Data Intensive Manufacturing Environment Laboratory
Merging the Physical and Digital Realms towards Cyber-Physical Manufacturing Systems.
Research and technology development in discrete and continuous manufacturing processes.
WHAT WE DO
Blockchain in Manufacturing
We have created the first of its implementation of a decentralized approach to handle manufacturing information generated by various organizations using blockchain technology. This decentralized network of manufacturing machines and computing nodes can enable automated transparency of an organization’s capability, third party verification of such capability and automated mechanisms to drive paperless contracts between participants using ‘smart contracts’.
Fog Computing Platforms For Manufacturing
Manufacturing Data is distributed across multiple entities and enterprises. Access to such data is nearly impossible due to restrictions on data ownership, intellectual property, data privacy of those who own the data. Yet, Manufacturing is a tremendous asset and that which is hardly leveraged by small and medium scale manufacturing businesses. What if we could leverage data owned by such SME to help drive more business and enable faster search and discovery through computing tools.
Data Driven Product Design
For decades, CAD software in use by design engineers have hardly changed. Tools such as extrude - revolve - loft and other modeling features allow us to build fairly complex 3D designs. What-if we could completely change the way we model 3D products - research algorithms that allow computers to assist humans in the design of products. Instead of humans instructing computers on what to do - could a more collaborative approach of augmenting human creativity be possible through computing tools.
Just-in-Time Compiler of Product Data
Building on the VMM concept, this project is working towards a faster translation of Product Manufacturing Information (PMI), embedded in standards file formats such as STEP and STEP-NC and rapidly translated to machine instructions through a Just-in-Time (JIT) Compiler. The machine architecture is built on the open sourced LINUX kernel by a software stack that provides hardware abstraction, packaged libraries and an application framework for third party app development.
Monitoring Bioprinting For Quality Control
Bioprinting is the process of automated deposition of biological molecules, such as living cells and associated biomaterials, to form a 3D heterogeneous construct. Currently, assessment of these critical biological quality attributes must be performed offline by subjecting the constructs to destructive assays that require staining and sectioning. This project supports fundamental research to enable predicting the quality attributes of the bioprinted constructs using a real-time and in-process characterization technique.
Electronic Manufacturing Marketplaces
We are working on automated mechanisms for a digitally enabled manufacturing services marketplace, Consumers name their own price and the mechanism will find service bureaus who are willing to make the part under the stated price. Consumers bid and the platform finds a service supplier able to match the stated bid price. The incentive for service providers is the opportunity to market their excess capacity to a deal conscious consumer at a lower price without cannibalizing their existing sales channels.
Dr. Starly obtained his bachelor's degree in Mechanical Engineering from the University of Kerala, India. He immediately continued on to graduate school, completing his Ph.D. in Mechanical Engineering, with a focus on bio-additive manufacturing processes. His career path has led him to an Assistant Professor at the University of Oklahoma, School of Industrial Engineering where he focused much of his work on Additive Manufacturing, Reverse Engineering and Engineered Living Tissue Biofabrication. In 2013, he moved to North Carolina State University, to lead a program in digital manufacturing technologies, where digital models of both products and processes drive innovation in manufacturing. He is among the world-wide experts in Tissue Scaffold Fabrication and 3D bioprinting, His new interest is in Software Defined Manufacturing Machines. He invites you to stop by his office and hear about his goals and how you can be part of the program.
DIME's lab vision is to empower manufacturing science researchers, engineers and educators to utilize data to improve the productivity, reliability and sustainability of manufacturing systems. These manufacturing systems span traditional computer numerical control (CNC), additive manufacturing systems and advanced biomedical manufacturing systems. We believe newer automation processes, particularly intelligent machines and cyber-physical manufacturing systems in manufacturing and design will lead to the next generation of personalized consumer and healthcare products. We intend to demonstrate a pilot to showcase automated data streams from machines into a manufacturing cyberinfrastructure, democratizing access to storage, computing and virtualization resources, federating data sharing from disparate manufacturing environments, while fostering the growth and innovation in the manufacturing research and technology community.
The team is made up of collaborating faculty members from North Carolina State University and outside the university. We have an aspring set of doctoral, master's and undergraduate level students who are working towards several technologies spanning traditional manufacturing, additive and biomedical manufacturing. The students themselves are working towards their dissertations, thesis and short-term projects. If you are interested in being a member, please contact Dr. Starly. Several alumni from our laboratory have graduated and moved on to academia and industry. Their work is acknowledged as they progress towards their own career path.
Click Here to see current members of the DIME lab.