ROJul 19, 2019

Automatic mobility analysis of parallel mechanisms: an algorithm approach based on position and orientation characteristic equations

arXiv:1907.08428v14 citations
Originality Synthesis-oriented
AI Analysis

This provides an automated tool for engineers designing and optimizing mechanical systems, though it appears incremental as it builds on existing POC theory.

The paper tackled the problem of automatically determining the mobility of parallel mechanisms by developing a systematic algorithm based on position and orientation characteristic equations, resulting in a software platform that analyzes and displays mobility properties from user-input topological data.

The determination of the mobility of parallel mechanisms (PM) is a fundamental problem. An automatic and intelligent analysis platform will be a significant tool for the design and optimization of mechanical systems. Based on the theory of position and orientation characteristics (POC) equations, a systematic approach to computer-aided mobility analysis of PMs is presented in this paper. First, a digital model for topological structures which has a mapping relationship with position and orientation characteristics of mechanism is proposed. It describes not only the dimension of the motion output, but also gives the mapping relationship between the output characteristic and the axis of the kinematic joints. Secondly, algorithmic rules are established that convert the union and intersection operations of POC into the binary logical operations and the automatic analysis of POC are realized. Then, the algorithm of the automatic mobility analysis of PMs and its implementation with VC++ are written .The mobility and its properties (POC) will also be analyzed and displayed automatically after introducing by users of the data of topological structures representation. Finally, typical examples are provided to show the effectiveness of the software platform.

Foundations

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