Optimization of Machined Product Quality in The Milling Process of Inconel High-Tech Material
Authors: Yusuf Tansel Ic, Zeki Anıl Adıgüzel, Baran Azizoğlu, Alparslan Eren Keskin, Minesu Köksal, Berat Subutay Özbek
Abstract: Today, Inconel 601 materials are used in special areas and frequently processed in the aerospace industry. Due to the high specific expectation of sectors, the manufacturing quality of Inconel 601 material is crucial. There are some studies in the literature related to the optimization of milling process parameters such as cutting speed, feed rate, and depth of cut to reach high-quality characteristics depending on the quality expectations. We aimed to optimize the surface roughness, manufacturing lead time, and energy consumption that will occur during the milling process of the Inconel 601 workpiece. Spindle speed, depth of cut, and feed rate of the cutting tool parameters and their levels are used as parameters (factors) in the design of the experimental study. Then the ANOVA tables are obtained. Furthermore, regression equations of the quality characteristics are determined. Finally, a multi-response optimization study is proposed to optimize parameter levels considering to achieve the maximum quality level of the machined part.
Keywords: Inconel 601, Multi, response optimization, Design of Experiment.
Cite this paper: