Машински факултет [Научни радови] / Faculty of Mechanical Engineering [Scientific papers]
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Прегледај Машински факултет [Научни радови] / Faculty of Mechanical Engineering [Scientific papers] по Аутор "Babić, Igor"
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- СтавкаINFLUENCES OF THE MILLING DIRECTION ON SURFACE QUALITY ON MILLING X155CrVMo12-1 STEEL(International Engineering and Technology Institute, 2022) Babić, Igor; Košarac, Aleksandar; Gao, Rui; Zunjic, AleksandarSurface quality is one of the main characteristics of a product and manufacturing process. In milling, there are two possible ways a tool moves relative to the movement of the workpiece – up and down milling. This paper investigates the effect of milling direction on surface quality and shows that the effect is independent of quality in terms of the arithmetic average of the roughness profile – Ra.
- СтавкаPREDICTING SURFACE ROUGHNESS IN THE MILLING OF BIOCOMPATIBLE ALLOY TI–6AL–4V(University Politehnica Timisoara, Faculty of Engineering Hunedoara, 2024-05) Babić, Igor; Šikuljak, Lana; Košarac, Aleksandar; Moljević, Slaviša; Sekulić, Milenko; Savković, Borislav; Aleksić, Anđelko; Kiss, ImreMechanical engineering plays an essential role in the development of medical devices, implants, prostheses, and medical equipment, with precise machining of bio–compatible materials being of considerable importance. Among the various traditional and modern machining methods, milling stands out as a widely employed technique. This study is dedicated to optimizing milling parameters to achieve a minimal average surface roughness (Ra) during the milling of the biocompatible alloy Ti–6Al–4V. This paper presents the optimization of machining parameters: cutting speed, feed rate and depth of cut. Each parameter is explored at three distinct levels, resulting in the initial design of 27 experimental runs. The paper further demonstrates how an extensive set of experiments can be streamlined to a more manageable 9 runs through the application of the Taguchi methodology. This paper points out the significant impact that varying levels can exert on the obtained results, highlighting the importance of a comprehensive and systematic approach to experimentation and optimization.