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Volumn 56, Issue 6, 2000, Pages 563-571

Prediction of aluminum pitting in natural waters via artificial neural network analysis

Author keywords

AA1100; Aluminum; Neural network; Ph; Pitting corrosion; Spent nuclear fuel

Indexed keywords


EID: 0012981645     PISSN: 00109312     EISSN: None     Source Type: Journal    
DOI: 10.5006/1.3280560     Document Type: Article
Times cited : (26)

References (2)
  • 1
    • 0141637606 scopus 로고    scopus 로고
    • Corrosion Surveillance in Spent Fuel Storage Pools
    • Houston. TX: NACE International
    • J.P. Howell. "Corrosion Surveillance in Spent Fuel Storage Pools." CORROSION/97, paper no. 107 (Houston. TX: NACE International, 1997).
    • (1997) CORROSION/97, Paper No. 107 , vol.107
    • Howell, J.P.1
  • 2
    • 85046720893 scopus 로고    scopus 로고
    • Evaluation of Water Chemistry on the Pitting Susceptibility of Aluminum
    • Houston. TX: NACE
    • G.T. Chandler. R.S. Sindelar. P.-S. Lam, "Evaluation of Water Chemistry on the Pitting Susceptibility of Aluminum," CORROSION/97, paper no. 104 (Houston. TX: NACE, 1997).
    • (1997) CORROSION/97, Paper No. 104 , vol.104
    • Chandler, G.T.1    Sindelar, R.S.2    Lam, P.-S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.