Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/125400
Title: Prediction and Optimization of Machining Parameters for Minimizing Surface Roughness and Power Consumption during Turning of AISI 1045 Steel
Researcher: Kant, Girish
Guide(s): Sangwan, Kuldip Singh
Keywords: AISI, Machining Parameters, Mechanical Engineering
University: Birla Institute of Technology and Science
Completed Date: 18/08/2016
Abstract: After well known formula relating tool life to cutting speed given by Taylor in 1907, a lot of research on the modelling and optimization of machining parameters for surface roughness,tool wear, forces, etc. has been done during last 100 years. However, a little research has newlinebeen done to optimize the energy efficiency of machine tools. The energy efficiency of newlinemachines tools is generally very low particularly during the discrete part manufacturing. newlineReduction in power consumption, in addition to economical benefits, will also improve the newlineenvironmental impact of machine tools and manufacturing processes. However, newlinesustainability performance may be reduced artificially by increasing the surface roughness as newlinelower surface finish requires lesser power and resources to finish the machining. But this newlinemay lead to more rejects, rework and time. Therefore, an optimum combination of power newlineand surface finish is desired for sustainability performance of the machining processes newline
Pagination: 
URI: http://hdl.handle.net/10603/125400
Appears in Departments:Mechanical Engineering

Files in This Item:
File Description SizeFormat 
2006phxf421p synopsis.pdfAttached File137.02 kBAdobe PDFView/Open
2006phxf421p thesis.pdf4.06 MBAdobe PDFView/Open


Items in Shodhganga are protected by copyright, with all rights reserved, unless otherwise indicated.