Browsing by Author "Cremaschi, Selen"

Now showing items 1-11 of 11

Big Data Analytics and Its Applications in Soft Sensor for Smart Manufacturing

Shah, Devarshi (2019-04-29)

This dissertation presents research performed to develop industrial internet of things enabled testbed and statistics pattern analysis feature-based modelling approach for smart manufacturing. Advent of internet completely ...

Data Driven Methods for Chemical Process and Product Synthesis and Design

Davis, Sarah E (2018-11-20)

Data driven methods for chemical process and product synthesis have become integrated in all aspects of design. The responsibly of the academic community should be to provide users with guidance when managing the ...

A Data-Mining Framework for Uncertainty Analysis in Pipeline Erosion Modeling

Dai, Wei (2018-07-24)

The transport of solids in multiphase flows is common practice in energy industries due to the unavoidable extraction of solids from oil and gas bearing reservoirs either from onshore or offshore sites. The safe and efficient ...

Design and Optimization of a Continuous Bioreactor for Enhanced Cell Production

Avvari, Rithvija (2022-05-02)

This research investigated a novel continuous bioreactor which can be operated both in batch and chemostat modes. The bioreactor showed significant improvement in cell growth due to addition of a spiroid which increased ...

Development of Hybrid Model for Estimating Liquid Entrainment Fraction and Uncertainty: Integrating Machine Learning and First Principles

Deng, Yushi (2024-05-01) ETD File Embargoed

In two-phase annular flow, a thin liquid film forms around the pipe as gas flows through the pipeline center. Some portion of the liquid is carried into the gas core. The liquid entrainment fraction, which is defined as ...

From Data to Decisions: Development of Surrogate Models for Process Optimization

Williams, Bianca (2022-07-27) ETD File Embargoed

Surrogate models are used to map input data to output data when the actual relationship between the two is unknown or computationally expensive to evaluate (Han & Zhang, 2012). Surrogate models can also be constructed for ...

A Novel Approach to Building Surrogate Models of Stochastic Simulations

Mohammadi, Samira (2022-07-28) ETD File Embargoed

High-fidelity simulations represent the processes and phenomena in a detailed manner. However, they are generally computationally expensive to evaluate for optimization and sensitivity analysis applications. Additionally, ...

Optimization Approaches to Identifying Personalized Colorectal Cancer Screening Strategies

Young, David (2022-08-01) ETD File Embargoed

This dissertation investigates optimization approaches for solving a problem coined the colorectal cancer screening problem (CRCSP). This problem aims to identify a screening strategy for testing an asymptomatic population ...

Process Intensified Gas-to-Liquids Technology Enhanced by Microfibrous Entrapped Catalyst Structure

Cheng, Xinquan (2018-12-10)

The increasing demand for liquid fuels draws attention to synthetic fuels. Currently, two well-known Gas-to-Liquids technologies are used to convert syngas to liquid fuels. One is Fischer-Tropsch Synthesis (FTS); the other ...

Solution Approaches to Large Scale Multistage Stochastic Programs with Endogenous and Exogenous Uncertainty

Christian, Brianna (2017-12-01)

The focus of this dissertation is the investigation of approaches to address the computational challenges of solving multistage stochastic programs (MSSPs) with both endogenous and exogenous uncertainty. My work to date ...

Towards Environmental Resilience in Pulp and Paper Manufacturing: Water Consumption and Carbon Dioxide Emission Reductions

Parkhi, Amod Dilip (2022-07-28) ETD File Embargoed

The objective of this research is to reduce freshwater consumption and carbon dioxide emission from the pulp and paper industry. Specifically, we investigated the feasibility of reducing freshwater consumption in the bleach ...