Abstract
The assembly process is sometimes blocked due to excessive dimension deviations during large-scale assembly. It is inefficient to improve the assembly quality by trial assembly, inspection, and accuracy compensation in the case of excessive deviations. Therefore, assemblability prediction by analyzing the measurement data, assembly accuracy requirements, and the pose of parts is an effective way to discover the assembly deviations in advance for measurement-assisted assembly. In this paper, a coordination space model is constructed based on a small displacement torsor and assembly accuracy requirements. An assemblability analysis method is proposed to check whether the assembly can be executed directly. Aiming at the incoordination problem, an assemblability optimization method based on the union coordination space is proposed. Finally, taking the space manipulator assembly as an example, the result shows that the proposed method can improve assemblability with a better assembly quality and less workload compared to the least-squares method.
Highlights
Large-scale mechanical products like ships, automobiles, aircrafts, etc. are complex in structure, large in size, and accurate in assembly quality
(2) An assemblability analysis method based on the measurement data and the coordination space model is proposed for predicting the key assembly deviations
The space manipulator assembly is taken as an example
Summary
Large-scale mechanical products like ships, automobiles, aircrafts, etc. are complex in structure, large in size, and accurate in assembly quality. An assemblability analysis and optimization method based on the measurement data is necessary to predict the assembly deviation and make the accuracy compensation in advance. Yuan et al [10] proposed an assembly quality assessment method based on weighted geometric constraints to calculate the optimal pose. Finite element analysis was taken to improve the shimming scheme Those methods, need to be assembled first, followed by measurement of the deviations to be compensated, resulting in a lower efficiency. An assemblability analysis and optimization method based on the coordination space model is constructed during measurement-assisted large-scale assembly.
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