Digital twin technology offers the advantage of monitoring the status of equipment, systems, and more in a virtualenvironment, allowing validation through simulation. This technology has found numerous applications in the industrialrobotics field, dri...
Digital twin technology offers the advantage of monitoring the status of equipment, systems, and more in a virtualenvironment, allowing validation through simulation. This technology has found numerous applications in the industrialrobotics field, driven by recent advancements in the manufacturing industry. Consequently, predicting machining qualityusing digital twin technology is imperative for ensuring high-quality processed goods. In this study, we developed a digitaltwin program based on a cutting-force physical model and created a performance enhancement module that allows thevisualization of material removal for user convenience. The predicted cutting forces from both conventional CNC and thephysical model demonstrate a high accuracy of within 2%. Within the digital twin environment, the error rate for the roboticdrilling process is 13.5%. Building upon this, we developed and validated a module for material removal visualization,aiming to increase convenience for on-site operators.