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Volumn 33, Issue 1, 2007, Pages 61-66

Comparison of fuzzy expert system based strategies of offline and online estimation of flank wear in hard milling process

Author keywords

Cutting force; Expert system; Fuzzy sets; Hard milling; Wear estimation

Indexed keywords

FUZZY SETS; MILLING (MACHINING); ONLINE SYSTEMS; PARAMETER ESTIMATION; QUALITY CONTROL; WEAR OF MATERIALS;

EID: 33845676979     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2006.04.003     Document Type: Article
Times cited : (26)

References (12)
  • 1
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    • Axinte, D. A., & Dewes, R. C. (2001). Tool wear and workpiece surface integrity when high-speed ball nose end milling hardened AISI H13. In Proceedings of 3rd international conference on metal cutting and HSM (pp. 171-179). Metz, France.
  • 3
    • 33845622182 scopus 로고    scopus 로고
    • Du, R., Liu, Y., Xu, Y., Li, X., Wong, Y.S., & Hong, G. S. (2001). Tool condition monitoring using transition fuzzy probability. In Proceedings of 3rd international conference on metal cutting and HSM (pp. 375-392). Metz, France.
  • 4
    • 0029319312 scopus 로고
    • Expert system-supported fuzzy diagnosis of finish-turning process states
    • Fang X.D. Expert system-supported fuzzy diagnosis of finish-turning process states. International Journal of Machine Tools and Manufacture 35 6 (1995) 913-924
    • (1995) International Journal of Machine Tools and Manufacture , vol.35 , Issue.6 , pp. 913-924
    • Fang, X.D.1
  • 7
    • 33845613295 scopus 로고    scopus 로고
    • Luo, G., Osypiw, D.,& Irle, M. (2001). Tool wear monitoring by online vibration analysis with wavelet algorithm. In Proceedings of 3rd international conference on metal cutting and HSM (pp. 393-404). Metz, France.
  • 10
    • 33845670999 scopus 로고    scopus 로고
    • Schulz, H. (2004). Why high speed cutting. In Proceedings of international conference on high speed machining (pp. 1-20). Nanjing, China.
  • 11
    • 0036466690 scopus 로고    scopus 로고
    • Development of genetic algorithm-based fuzzy rules design for metal cutting data selection
    • Wong S.V., and Hamouda A.M.S. Development of genetic algorithm-based fuzzy rules design for metal cutting data selection. Robotics and Computer Integrated Manufacturing 18 (2002) 1-12
    • (2002) Robotics and Computer Integrated Manufacturing , vol.18 , pp. 1-12
    • Wong, S.V.1    Hamouda, A.M.S.2
  • 12
    • 33845630443 scopus 로고    scopus 로고
    • Zeren, E., & Ozel, T. (2002). Hard milling technology. Report No. MARL-02, Department of Industrial and Systems Engineering, The State University of New Jersey.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.