Semantic-Based Assembly Precision Optimization Strategy Considering Assembly Process Capacity

Xiaolin Shi,Gangfeng Wang,Xitian Tian,Dongping Zhao

doi:10.3390/machines9110269

Xiaolin Shi, Gangfeng Wang + Show 2 more

Open Access

https://doi.org/10.3390/machines9110269

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Abstract

Assembly precision optimization is an important means to ensure product accuracy, including two aspects: on the one hand, the relevant deviations of out-of-tolerance key characteristics are reduced to the design tolerance range; on the other hand, the deviation fluctuation range of key characteristics with a large process capability index (Cp) can be extended to achieve the balance between accuracy, process capacity, and production cost. By virtue of the accumulated experience, a fast solution can be provided for the out-of-tolerance problem. Therefore, a semantic-based assembly precision optimization method considering process capacity is proposed in this paper. By constructing an ontology model between Cp and optimization strategy, a reasonable assembly precision optimization strategy can be pushed based on product accuracy analysis results. Firstly, an assembly precision optimization semantic model is established by association between analysis results, out-of-tolerance key characteristics, assembly process, and tolerance adjustment defined with Web Ontology Language (OWL) assertions. Furtherly, according to different Cp corresponding to different assembly success rates, Semantics Web Rule Language (SWRL) rules based on Cp are constructed to the push optimization strategy. Finally, the effectiveness of the model is illustrated by an aircraft inner flap.

Highlights

With the increasingly fierce competition in the global market environment, product quality has attracted more and more attention and become the core competitiveness of products, which is related to whether enterprises can win the competition and market share in the end [1,2]
It is of great significance to use the empirical knowledge/data corresponding to different precision analysis results to guide assembly precision optimization
A semantic-based assembly precision optimization strategy considering the assembly process capacity approach is proposed in this paper

Summary

Introduction

With the increasingly fierce competition in the global market environment, product quality has attracted more and more attention and become the core competitiveness of products, which is related to whether enterprises can win the competition and market share in the end [1,2]. According to the results of assembly precision analysis, design tolerance, assembly tolerance, and positioning tolerance, as well as assembly process parameters such as assembly sequence, positioning mode and positioning datum are optimized to achieve product assembly meeting precision requirements at a low manufacturing cost. Machines 2021, 9, 269 tolerance with assembly cost and quality as optimization objectives and improved product assembly precision to a certain extent. There are many factors that affect the assembly precision, so it is difficult to establish an accurate precision optimization model in the assembly stage In this case, it is of great significance to use the empirical knowledge/data corresponding to different precision analysis results to guide assembly precision optimization. A semantic-based assembly precision optimization strategy considering the assembly process capacity approach is proposed in this paper.

Assembly Precision Optimization Based on Process Capability

Assembly Precision Optimization Principle

Design Requirements Assembly Capacity

Findings

Case Study