Artikel

A Taguchi approach on optimal process control parameters for HDPE pipe extrusion process

High-density polyethylene (HDPE) pipes find versatile applicability for transportation of water, sewage and slurry from one place to another. Hence, these pipes undergo tremendous pressure by the fluid carried. The present work entails the optimization of the withstanding pressure of the HDPE pipes using Taguchi technique. The traditional heuristic methodology stresses on a trial and error approach and relies heavily upon the accumulated experience of the process engineers for determining the optimal process control parameters. This results in setting up of less-than-optimal values. Hence, there arouse a necessity to determine optimal process control parameters for the pipe extrusion process, which can ensure robust pipe quality and process reliability. In the proposed optimization strategy, the design of experiments (DoE) are conducted wherein different control parameter combinations are analyzed by considering multiple setting levels of each control parameter. The concept of signal-to-noise ratio (S/N ratio) is applied and ultimately optimum values of process control parameters are obtained as: pushing zone temperature of 166 °C, Dimmer speed at 08 rpm, and Die head temperature to be 192 °C. Confirmation experimental run is also conducted to verify the analysis and research result and values proved to be in synchronization with the main experimental findings and the withstanding pressure showed a significant improvement from 0.60 to 1.004 Mpa.

Sprache
Englisch

Erschienen in
Journal: Journal of Industrial Engineering International ; ISSN: 2251-712X ; Volume: 13 ; Year: 2017 ; Issue: 2 ; Pages: 215-228 ; Heidelberg: Springer

Klassifikation
Management
Thema
Design of experiments (DOE)
Analysis of variance (ANOVA)
Signal to noise (S/N) ratio
Taguchi approach

Ereignis
Geistige Schöpfung
(wer)
Sharma, G. V. S. S.
Rao, R. Umamaheswara
Rao, P. Srinivasa
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Heidelberg
(wann)
2017

DOI
doi:10.1007/s40092-016-0179-1
Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Sharma, G. V. S. S.
  • Rao, R. Umamaheswara
  • Rao, P. Srinivasa
  • Springer

Entstanden

  • 2017

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