Evaluation of machinability performance of T51603 using response surface methodology and grey relational analysis
Author:
Affiliation:
1. Sri Eshwar College of Engineering, India
2. Rathinam Technical Campus, India
Publisher
FapUNIFESP (SciELO)
Link
http://www.scielo.br/scielo.php?script=sci_pdf&pid=S1517-70762024000100236&tlng=en
Reference32 articles.
1. “Experimental study of surface roughness in slot end milling AL2014-T6”;WANG M.Y.;International Journal of Machine Tools & Manufacture,2004
2. “Optimization of machining parameters using genetic algorithm and experimental validation for end-milling operations”;PALANISAMY P.;International Journal of Advanced Manufacturing Technology,2007
3. “Optimization of machining parameters of Al/SiC-MMC with ANOVA and ANN analysis”;MUTHUKRISHNAN N.;Journal of Materials Processing Technology,2009
4. “Surface roughness generation and material removal rate in ball end milling operations”;QUINTANA G.;Materials and Manufacturing Processes,2010
5. “Surface roughness model for end milling: a semi-free cutting carbon casehardening steel (EN32) in dry condition”;MANSOUR A.;Journal of Materials Processing Technology,2002
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