Optimisation of surface finish in abrasive water jet cutting of Kevlar composites using hybrid Taguchi and response surface method

T.U. Siddiqui, M. Shukla, P. B. Tambe

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Abrasive water jet cutting (AWJC) is particularly useful for difficult-to-cut materials like composites, super alloys and ceramics. However, the surface finish produced is often poor, necessitating finishing operations like grinding, etc., which lead to delamination in case of polymer composite laminates. Therefore, optimum selection of process parameters is important in AWJC. This paper presents the influence of three process parameters (water jet pressure, abrasive flow rate and quality level) on surface roughness (Ra) in AWJC of Kevlar composites. The optimal parameter setting was determined using a hybrid Taguchi and response surface method (HTRSM). The experimental results and ANOVA analysis indicate that quality level and water jet pressure have more significant effect on Ra. A second order response surface model was developed using the central composite rotatable design CCRD). Finally, confirmation experiments were conducted to verify the predicted and experimental results at optimal settings, and an excellent agreement was obtained between the two. © 2008, Inderscience Publishers.
Original languageEnglish
Pages (from-to)382-402
Number of pages21
JournalInternational Journal of Machining and Machinability of Materials
Volume3
Issue number3-4
DOIs
Publication statusPublished - 2008
Externally publishedYes

Bibliographical note

cited By 1

Keywords

  • Abrasive cutting
  • Abrasives
  • ABS resins
  • Aircraft
  • Analysis of variance (ANOVA)
  • Building materials
  • Carbon fiber reinforced plastics
  • Cutting
  • Experiments
  • Friction
  • Metallic compounds
  • Polymer matrix composites
  • Surface properties
  • Surface roughness
  • Surfaces
  • Taguchi methods
  • Water analysis, Abrasive water jet cutting
  • ANOVA
  • AWJC
  • Kevlar composites
  • Optimisation
  • Response surface method
  • S/N ratio, Jets

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