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Machine Injury Prediction by Simulation Using Human Models
Technical Paper
2003-01-2190
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper presents the results of a study using computer human modeling to examine machine appendage speed. The objective was to determine the impact of roof bolter machine appendage speed on the likelihood of the operator coming in contact with. A contact means two or more objects intersecting or touching each other, e.g., appendage makes contact with the operator’s hand, arm, head or leg. Incident investigation reports do not usually contain enough information to aid in studying this problem and laboratory experiments with human subjects are also not feasible because of safety and ethical issues. As an alternative, researchers developed a computer model approach as the primary means to gather data. By simulating an operator’s random behavior and machine’s appendage velocity, researchers can study potential hazards of tasks where it is not possible to perform experiments with human subjects.
Analysis information is helpful to the mining industry in terms of making recommendations that reduce the likelihood that roof-bolter operators experience injury due to contact with a moving boom. Data analysis of roof bolter simulations show that the virtual-operator’s response time has little effect on the number of contacts experienced. Based on frequency and cross-tabulation, regardless of other variables, contact incidents were always greater when the boom was moving up, were always greater on the palm, and were always greater for the boom part of the machine. Also, regardless of boom speed, the 25th-percentile-sized operators experienced more contacts than did other operator sizes. Furthermore, regardless of boom speed, the 152-cm mine seam experienced more contacts than did other seam heights tested. Results of a survival analytic approach suggest that controlling the boom speed is the most important factor in determining the risk of an operator making contact. Based on the data collected, boom speed greater than 41 cm/s results in a substantial increase in risk to the roof bolter operator and should probably be avoided. At speeds less than or equal to 25 cm/s are associated with a more modest relative risk, which represents an acceptable level of risk. Also, at speeds between 25 and 41 cm/s, there could be a particular boom speed in this range at which a significant inflection point in the relative risk estimates occurs. Based on the results, this issue needs to be addressed by future research.
Authors
- Dean H. Ambrose - National Institute of Occupational Safety and Health (NIOSH),Pittsburgh Research Laboratory
- John Bartels - National Institute of Occupational Safety and Health (NIOSH),Pittsburgh Research Laboratory
- Augie Kwitowski - National Institute of Occupational Safety and Health (NIOSH),Pittsburgh Research Laboratory
- Raymond F. Helinski - National Institute of Occupational Safety and Health (NIOSH),Pittsburgh Research Laboratory
- Sean Gallagher - National Institute of Occupational Safety and Health (NIOSH),Pittsburgh Research Laboratory
Citation
Ambrose, D., Bartels, J., Kwitowski, A., Helinski, R. et al., "Machine Injury Prediction by Simulation Using Human Models," SAE Technical Paper 2003-01-2190, 2003, https://doi.org/10.4271/2003-01-2190.Also In
References
- Ambrose, D.H. 2000 A simulation approach analyzing random motion events between a machine and its operator. Proceedings of the Society of Automotive Engineering International -Digital Human Modeling For Design and Engineering Conference Dearborn, MI June 6-8 SAE, International, Warrendale, PA, paper number 2000-01-2160 11
- Ambrose DH 2001 Random motion capture model for studying events between a machine and its operator. Proceedings of the Society for Modeling and Simulation International: Advanced Simulation Technology Conference Seattle WA April 22-26 1-56555-238-5 127 134
- Ambrose D.H. in preparation RI- Developing random virtual-human motions and risky behaviors for studying anthropotechnical systems National Institute of Occupational Safety and Health Pittsburgh Research Laboratory Pittsburgh Pa
- Ambrose D.H. Bartels J. Kwitowski A. Helinski R. F. Gallagher S. McWilliams L. in preparation IC-Roof bolting machine safety: a study of the drill boom vertical velocity National Institute of Occupational Safety and Health Pittsburgh Research Laboratory Pittsburgh Pa
- Bartels J. Kwitowski A. DuCarme J. Wang R. Human-machine interaction data for verification of roof bolter simulation models National Institute of Occupational Safety and Health Pittsburgh Research Laboratory Pittsburgh Pa
- Bartels J.R. Ambrose D.H. Wang R. 2001 Verification and validation of roof bolter simulation models for studying events between a machine and its operator. Proceedings of the Society of Automotive Engineering International-Digital Human Modeling For Design and Engineering Conference Alexandria, VA June 26-28 SAE, International, Warrendale, PA, paper number 2001-01-2088 13
- Humantech, Inc staff 1996 Ergonomic design guidelines for engineers manual 179
- MSHA Staff 1994 Coal Mine Safety and Health Roof-Bolting-Machine Committee: Report of findings MSHA - Roof Bolting Safety, Coal Mine Safety and Health, Division of Safety Arlington, VA. 28
- Klishis, M. J. Althous, R. C. Layne, L. A. Lies G. M. 1993a A manual for improving safety in roof bolting Mining Extension Service West Virginia University August 143
- Klishis M. J. et. al. 1993b Coal mine injury analysis: a model for reduction through training, Mining Extension Service West Virginia University August 220
- Turin F. C. 1995 RI 9568 Human factors analysis of roof bolting hazards in underground coal mines Bureau of Mines publication September 22
- Volberg O. Ambrose D.H. 2002 Motion editing and reuse techniques and their role in studying events between a machine and operator. San Diego CA: Presentation and Proceedings of the Society of Computer Simulation International (SCS) Advance Simulation Technologies Conference 2002 181 186 1-56555-248-2