Kuwait-University-Journal-of-Law-header
Search
Kuwait Journal of Science

Previous Issues

Advance Search
Year : From To Vol
Issue Discipline:
Author

Volume :31 Issue : 1 2004      Add To Cart                                                                    Download

Quantitative and qualitative evaluation of surface roughness-tool wear correlation in turning operations

Auther : S.E. ORABY*, A. AL-ASKARI, AND E. A. AL-MESHAIEI

 Department of Mechanical Production Technology, College of Technological Studies, PAAET, P.O. Box 42325 Shuwaikh 70654, KUWAIT

* soraby@paaet.edu.kw  Tel: (+965) 9549019)

 ABSTRACT

Product surface finish and its functional quality is a vital requirement and a crucial objective of the manufacturing process. However, surface quality is a complicated parameter to assess and, therefore, it is usually judged using comparable rather than absolute measuring techniques.

 Surface roughness in machining is inevitable since it is associated with the static and dynamic characteristics of the different elements of the cutting operations: tool-machine-workpart-cutting parameters. Moreover, it is not of a deterministic trend throughout the different stages of a process since individual and overall characteristics are usually subjected to continuous variability. Therefore, surface quality is not only different for different products but a product quality is expected to be inhomogeneous among its different zones. One of the major variability sources in machining that affect surface roughness is the different inevitable modes of tool edge deformation.

 In the current work, the interrelation between wear propagation and roughness variation is extensively studied. Experimental data from longitudinal turning operation at a wide spectrum of cutting variables are dealt with statistically so as to come up with accurate and universal nonlinear models. Consistent correlation is found between surface roughness variation and tool wear progress within its initial and constant regions. However, roughness is differently affected by wear modes either on the tool nose or on its flank areas. Moreover, it seems that roughness variability varies as wear progress passes from one mode to another or even moves from one domain (level) to another. Generally, it is shown that roughness is improved as wear increases but with possible corresponding workpart dimensional inaccuracy.

 Keywords: Nonlinear regression modeling; surface roughness (finish); tool wear and deformation; tool wear modes (nose, flank).

Kuwait Journal of Science
Journal of Law

You are Visitor No.

55663

Journal of Law
Journal of Law
Tell your friendsJournal of Law
Journal of Law

Last Updated

Jun 19, 2012

Journal of Law
Journal of Law
Journal of Law

Please enter your email Here to receive our news

Journal of Law