Digital platform for the control and optimisation of grinding processes

Abstract

This article describes the development and application of a digital platform for the control and optimization of grinding processes. The tool combines advanced analytical models, process monitoring and data processing to develop a digital twin that simulates process behavior and predicts part quality and integrity under any operating condition and state. Monitoring information is obtained through internal sensors of the grinding machines, such as force, power and drive speed signals. One of the main novelties of this tool is the analytical thermal modeling of the process, which allows predicting and preventing damage in its early stages of appearance in the form of tempering. In addition, different types of indicators and functionalities of the tool are shown, which allow ensuring the quality and integrity of the parts and increasing efficiency and productivity quickly and easily. Overall, this tool allows improving the efficiency and quality of the grinding process, reducing production costs and minimizing environmental impact by reducing energy consumption and material waste.