Browsing by Author "Ozgun, Sueda"

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Citation - WoS: 28
Citation - Scopus: 36
Multi-Objective Optimization of the Cutting Forces in Turning Operations Using the Grey-Based Taguchi Method
(Inst Za Kovinske Materiale I In Tehnologie, 2011) Kazancoglu, Yigit; Esme, Ugur; Bayramoglu, Melih; Guven, Onur; Ozgun, Sueda
This study investigated the multi-response optimization of the turning process for an optimal parametric combination to yield the minimum cutting forces and surface roughness with the maximum material-removal rate (MRR) using a combination of a Grey relational analysis (GRA) and the Taguchi method. Nine experimental runs based on an orthogonal array of the Taguchi method were performed to derive objective functions to be optimized within the experimental domain. The objective functions were selected in relation to the parameters of the cutting process: cutting force, surface roughness and MRR. The Taguchi approach was followed by the Grey relational analysis to solve the multi-response optimization problem. The significance of the factors on the overall quality characteristics of the cutting process was also evaluated quantitatively using the analysis-of-variance method (ANOVA). Optimal results were verified through additional experiments. This shows that a proper selection of the cutting parameters produces a high material-removal rate with a better surface roughness and a lower cutting force.
Citation - WoS: 59
Citation - Scopus: 96
Optimization of Weld Bead Geometry in Tig Welding Process Using Grey Relation Analysis and Taguchi Method
(Inst Za Kovinske Materiale I In Tehnologie, 2009) Esme, Ugur; Bayramoglu, Melih; Kazançoğlu, Yiğit; Ozgun, Sueda
This study investigated the multi-response optimization of tungsten inert gas welding (TIG) welding process for an optimal parametric combination to yield favorable bead geometry of welded joints using the Grey relational analysis and Taguchi method. Sixteen experimental runs based on an orthogonal array of Taguchi method were performed to derive objective functions to be optimized within experimental domain. The objective functions have been selected in relation to parameters of TIG welding bead geometry; bead width, bead height, penetration, area of penetration as well as width of heat affected zone and tensile load. The Taguchi approach followed by Grey relational analysis to solve the multi-response optimization problem. The significance of the factors on overall quality characteristics of the weldment has also been evaluated quantitatively by the analysis of variance method (ANOVA). Optimal results have been verified through additional experiments. This shows application feasibility of the Grey relation analysis in combination with Taguchi technique for continuous improvement it) product quality in manufacturing industry.