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Volumn 197, Issue 1-3, 2008, Pages 439-444

Modeling of surface roughness in precision machining of metal matrix composites using ANN

Author keywords

Artificial neural networks; Metal matrix composites design of experiments; Surface roughness

Indexed keywords

COMPOSITE MATERIALS; DATABASE SYSTEMS; PRECISION ENGINEERING; SURFACE ROUGHNESS; TEMPERATURE DISTRIBUTION;

EID: 37049001016     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2007.04.121     Document Type: Article
Times cited : (131)

References (10)
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    • Martin T.H., and Mohammed B.M. Training feed forward networks with the Marquardt algorithm. IEEE Trans. Neural Netw. 5 6 (1994) 989-994
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    • Modeling and optimization of machining process in discontinuously reinforced aluminum matrix composites
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    • (2004) Int. J. Mach. Sci. Technol. , vol.8 , Issue.1 , pp. 85-102
    • Pendse, D.M.1    Joshi, S.S.2
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    • The effect of machining on the surface properties of SiC/Al composites
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    • Quan, Y.1    Ye, B.2
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    • Machining of composite materials
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    • Teti, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.