The Modeling and Simulation Laboratory is a high-tech computing facility for developing sophisticated models and simulations, as well as conducting systems engineering research.
The primary mission of this laboratory is to support both applied and basic engineering research that involves numerically intensive computations and visualization of extremely large data sets. The lab provides high-end computing and visualization capabilities to support research on cost-effective and efficient techniques for managing the development of complex, distributed systems. It also facilitates participation in large-scale modeling and simulation exercises, as well as enables exercises in concurrent engineering techniques.
Types of Activities
This state-of-the-art computer lab contains high-performance workstations and high-capacity data servers. The software supports applications in systems, electrical, mechanical, civil, and computer engineering. Current areas of research include solid modeling, finite element analysis, computational fluid dynamics, optimization, signal/image processing, and network simulation. In addition to modeling and simulation efforts, the lab can be used for demonstrations, training, and software development. Continual efforts are ongoing to increase the capabilities of this lab by adding additional equipment and software.
- Two high-performance workstations for 3D CAD/CAM, FEA, CFD, and signal/image processing
- Four mid-level workstations
- High-capacity data servers
- High-resolution graphics monitors
- Large screen display
- 3D scanner
- Color printer
- Finite element analysis (ANSYS, ABACUS, SAP2000, ETABS)
- Computational fluid dynamics (FLUENT)
- Multipurpose (MATLAB & Toolboxs, Mathematica, LabView)
- Virtual design and simulation (SolidWorks, Delmia, Unigraphics, Pro/Engineer, AutoDesk)
- Dynamics simulation (LS-DYNA)
- Thermal simulation (TRNSYS)
- Visualization (Tecplot)
- Optimization and systems modeling (SysML, GA/NN, EXCEL)
- Project management (TeamSpot, RTM, DOORS, Rational Rose)
- Functional analysis and architecture (CORE, Cradle Rhapsody)
- Data interchange and trade studies (Phoenix Integration, ModelCenter, ICEMaker)
- E.A. Thompson, T. Anderson, "Use of CUDA for the Continuous Space Language Model," Proceedings of the 2012 IEEE High Performance Extreme Computing Conference (HPEC), September 10-12, 2012, Waltham, MA, 39-44.
- B. Kang, “Dynamic Instability of a Spinning Thick Disk Under Nonconservative Traction,” International Journal of Structural Stability and Dynamics, in press, 2012.
- B. Kang and C.H. Riedel, “On the Validity of Planar, Thick Curved Beam Models Derived with Respect to Centroidal and Neutral Axes,” Wave Motion, 49 (2012): 1-23.
- B. Kang and C. H. Riedel, 2012, “Coupling of In-Plane Flexural, Tangential, and Shear Wave Modes of a Curved Beam,” ASME Journal of Vibration and Acoustics, 134(1), Article No. 011001 (13 pages), 2012.
- N.T. Younis and B. Kang, “Averaging Effects of a Strain Gage,” Journal of Mechanical Science and Technology, 25(1): 163-169, 2011.
- Z. M. Bi, B. Kang, “Sensing and Responding to the Changes of Geometric Surfaces in Reconfigurable Manufacturing and Assembly”, Enterprise Information System (article in press), 2012.
- Z. M. Bi and L. Wang, “Energy Modeling of Machine Tool for Optimization of Machine Setup”, IEEE Transaction on Automation Science and Engineering, 9(3):607-613, 2012.
- Z. M. Bi and L. Wang, "Optimization of Machining Processes from the Perspective of Energy Consumption - A Case Study, Journal of Manufacturing Systems, http://dx.doi.org/10.1016/j.jmsy.2012.07.002, 2012.
- L. Xu, C. Wang, Z. M. Bi, and J. Yu, “AutoAssem: An Automated Assembly Planning System for Complex Products”, IEEE Transactions on Industrial Informatics, 8(6): 669-678, 2012.
- Z. M. Bi and B. Kang, “Motion Purity of Robotic Mechanisms wit Desired and Undesired Motions” Advanced Robotics, 25(11-12): 1539-1556, 2011.
- Z. M. Bi, “Feasibility Study of Using a Simulation Approach for Optimisation of Machining Process on Aircraft Materials”, International Journal of Materials and Product Technology, DOI: 10.1504/IJMPT.2011.045462, 2011.
- Z. M. Bi, “Revisit System Architecture for Sustainable Manufacturing”, Invited feature paper, Journal of Sustainability, 3(9): 1323-1340, 2011.
- Z. M. Bi, “Development and Control of A 5-axis Reconfigurable Machine Tool” Open Journal of Robotics, Article ID 583072, 9 pages, doi:10.1155/2011/583072, 2011.
- Z. M. Bi, and Y. Jin, “Kinematic Modeling of Parallel Kinematic Machine Exechon” Robotics and Computer Integrated Manufacturing, 27(1): 186-193, 2011.
- Z. M. Bi “Design and Simulation of Dust Extraction for Composite Drilling” International Journal of Advanced Manufacturing Technology, 54(5-8): 629-638, 2011.
- Z. M. Bi and B. Kang, “Reconfigurable Parallel Kinematic Machines with an Adjustable Platform for Higher Adaptability”, ASME Journal of Manufacturing Science and Engineering, 132(6): 061016 (9 pages), doi:10.1115/1.4003120, 2010.
- Z. M. Bi, “Computer Integrated Reconfigurable Experimental Platform for Ergonomic Study of Vehicle Body Design”, International Journal of Computer Integrated Manufacturing, 23(11): 968 – 978, 2010.
- Z. M. Bi and L. Wang, “Dynamic Control Model of the Cobot with Three Omni-Wheels”, Robotics and Computer-Integrated Manufacturing 26 (2010) 558–563.
- Z. M. Bi, and L. Wang, “Advances in 3D Data Acquisition and Processing for Industrial Applications”, Robotics and Computer Integrated Manufacturing, 26(5): 403-413, 2010.
- Z. M. Bi, Y. Lin and W.J. Zhang, “The General Architecture of Adaptive Robotic Systems for Manufacturing Applications”, Robotics and Computer Integrated Manufacturing, 26(5): 461-470, 2010.
- E.A. Thompson, S.K. Holland, J.X., Y. Wang, "MEG Source Localization Using a Frequency Beamformer," Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference (NEBEC), March 27-28, 2010, New York, NY, 1-2.
- Z. M. Bi and L. Wang, "Optimal Design of Reconfigurable Parallel Machining Systems", Robotics and Computer Integrated Manufacturing, 25(6): 951-961, 2009.
- Z. M. Bi, S. Y. T. Lang, “Joint Workspace of Parallel Kinematic Machines”, Robotics and Computer Integrated Manufacturing, 25(1): 57-63, 2009.
- L. Huang, E.A. Thompson, V. Schmithorst, S.K. Holland, T.M. Talavage, "Partially adaptive STAP algorithm approaches to functional MRI," IEEE Transactions on Biomedical Engineering, February 2009, 56(2):518:521.