Equipment reliability analysis software development based on operational and environmental conditions

With the abundance of data in the current era of the industrial revolution, it would be essential to have software with offline data security features to perform data-based analysis of equipment life by identifying the factors affecting equipment failure, which leads to the loss of production. Therefore, this project aims to develop software that can identify the equipment's health state based on reliability analysis considering the critical factors.

Design and Develop a Viable Microchannel Approach for Liquid-Liquid Cooling Systems

One of the main concerns in the world is rising energy demand, which forces industries to introduce the products with the lowest energy consumption. Cooling systems often employ single-phase flow and gas-liquid two-phase flow in many applications. These types are well-demonstrated that have lower cooling performance than liquid-liquid two-phase flow. Therefore, customers would pay more as the electricity price goes up. Another pain that customers experience is a higher maintenance cost to keep the product in good condition.

Development of a dynamic control strategy for automated window shades

Commercial and multi-unit residential buildings located in cities with high sun exposure often experience challenges regulating indoor temperature due to the uneven distribution of solar radiation and localized overheating. For buildings located in cold climate zones, localized overheating – and in turn, localized indoor cooling – during the winter heating season is often overshadowed by the need to meet the building’s heating demand. This study proposes the use of smart shading systems to regulate the amount and duration of sun exposure within an indoor space.

A computer-vision assisted system for on-site construction to monitor safety and track productivity

Construction sites are accident-prone sites and despite numerous efforts to reduce incidents, they continue to occur. Among others, fall accidents, in particular, account for the majority of these incidents, necessitating the implementation of proper management strategies. Traditional techniques for providing safety and preventing accidents are adequate and appropriate for improving safety, however, they are not able to adapt to the changing environment.

Full-Scale Testing of an E-Motor Cooling System

Automotive makers are facing increasing pressure to reduce greenhouse gas emissions and shift from the use of more conventional internal combustion engine vehicles to electric vehicles. Along with this shift comes a demand for on-board electronics that can operate at higher power densities, such as the electric motor. A less utilized, yet cheaper and more efficient e-motor type is a wound-field synchronous motor.

Embedded security markers in metal additive manufacturing parts and detection via high-frequency ultrasound systems

Metal additive manufacturing (AM) technologies are now frequently used in the aerospace, automotive, medical, and energy sectors for fabricating end-use components. The digital nature of the supply chain involved for metal AM production becomes increasingly susceptible to numerous types of cyber- and cyber-physical threats.

Process Automation of Thermal Material Processes

With this project a complete real time monitoring and control system for thermal material processes (TMP) will be developed to reduce inconsistencies during the process. TMP is a field of manufacturing where a concentrated energy source is used to fuse or change the properties of materials, welding and laser additive manufacturing are considered TMP. In TMP, the area where energy intersects the working materials is referred to as the heat affected zone (HAZ). New algorithms will be developed that uses a camera to measure the HAZ geometry and temperature in real-time.

Advance Generalizability of Graph-based Machine Learning Models for Applications Automotive Metal Forming and Impact

In modern automotive engineering, vehicles are primarily designed in the virtual space to enable a rapid vehicle design process. However, this process is heavily constrained by the time and computational requirements necessary to generate the vast number of simulations needed for vehicle design. Fortunately, modern machine learning (ML) techniques may be used to dramatically accelerate the generation of new simulation results.

Recycling of Fiberglass Parts for re-use as Structural Parts

Large fiberglass parts cannot be easily recycled. In this proposal, a recycling method will be developed to meet the needs of Proslide. Waste Fiberglass generated by Proslide will be transformed into recycled parts that can be re-used by the company. This will accomplished in several steps by first taking the waste parts to a recycling facility to break down the parts into useable fiberglass material. The material is then converted to a material that can be used by industrial 3D printing machines. The 3D printer is then used to produce complex shaped parts.

Real time adaptive robot control and data management in an artificial intelligence driven powder coating process

Today, the manufacturing industry is facing a very rapid revolution. The end users of products can order at any time, in any quantity and always with very short delivery times. The shopping digitalization dramatically changes the consumption landscape in a global competition environment. Consequently, the industry is forced to adapt the way they are producing.