrig, T., Tombul, U., & Klink, A. (2018). “Investigation on Wire-EDM Finishing of Titanium Nitride Doped Silicon Nitride in CHbased Dielectrics’. Procedia CIRP, 77, 650-653.

TMCs(Titanium matrix composite), ANOVA, Material removal Rate (MRR), Tool Wear rate(TWR), Cu nanopowder.