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AA, IM and AME Can Propel Smart Manufacturing Forward

Dean Bartles
 
 
 
 
 
 
 
 
 
 
 
 
 
 
  
 Dean L. Bartles, PhD, FSME
Chief Manufacturing Officer,
UI LABS
Executive Director,
Digital Manufacturing and Design Innovation Institute
 
There’s no denying that the way products are being manufactured today is changing. At the Digital Manufacturing and Design Innovation Institute (DMDII) in Chicago, the employees of UI LABS are a catalyst for organizing and driving a transformation that’s well underway.
 
UI LABS and the DMDII members have focused a research agenda on three technology “thrust” categories that can propel the industry forward:
Advanced Analysis (AA) — AA is the use of computational analysis techniques of structural systems in operating environments that fosters design optimization. When linked to the solid modeling software, technical data can be altered based on the analysis and manufacturing processes can be adjusted accordingly.
 
Intelligent Machining (IM) — An IM is a device or set of devices comprised of an interoperable framework of hardware, sensors and software solutions that support heuristic process planning, adaptive control, decision-making and management of manufacturing processes. It allows for continuous improvement toward an optimal solution for meeting various customer requirements, such as form, fit, function, time and cost.
 
Advanced Manufacturing Enterprise (AME) — AME is a set of robust, digitally driven manufacturing strategies and integrated capabilities that can dramatically reduce the cost and time of producing complex systems in today’s global manufacturing enterprises. One is an industrial information infrastructure that can pass all relevant data between design, fabrication, test, and sustainment operations quickly and without distortion, error, or omission regardless of geographic location. Another is advanced engineering tools and practices that eliminate multiple design, prototype, and test iterations required for product or process qualification. Yet another is supply network integration technologies and management practices that provide connectivity and transparency and enhance collaboration among disparate and geographically distant organizations in the supply network, relentlessly shortening lead times.
 
Based on the DMDII’s Technology Roadmap, as well as a Strategic Investment Plan supporting research, the organization asked its members to propose solutions to industry issues.
 
As a result, about $80 million worth of research projects will take place in the next two years, to start.  While all of the projects are revolutionary, here are a few that highlight the potential of smart manufacturing:
 
  • DMDII-15-13 Cyber Security for Intelligent Machines
Goal: Improve the security of digital manufacturing solutions and develop tools that increase manufacturing organizations’ cyber security.
 
  • DMDII-15-14 Hardware/Software Toolkit for Real-time Machine and Process Diagnostics, Monitoring and Self-Correction
Goal: Implement machine intelligence into manufacturing machines. The scope includes new machines with built-in sensors and intelligence, as well as legacy machines and systems retrofitted with sensors and intelligence.
 
  • DMDII-15-16 Open Source Software Applications for Digital Manufacturing
Goal: Populate the Digital Manufacturing Commons online community with open data and software, as well as case studies that show how real-world problems were solved.
 
  • DMDII-15-04 Shop Floor Augmented Reality and Wearable Computing
Goal: Form new digital connections between the manufacturing shop-floor worker and the digital thread, through wearable and mobile computing, as well as data visualization.
 
The IP being developed in these projects will be commercialized, providing solutions to people working to revolutionize the process and business of making things.
 
This “digital train” has left the station and is driving toward revolutionizing manufacturing in the 21st century. It’s time to hop on board.
 
Bartles is the 2016 SME president.


Published Date : 4/29/2016

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