ApOL-application oriented workload model for digital human models for the development of human-machine systems

Sänger, Johannes; Wirth, Lukas; Yao, Zhejun; Scherb, David; Miehling, Jörg; Wartzack, Sandro; Weidner, Robert; Lindenmann, Andreas; Matthiesen, Sven

doi:10.3390/machines11090869

ApOL-application oriented workload model for digital human models for the development of human-machine systems

Publication date

2023-08-29

Document type

Forschungsartikel

Author

Sänger, Johannes

Wirth, Lukas

Yao, Zhejun

Scherb, David

Miehling, Jörg

Wartzack, Sandro

Weidner, Robert

Lindenmann, Andreas

Matthiesen, Sven

Organisational unit

Fertigungstechnik

DOI

10.3390/machines11090869

URI

https://openhsu.ub.hsu-hh.de/handle/10.24405/22625

Publisher

MDPI

Series or journal

Machines

ISSN

2075-1702

Periodical volume

11

Periodical issue

9

Article ID

869

Peer-reviewed

✅

Part of the university bibliography

✅

Language

English

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.

Description

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Version

Published version

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