Best Paper Award, ASME CIE
GRA Positions: GA Tech Savannah campus
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1. Robust Design of Complex Engineered System
Dr. Allen, Dr. Choi, and Dr. Mistree
(janet.allen@me.gatech.edu schoi@me.gatech.edu and farrokh.mistree@me.gatech.edu)
The traditional design process does not directly account for the random nature of most input parameters. Without realistic considerations of variabilities and tolerances in the design process, the design may induce catastrophic system failures. The research objective is to investigate and develop new probabilistic decision support tools to assist the management of complex engineering systems in the presence of uncertainty.
2. Optimal Topologies and Reliability-based Systems Design
Dr. Choi (schoi@me.gatech.edu)
The probability of failure for the deterministic optimum design can be significantly high since the conventional optimization process does not consider variability in design variables and parameters. Reliability-based design optimization method which incorporates probabilistic analysis into optimization process can provide a robust design to engineers. Thus, the reliability-based topology optimization can be an ideal method to obtain the optimal layout in the concept design process which has intrinsic uncertainties.
3. Simulation-Based Design Framework
Dr. Choi (schoi@me.gatech.edu) and Dr. Fathianathan (mfathianathan@me.gatech.edu)
As modern systems require more critical and complex designs, the need for a new design interface to quickly and reliably exchange information between users and design automation tools has increased significantly. The development of a new information-based design framework which makes complex systems understandable has tremendous potentiality to provide robust design and to enhance productivity. The solutions will be based on flexible programming models and Web-based technologies. Compatibility with CAD tools and the capabilities for deterministic and stochastic analysis will be also provided. With effective management of the large amounts of data and complex processes, engineers can reduce simulation time, shorten design time, and lower costs.
4. Virtual Collaboratory
Dr. Fathianathan (mfathianathan@me.gatech.edu), Dr. Choi (schoi@me.gatech.edu), Dr. Schaefer (dschaefer@me.gatech.edu)
Imagine products that conform to your needs and convenience, products that sense both the state of to world around you and your requirements and then automatically adjust themselves. Such products have ambient intelligence. What types of products will benefit from ambient intelligence? What is the most effective way to introduce ambient intelligence into a product – so that it becomes more convenient rather than less convenient. In this project you will investigate the foundational principles behind successful ambient product design and demonstrate them.
5. Projects in Self Designing Systems
Dr. Fathianathan (mervyn.fathianathan@me.gatech
Self designing systems are systems that are capable of dynamically synthesizing and realizing their own configurations. These systems are to be able to react to changing conditions and maintain functionality as well as reconfigure to meet different functions. A research team is being set up to address the development of self designing systems. Targeted applications include medical devices, manufacturing systems and ambient intelligence.
6. Interdisciplinary Design with Manufacture Integration
Dr. Schaefer (dirk.schaefer@me.gatech.edu), Dr. Fathianathan (mfathianathan@me.gatech
Many products encompass mechanical as well as electrical engineering components. In order to design such products, mechanical end electrical engineering CAD systems are used. Subsequently, the designed parts are manufactured. Obviously, design modifications on both the mechanical CAD and electrical CAD side influence the associated manufacturing processes. The idea of this project is to develop a framework that would allow integrating the mechanical with the electrical manufacturing process in order to automatically respond to design changes on either side.
7. MCAD to ECAD Integration
Dr. Schaefer (dirk.schaefer@me.gatech.edu)
Many products encompass mechanical as well as electrical engineering components. An example would be an elevator and its associated electrical control cabinet. In order to develop such products, usually the mechanical parts are designed first using a mechanical engineering CAD (MCAD) system. The electrical parts of the product are subsequently designed using an electrical engineering CAD (ECAD) system. Design changes on the mechanical engineering side lead to subsequent design modifications on the electrical engineering side and vice versa. Unfortunately, today there is no integration between MCAD and ECAD systems. The scope of this project is to develop a framework for bi-directional communication between mechanical and electrical engineering CAD systems. This involves developing a constraint-based approach that allows integrating MCAD and ECAD systems in order to automatically respond to design modifications on either side.
8. Information Technology to Support Engineering Education
Dr. Schaefer (dirk.schaefer@me.gatech.edu)
The purpose of this project is to investigate into an exciting area of Engineering Education. Key questions to be addressed include:
· What are key requirements to future IT-enabled learning environments?
· Does Information Technology (IT) have an impact on Student learning?
· How could such an impact be measured?
· How can IT be used to significantly improve the student learning process, i.e. foster deep approaches learning?
Curriculum development for IT-enabled learning environments
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