Advancements in Grinding Technology: Enhancing Precision and Efficiency in Modern Manufacturing

The development of a systematic set-up to monitor wheel loading and dressing at low cost with essential clarity and durability was required to overcome the difficulties of experience-based condition monitoring of the grinding process.Methods based on machine vision and infrared (IR) have been developed for monitoring grinding wheel loading and dressing in this study effort, with a low cost in mind.Aluminium Oxide (Al2O3) and Silicon Carbide (SiC) were utilised as wheel materials, while HCHCr steel and mild steel were selected as workpiece materials since they are frequently used in industries.Experiments on the influence of different grinding wheel and work-piece materials on the output of the monitoring system have also been conducted.The percentage of error in monitoring the grinding wheel loading through machine vision technique varies from 9.2 percent to 10.2 percent with respect to change in the job material, and change in the grinding wheel material varies from -11.8 percent to 10.2 percent, which is less significant to make any further change in the output.