Surface Roughness and Tool Vibrations in Turning Operation: Prediction based on Cutting Variables in Turning Operation - Softcover

Abouelatta, Ossama

Softcover

ISBN 10: 3848489236 ISBN 13: 9783848489237

Publisher: LAP LAMBERT Academic Publishing, 2012

Synopsis

The ability to predict the surface texture of a machined part allows engineers to select appropriate process inputs such as cutting conditions and tool geometry during the design process, in order to control the required surface quality. In machining operations, the quality of surface finish is an important requirement for many turned workpieces. Thus, the choice of optimized cutting parameters is very important for controlling the required surface quality. The focus of the this work is to find a correlation between surface roughness and cutting vibrations in turning, and to derive mathematical models for the predicted roughness parameters based both on cutting parameters and machine tool vibrations. The correlation coefficient was calculated by collecting and analyzing data generated by turning mild carbon steel samples at different levels of speed, feed, depth of cut, tool nose radius, tool length, approach angle, workpiece diameter, workpiece length and tool frequency. An additional aim of the work is to find a mathematical model for the predicted roughness parameters, based on both cutting parameters and machine tool vibrations.

About this title

About the Author

Dr. Abouelatta graduated from the Production Engineering Department of Mansoura University, Egypt, with B.Sc. and M.Sc. in 1986 and 1991, respectively. He obtained his Ph.D. in Manufacturing Engineering, Czech Technical University in Prague, in 2000. He published about sixty eight papers in surface characterization and biomedical applications.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2012
• Language: English
• ISBN 10: 3848489236
• ISBN 13: 9783848489237
• Binding: Paperback
• Number of pages: 196