5 papers
Probabilistic Predictions of Process-Induced Deformation in Carbon/Epoxy Composites Using a Deep Operator Network
Elham Kiyani, Amit Makarand Deshpande, Madhura Limaye +7
Fiber reinforcement and polymer matrix respond differently to manufacturing conditions due to mismatch in coefficient of thermal expansion and matrix shrinkage during curing of the…
A Decision Analysis Framework for High-fidelity and Low-fidelity Systems with Applications in Manufacturing Processes
Fan Zhang, Qiong Zhang, Madhura Limaye +4
Optimizing complex manufacturing processes often involves a trade-off between data accuracy and acquisition cost. High-fidelity data are accurate but limited, while low-fidelity da…
Uncertainty Estimation of the Optimal Decision with Application to Cure Process Optimization
Yezhuo Li, Qiong Zhang, Madhura Limaye +1
Decision-making in manufacturing often involves optimizing key process parameters using data collected from simulation experiments. Gaussian processes are widely used to surrogate…
Constrained Bayesian Optimization under Bivariate Gaussian Process with Application to Cure Process Optimization
Yezhuo Li, Qiong Zhang, Madhura Limaye +1
Bayesian Optimization, leveraging Gaussian process models, has proven to be a powerful tool for minimizing expensive-to-evaluate objective functions by efficiently exploring the se…
Numerical Simulation Informed Rapid Cure Process Optimization of Composite Structures using Constrained Bayesian Optimization
Madhura Limaye, Yezhuo Li, Qiong Zhang +1
The present study aimed to solve the cure optimization problem of laminated composites through a statistical approach. The approach consisted of using constrained Bayesian Optimiza…