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

Photochemical Machining of SS 316L


Affiliations
1 Dept. of Mechanical Engg, Dr. Babasaheb Ambedkar Technological University, Lonere, Raigad, M.S., India
     

   Subscribe/Renew Journal


This paper presents the optimization and mathematical modelling of machining parameters in Photochemical Machining (PCM) of SS316L. Twenty-seven experimental runs base on full factorial (33) Design of Experiments (DoE) technique were performed. The control parameters considered were the etchant concentration, etching temperature and etching time. The response parameter was Undercut (Uc). The effect of control parameters on undercut was analysed using Analysis of Variance (ANOVA) technique and their optimal conditions were evaluated. It was found that etchant temperature and etching time are the most significant factors for undercut.

Keywords

PCM, DoE, ANOVA, Uc.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 206

PDF Views: 0




  • Photochemical Machining of SS 316L

Abstract Views: 206  |  PDF Views: 0

Authors

Atul R. Saraf
Dept. of Mechanical Engg, Dr. Babasaheb Ambedkar Technological University, Lonere, Raigad, M.S., India
M. Sadaiah
Dept. of Mechanical Engg, Dr. Babasaheb Ambedkar Technological University, Lonere, Raigad, M.S., India

Abstract


This paper presents the optimization and mathematical modelling of machining parameters in Photochemical Machining (PCM) of SS316L. Twenty-seven experimental runs base on full factorial (33) Design of Experiments (DoE) technique were performed. The control parameters considered were the etchant concentration, etching temperature and etching time. The response parameter was Undercut (Uc). The effect of control parameters on undercut was analysed using Analysis of Variance (ANOVA) technique and their optimal conditions were evaluated. It was found that etchant temperature and etching time are the most significant factors for undercut.

Keywords


PCM, DoE, ANOVA, Uc.