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3 articles for “Volume of Material Removal Rate (VMRR)”
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Experimental Investigation of Process Parameters While Milling of AA8011 Using MCDM/MADM Method-TOPSIS
Abstract: This paper presents in-depth and comprehensive approach for optimizing the machining parameters in milling of wrought alloy AA8011 using a MCDM/MADM method called TOPSIS. The present work is carried out in three phases; in the first phase the orthogonal array L27 design is prepared using Minitab software by considering various milling parameters such as speed, feed and depth of cut at three different levels. In the second phase, milling operations …
Published in Journal of Production Research & Management · Vol. 8, Issue 2, 2018 · pp. 1–7 Read article
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Optimization of Multiple Performance Characteristics Using Desirability Function Analysis (DFA)
Abstract: In present days the manufacturers are facing many challenges in setting of optimal process parameters while machining in order to achieve multiple performance characteristics. The present work is to investigate the effect of the drilling process parameters on the multiple responses of Volume of material removal rate (VMRR) and surface roughness (Ra). The experiments were carried out on AA6082 material using taguchi’s L16 Orthogonal array with carbide twisted drills. The …
Published in Journal of Production Research & Management · Vol. 8, Issue 2, 2018 · pp. 23–29 Read article
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Experimental Investigation of Process Parameters While Milling of AA8011 Using MCDM/MADM Method-TOPSIS
Abstract: This paper presents in-depth and comprehensive approach for optimizing the machining parameters in milling of wrought alloy AA8011 using a MCDM/MADM method called TOPSIS. The present work is carried out in three phases; in the first phase the orthogonal array L27 design is prepared using Minitab software by considering various milling parameters such as speed, feed and depth of cut at three different levels. In the second phase, milling operations …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 1, 2018 · pp. 11–16 Read article