Combustion emissions produced from burning real transportation fuels have many environmental impacts. However, detailed chemistry across multiple phases, time scales, and thermodynamic conditions make predicting combustion emissions challenging. Detailed modeling of the gas phase alone is prohibitively expensive, due to the large size and stiffness of the kinetic models. The...
Modular construction is increasingly seen as an efficient construction method in terms of time, cost, and energy. The full realization of these advantages partly relies on the efficiency of the production process inside the modular factories, which currently rely on tedious manual monitoring methods or expensive automated techniques. As a...
Powder Metallurgy Hot Isostatic Pressing (PM-HIP) is a widely recognized powder metallurgy manufacturing process to produce near-net-shape and net-shape components. During general PM-HIP processes the metal powders are filled within a capsule (die), heated and loaded with high pressure simultaneously, and solidified to form the final product. Due to the...
With the increased demand for high-quality products, reliable and robust process monitoring has become a key capability for modern manufacturing systems. Through sensors installed in the machinery, the real-time information was measured to assess the state of the processes. The measured data can be used to infer the mechanical, material,...
Improvement behaviors, specifically double loop, have been linked to successful lean implementations. Although the lean literature supports individual cognitive transformation to double loop learning as an important element of lean success, there remains a strategic methodology to achieve sustainable double loop behavior. Perceptions toward behavior and employee satisfaction have been...
Geospatial data analysis is a multifaceted discipline encompassing the collection, processing, and visualization of diverse datasets. It models and delineates the interactions of people, objects, and phenomena within geographical spaces and predicts patterns based on the relationships between different locations. Despite significant advancements in geospatial data engineering and analytics over...
Microplastics (MPs) are plastic particles less than 5 mm in diameter. These contaminants are increasingly found in the environment due to increased plastic production, use, and improper disposal. Detecting and measuring these contaminants in the environment has proven difficult, requiring the use of fate and transport models to assess MP...
Determining the electrical properties of ceria-based materials is important for their use as electrodes in hot-wall magnetohydrodynamic (MHD) power generators with wall temperatures greater than 1500 ̊C. The electrical conductivity of a material can be used in models for predicting the performance of generator designs. More specifically, the temperature dependent...
The oxidation of carbon monoxide (CO) to carbon dioxide (CO2) is ubiquitous throughout many industrial processes and is a common probe reaction used to help understand catalytic systems in research settings. The reaction is essential in power generation and transportation exhaust gas treatment technologies to ensure environmental safety, because CO...
Aromatic hydrocarbons represent a large class of environmental contaminants that have a broad range of structures, physicochemical properties, and toxicities. Arising from the burning of organic matter, particularly fossil fuels, they are both widespread and abundant in all environmental compartments. Both monoaromatic hydrocarbons (BTEX) and polycyclic aromatic hydrocarbons (PAHs) are...