BAYESIAN OPTIMIZATION FOR DESIGN PARAMETERS OF AUTOINJECTORS.pdf
The document describes the computational framework to optimize spring-driven Autoinjectors. It involves Bayesian Optimization for efficient and cost-effective design of Autoinjectors.
Funding
The research was funded by Eli Lilly and company.
History
Degree Type
- Master of Science
Department
- Mechanical Engineering
Campus location
- West Lafayette
