Browsing by Author "Stein, J. L."
Now showing items 1-20 of 21
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Conference Object
An Algorithm for the Selection of Physical System Model Order Based on Desired State Accuracy and Computational Efficiency
Sendur, P.; Peng, H.; Stein, J. L.; Louca, Loucas S. (American Society of Mechanical Engineers (ASME), 2003)In recent years, algorithms have been developed to help automate the production of dynamic system models, The focus of this development has been to create procedures and algorithms that use modeling metrics for generating ...
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Article
Atemplate-based modeling approach for system design: Theory and implementation
Stein, J. L.; Louca, Loucas S. (1996)Previous research has developed search algorithms for deducing Proper Models (minimum complexity models with physically meaningful parameters) of dynamic systems. It has also been proposed that these Proper Models can be ...
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Conference Object
Determining model accuracy as a function of inputs and system parameters
Sohns, B. J.; Stein, J. L.; Louca, Loucas S. (American Society of Mechanical Engineers (ASME), 2004)Vital to the effectiveness of simulation-based design is having a system model of known quality. Previous research introduced an algorithm called AVASIM for assessing model validity systematically and quantitatively. AVASIM ...
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Article
Energy-based model reduction methodology for automated modeling
Louca, Loucas S.; Stein, J. L.; Hulbert, G. M. (2010)In recent years, algorithms have been developed to help automate the production of dynamic system models. Part of this effort has been the development of algorithms that use modeling metrics for generating minimum complexity ...
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Article
Extension and application of an algorithm for systematic identification of weak coupling and partitions in dynamic system models
Rideout, D. G.; Stein, J. L.; Louca, Loucas S. (2009)This paper reviews and extends a technique to detect weak coupling (one-way coupling or complete decoupling) among elements of a dynamic system model, and to partition and reduce models in which weak coupling is found. The ...
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Article
Generating proper dynamic models for truck mobility and handling
Louca, Loucas S.; Rideout, D. G.; Stein, J. L.; Hulbert, G. M. (2004)The effectiveness and utility of an energy-based model reduction algorithm for two different vehicle system modeling applications are discussed. The first case study focuses on the vehicle dynamics model of a military ...
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Article
Ideal physical element representation from reduced bond graphs
Louca, Loucas S.; Stein, J. L. (2002)Previous research has demonstrated that bond graphs are a natural and convenient representation to implement energy-based metrics that evaluate the relative 'value' of energy elements in a dynamic system model. Bond graphs ...
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Article
Implementing the milliken moment method using controlled dynamic simulation
Kang, D.; Stein, J. L.; Hoffman, R. C.; Louca, Loucas S.; Huh, K. (2005)The Milliken Moment Method (MMM) can be used to quantify the constraints imposed on vehicle stability and controllability by front and rear tire traction limitations. The main aspect of the Milliken Moment Method is the ...
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Conference Object
A model accuracy and validation algorithm
Sendur, P.; Stein, J. L.; Peng, H.; Louca, Loucas S. (American Society of Mechanical Engineers (ASME), 2002)Dynamic models of physical systems with physically meaningful states and parameters have become increasingly important, for design, control and even procurement decisions. The successful use of models in these contexts ...
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Conference Object
A modular modeling approach for the design of reconfigurable machine tools
Ersal, T.; Stein, J. L.; Louca, Loucas S. (Affiliation: Department of Mechanical Engineering, University of Michigan, Ann Arbor, United StatesAffiliation: Department of Mechanical and Manufacturing Engineering, University of Cyprus, CyprusCorrespondence Address: Ersal, T.Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, United Statesemail: tersal@umich.edu, 2004)A new generation of machine tools called Reconfigurable Machine Tools (RMTs) is emerging as a means for industry to be more competitive in a market that experiences frequent changes in demand. New methodologies and tools ...
