Modeling and optimization of the corresponding parameters of grinding
processesare fascinating tasks for mechanical engineers. This paper mainly investigates
a suitable model of the grinding process using a very popular statistical analysis tool,
ANOVA, and Regression Analysis to control the output parameters, such as tangential
force and change in temperature during grinding, by controlling the coolant flow rate,
infeed of wheel, and scraperboard positioning. The experiment is also conducted to
examine the effect of using a scraperboard on changing the grinding temperature. A Ktype thermocouple brazed beneath the workpiece surface and a force dynamometer are
used for measuring the grinding temperature and tangential force during
experimentation. Initially, a linear regression model is used to model force and change
in temperature. Next, ANOVA is used for response optimization for the grinding
process, where the objective is to minimize both output variables. From the
optimization, it is found that the use of a scraper board is very effective in minimizing
the tangential force and generated temperature during grinding.
Keywords: ANOVA, Grinding process, Industry 5.0, Modeling, Optimization, Scarper board.
