MIT Thesis Explores Topology Optimization for 3D Printing in Construction & Civil Engineering
Andrew Novillo, in writing his thesis for the Department of Civil and Mechanical Engineering at MIT, explores topology optimized metal in the recently published ‘Experimentation of a topology-optimized metal structural…
MIT: New Algorithms for Robotic Spatial Extrusion Planning
MIT scientists are researching new ways to improve automated systems, outlining their findings in the recently published ‘Scalable and Probabilistically Complete Planning for Robotic Spatial Extrusion.’ Exploring new ways to…
GE Research: Need for Speed in Computing to Integrate Artificial Intelligence and 3D Printing
“I feel the need…the need for speed!” That iconic line was spoken by US Navy fighter pilots Maverick (Tom Cruise) and Goose (Anthony Edwards) in the 1986 action movie…
Coding for 3D Part 3: Tools of Choice
This is an in-depth article explaining the plan of attack for learning parametric design through code. I will be consulting various online resources as well as books to strengthen my knowledge base.
What is Metrology Part 15: Inverse Filtering
This is an article on the essence of Inverse Filtering. Within this image processing method there are two distinct methods to deblur images.
3Dflow Computer Vision Software
This is a brief company analysis of 3Dflow as well as a promotion for their upcoming workshop in September.
Simulation First Initiative Helps Honeywell Engineers Find Optimal Parameters for 3D Printed & Machined Parts
Honeywell FM&T, an engineering, manufacturing and sourcing enterprise that’s part of aerospace company Honeywell, manages and operates the Kansas City National Security Campus (KCNSC) for the US Department of Energy (DOE). In addition to providing technical services…
What is Metrology Part 8: Complex Analysis, Optics, and Metrology
This is a brief summary on the physics behind metrology, optics, and the math behind it – complex analysis. This is a fun introduction to complex physics interactions within technology.
China: Applying Neural-Network Machine Learning to Additive Manufacturing Processes
In ‘Applying Neural-Network-Based Machine Learning to Additive Manufacturing: Current Applications, Challenges, and Future Perspectives,’ authors Xinbo Qi, Guofeng Chen, Yong Li, Xuan Cheng, and Changpeng Li investigate how machine learning…