Optimization and modeling of spot welding parameters with simultaneous multiple response consideration using multi-objective Taguchi method and RSM View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-08

AUTHORS

Norasiah Muhammad, Yupiter H. P. Manurung, Mohammad Hafidzi, Sunhaji Kiyai Abas, Ghalib Tham, Esa Haruman

ABSTRACT

This paper presents an alternative method to optimize process parameters of resistance spot welding (RSW) towards weld zone development. The optimization approach attempts to consider simultaneously the multiple quality characteristics, namely weld nugget and heat affected zone (HAZ), using multi-objective Taguchi method (MTM). The experimental study was conducted for plate thickness of 1.5 mm under different welding current, weld time and hold time. The optimum welding parameters were investigated using the Taguchi method with L9 orthogonal array. The optimum value was analyzed by means of MTM, which involved the calculation of total normalized quality loss (TNQL) and multi signal to noise ratio (MSNR). A significant level of the welding parameters was further obtained by using analysis of variance (ANOVA). Furthermore, the first order model for predicting the weld zone development is derived by using response surface methodology (RSM). Based on the experimental confirmation test, the proposed method can be effectively applied to estimate the size of weld zone, which can be used to enhance and optimized the welding performance in RSW or other application. More... »

PAGES

2365-2370

References to SciGraph publications

  • 2001-01. Simultaneous Optimisation of Multiple Quality Characteristics in Manufacturing Processes Using Taguchi's Quality Loss Function in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2007-10. A study on the prediction of bead geometry in the robotic welding system in JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s12206-012-0618-x

    DOI

    http://dx.doi.org/10.1007/s12206-012-0618-x

    DIMENSIONS

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    132 https://www.grid.ac/institutes/grid.443439.d schema:alternateName Bakrie University
    133 schema:name Bakrie University, Jakarta, Indonesia
    134 Faculty of Mechanical Engineering, Universiti Teknologi MARA (UiTM), 40450, Shah Alam, Selangor, Malaysia
    135 rdf:type schema:Organization
     




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