Multifunctional Design and Additive Manufacturing (MDAM) Lab
Optimal, Smart and Manufacturable Designs
VISION
To be a world-class research center that provides functionally optimal structural design solutions for additive and advanced manufacturing technologies
RESEARCH
We are focused on cutting-edge and relevant research in the additive manufacturing space
TOPOLOGY
OPTIMIZATION
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
CONSTRAINTS
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.
LATTICE AND
POROUS
STRUCTURES
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.
SOFTWARE DEVELOPMENT
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.
ABOUT US
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.
OPENINGS
There are two open and fully funded Ph.D. positions for highly motivated candidates