Multifunctional Design and Additive Manufacturing (MDAM) Lab
Optimal, Smart and Manufacturable Designs
To be a world-class research center that provides functionally optimal structural design solutions for additive and advanced manufacturing technologies
We are focused on cutting-edge and relevant research in the additive manufacturing space
Topology optimization provides the best structural configuration of a design for an objective subject to one or more constraints. To generate structurally optimal designs for additive or advanced manufacturing, we are developing new multiphysics and multiobjective methodologies and leveraging existing strategies.
ADDITIVE MANUFACTURING PROCESS MODELING AND
To ensure a design is manufacturable, modeling the process is pertinent to first investigate the response of the structure during and after printing (deformation, residual stress). Beyond this, the process responses can be captured within the structural design methodology to mitigate severe manufacturing defects during and after production.
With the advances in additive manufacturing technologies to produce structurally complex yet functional features, lattice/porous/infill structures have become a viable means for design applications that cover lightweighting, composities/meta-materials, bone scaffolds, implants, impact absorbers etc.
A key objective in the multifunctional structural design and additive manufacturing lab is the development of software tools (mainly open source) that can aid teaching and research. Our goal is to make several nascent design techniques available to researchers, teachers, engineers, and designers to ensure the diffusion of knowledge and obtain feedback for technology enhancement.
ARTIFICIAL INTELLIGENCE-ASSISTED DESIGN
Convolutional Neural and Generative Adversarial Networks (CNN and GANs) have been investigated to upscale the use of topology optimization. While there is room for improvement in that area, we aim to develop process data-driven surrogate AI models in topology optimization.
We are a team investing our efforts in developing design solutions for Industry 4.0.
With additive manufacturing being the “go-to” production method within Industry 4.0, we utilize nascent design technologies such as topology optimization and lattice structures to realize functional and manufacturable designs.
We also advance these structural design tools to account for multi-physics and multidisciplinary applications.
Our team is dynamic and goal-oriented; do reach out to us for collaborations or if you want to join us through any of our open positions.
Image-based Initialization and Post-Processing (IbIPP) for Topology Optimization
Topology Optimization for Arbitrary Design Domains (TopADD) – Developed on a Parallel Computing Framework
There are two open and fully funded Ph.D. positions for highly motivated candidates
AREA OF INTERESTS
1. Large Scale Topology Optimization for Multiphysics and Multi-Objective Problems
2. Design for Additive Manufacturing (DfAM): Large Scale AM-integrated Topology Optimization considering Overhangs and in-situ Deformation