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Volumn 22, Issue 1, 2007, Pages 15-21

Optimization of tool geometry and cutting parameters for hard turning

Author keywords

Genetic algorithms; Hard turning; Surface roughness

Indexed keywords

GENETIC ALGORITHMS; MATHEMATICAL MODELS; PRODUCT DEVELOPMENT; QUALITY CONTROL; SURFACE ROUGHNESS; TURNING;

EID: 33845778447     PISSN: 10426914     EISSN: 15322475     Source Type: Journal    
DOI: 10.1080/10426910601015816     Document Type: Article
Times cited : (49)

References (11)
  • 2
    • 0032311787 scopus 로고    scopus 로고
    • Present situation and future trends in modeling of machining operations - Progress report of the cirp working group "modeling of machining operations"
    • Van Luttervelt, C.A.; Childs, T.H.C.; Jawahir, I.S.; Klocke, F.; Venuvinod, P.K. Present situation and future trends in modeling of machining operations - progress report of the cirp working group "modeling of machining operations". Annals of CIRP 1998, 47 (2), 587-626.
    • (1998) Annals of CIRP , vol.47 , Issue.2 , pp. 587-626
    • Van Luttervelt, C.A.1    Childs, T.H.C.2    Jawahir, I.S.3    Klocke, F.4    Venuvinod, P.K.5
  • 3
    • 0037097719 scopus 로고    scopus 로고
    • Performance-based optimal selection of cutting conditions and cutting tools in multipass turning operations using genetic algorithms
    • Wang, X.; Da, Z.J.; Balaji, A.K.; Jawahir, I.S. Performance-based optimal selection of cutting conditions and cutting tools in multipass turning operations using genetic algorithms. International Journal of Production Research 2002, 40 (9), 2050-2065.
    • (2002) International Journal of Production Research , vol.40 , Issue.9 , pp. 2050-2065
    • Wang, X.1    Da, Z.J.2    Balaji, A.K.3    Jawahir, I.S.4
  • 4
    • 0033615125 scopus 로고    scopus 로고
    • Effect of cutting edge geometry and workpiece hardness on surface generation in the finish hard turning of AISI 52100 steel
    • Thiele, J.D.; Melkote, S.N. Effect of cutting edge geometry and workpiece hardness on surface generation in the finish hard turning of AISI 52100 steel. Journal of Materials Processing Technology 1999, 94, 216-226.
    • (1999) Journal of Materials Processing Technology , vol.94 , pp. 216-226
    • Thiele, J.D.1    Melkote, S.N.2
  • 9
    • 12444249998 scopus 로고    scopus 로고
    • Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks
    • Özel, T.; Karpat, Y. Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks. International Journal of Machine Tools and Manufacture 2005, 45, 467-479.
    • (2005) International Journal of Machine Tools and Manufacture , vol.45 , pp. 467-479
    • Özel, T.1    Karpat, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.