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Sustainable 3D Printing: Design Opportunities and Research Perspectives Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Prediction of Human Maximum Forces – A Comparison of Four Approaches to Calculate Muscle-Torque

Authors : André Kaiser, Angelika C. Bullinger

Published in: Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping

Publisher: Springer International Publishing

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Abstract

Analyses of human action forces is a standard function of current digital human models. However, research has been indicating that this feature needs to be improved as it lacks accuracy. Muscle-torque based modeling can be used to calculate action forces. Because it is not efficient to measure torques in all spatial directions, different calculating approaches have been developed. The question is which one is the best to calculate action forces? In this paper, we will therefor explain four different calculations - a spherical, linear, independent and fluid approach. To compare their quality, a study based on 366 measurements of maximum torques has been conducted. Results show that the spherical approach predicts maximum muscle torques to about 1.7% accuracy. The fluid approach increases the accuracy significantly (R2 0.9), but needs more input data. Hence, a mix using both approaches is proposed as the best solution to calculate action forces in digital human models.

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Literature
1.
Muehlstedt, J.: Entwicklung eines Modells dynamisch-muskulaerer Arbeitsbeanspruchung auf Basis digitaler Menschmodelle. Chemnitz University of Technology (2012)
2.
Spitzhirn, M., Kaiser, A., Bullinger, A.C.: Virtual aging. In: Bullinger, A.C. (ed.) 3D Sensation, pp. 236–251. Verlag aw&I Wissenschaft und Praxis, Chemnitz (2016)
3.
Wischniewski, S.: Digitale Ergonomie 2025. In: BAuA (eds.) Forsch. Projekt F 2313 (2013)
4.
Mital, A., Kumar, S.: Human muscle strength definitions, measurement and usage: Part I. Int. J. Ind. Ergon. 22, 101–121 (1998)CrossRef
5.
Rohmert, W., Berg, K., Bruder, R., Schaub, K.H.: Kraefteatlas. In: BAuA (eds.) Schriftenreihe der BAuA (Fb 09.004). Wirtschaftsverlag NW, Bremerhaven (1994)
6.
Guenzkofer, F.: Kraefte. In: Bubb, H., Bengler, K., Gruenen, R.E., Vollrath, M. (eds.) Automobilergonomie, pp. 199–208. Springer, Wiesbaden (2015)
7.
Schultetus, W.: Montagegestaltung. In: Lange, W., Doerken, W. (eds.) Praxis der Ergonomie, vol. 2. Verlag TUEV Rheinland, Koeln (1987)
8.
Kaiser, A., Spitzhirn, M., Bullinger, A.C.: Joint angle depending representation of maximum forces in digital human models. In: Schlick, C.M., et al. (eds.) Advances in Ergonomic Design of Systems, Products and Processes, pp. 349–366. Springer, Berlin (2017)
9.
DIN EN 1005-3.: Sicherheit von Maschinen – Menschliche koerperliche Leistung. Teil 3: Empfohlene kraftgrenzen bei Maschinenbetaetigung. Beuth Verlag, Berlin (2009)
10.
DIN 33411-5.: Maximale statische Aktionskraefte, Werte. Beuth Verlag, Berlin (1999)
11.
DIN 33411-3.: Maximal erreichbare statische Aktionsmomente maennlicher Arbeitspersonen an Handraedern. Beuth Verlag, Berlin (1986)
12.
Ruehmann, H.: Isometrische Stellungskraefte an Stellteilen und Betriebsmitteln. In: Schmidtke, H. (ed.) Ergonomie, vol. 3, pp. 485–492. Carl Hanser Verlag, Muenchen (1993)
13.
14.
Wakula, J., Berg, K., Schaub, K.H., Bruder, R., Glitsch, U., Ellegast, R.: Der montagespezifische Kraftatlas. In: DGUV (eds.) BGIA-Report 03/2009 (2009)
15.
Schoenherr, R.: Simulationsbasierte Absicherung der Ergonomie mit Hilfe digital beschriebener menschlicher Bewegungen. Chemnitz University of Technology (2013)
16.
Kamusella, C., Scherstjanoi, E., Schmauder, M.: Ergotyping®-Tools fuer Ergonomieuntersuchungen. In: Bullinger, A.C., Muehlstedt, J. (eds.) Homo Sapiens Digitalis (2016)
