CESMII Offers Funding for a Wide Range of Projects
Projects fall into a variety of categories in order to deliver value to move Smart Manufacturing forward for all to take advantage of, the Democratization of Smart Manufacturing. We need to address the delivery of new technology and standards, the delivery of education, projects for proof of concepts, the delivery of local examples of success, and local demo centers. With all this in mind, CESMII is funding:
- Enabling R&D Projects – Projects to close specific technology gaps. Explore emerging technologies
- Ecosystem & Workforce Development (EWD) Projects – Develop educational content or delivery infrastructure. Build tools for framing value and driving SM adoption
- SM Platform Capability Projects – Develop core capabilities and tools
- SM Innovation Projects – Solve specific manufacturing problems. Develop Information Models & SM Apps
- SM Application Projects – Demonstrate capabilities of the Innovation Platform through real-world use cases
- SM Innovation Centers – Local examples of Smart Manufacturing benefits, tied to to vertical market applications or horizontal technologies
Enabling R&D Projects
Enabling R&D Projects are very special. This is where CESMII funds research to solve some of the greatest challenges facing industry. Examples include the reduction of CO2 in the manufacture of Cement, or the modeling of energy use through the monitoring of equipment states, or the savings in energy by better understanding the nature of Air Separation – through the use of Digital Twins.
The results of our funded research are then shared as value for CESMII Members. Some research results may be licensed for use on a broader level. You should contact CESMII if you are interested in licensing.
The goal of this project is to develop a number of SM Platform™ ready tools and deploy them on Praxair’s commercial Air Separation Unit for improving energy efficiency.
Self-powered wireless sensor nodes and deployment of energy harvesting approaches; Efficient computational framework to acquire, post-process, and synthesize large quantities of sensory data in real time; In-process monitoring capability with offline big-data analysis techniques.
Predictive process models, data analytics, sensors and machine learning, will be developed to provide a more energy-efficient clinker production process with better quality control.
Improve steel slab quality and continuous caster productivity using Smart Manufacturing (SM) methodologies and technologies to address the top two KPIs of the continuous casting process –yield (minimize defects/rejects) and uptime (reduce UPTA).
The objective of this effort is to mitigate energy waste in manufacturing facilities, and specifically subtractive precision manufacturing, using model-based systems engineering principles.
The primary objective of this project will provide technical staff with technology to sniff out unknown or unexpected energy consumption across the facility. Prove the hypothesis that energy waste can be detected without the use of expensive energy meters.
The goal is to develop design tools and open source reference architectures that will enable engineers to reliably assess and implement data flow requirements for affordable, scalable, accessible, and portable smart manufacturing systems.
The goal of this project is to develop technologies on data modeling, machine learning and data-centric analytics for smart Aerospace additive manufacturing and to implement these innovations using data from working Aerospace manufacturing facilities.
The goal is to develop an instrumented bench scale extrusion kit and platform that can be integrated into education modules (labs, projects, class materials).
The goal of this project is to develop a SM workforce model that leverages existing education and workforce training systems to develop the workforce needed for SM.
Real World proof of concept installations delivering value for CESMII members through use of the Smart Manufacturing Innovation Platform, Profiles and Apps Three Application Projects are defined in this Project Round Three Application Project proposals have moved to...