Disassembly task evaluation by muscle fatigue estimation in a virtual reality environment

Jingtao Chen (1, 2, 3) , Peter Mitrouchev (1) , Sabine Coquillart (2) , Franck Quaine (3)

1 G-SCOP_SIREP - Système d’Information, conception RobustE des Produits
2 PERVASIVE - Interaction située avec les objets et environnements intelligents
3 GIPSA-SAIGA - GIPSA - Signal et Automatique pour la surveillance, le diagnostic et la biomécanique

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.

Mots clés: Virtual reality environment; Muscle fatigue; Mechanical energy; Disassembly sequences evaluation; Muscle metabolic energy

Domaines: Sciences de l'ingénieur [physics]; Mécanique [physics.med-ph]; Biomécanique [physics.med-ph]; Synthèse d'image et réalité virtuelle [cs.GR]

Jingtao Chen, Peter Mitrouchev, Sabine Coquillart, Franck Quaine. Disassembly task evaluation by muscle fatigue estimation in a virtual reality environment. International Journal of Advanced Manufacturing Technology, 2017, 88 (5-8), pp.1523-1533. ⟨10.1007/s00170-016-8827-6⟩. ⟨hal-01676643⟩