Determination of optimum parameters for multi-performance characteristics in turning by using grey relational analysis
Authors:
Open Access
- 3 January 2012
- journal article
- research article
- Published by Springer Nature in The International Journal of Advanced Manufacturing Technology
- Vol. 63 (1-4) , 13-24
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- OPTIMAL MACHINING CONDITIONS FOR TURNING OF PARTICULATE METAL MATRIX COMPOSITES USING TAGUCHI AND RESPONSE SURFACE METHODOLOGIESMachining Science and Technology, 2006
- Experimental investigation to study the effect of solid lubricants on cutting forces and surface quality in end millingInternational Journal of Machine Tools and Manufacture, 2006
- PULSED ELECTROCHEMICAL MACHINING OF IRON IN NaNO3: FUNDAMENTALS AND NEW ASPECTSMaterials and Manufacturing Processes, 2005
- Use of the Taguchi Method and Grey Relational Analysis to Optimize Turning Operations with Multiple Performance CharacteristicsMaterials and Manufacturing Processes, 2004
- Performance Improvement of Grinding of SiC Using Graphite as a Solid LubricantMaterials and Manufacturing Processes, 2004
- An investigation on solid lubricant moulded grinding wheelsInternational Journal of Machine Tools and Manufacture, 2003
- Cutting behavior of a TiN-coated carbide drill with curved cutting edges during the high-speed machining of stainless steelJournal of Materials Processing Technology, 2002
- A genetic algorithmic approach for optimization of surface roughness prediction modelInternational Journal of Machine Tools and Manufacture, 2002
- Optimal machining parameters for achieving the desired surface roughness in fine turning of cold pre-formed steel workpiecesInternational Journal of Machine Tools and Manufacture, 2002
- Regression Analysis for Predicting Surface Finish and Its Application in the Determination of Optimum Machining ConditionsJournal of Engineering for Industry, 1970