Disassembly task evaluation by muscle fatigue estimation in a virtual reality environment
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- 作者：Jingtao Chen ; Peter Mitrouchev…
- 关键词：Disassembly sequences evaluation ; Muscle metabolic energy ; Mechanical energy ; Muscle fatigue ; Virtual reality environment
- 刊名：The International Journal of Advanced Manufacturing Technology
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：88
- 期：5-8
- 页码：1523-1533
- 全文大小：
- 刊物类别：Engineering
- 刊物主题：Industrial and Production Engineering; Media Management; Mechanical Engineering; Computer-Aided Engineering (CAD, CAE) and Design;
- 出版者：Springer London
- ISSN：1433-3015
- 卷排序：88
文摘
Today, disassembly operations play a very important role during the initial design phase of industrial products considering the role played by these operations throughout the product life cycle. Current simulation platforms do not offer the necessary information and versatility required for a complete disassembly process simulation, including human/operator physiological data management. The paper deals with a new method for disassembly sequence evaluation. It is based on metabolic energy expenditure and muscle fatigue estimation. For this purpose, the analytical model for mechanical energy expenditure is proposed. In this model, the required mechanical work is used as a parameter that allows comparing the relationships among fatigue levels when performing disassembly sequences. Then, the fatigue levels are evaluated by analyzing the recorded electromyography signal on an operator’s arm. The proposed method is validated by a set of experimental disassembly tests performed in a virtual reality environment. The comparison of the analytical and experimental results has shown good correlation between them. The main result of this study is the proposed model for assessing muscle fatigue and its validation by experimental procedure. The proposed method provides the feasibility to integrate human muscle fatigue into disassembly sequence evaluation via mechanical energy expenditure when performing disassembly operation simulations.