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Volumn 162-163, Issue SPEC. ISS., 2005, Pages 629-636

Design of grinding factors based on response surface methodology

Author keywords

Grinding; Modelling; Optimization; Regression; Response surface methodology; Surface roughness

Indexed keywords

GENETIC ALGORITHMS; KINEMATICS; MATHEMATICAL MODELS; OPTIMIZATION; PARAMETER ESTIMATION; STANDARDS; SURFACE ROUGHNESS; CENTERLESS GRINDING; DESIGN; GRINDING (MACHINING); MODELS; REGRESSION ANALYSIS; SURFACE PROPERTIES;

EID: 17844395470     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2005.02.187     Document Type: Conference Paper
Times cited : (80)

References (11)
  • 2
    • 10444279233 scopus 로고    scopus 로고
    • Adequacy of matrix experiment in grinding
    • P. Krajnik, and J. Kopac Adequacy of matrix experiment in grinding J. Mater. Process. Technol. 157-158 2004 566 572
    • (2004) J. Mater. Process. Technol. , vol.157-158 , pp. 566-572
    • Krajnik, P.1    Kopac, J.2
  • 10
    • 0036711749 scopus 로고    scopus 로고
    • A multi-objective genetic algorithm (GA) approach for optimization of surface grinding operations
    • R. Saravanan, P. Asokan, and M. Sachidanandam A multi-objective genetic algorithm (GA) approach for optimization of surface grinding operations Int. J. Machine Tools Manuf. 42 2002 1327 1334
    • (2002) Int. J. Machine Tools Manuf. , vol.42 , pp. 1327-1334
    • Saravanan, R.1    Asokan, P.2    Sachidanandam, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.