This thrust will develop a framework of common, shared theories and methodologies that merges advanced modeling and simulation techniques into a computational design optimization framework, building on the state-of-the-art from both. It will implement them into a computational platform to allow designers to systematically and efficiently exploit the vast design spaces created by today’s and tomorrow’s digital manufacturing technologies. This will provide designers with a suite of computational methods and tools to create designs that optimally utilize the freedom to arrange materials at increasing higher spatial resolution – today this is at the micron scale, but tomorrow it will be at the atomic scale. Our formalism will take advantage of the latest developments in modeling and with complex configurations of objectives, constraints, and optimization variables through the use of ever more powerful computational optimization algorithms. Our software architecture will include middleware and libraries as well as intuitive design interfaces to seamlessly connect engineering and architectural designers with contemporary, emerging, and future digital fabrication technologies to realize customized multifunctional products with unprecedented performance.
Frontispiece of Adv. Healthcare Mater. 21/2023: All Knitted and Integrated Soft Wearable of High Stretchability and Sensitivity for Continuous Monitoring of Human Joint Motion
All Knitted and Integrated Soft Wearable of High Stretchability and Sensitivity for Continuous Monitoring of Human Joint Motion Ujjaval Gupta, Jun Liang Lau, Pei Zhi Chia, Ying Yi Tan, Alvee Ahmed, Ngiap Chuan Tan, Gim [...]
Multiphysics modeling and experiments of grayscale photopolymerization with application to microlens fabrication
Emami, M.M., Jamshidian, M., Rosen, D.W., “Multiphysics modeling and experiments of grayscale photopolymerization with application to microlens fabrication,” Journal of Manufacturing Science and Engineering, Vol. 143, paper 091005, Sept. 2021. DOI: 10.1115/1.4050549 Abstract A phenomenological [...]
Bayesian inference-based decision of fatigue life model for metal additive manufacturing considering effects of build orientation and post-processing
Doh, J., Kim, S., Raju, N., Raghavan, N., Rosen, D.W., “Bayesian Inference-Based Decision of Fatigue Life Model for Metal Additive Manufacturing Considering Effects of Build Orientation and Post-Processing,” International Journal of Fatigue, Vol. 155, paper [...]
Design framework for mechanically tunable soft biomaterial composites enhanced by modified horseshoe lattice structures
Abstract Soft biomaterials have a wide range of applications in many areas. However, one material can only cover a specific range of mechanical performance such as the elastic modulus and stretchability. In order to improve [...]
Knit Color Relief
[Video] Built Environment
Computational Design of Complex Assemblies
[Video] Digital Design
Computer-Aided Design for Additive Manufacturing
[Poster] Digital Design