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Journal of Applied Polymer Science· 2026Q2

A Combined MCDM Approach for Parametric Hierarchy in Friction Stir Lap Welding of Dissimilar Polycarbonate to Nylon‐6

Nisith Ku. Goswami, Tarakeswar Barik, Kamal Pal, Raj Ku. Bisoyi

Short summary

Friction stir lap welding of polycarbonate to nylon-6 achieved a balanced weld strength and ductility using AHP-entropy weights, with the optimal condition (1600 rpm, 15 mm/min, 0.3 mm, hexagonal pin) yielding 28.9 MPa strength and 17.1 mm elongation.

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Key points

  • Friction stir lap welding (FSLW) was successfully applied to join polycarbonate and nylon-6 sheets.
  • Response surface methodology identified significant regression models for joint efficiency and weld hardness.
  • The optimal welding parameters (1600 rpm, 15 mm/min, 0.3 mm, hexagonal pin) yielded a weld with 28.9 MPa strength and 17.1 mm elongation.
  • AHP-entropy weights were used to balance weld strength, elongation, and hardness.
  • Three MCDM approaches (CoCoSo, MABAC, grey relational analysis) agreed on the best welding condition and showed high correlation in ranking.

AI-generated from the title and abstract; the full text is not read.

Abstract

ABSTRACT The present work addresses the feasibility of friction stir lap welding (FSLW) for the joining of polycarbonate to nylon‐6 sheets in overlapped configuration. The effects of tool rotational speed, traverse speed, plunge depth using different tool pin profiles (swept ratios) were studied on quality characteristics of dissimilar welds using response surface methodology (RSM). The second‐order regression models were significant for joint efficiency and weld hardness. The lowest traverse speed (15 mm/min) resulted in the highest weld strength and elongation whereas square pin indicated the weakest welds with undercut flaws. The strongest weld (31.3 MPa) without much ductility was noticed using hexagonal pin at 1600 rpm, 15 mm/min and 0.1 mm, while cylindrical pin at 2400 rpm made stronger (31.0 MPa) weld with higher ductility. The strength and ductility were balanced using AHP‐entropy weights (0.349, 0.582, 0.069 for strength, elongation and hardness, respectively). The welding experiments were ranked using CoCoSo, MABAC and grey relational analysis. All three approaches selected the same best condition (1600 rpm, 15 mm/min, 0.3 mm) using hexagonal pin (28.9 MPa, 17.1 mm elongation) that showed the highest weld ductility with adequate strength. Moreover, the rankings methods agreed high closeness (Spearman correlations of 0.951–0.991) that can precisely rank the parametric levels.

The authors' abstract, as published at the source. Journal of Applied Polymer Science, 2026 · DOI ↗

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Field: Mechanical Engineering

Mechanical EngineeringEngineering