Authors:
Satish Kumar, Swarn Singh, Yuri Ryagin, Dinka Lale, B. Saferuden
Addresses:
Department of Mechanical Engineering, Chandigarh Group of Colleges, Mohali, Punjab, India. Department of Low Temperature Physics and Nanoscale Systems, Ural Federal University (UrFU), Yekaterinburg, Sverdlovsk Oblast, Russia. Faculty of Electrical Engineering and Applied Computing, University of Dubrovnik, Dubrovnik, Dalmatia, Croatia. Department of Research and Development, Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India.
The present paper presents a concise report on the effect of three cutting parameters, i.e., cutting speed, feed rate, and depth of cut, on the surface finish of H13 hot die steel. It is of utmost significance in die and mould making to achieve a good surface finish, as it directly correlates with tool life, product quality, and production cost. The experiment is carried out systematically using a CNC milling machine to capture a dataset of 489 samples. Surface roughness () is recorded for each set of parameters. Statistical tools such as Analysis of Variance (ANOVA) have been used to quantify the effects of each parameter and its interactions. The results indicate that feed rate and, consequently, cutting speed are the most suitable surface roughness parameters. A low feed rate and a high cutting speed were found to yield a higher average surface finish. Cutting depth was found to yield very minimal but real effects. Models were graphically represented, with acceptable agreement between the machined parameters and the realised surface roughness.
Keywords: Hot Die Steel (H13); Surface Roughness; Machining Parameters; CNC Milling; Process Optimisation; Analysis of Variance; Response Surface Methodology; Built-Up Edge; Minimum Quantity Lubrication.
Received on: 07/06/2024, Revised on: 18/07/2024, Accepted on: 03/10/2024, Published on: 09/06/2025
DOI: 10.64091/ATIAS.2025.000177
AVE Trends in Intelligent Applied Sciences, 2025 Vol. 1 No. 2, Pages: 68-75