Advancement: Adaptive 4D-Printing: An Autonomous Platform for In-Situ Morphological Computing and Validation Through Embodied Intelligence

Speaker Name: 
Arash Alex Mazhari
Speaker Title: 
Ph.D. Candidate
Start Time: 
Thursday, December 5, 2019 - 1:00pm
Location: 
Engineering 2, Room 280
Abstract:
Rapid prototyping lends itself as a powerful tool that leverages the automated fabrication of digital product definitions through the computer numerical control of physical toolpaths. The process conventionally requires modification and iteration of these digital definitions for compatibility with the physics governing the respective fabrication process; this commonly leads to unoptimized solutions due to design-for-manufacturability constraints. I propose a process that empowers the physical implementation of this morphological computing as a multi-functional insight to the input design itself by sensing the performance of realized objects through the automated actuation and testing of components as a function of the embodied intelligence, programmed by their fabrication. By modeling the theoretical performance of an object and comparing the differences from expected to physical observations of the object through computer vision and! physical sensing, one may start to infer, characterize, validate, and even potentially qualify and standardize a component's actual implemented realization.

Further, by considering the employment of an evolutionary algorithm through the automated high-volume fabrication and testing of derivative objects, I explore the adaptive convergence of a design for its environment through a network of systems comparing and rewarding the performance of an object they manufactured, actuated, and sensed cooperatively. Automating and integrating the engineering processes of designing, physically realizing, testing, iterating, optimizing, and validating objects in a closed-loop manner significantly reduces the cost and logistical requirements for tailoring individual components to their deployed environment, while simultaneously freeing technical labor for tasks of increased complexity.
Event Type: 
Adancement/Defense
Advisor: 
Professor Mircea Teodorescu
Graduate Program: 
Computer Engineering Ph.D.