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.

Non Destructive Scanning

Non Destructive Scanning

Non Destructive Testing of Chicken Tissue using Capacitance Probes

Printed_dino

Printed_dino

Dr Starly's team reconstructs an entire baby apatosaurus through digital tools and manufacturing technologies

Titanium_implan_Starly1

Titanium_implan_Starly1

Digital reconstruction of critical size defects with custom fit porous medical implants by Electron Beam Melting technologies

Mazak Machine

Mazak Machine

We are streaming controller and machining data to the digital manufacturing commons.

chipsorter

chipsorter

An example of a new operating system to interface with legacy machines to new data model architectures.

manufacturing-rotating-image-02

manufacturing-rotating-image-02

The ISE manufacturing process laboratory with CNC machines reporting data.

3D Printed NCSU Football

3D Printed NCSU Football

Data generated from this football being printed on a metal printer is now stored for storage and fast retrieval for process monitoring analysis.

verification

verification

rawdata

rawdata

WHAT WE DO

01

Blockchain in Manufacturing
"FabRec"

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’. 

04

Cloud Manufacturing Platforms 

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. This work will focus on distributed machine learning algorithms with data privacy as a focus. This is driven by enabling sharing data assets across organizational boundaries.

02

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.

03

Knowledge Graphs in Manufacturing

This work builds a knowledge network graph that links 3D model information, manufacturing process keywords and manufacturing service companies. This information can include material assignment, material specifications, and service suppliers that can provide the material, required hardware, or the expertise to produce the part. This connected data is the foundation of MOKN, while also connecting to existing wider open data available in manufacturing textbooks, magazines, blogs and company websites. 

05

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  characterization technique.

06

Electronic Manufacturing Marketplaces

We are working on automated mechanisms for a 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.

 

THE CREW

OUR STORY

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 Smart Manufacturing through digitally enabled manufacturing.  He invites you to learn more about the lab' activities and encourage your to read our research papers and project pages to help understand our work.

OUR VISION

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.

 
 
 
 

STAY IN TOUCH

bstarly at ncsu edu
406 Daniels Hall
Tel: 919-515-1815
SKYPE: bstarly at ncsu dot edu
111 Lampe Drive
Raleigh, NC 27695
LINKS
ABOUT

bstarly at ncsu edu

Tel: 919-515-1815

111 Lampe Drive

Raleigh, NC 27607

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