17.
DIN 33411-4: Maximale statische Aktionskraefte (Isodynen). Beuth Verlag, Berlin (1987)
18.
Waters, T.R., Putz-Anderson, V., Garg, A., Fine, L.J.: Revised NIOSH equation for the design and evaluation of manual lifting tasks. Ergonomics 36(7), 749–776 (1993)CrossRef
19.
Muehlstedt, J.: Digitale Menschmodelle. In: Bullinger, A.C., Muehlstedt, J. (eds.) Homo Sapiens Digitalis, pp. 72–182. Springer, Wiesbaden (2016)
20.
Guenzkofer, F.: Elbow strength modelling for digital human models. Muenchen University of Technology, Verlag Dr. Hut., Muenchen (2013)
21.
Chaffin, D.B., Andersson, G.B.J., Martin, B.J.: Occupational Biomechanics. Wiley, New York (2006)
22.
Bober, T., Kulig, K., Burnfield, J.M., Pietraszewski, B.: Predictive torque equations for joints of the extremities. Acta Bioeng. Biomech. 4(2), 49–60 (2002)
23.
Seitz, T., Recluta, D., Zimmermann, D., Wirsching, H.-J.: FOCOPP. In: Proceedings of the SAE DHMC (Digital Human Modeling Conference) (2005)
24.
Schwarz, W.: 3D‐Video‐Belastungsanalyse: E. n. A. z. Kraft‐ u. Haltungsanalyse (1997)
25.
Schaefer, P., Rudolph, H., Schwarz, W.: Digital man models and physical strength – a new approach in strength simulation (No. 2000-01-2168). SAE Technical paper (2000)
26.
Guenzkofer, F.: Muskulatur. In: Bubb, H., Bengler, K., Gruenen, R.E., Vollrath, M. (eds.) Automobilergonomie, pp. 173–178. Springer, Wiesbaden (2015)
27.
Schaefer, P., Rudolph, H., Schwarz, W.: Variable force limits for optional target populations. In: Proceedings of the 13th IEA Conference, Tampere, pp. 533–535 (1997)
28.
Kajaks, T., Stephens, A., Potvin, J.R.: The effect of manikin anthropometrics and posturing guidelines. Int. J. Hum. Factors Model. Simul. 2(3), 236–253 (2011)
29.
Chiang, J., Stephens, A., Potvin, J.: Retooling Jack’s static strength prediction tool (No. 2006-01-2350). SAE Technical paper (2006)
30.
Clarke, H.H.: Muscular Strength and Endurance in Man. Prentice-Hall, Englewood Cliffs (1966)
31.
Shippen, J., May, B.: BoB – biomechanics in MATLAB. BIOMDLORE. In: 11th International Conference. Druskininkai. VGTU Press, Lithuania (2016)
32.
Stelzner, G.: Zur Modellierung und Simulation biomechanischer Mehrkoerpersysteme. Karlsruhe University, Universitaetsverlag, Karlsruhe (2009)
33.
Hill, A.V.: The heat of shortening and the dynamic constants of muscle. Proc. R. Soc. London B: Biol. Sci. 126(843), 136–195 (1938)CrossRef
34.
Bernstein, N.A.: The Co-Ordination and Regulation of Movements. Pergamon, Oxford (1967)
35.
Rasmussen, J., Damsgaard, M., Voigt, M.: Muscle recruitment by the min/max criterion—a comparative numerical study. J. Biomech. 34(3), 409–415 (2001)CrossRef
36.
Rasmussen, J., Vondrak, V., Damsgaard, M., De Zee, M., Christensen, S.T., Dostal, Z.: The anybody project. Biomechanics of Man, pp. 270–274 (2002)
37.
Delp, S.L., Loan, J.P.: A computational framework for simulating and analyzing human and animal movement. Comput. Sci. Eng. 2(5), 46–55 (2000)CrossRef
38.
Liu, Y.S., Tsay, T.S., Chen, C.P., Pan, H.C.: Simulation of riding a full suspension bicycle for analyzing comfort and pedaling force. Procedia Eng. 60, 84–90 (2013)CrossRef
39.
Abdel-Malek, K., Arora, J.: Physics-based digital human modeling. In: Duffy, V.G. (ed.) Handbook of Digital Human Modeling, pp. 5-1–5-33 (2008)
40.
Engstler, F.: Perzentilierung maximaler Gelenkmomente des Menschen. Muenchen University of Technology, Verlag Dr. Hut., Muenchen (2012)
41.
Metadata
Title
Prediction of Human Maximum Forces – A Comparison of Four Approaches to Calculate Muscle-Torque
Authors
André Kaiser
Angelika C. Bullinger
Copyright Year
2020
Book
Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping

Print ISBN: 978-3-030-20215-6

Electronic ISBN: 978-3-030-20216-3

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-20216-3_46

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