Analytical & Computational Mechanics Lab - UIUC

Analytical and Computational Mechanics (ACM) Laboratory

Department of Mechanical & Industrial Engineering
College of Engineering
University of Illinois at Urbana-Champaign

Director:

Daniel A. Tortorelli, - dtort@acm6.me.uiuc.edu
350 Mechanical Engineering Building, (217) 333-5991

Professor, Department of Mechanical & Industrial Engineering
Faculty Fellow, Department of Theoretical & Applied Mechanics
Affiliate, Computational Science and Engineering (CSE)

Most engineering tasks focus on the analysis of engineering systems. However, analysis is not the primary task of the engineer, rather the engineer's primary task is to design the system itself. I attempt to integrate analysis and design synthesis via computational mechanics and numerical optimization. For the most part, I use continuum mechanics to derive the governing equations for various engineering systems and then solve these equations using the finite element method. I also derive the design sensitivities for these systems, again using continuum mechanics, and evaluate them, again with the finite element method. Finally, I use nonlinear programming strategies to update the design so as to minimize a cost function and satisfy all constraints.

As my list of publications shows, I have published almost exclusively in the areas of design sensitivity analyses and their applications in optimization. However, I have also used the sensitivities to solve inverse heat conduction problems, both transient and steady-state, linear and nonlinear. Finally, I have an interest in continuum mechanics, a subject in which I have made few published contributions, but which is central to much of my research.

The applications of the sensitivity analyses and optimizations are, what I feel, the most noteworthy aspects of my work and my collaborative efforts with my colleagues and graduate students. In particular, we have applied these methods to optimize manufacturing processes, e.g. crystal growth. The optimization results are generally nonintuitive. In fact, an engineer with extensive experience in the crystal growth industry had been using the optimal processing conditions that we computed. However, it took him years to obtain his results, whereas we obtained our results after several hours of computing. Similar comments can be said of our experiences in casting, welding, polymer extrusion and polymer injection molding process optimizations. In the future, we will improve the simulations which are used to model these processes, as the optimization results are only as good as the underlying numerical model. For example, the present casting analysis only considers heat conduction; therefore to predict distortion and residual stress development a mechanical model must be developed. Similarly, the polymer process models neglect thermal effects and cannot predict fiber orientation or distortion.

We will also investigate other manufacturing processes. At the present time, we are developing an Eulerian model for continuous processes such as rolling, extrusion, drawing, continuous casting, laser annealing and quenching. This model is displacement-based so that residual stress and distortion can be computed, unlike previously developed velocity-based Eulerian models. Opposed to displacement-based Lagrangian models, our computations are steady-state so that costly transient analyses on large meshes are eliminated. Additionally, since our analyses are steady-state, we may use proper mesh refinement to obtain more accurate results.

To simplify the use of these optimization techniques, we are developing graphic interfaces through Pro/Engineer which can be used to parameterize the design and define cost and constraint functions. This work is being performed for both finite element and multi-body mechanical system analyses/optimizations. In the finite element work, we utilize variational geometry and automatic meshing to parameterize the node coordinates with respect to the solid model dimensions.

The desire to optimize designs from both a consumer product and manufacturing process viewpoint motivated the coupled system analyses/optimizations. This concurrent design concept has been used to design a weldment, in which both manufacturing and product constraints were simultaneously considered. We similarly propose to use this concurrent optimization technique to develop a polymer injection process that will produce a desired fiber orientation and density to optimize the performance of composite structures.

In a somewhat similar coupled problem we are combining the finite element and mechanical multi-body system analyses to optimize linkages, e.g., to optimize a connecting rod in a slider crank mechanism. The analyses are coupled because the geometry of the connecting rod determines its mass properties which are used in a multi-body mechanical system analysis to evaluate the reaction forces and accelerations which are in turn used as the loads in a structural finite element analysis.

In multi-body design we are currently studying a unique computationally efficient means to simulate the flexibility of "rigid body mechanisms.'' Using the theory of pseudo rigid bodies, we can model the flexibility of each link in the mechanism with only 11 degrees-of-freedom to obtain their gross motion. Then, a detailed finite element analysis can be performed on only those links of interest. Thus, we obviate the need to perform a detailed analysis of every link in the mechanism.

Another interest of mine is to design control strategies which are based on our open-loop design optimizations. This, for example, can be applied to trajectory control of flexible bodies and the furnace control in a crystal growth process. Currently, we are investigating the slewing motion control of a single flexible link, but in the future these techniques will be applied to control manufacturing processes such as continuous casting and polymer extrusion.

Finally, I have always enjoyed the subject of continuum mechanics. We have several ongoing projects in the elasticity and thermoelasticity of constrained materials and the linearization of the multi-body equations of motion.

Present funding for our research comes from The Aluminum Company of America (ALCOA), Caterpillar Incorporated, Ford Motor Company, the National Science Foundation and the Department of Energy.

Potential Course Sequences

Group Members

Research Papers

Application to M&IE Graduate Programs

Some useful links

Organizations

Danish Center for Applied Mathematics and Mechanics
Multibody System Dynamics
The International Society for Structural Optimization
United States Association for Computational Mechanics

Software

IMSL
Slatec
PGPLOT

Information

Library
Grainger Library
Online Journals
Cited Reference Search

Courses

IE230
ME320
ME570
TAM551

Presentations

Rocket Center 2003
Iowa 2003
TAM2004

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