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Volumn 18, Issue 5, 2004, Pages 341-344

Development of the prediction method on mechanical properties of weld metals

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Indexed keywords


EID: 85011466985     PISSN: 09507116     EISSN: 17542138     Source Type: Journal    
DOI: 10.1533/wint.2004.3254     Document Type: Article
Times cited : (1)

References (5)
  • 1
    • 0035271293 scopus 로고    scopus 로고
    • Current status and tasks for weld metal microstructure and material quality prediction
    • Seki, S., et al:‘Current status and tasks for weld metal microstructure and material quality prediction’. J Jpn Weld Soc200170 48-54.
    • (2001) J Jpn Weld Soc , vol.70 , pp. 48-54
    • Seki, S.1
  • 2
    • 4444352581 scopus 로고    scopus 로고
    • Development of prediction method on mechanical properties of weld metals
    • Seki Y: ‘Development of prediction method on mechanical properties of weld metals’. Abst Jpn Weld Soc200372N8-9.
    • (2003) Abst Jpn Weld Soc , vol.72 , pp. N8-N9
    • Seki, Y.1
  • 3
    • 85011466977 scopus 로고
    • Quantification of phase transformation behaviour of non-treated and work hardened austenite
    • Nos. 131 and 132, Nishiyama Commemorative Technical Lecture Text, Japan Steel Association
    • Umemoto M: ‘Quantification of phase transformation behaviour of non-treated and work hardened austenite’. Nos. 131 and 132, Nishiyama Commemorative Technical Lecture Text ‘Present and future of material prediction/control technology for steel materials’ Japan Steel Association 1989 97-121.
    • (1989) Present and Future of Material Prediction/Control Technology for Steel Materials , pp. 97-121
    • Umemoto, M.1
  • 5
    • 85011485654 scopus 로고    scopus 로고
    • Evaluation of material and weld zone prop erties by combination of Bayes estimation and a neural net work
    • Fujii, F., and Ichikawa, I.,: ‘Evaluation of material and weld zone prop erties by combination of Bayes estimation and a neural net work’. J Jpn Weld Soc200069228-231.
    • (2000) J Jpn Weld Soc , vol.69 , pp. 228-231
    • Fujii, F.1    Ichikawa, I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.