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Layout Design using an Optimization-Based Human Energy Consumption Formulation
ISSN: 0148-7191, e-ISSN: 2688-3627
Published June 15, 2004 by SAE International in United States
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An optimization-based method for layout design (also called equipment layout) is presented that is based upon kinetic functions also introduced in this paper. The layout problem is defined by the method whereby positions of target points are specified in the environment surrounding a human. The problem is of importance to ergonomists, vehicle/cockpit packaging engineers, designers of manufacturing assembly lines, and designers concerned with the placement of lever, knobs, and controls in the reachable workspace of a human, but also to users of digital human modeling code, where digital prototyping has become a valuable tool. The method comprises kinematically-driven constraints for reaching the target points and for satisfying the joint ranges of motion. The algorithm is driven by a cost function (also called objective function) that is kinetic in nature to minimize approximate energy consumption and visual discomfort. The formulation is not restricted by the number of degrees of freedom used to model the upper extremity or by the number of target points. A commercially available optimization code is used to implement the algorithm and to yield global optimum solutions. The method is demonstrated using a 15 degree-of-freedom model of the upper extremity. It is indeed shown that this method yields the most comfortable regions in space for a particular anthropometric model and for one or more cost function(s).
- Joo H. Kim - Virtual Soldier Research (VSR) Program, Center for Computer Aided Design, The University of Iowa
- Karim Abdel-Malek - Virtual Soldier Research (VSR) Program, Center for Computer Aided Design, The University of Iowa
- Zan Mi - Virtual Soldier Research (VSR) Program, Center for Computer Aided Design, The University of Iowa
- Kyle Nebel - U.S. Army TACOM/RDECOM
CitationKim, J., Abdel-Malek, K., Mi, Z., and Nebel, K., "Layout Design using an Optimization-Based Human Energy Consumption Formulation," SAE Technical Paper 2004-01-2175, 2004, https://doi.org/10.4271/2004-01-2175.
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