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Article
Physical system modeling
Stein, J. L.; Louca, Loucas S.; Peng, H. (2010)
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Article
A review of proper modeling techniques
Ersal, T.; Fathy, H. K.; Rideout, D. G.; Louca, Loucas S.; Stein, J. L. (2008)A dynamic system model is proper for a particular application if it achieves the accuracy required by the application with minimal complexity. Because model complexity often-but not always-correlates inversely with simulation ...
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Conference Object
A review of proper modeling techniques
Ersal, T.; Fathy, H. K.; Louca, Loucas S.; Rideout, D. G.; Stein, J. L. (Affiliation: University of Michigan, Department of Mechanical Engineering, Ann Arbor, MI, United StatesAffiliation: University of Cyprus, Department of Mechanical and Manufacturing Engineering, Nicosia, CyprusAffiliation: Memorial University of Newfoundland, Department of Engineering and Applied Science, St. John's, NL, CanadaCorrespondence Address: Ersal, T.University of Michigan, Department of Mechanical Engineering, Ann Arbor, MI, United Statesemail: tersal@umich.edu, 2008)A dynamic system model is proper for a particular application if it achieves the accuracy required by the application with minimal complexity. Because model complexity often - but not always - correlates inversely with ...
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Article
Simulation-based optimal design of heavy trucks by model-based decomposition: An extensive analytical target cascading case study
Kokkolaras, M.; Louca, Loucas S.; Delagrammatikas, G. J.; Michelena, N. F.; Filipi, Z. S.; Papalambros, P. Y.; Stein, J. L.; Assanis, D. N. (2004)We present the findings of an extensive case study for the decomposed, simulation-based, optimal design of an advanced technology heavy truck by means of analytical target cascading. The use of a series hybridelectric ...
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Article
Systematic assessment of rigid internal combustion engine dynamic coupling
Rideout, D. G.; Stein, J. L.; Louca, Loucas S. (2008)Accurate estimation of engine vibrations is essential in the design of new engines, engine mounts, and the vehicle frames to which they are attached. Mount force prediction has traditionally been simplified by assuming ...
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Article
Systematic identification of decoupling in dynamic system models
Rideout, D. G.; Stein, J. L.; Louca, Loucas S. (2007)This paper proposes a technique to quantitatively and systematically search for decoupling among elements of a dynamic system model, and to partition models in which decoupling is found. The method can validate simplifying ...
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Conference Object
Systematic model decoupling through assessment of power-conserving constraints - An engine dynamics case study
Rideout, G.; Stein, J. L.; Louca, Loucas S. (American Society of Mechanical Engineers (ASME), 2004)Simplified models for predicting engine mount forces have traditionally been developed based on the assumption that for a well-balanced low-speed engine, the reciprocating dynamics can be decoupled from the three-dimensional ...
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Target cascading in vehicle redesign: A class VI truck study
Kim, H. M.; Kokkolaras, M.; Louca, Loucas S.; Delagrammatikas, G. J.; Michelena, N. F.; Filipi, Z. S.; Papalambros, P. Y.; Stein, J. L.; Assanis, D. N. (2002)The analytical target cascading process is applied to the redesign of a U.S. class VI truck. Necessary simulation and analysis models for predicting vehicle dynamics, powertrain, and suspension behaviour are developed. ...
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Article
Using the Milliken Moment Method and dynamic simulation to evaluate vehicle stability and controllability
Hoffman, R. C.; Stein, J. L.; Louca, Loucas S.; Huh, K. (2008)The Milliken Moment Method (MMM) effectively organises kinematically constrained vehicle test results. The authors present a method for evaluating vehicle handling
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Conference Object
Using the milliken moment method and dynamic simulation to evaluate vehicle stability and controllability
Hoffman, R. C.; Louca, Loucas S.; Stein, J. L.; Huh, K. (American Society of Mechanical Engineers (ASME), 2004)The Milliken Moment Method (MMM) is a way of efficiently organizing the results from a kinematically constrained vehicle test. Using the MMM and closed-loop dynamic simulation, the authors present a new method for evaluating ...