Manufacturing Technology Today

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Exploration of Optimum Cutting Conditions for Maximum Material Removal Rate in SIC Grinding Using Differential Evolution Technique


Affiliations
1 School of Mechanical Engg, Shanmugha Arts, Science, Technology & Research Academy (SASTRA) University, Thanjavur, India
2 Dept. of Mechanical Engg., M.A.M College of Engg., Tiruchirappalli, India
     

   Subscribe/Renew Journal


In this paper, the problem of determining optimum machining conditions for SiC grinding subjected to six different cutting constraints by Differential Evolution Technique (DET) is investigated. The optimum machining parameters namely feed and depth of cut are obtained to yield maximum maternal removal rate. The physical constraints are taken as feed, depth of cut, grain size of the grinding wheel, grain density of the grinding wheel, surface roughness and surface damage. In this work, the mathematical model proposed by Anne Venugopal et.al. is adopted and compared the result with the literature.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 210

PDF Views: 0




  • Exploration of Optimum Cutting Conditions for Maximum Material Removal Rate in SIC Grinding Using Differential Evolution Technique

Abstract Views: 210  |  PDF Views: 0

Authors

S. Bharathi Raja
School of Mechanical Engg, Shanmugha Arts, Science, Technology & Research Academy (SASTRA) University, Thanjavur, India
N. Baskar
Dept. of Mechanical Engg., M.A.M College of Engg., Tiruchirappalli, India

Abstract


In this paper, the problem of determining optimum machining conditions for SiC grinding subjected to six different cutting constraints by Differential Evolution Technique (DET) is investigated. The optimum machining parameters namely feed and depth of cut are obtained to yield maximum maternal removal rate. The physical constraints are taken as feed, depth of cut, grain size of the grinding wheel, grain density of the grinding wheel, surface roughness and surface damage. In this work, the mathematical model proposed by Anne Venugopal et.al. is adopted and compared the result with the literature.