Optimization of surface roughness for duplex brass alloy in EDM using response surface methodology

• Autorzy: Marichamy S. , Saravanan M. , Ravichandran M. , Stalin B.
• Języki publikacji: EN

Abstrakty

EN

In recent scenario, Duplex brass alloy have drawn many attention of researchers due to the properties such as excellent corrosive resistance, machinability, ductile and easy of fabrication. In present work, the alloy is fabricated by stir casting technique and the machinability was studied during Electric Discharge Machining. In this experiment the control parameters such as current, voltage, pulse on time and flushing pressure were considered to study the effect on Surface roughness (Ra). Response surface methodology (RSM) was used to design the experiment using Box - Behnken design (BBD). An attempt has been made to investigate find out the best optimal parameter for the machining the alloy. The response model has been validated with analysis of variance (ANOVA). Peak current was identified as the significant factor affecting the surface roughness during machining.

Słowa kluczowe

EN

electrical discharge machining; EDM; duplex brass; response surface methodology; RSM; MRR; EWR

PL

obróbka elektroerozyjna; EDM; metoda powierzchni odpowiedzi; RSM; MRR; EWR

• Wydawca: Wydawnictwo Politechniki Łódzkiej
• Czasopismo: Mechanics and Mechanical Engineering
• Rocznik: 2017
• Tom: Vol. 21, nr 1
• Strony: 57--66
• Opis fizyczny: Bibliogr. 12 poz., 1 fot. kolor., wykr.

Twórcy

autor

Marichamy S.

• Department of Mechanical Engineering, Vickram College of Engineering, Sivagangai 630561, Tamilnadu, India

autor

Saravanan M.

• Department of Mechanical Engineering, Sri Subramanya College of Engineering and Technology, Palani 624615, Tamilnadu, India

autor

Ravichandran M.

• Department of Mechanical Engineering, Chendhuran College of Engineering and Technology, Pudukkottai 622507, Tamilnadu, India

autor

Stalin B.

• Department of Mechanical Engineering, Anna University Regional Centre, Madurai, Tamilnadu, India

Bibliografia

• [1] Kanagarajan, D., Karthikeyan, R., Palanikumar, K. and Sivaraj, P.: Influence of process parameters on electric discharge machining of WC/30% Co composites, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 222, 807-815, 2008.
• [2] Zhang, J. H., Lee, T. C. and Lau, W. S.: Study on the electro-discharge machining of a hot pressed aluminum oxide based ceramic, Journal of Materials Processing Technology, 63, 908-912, 1997.
• [3] Tsai, K. M. and Wang, P. J.: Predictions on surface finish in electrical discharge machining based upon neural network models, International Journal of Machine Tools and Manufacture, 41, 1385-1403, 2001.
• [4] Routara, B. C., Bandyopadhyay, A. and Sahoo, P.: Use of desirability function approach for optimization of multiple performance characteristics of the surface roughness parameters in CNC turning, Proceedings of the International Conference on Mechanical Engineering, Dhaka, Bangladesh, 2007.
• [5] Bhattacharyya, B., Gangopadhyay, S. and Sarkar, B. R.: Modelling and analysis of EDMed job surface integrity, Journal of Materials Processing Technology, 189, 169-177, 2007.
• [6] Zarepour, H., Tehrani, A. F., Karimi, D. and Amini, S.: Statistical analysis on electrode wear in EDM of tool steel DIN 1.2714 used in forging dies,” Journal of Materials Processing Technology, 187-188, 711-714, 2007.
• [7] Kao, J. Y., Tsao, C. C., Wang, S. S. and Hsu, C. Y.: Optimization of the EDM parameters on machining Ti-6Al-4V with multiple quality characteristics, International Journal of Advanced Manufacturing Technology, 47, 1-4, 395-402, 2010.
• [8] Pradhan, M. K., Das, R. and Biswas, C. K.: Prediction of surface roughness in electrical discharge machining of D2 steel using regression and artificial neural networks modeling, Journal of Machining and Forming Technologies, 2, 1-2, 25-46, 2009.
• [9] Montgomery, D. C.: Design and analysis of experiments, Wiley, New York, 1997.
• [10] Pradhan, M. K. and Biswas, C. K.: Investigation into the effect of process parameters on surface roughness in EDM of AISI D2 steel by response surface methodology, International Journal of Precision Technology, 2, 64-80, 2011.
• [11] Asif, I. and Khan, A. A.: Modeling and analysis of MRR, EWR and Surface Roughness in EDM Milling through Response Surface Methodology, American Journal of Engineering and Applied Sciences, 3, 4, 611-619, 2010.
• [12] El-Taweel, T. A.: Multi-response optimization of EDM with Al-Cu-Si-TiC P/M composite electrode, International Journal of Advanced Manufacturing Technology, 44, 100-113, 2009.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).