ApOL-Application Oriented Workload Model for Digital Human Models for the Development of Human-Machine Systems
Author:
Sänger Johannes1ORCID, Wirth Lukas1, Yao Zhejun2, Scherb David3ORCID, Miehling Jörg3, Wartzack Sandro3ORCID, Weidner Robert24ORCID, Lindenmann Andreas1ORCID, Matthiesen Sven1ORCID
Affiliation:
1. IPEK-Institute of Product Engineering, Karlsruhe Institute of Technology (KIT), Kaiserstraße 10, 76131 Karlsruhe, Germany 2. Laboratory of Manufacturing Technology, Helmut-Schmidt University Hamburg (HSU), Holstenhofweg 85, 22043 Hamburg, Germany 3. Engineering Design, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Martensstraße 9, 91058 Erlangen, Germany 4. Chair for Production Technology, Institute of Mechatronics, University of Innsbruck (UIBK), Technikerstraße 13, 6020 Innsbruck, Austria
Abstract
Since musculoskeletal disorders are one of the most common work-related diseases for assemblers and machine operators, it is crucial to find new ways to alleviate the physical load on workers. Support systems such as exoskeletons or handheld power tools are promising technology to reduce the physical load on the humans. The development of such systems requires consideration of the interactions between human and technical systems. The physical relief effect of the exoskeleton can be demonstrated in experimental studies or by simulation with the digital human model (DHM). For the digital development of these support systems, an application-oriented representation of the workload is necessary. To facilitate digital development, an application-oriented workload model (ApOL model) of an overhead working task is presented. The ApOL model determines the load (forces, torques) onto the DHM during an overhead screw-in task using a cordless screwdriver, based on experimental data. The ApOL model is verified by comparing the simulated results to the calculated values from a mathematical model, using experimental data from three participants. The comparison demonstrates successful verification, with a maximum relative mean-absolute-error (rMAE) of the relevant load components at 11.4%. The presented ApOL model can be utilized to assess the impact of cordless screwdriver design on the human workload and facilitate a strain-based design approach for support systems e.g., exoskeletons.
Funder
German Research Foundation
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Optimization,Mechanical Engineering,Computer Science (miscellaneous),Control and Systems Engineering
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