Simulation experiment analysis of micro servo mechanism

Qingwen Tan; Wei Sun

doi:10.1117/12.2638713

20 September 2022 Simulation experiment analysis of micro servo mechanism

Qingwen Tan, Wei Sun

Proceedings Volume 12261, International Conference on Mechanical Design and Simulation (MDS 2022); 1226151 (2022) https://doi.org/10.1117/12.2638713
Event: Second International Conference on Mechanical Design and Simulation (MDS 2022), 2022, Wuhan, China

Abstract

Parkinson's disease is considered uncontrollable in many countries and has life-threatening effects, such as difficulty in eating effectively and impairing limb grasping, which further leads to emotional depression and isolation. However, the micro servo motor is the engine that controls the operation of mechanical elements in a servo system and is a common subsidy motor indirect variable-speed device that is inexpensive, stable and widely available in the control field. It has the ability to follow the input target (or a given value) arbitrarily, including brushed and brushless motors, and has been widely studied in the industry. In this paper, some parts of micro servo motor in anti-shake spoon for Parkinson's disease patients are analyzed. Involute gears and ball bearings. Fatigue life, contact stresses and maximum deformation, determination of the best conditions (force values, operating strength, product life) for using components, and comparison of finite element simulation results and experimental results (errors, advantages and disadvantages). The research results in this paper show that finite element simulation analysis is a very advantageous and rapid data acquisition method, which can guide product development and shorten the development cycle. However, more research on friction factors, human factors engineering and related issues is needed in order to achieve it in Parkinson's spoons.

Citation Download Citation

Qingwen Tan and Wei Sun "Simulation experiment analysis of micro servo mechanism", Proc. SPIE 12261, International Conference on Mechanical Design and Simulation (MDS 2022), 1226151 (20 September 2022); https://doi.org/10.1117/12.2638713

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