Computational Methods in Additive Manufacturing
“Computational Methods in Additive Manufacturing” is a graduate/senior level course offered by Prof. Anand that integrates concepts of geometric modelling, computational geometry, computer graphics and optimization methods for preprocessing and post processing analysis of geometric models for additive process friendly part builds. The eventual goals of these computational/optimization tools is for additive friendly part light weighting as well as accurate, quick and cost-effective part builds in Additive Manufacturing. In-house developed geometric algorithms with Siemens NX front end as well as back end APIs are used as a part of experiential learning approach for students with actual part models from the industry and feedback from industry experts on student projects. Siemens NX and NX Nastran tools developed for this course will be available for the students throughout the course and will culminate in a final project.
NX API based tools that will be available to students