Research for Abbas S. Milani

1- A New Dynamic Signal-to-Noise Identification Method for Characterization of Fiber Reinforced Textile Composites

During a previous work, a new framework for the inverse identification of material models was developed that is applicable to a variety of engineering problems. The developed multi-objective inverse method was used for the identification of two material models for a typical textile composite under basic deformation modes in quasi-static loading conditions. There is therefore the need for further extension and application of the method to different types of composites under more complex deformation modes, particularly rate/temperature dependent applications. Accordingly, as the main objective of the current research, it is proposed to elaborate on the characterization of composite materials for these applications. To this end, a new dynamic signal-to-noise identification scheme is under development.

Upon the completion of this research, it is expected that the understanding and modeling of non-repeatability in material response, which is a problem that has recently gained significant attention in textile composite literature, will be enhanced. Particularly, it will improve the reliability of rate and temperature dependant constitutive model parameters used in simulation and optimization of forming processes.

Verification of deformation uniformity (theoretically) in the original frame test using FEM

The non-repeatability of the test in practice due to the misalignment noise factor

2- Application of a new adaptive one-factor-at-a-time design of experiments algorithm in the layout optimization of composite laminates using FEM (collaborative project with the robust design group@MIT)

The femur or thigh bone is the longest (in length), largest (in volume) and strongest (in mechanical ability to resist deformation) bone of the human body. Osteoporosis in the femur is diagnosed when its strength (often in the neck region) is weakened or it is fractured. The fracture is frequently seen in elderly people, particularly women.

In order to prevent the fracture in a weakened bone, some techniques are used to implant reinforcements into the bone structure. The finite element method has been a powerful tool for the prediction of stress-strain fields in complex structures such as the one in the composite femur bone. In this work, the geometry of a reinforcement is optimized using design and analysis of computer experiments (DACE).

* This project was for Dr. Thomas Steffen at Mont-Royal Orthopaedic Research Inc.; I was working in collaboration with the Research Associate, C. El-Lahham.

Sample Thesis Project Collaboration

"Equivalent Numerical Model for Honeycomb Subjected to High Speed Impact", Master Thesis by Simon Amine, Department of Mechanical Engineering, McGill University, Montreal, Canada, 2005
No. of co-authored papers from this project: 1

"Multiple-Criteria Optimization of a Cold Heading Process using Finite Element Analysis and a Taguchi Approach", Master Thesis by Christine El-Lahham, Department of Mechanical Engineering, McGill University, Montreal, Canada, 2004
No. of co-authored papers from this project: 4

"Constitutive Models for the Study of Woven Fabrics Under Basic Deformation Modes", Conducted by Abbas S. Milani and James A. Nemes, Industrial Material Institute, National Research Council (NRC), Boucherville, Canada, 2002

"Design of Override Gear for National Car "ARROW", Conducted by Abbas S. Milani, Reza T. Faal and M. Meigunpoori, IUST in collaboration with Mega-Motor Inc., Tehran, Iran, 1998

Abaqus, SolidWOrks, Catia, Autocad, Matlab, Mathematica, LabView, Visual Basic, Fortran, C++, MOWR (multi-objective weighted regression, developed during Ph.D.), Gearbox Design (developed during B.Sc. & M.Sc.)