Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 18 of 18 for “"model-based optimization"”.
-
Capacity Fade Analysis and Model Based Optimization of Lithium-ion Batteries
… dissertation contributes to the efforts in the modeling, simulation and optimization of lithium-ion batteries and their use in the design of better batteries for the future. While physics-based models have been widely developed and studied for these systems, the rigorous models have not been …
-
Model-based optimization of ultra high performance concrete highway bridge girders
… goal through the development of a comprehensive model-based optimization methodology and its application toward the design of UHPC highway bridge girders. At the core of the proposed model-based design strategy is a macroscopic two-phase UHPC material model, in which the brittle-plastic composite …
-
Modeling and Control of Transient Enhanced Diffusion of Boron in Silicon
… at a cost of increasing sheet resistance. A model-based optimization is formulated to design the optimal annealing temperature program that gives the minimum junction depth while maintaining satisfactory sheet resistance. Comparison of different parameterizations of the optimal trajectories …
-
New model-based methods for non-differentiable optimization
Model-based optimization methods are effective for solving optimization problems with little structure, such as convexity and differentiability. Such algorithms iteratively find candidate solutions by generating samples from a parameterized probabilistic model on the solution space, and update the …
-
A thermodynamic framework for the modeling and optimization of crystallization processes
… the main objective of this work is to target model-based optimal strategies for crystallization operations specifically targeting crystal size and crystal size distribution (CSD). In particular, take the knowledge gained and translate it into an economically and practically feasible …
-
Inline motion in flapping foils for improved force vectoring performance
… thrust. Additionally, I show that the use of a model-based optimization scheme, driving a sequence of experimental runs, allows the ability for flapping foils to tightly vector and keep the force in the desired direction, hence improving locomotion and maneuvering. I employ Particle Image …
-
Advanced battery modeling for interfacial phenomena and optimal charging
… consuming and limited in small scale’s study. Modeling techniques provide us powerful tools to get a deep understanding of the relevant physics and find optimal solutions. This work focuses on studying the mechanism in advanced battery engineering techniques and developing a new charging …
-
Physics-Inspired Deep Learning for Inverse Problems in MRI
… power of combining the forward image acquisition model with deep learning solutions for inverse problems in magnetic resonance imaging (MRI), from individual network layers to the network architecture design and inference procedure. First, we propose neural network layers that combine image space …
-
Quantitative modeling and control of nascent sprout geometry in in vitro Angiogenesis
… Mechanistic understanding and quantitative modeling of the dominant dynamics involved in nascent vessel growth will enable new strategies for regulating vessel growth rate and geometry, and will have implications in controlling growth of complete vascular networks in many research areas, …
-
Guided Wave Actuation for Enhanced Damage Identification in Carbon Fiber Reinforced Polymer Material Using Electrical Resistance Tomography
… of the method is verified using surrogate model based optimization for damage identification. The physical contact of embedded crack faces leads to current paths through the crack that limits the accuracy and resolution of ERT damage identification. To overcome this limitation, a new hybrid …
-
Automated microreactor system for reaction development and online optimization of chemical processes
… efficiency and the accuracy of these reaction optimization investigations through the use of an automated microreactor system. Previous studies have illustrated the benefits of silicon microreactors for the study of chemical reactions. Such advantages include the small reactor volume and the …
-
Parametric Modeling of Deformable Linear Objects for Robotic Outfitting and Maintenance of Space Systems
… not consider. This dissertation implements a model-based optimization approach to estimate cable configuration, where a design parameter of the model's discretization level enables trading model accuracy vs. computational complexity. Such a consideration when creating the DLO model has not …
-
Uncertainty-Integrated Surrogate Modeling for Complex System Optimization
<p>Approximation models such as surrogate models provide a tractable substitute to expensive physical simulations and an effective solution to the potential lack of quantitative models of system behavior. These capabilities not only enable the efficient design of complex systems, but is also …
-
Integrated optimization of hybrid steam-solvent injection in post-CHOPS reservoirs with wormhole networks and foamy oil behaviour under uncertainty
… to wormhole networks and foamy oil flow since model-based optimization methods find their limits. In this study, integrated techniques have been developed to optimize performance of the hybrid steam-solvent injection processes in a depleted post-CHOPS reservoir with consideration of wormhole …
-
Model-Based Control Development for an Advanced Thermal Management System for Automotive Powertrains
… this extent, this work focuses on developing model-based TMS controls for a prototype light-duty automotive powertrain during fully warmed-up vehicle operation. The design of the models and control algorithms is conducted in parallel with the development of a prototype TMS, hence realizing a …
-
Optimal energy management for a grid-tied solar PV-battery microgrid: A reinforcement learning approach
… power plants and toward a decentralized network based on renewables. Microgrids, either grid-connected or islanded, provide a key solution for integrating RERs, load demand flexibility, and energy storage systems within this framework. Nonetheless, renewable energy resources, such as solar and …
-
Modellbasierte Optimierung des Diamantdrahtsägeprozesses für die Fertigung von Siliziumwafern
… In dieser Arbeit wird ein dynamisches Modell des Drahtsägeprozesses entwickelt, das die Simulation relevanter Prozessvariablen über die Prozesszeit und über die Ausdehnung des Drahtfeldes zulässt. Den Kern der Modellierung bildet ein parametrisches Abtragmodell, das die Abtragrate in …
-
INNOVATION AND OPTIMIZATION OF THE HYDROGEN TRANSPORT AND DISTRIBUTION CHAIN AS A GREEN AND RENEWABLE ENERGY VECTOR
… The aim of this thesis, titled “Innovation and Optimization of the Hydrogen Transport and Distribution Chain as a Green and Renewable Energy Vector”, is to investigate and address the technical challenges associated with the integration of hydrogen into the current energy infrastructure, with a …