An Optimization Method of Precision Assembly Process Based on the Relative Entropy Evaluation of the Stress Distribution

Abstract

The entropy evaluation method of assembly stress has become a hot topic in recent years. However, the current research can only evaluate the maximum stress magnitude and stress magnitude uniformity, and it cannot evaluate the stress position distribution. In this paper, an evaluation method of stress distribution characterized by strain energy density distribution is proposed. In this method, the relative entropy is used as the evaluation index of the stress distribution difference between the error model and the ideal model. It can evaluate not only the stress magnitude, but also the stress position. On this basis, an optimization method of the precise assembly process which takes the relative entropy as the optimization objective is proposed. The stress distributions of the optical lens are evaluated, and the assembly angle of the spacer in the process of the optical lens system assembly is optimized. By comparing the stress distribution of the optimized model and the ideal model, the validity of this method is proved.

Smart Evaluation of Green Campus Sustainability Considering Energy Utilization

“…These methods are mostly influenced by subjective factors and cannot fully guarantee the objectivity of the green campus sustainability assessment process and results [16]. The objective evaluation methods also only consider the degree of variation of indicators in the overall index and the degree of influence on other indicators and fail to assign different weights to different assessment objects [17]. Therefore, this paper introduces the self-learning comprehensive evaluation method, which is the application of self-learning techniques in evaluation.…”