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Proceedings of CAD'17, 2017, 400-404
CAD Feature Recognition as a Means to Prevent Ergonomics Issues during Manual Assembly Tasks

Marco Marconi, Michele Germani, Università Politecnica delle Marche
Claudio Favi, Roberto Raffaeli, Università degli Studi eCampus

Abstract. In the last three decades, feature-based computer-aided systems have been developed in the field of solid modelling. Several research activities have been done in this field, such as the definition of algorithms, methods and tools for the automatic recognition of features from 3D solid models. Feature recognition algorithms seek to recognize aggregates of entities with a clear design meaning, such as pockets, holes, fillets, etc., from the B-Rep representation. Feature recognition algorithms can be divided in: (i) graph-based approaches, (ii) volumetric decomposition approaches, and (iii) hint-based approaches. Most of the applications based on feature recognition focus on the machining/processing domain in order to support the process and assembly planning. This paper intends to extend the use of feature recognition as a means to improve the product assemblability and to prevent ergonomics issues associated to the manual assembly tasks (e.g. the Work-related Musculoskeletal Disorders - WMSDs). The prevention of WMSDs is an important goal to achieve for the modern society: (i) to maintain young workers’ capability, (ii) to ensure older workers a healthy working life, (iii) to avoid workers’ substitution when absent for WMSD disturbs, (iv) to avoid workers’ reallocation when affected by WMSDs, and (v) to avoid workers’ complaints.

Keywords. Feature recognition, Virtual product model, Manual assembly, Ergonomics

DOI: 10.14733/cadconfP.2017.400-404