Browsing by Author "Bayramoglu, Melih"

Now showing 1 - 3 of 3

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.
Citation - WoS: 1
Temperature Distribution of Multipass Tig Welded Aisi 304 L Stainless Steel
(Carl Hanser Verlag, 2011) Esme, Ugur; Bayramoglu, Melih; Serin, Hasan; Guven, Onur; Aydin, Hakan; Kazancoglu, Yigit
Tungsten inert gas welding (TIG) is one of the most important material-joining processes widely used in industry. AISI type 304L stainless steel plates with 8 and 10 mm thicknesses are widely used in the fabrication of pressure vessels and other components. These plates are mostly joined together by multipass welding methods. The temperature distribution that occurs during multipass welding affects the material microstructure, hardness, mechanical properties, and the residual stresses that will be present in the welded material. Very limited experimental data regarding temperature distribution during multipass welding of plates is available in the literature. Experimental work was carried out to find out the temperature distribution during multipass welding of the AISI 304L stainless steel plates. The temperature distribution curves obtained during the experiments are presented. The average maximum temperature rise during each pass of welding is calculated and plotted against the distance from the weld pad centre line. From these plots, the maximum temperature rise expected in the base plate region during any pass of welding operation can be estimated.