Mühendislik Fakültesi / Faculty of Engineering

Permanent URI for this collectionhttps://hdl.handle.net/11727/1401

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Author: search.filters.author.Saraloglu Guler, Ebru

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    Minimisation of Carbon Emission Regarding Surface Roughness and Processing Time During Turning Process of Medium Carbon Steel and Stainless Steel Materials
    (AUSTRALIAN JOURNAL OF MECHANICAL ENGINEERING, 2024) Tansel A A, Yusuf; Saraloglu Guler, Ebru; Sasmaz, Turgut
    Low carbon manufacturing has gathered attention since wide range of the emission sources belong to industrial activities. The present work analysed five turning parameters which are spindle speed, cutting speed, depth of cut, type of tool material and working material to obtain minimum carbon emission together with high surface quality and minimum processing time. Two different cases are investigated depending on the material families. AISI 1040, AISI 4140 and grade St37 carbon steels are examined in the first case whereas AISI 304, AISI 303 and AISI 316 grade stainless steels are studied as working material without changing the other four parameters. The minimum carbon emission by optimisation was found 14.84 and 24.30 kg carbon dioxide (CO2) for stainless steel and carbon steel, respectively. Furthermore, the best candidate was selected as grade St37 among carbon steel working materials and either AISI 303 or AISI 316 stainless steel was proposed according to the optimisation study.
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    Multi-objective Optimization of Turning Parameters for SiC- or Al2O3-Reinforced Aluminum Matrix Composites
    (2021) Ic, Yusuf Tansel; Saraloglu Guler, Ebru; Sezer, Busra; Tas, Bugrahan Samed; Sahin, Hazel Sultan; 0000-0001-9274-7467; AGE-3003-2022
    This paper investigates the turning performance of particle-reinforced composite materials in terms of energy consumption and surface quality. The proposal of an experimental design approach pertinent to the optimization of machining parameters in the dry turning of SiC- or Al2O3-reinforced aluminum matrix composites is the novel aspect of the study. A series of the experiment is set using a 2(k) factorial design to get the regression equations for the hardness, surface roughness, and energy consumption during the turning process. Also, the goal programming method is used to determine the optimal values of the factors that achieved minimum energy consumption (4 J), minimum surface roughness (2.5 mu m), and a minimum hardness (100 HRc) of the machined surface for the conventional the dry turning process. As a result of the study, the new optimum machining parameters for SiC-reinforced Al6063 aluminum composite in dry turning process are revealed. Besides, the optimum parameters are introduced as 1668 mm/rev, 1 mm, KNUX 1605X, and SiC-reinforced Al alloy for feed rate, depth of cut, cutting tool material, and working material, respectively.