Abstract
Assembly accuracy and accuracy stability prediction are significant research directions for improving the reliability and efficiency of precision assembly. In this study, an improved method for assembly accuracy stability prediction, based on the contact-pressure distribution entropy, is presented. By using the contact-pressure distribution as the evaluation parameter instead of the strain-energy distribution, the improved method can not only predict the assembly accuracy of precision assembly more efficiently, but also predict the stability of the assembly accuracy with variations in the ambient temperature. The contact pressure has a clearer mechanical significance than strain energy density in the assembly process, which can be used to distinguish the actual contact area from the contact surface. Hence, the improved method is more efficient and accurate than the original. This study utilizes the same case used in the original method and an additional case from the actual production process to verify the improved method. The correctness and validity of the improved method are proved by these case studies.
Highlights
Precision assembly is an important research direction in the field of precision mechanical systems, which is receiving increasing attention from researchers
The main difference is the change of the evaluation parameter used for calculating the entropy, from contact strain energy to contact pressure
It can be seen that the contact pressure is zero in the center of the surface, but there is an uneven distribution of the contact strain energy in the corresponding area
Summary
Precision assembly is an important research direction in the field of precision mechanical systems, which is receiving increasing attention from researchers. As the assembly accuracy significantly affects the performance of precision equipment, it is crucial to evaluate the assembly quality. For mostly contact-based assemblies, the assembly accuracy can be described as the relative positional relationship between two assembled parts. As the two assembled parts are further deformed due to changes in the ambient temperature or in the external force, the assembly accuracy of the parts will change that is, the assembly accuracy is unstable. Error is the most direct reflection of the assembly accuracy, and is extensively used for evaluating it. Finding a suitable method to quantitatively evaluate assembly-error variation can significantly improve the reliability of precision assembly
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