Intelligent Modeling and Multiobjective Optimization of Electric Discharge Diamond Grinding
作者： Pankaj Kumar Shrivastava , Avanish Kumar Dubey
DOI: 10.1080/10426914.2012.700153
关键词:
摘要: The grinding of metal matrix composites (MMCs) is very difficult by conventional techniques due to its improved mechanical properties. It often results in poor surface quality (surface damage) the form cracks/residual stresses and requires frequent truing dressing clogging wheel. electric discharge diamond (EDDG), a hybrid process machining may overcome these problems up some extent. But low material removal rate (MRR) high wheel wear (WWR) are main EDDG achieve economic performance. present paper investigates performance during copper-iron-graphite composite modeling simultaneous optimization two important characteristics such as MRR WWR. A approach artificial neural network, genetic algorithm, grey relational analysis has been proposed for multi-objective optimization. verification show considerable im...
sci-hub.se 参考文章(11)
Suleiman Abdulkareem, Ahsan Ali Khan, Mohamed Konneh, Cooling Effect on Electrode and Process Parameters in EDM Materials and Manufacturing Processes. ,vol. 25, pp. 462- 466 ,(2010) , 10.1080/15394450902996619
Anil Kumar, Sachin Maheshwari, Chitra Sharma, Naveen Beri, Research Developments in Additives Mixed Electrical Discharge Machining (AEDM): A State of Art Review Materials and Manufacturing Processes. ,vol. 25, pp. 1166- 1180 ,(2010) , 10.1080/10426914.2010.502954
R. K. Garg, K. K. Singh, Anish Sachdeva, Vishal S. Sharma, Kuldeep Ojha, Sharanjit Singh, Review of research work in sinking EDM and WEDM on metal matrix composite materials The International Journal of Advanced Manufacturing Technology. ,vol. 50, pp. 611- 624 ,(2010) , 10.1007/S00170-010-2534-5
Gyanendra Kumar Singh, Vinod Yadava, Raghuvir Kumar, Diamond face grinding of WC-Co composite with spark assistance: Experimental study and parameter optimization International Journal of Precision Engineering and Manufacturing. ,vol. 11, pp. 509- 518 ,(2010) , 10.1007/S12541-010-0059-3
A. Di Ilio, A. Paoletti, V. Tagliaferri, F. Veniali, An experimental study on grinding of silicon carbide reinforced aluminium alloys International Journal of Machine Tools & Manufacture. ,vol. 36, pp. 673- 685 ,(1996) , 10.1016/0890-6955(95)00068-2
N. Srinivas, Kalyanmoy Deb, Muiltiobjective optimization using nondominated sorting in genetic algorithms Evolutionary Computation. ,vol. 2, pp. 221- 248 ,(1994) , 10.1162/EVCO.1994.2.3.221
Y. W. Seo, D. Kim, M. Ramulu, Electrical Discharge Machining of Functionally Graded 15–35 Vol% SiCp/Al Composites Materials and Manufacturing Processes. ,vol. 21, pp. 479- 487 ,(2006) , 10.1080/10426910500471482
Kun-Li Wen, Ting-Cheng Chang, Mei-Li You, The grey entropy and its application in weighting analysis systems man and cybernetics. ,vol. 2, pp. 1842- 1844 ,(1998) , 10.1109/ICSMC.1998.728163
Naveen Beri, Sachin Maheshwari, Chitra Sharma, Anil Kumar, Technological Advancement in Electrical Discharge Machining with Powder Metallurgy Processed Electrodes: A Review Materials and Manufacturing Processes. ,vol. 25, pp. 1186- 1197 ,(2010) , 10.1080/10426914.2010.512647
K. P. Somashekhar, N. Ramachandran, Jose Mathew, Optimization of Material Removal Rate in Micro-EDM Using Artificial Neural Network and Genetic Algorithms Materials and Manufacturing Processes. ,vol. 25, pp. 467- 475 ,(2010) , 10.1080/10426910903365760