Optimization of process parameters for remediation performance on mass removal of tetrachloroethylene source zones by using Taguchi design of experiment and artificial neural network

Şahin Y., Akyol N. H., Kasap S. S.

Water and Environment Journal, vol.36, no.3, pp.0-574, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 36 Issue: 3
  • Publication Date: 2022
  • Doi Number: 10.1111/wej.12787
  • Journal Name: Water and Environment Journal
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.0-574
  • Keywords: ANN, cyclodextrine, experimental design, sodium dodecyl sulfate, Taguchi, Tetrachloroethene, Tween 80, DYNAMIC CHARACTERISTICS, CYCLODEXTRIN, MODEL, DISSOLUTION, SCALE
  • Kocaeli University Affiliated: Yes

Abstract

--