MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202621096232 A) filed by Dr. D. Y. Patil Institute Of Technology, Pimpri, Pune - on August 08, 2026, for Parametric Analysis Of Turning Process On En24 Using Taguchi'S Orthogonal Array Method.
Inventors include Dr. Narayan P. Sapkal; Mr. Rohan Thakur; Mr. Nishikant Patil; and Mr. Mihir Wagodhekar.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: The present invention relates to a method for parametric analysis and optimization of the turning process on EN24 alloy steel using Taguchi’s orthogonal array technique. The invention focuses on improving machining performance, reducing production cost, and enhancing product quality in industrial manufacturing applications. In this method, important machining parameters such as cutting speed, feed rate, and depth of cut are selected as control factors influencing the turning operation. These parameters are varied systematically according to Taguchi’s orthogonal array design in order to minimize the number of experimental trials while maintaining high accuracy and reliability of results. The turning experiments are carried out on EN24 alloy steel workpieces using a conventional or CNC lathe machine under controlled machining conditions. During the experimentation, the process responses including surface roughness, material removal rate, cutting force, and tool tip temperature are measured and recorded for each experimental run. Surface roughness is evaluated to determine the quality of the machined surface, while material removal rate is considered for productivity assessment. The collected experimental data are analyzed using signal-to-noise ratio analysis to identify the optimal parameter settings that provide improved machining performance with minimum variability. Further, analysis of variance (ANOVA) is employed to determine the significance and percentage contribution of each machining parameter on the performance characteristics. The method enables identification of the most influential parameter affecting surface finish and productivity during the turning process. The approach of optimization also helps in understanding the interaction between machining parameters and their combined effect on machining efficiency. The invention provides a systematic, economical, and efficient methodology for optimizing machining parameters in turning operations of EN24 alloy steel. By applying Taguchi optimization techniques, the method reduces experimental effort, saves machining time, minimizes tool wear, and improves dimensional accuracy and surface integrity of the machined component. The optimized machining conditions obtained through the present invention can be effectively utilized in automobile, aerospace, and mechanical engineering industries where EN24 alloy steel is widely used due to its high strength and toughness. Additionally, the proposed method contributes to sustainable manufacturing by reducing material wastage, energy consumption, and unnecessary machining operations. The invention therefore offers an industrially applicable solution for achieving higher productivity, improved surface quality, and cost-effective machining performance in modern turning processes.
Disclaimer: Curated by HT Syndication.
