Papers by Keyword: Digital Machining

Abstract: Based on a cutting dynamics model, a new digital machining process model that integrates workpiece quality and machining condition information is proposed, and the mapping relationship between machine tool structural dynamics and product quality information (e.g., dimension error, surface shape) is analyzed in detail. On the basis of the digital machining process model, the condition monitoring and fault diagnosis method of the machining process is investigated, and an implementation flowchart of the method is proposed with explanations of critical techniques. Finally, the proposed model is applied to the condition monitoring and fault diagnosis of the machining process of a CNC end milling machine. The damage of its spindle bearing is detected successfully, which provides the proof for the root cause identification of machining error in the digital machining process.

Abstract: The main body of grinding knowledge comes from the experiments done by independent investigators. If such experimental results are not made both human- and machine-comprehensible from the very beginning, then it would be difficult to reuse the results using a computerized network or any other means. In this respect, intelligent systems are needed to create human- and machine-comprehensible models of important results like 3D surface finish, cutting force, tool wear, etc. From this perspective, this paper describes a method for modeling and simulation of 3D surface finish of grinding. A human-friendly simulation tool is developed to implement the method. The simulation result is compared with the real 3D surface finish and a close correlation is found. The presented model can be integrated with the collaborative machining networks for better utilization of grinding resources using computers (e.g., condition monitoring, process planning, automation) and even using humans (e.g., effective exchange of information among peers in the research community and in the industry).