Displaying 22 - 24 of 32
ID# | Organization type | Agency interests | Capabilities offered | Equipment & facilities | Organization area of interest(s) | Other offerings | Partner capabilities sought | Partner type | Partner area of interest(s) | Other partner skills sought |
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Academic | edge device, machine learning, edge-cloud computing, robotic perception and manipulation for automation |
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We have developed a variety of hardware and machine learning-based software technologies, at a TRL level of 4 or above, for smart manufacturing and autonomous system applications, including: 1. edge device and streamlined machine learning running in edge-cloud computing infrastructure for condition monitoring and predictive maintenance of distributed machines and facities in a complex system; 2. Applicable, interpretable, and generalizable machine learning solutions for process monitoring and quality assurance in production systems 3. Robotic automation of complex manufacturing processes (e.g., arc welding), through integration of multi-modal sensing, inference of process state, and adaptive process control | cyber-security of edge-cloud computing; novel hardware design; companies in the field of IoT and automation |
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Small Business | Access to state-of-the-art facilities, including an advanced electronics assembly line, 3D X-ray inspection, CNC machines, an injection molder, and other cutting-edge manufacturing equipment. These resources offer engineering students hands-on experience in product development and prototyping. In addition to the technology, a network of professionals with diverse business and technical backgrounds serves as mentors, providing guidance in engineering, entrepreneurship, and commercialization. This unique environment fosters both technical skill development and strategic thinking, preparing students for careers in advanced manufacturing and technology-driven industries. |
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Our organization is an integral part of the Hilliard City Lab, leveraging its state-of-the-art facilities to support innovation and hands-on learning. With access to an advanced electronics assembly line, 3D X-ray inspection, CNC machines, an injection molder, and other cutting-edge manufacturing equipment, we provide engineering students with real-world experience in product development and prototyping. Beyond the technology, we connect students with a network of professionals from diverse business and technical backgrounds who serve as mentors, offering guidance in engineering, entrepreneurship, and commercialization. This unique environment fosters both technical skill development and strategic thinking, preparing students for careers in advanced manufacturing and technology-driven industries. | The goal is to serve as an academic research tool while also providing students with valuable hands-on experience. By integrating advanced manufacturing capabilities with real-world applications, the program supports research initiatives while ensuring students gain practical skills in engineering, problem-solving, and innovation. Through direct engagement with industry-relevant technology and mentorship from experienced professionals, students develop both technical expertise and strategic thinking. This dual focus strengthens the bridge between academic learning and real-world application, preparing students for future careers in advanced manufacturing and technology-driven industries while fulfilling the SEE requirement. | Industry partner |
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Academic | In-situ process monitoring, modeling, part qualification of metal additive manufacturing. Physics based/Surrogate/Deep Learning/Machine Learning models for process-structure-property-performance prediction of metal additive parts. |
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High performance computation, Metal Additive Manufacturing Process Modeling, Thermal CFD modeling, Data Driven/Machine Learning/Deep Learning/Surrogate Modeling. | We are looking into part qualification of the additively manufacture oxide dispersed alloys i.e. laser powder bed fusion or directed energy deposition. | Industry partner |
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