Optimization of Grinding Process Through Design of Experiment (DOE)—A Comparative Study

Abstract

Grinding is one of the most important processes for producing discrete components with high precision, and it accounts for about 20% to 30% of the total expenditure on machining operations in industrialized nations. So, it becomes imperative that the grinding process with its parameters must be understood properly to have good control over the quality, productivity, and cost aspects of the process. Many experimental investigations reveal that depth of cut, wheel speed, and work speed are the major influential parameters that affect the quality of the ground part. Determination of optimum parameters lies in the proper selection and introduction of suitable design of experiments (DOEs) at the earliest stage of the process and product development cycles. This paper compares and contrasts factorial design with Taguchi's design of experiments used in the determination of optimum grinding conditions. Optimum grinding conditions and grinding cycle time were estimated for each DOE and results were compared and analyzed. ANOVA analysis was carried out for the interpretation and for obtaining insight into the process as a whole.