Abstract
Previous study demonstrated that a single-degree-of-freedom mechanical model can represent a human power tool operator subjective to impulsive torque reactions. Using only novice tool users, it was shown that the mechanical capabilities to respond to tool torque reaction depended on workstation location and orientation, and varied among users (Lin, Radwin, & Richard, 2000). It was hypothesized that the mechanical model elements among experienced tool operators may be different from novice users. A laboratory study was carried out to measure the equivalent mechanical parameters among the novice and experienced tools users. The results demonstrate the difference between the two groups. Those may represent the strategy developed by the experienced users to minimize the impacts from the impulsive torque reactions.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Aruin, A.S., Zatsiorsky, V.M.: Biomechanical characteristics of the human ankle joint muscles. European Journal of Applied Physiology and Occupational Physiology 52, 400–406 (1984)
Hansson, J.-E., Kihlberg, S.: A test rig for the measurement of vibration in hand-held power tools. Applied Ergonomics 14(1), 11–18 (1983)
Hogan, N.: Mechanical impedance of single- and multi-articular systems. In: Winters, J.M., Woo, S.L.-Y. (eds.) Multiple Muscle Systems, pp. 149–164. Springer, New York (1990)
Hunter, I.W., Kearney, R.E.: Dynamics of human ankle stiffness: variation with mean ankle torque. Journal of Biomechanics 15(10), 747–752 (1982)
Kearney, R.E., Hunter, I.W.: System identification of human joint dynamics. Critical Reviews In Biomedical Engineering 18, 55–87 (1990)
Lacquaniti, F., Licata, F., Soechting, J.F.: The mechanical behaviour of the human forearm in response to transient perturbations. Biological Cybernetics 44, 35–46 (1982)
Lin, J.-H., McGorry, R.W., Chang, C.-C., Dempsey, P.G.: Effects of user experience, working posture and joint hardness on powered nutrunner torque reactions. Ergonomics 50, 859–876 (2007)
Lin, J.-H., Radwin, R.G., Richard, T.G.: Development and validation of a dynamic biomechanical model for power hand tool torque build-up reaction force. In: Proceedings of the Human Factors and Ergonomics Society 44th Annual Meeting, pp. 295–312. HFES, Santa Monica (2000)
Lin, J.-H., Radwin, R.G., Richard, T.G.: Dynamic biomechanical model of the hand and arm in pistol grip power handtool usage. Ergonomics 44(3), 295–312 (2001)
Lin, J.-H., Radwin, R.G., Richard, T.G.: A single degree-of-freedom dynamic model predicts the range of human responses to impulsive forces produced by power hand tools. Journal of Biomechanics 36, 1845–1852 (2003)
Lindqvist, B.: Torque reaction in angled nutrunners. Applied Ergonomics 24(3), 174–180 (1993)
Reynolds, D.D., Soedel, W.: Dynamic response of the hand-arm system to a sinusoidal input. Journal of Sound and Vibration 21(3), 339–353 (1972)
Rockwell, T.H., Marras, W.S.: An evaluation of tool design and method of use of railroad leverage tools on back stress and tool performance. Human Factors 28(3), 303–315 (1986)
Zawadzki, J., Kornecki, S.: Influence of joint angle and static tension of muscles on dynamic parameters of the elbow joint. In: de Groot, G., Hollander, A.P., Huijing, P.A., van Ingen Schenau, G.J. (eds.) International Series on Biomechanics: Biomechanics XI-A, pp. 94–100. Free University Press, Amsterdam (1988)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lin, JH., McGorry, R.W., Chang, CC. (2011). Dynamic Power Tool Operation Model: Experienced Users vs. Novice Users. In: Duffy, V.G. (eds) Digital Human Modeling. ICDHM 2011. Lecture Notes in Computer Science, vol 6777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21799-9_44
Download citation
DOI: https://doi.org/10.1007/978-3-642-21799-9_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21798-2
Online ISBN: 978-3-642-21799-9
eBook Packages: Computer ScienceComputer Science (R0)