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BAYESIAN OPTIMIZATION FOR DESIGN PARAMETERS OF AUTOINJECTORS.pdf
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posted on 2023-04-24, 20:13
authored by
Heliben Naimeshkum Parikh
Heliben Naimeshkum Parikh
<p>The document describes the computational framework to optimize spring-driven Autoinjectors. It involves Bayesian Optimization for efficient and cost-effective design of Autoinjectors.</p>
Funding
The research was funded by Eli Lilly and company.
History
Degree Type
Master of Science
Department
Mechanical Engineering
Campus location
West Lafayette
Advisor/Supervisor/Committee Chair
Ilias Bilionis
Additional Committee Member 2
Pavlos Vlachos
Additional Committee Member 3
Arezoo Ardekani
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Categories
Numerical modelling and mechanical characterisation
Mechanical engineering not elsewhere classified
Keywords
Bayesian optimization procedure
Gaussian Process Dynamical Model
surrogate model approach
Licence
CC BY 4.0
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