Digital twins to ensure greater productivity and reliability

Related research

Mill 19 growing a digital backbone

Carnegie Mellon engineers and scientists are building the foundational data infrastructure that will support and enable data-driven advanced manufacturing research for decades to come. The digital backbone converges and empowers new manufacturing technologies, artificial intelligence, digital twins, and virtualized environments.

Industrial robots building with Lego® bricks at Mill 19

New robotic assembly/disassembly testbed will provide a working model of digital twin technology used in manufacturing equipment, production lines, and entire factory operations that can improve product design and development, process optimization, predictive maintenance, quality control, training and simulation, and real-time monitoring and control.

Bringing live volumetric data to digital twin environments

Researchers will deploy multiple fixed Lidar and video sensors to create a live wide-area volumetric capture and streaming platform to generate a digital twin of the Mill 19 high bay.

Digital twins to guide and optimize embedded 3D printing of fiber-reinforced composites

Researchers apply molecular simulations to build predictive models of fiber/epoxy ink microstructure during embedded 3D printing by building mesoscale models of ink composites, simulating inks in flow, predicting fiber response, and relating the mesoscopic predictions to macroscopic flow conditions during FRE-3D printing.

Digital twins to ready warehouse robots

Researchers are developing novel theories and tools to generate digital twins of typical manufacturing environments for assessing and training intelligent robots in manufacturing.

Digital twins to train and support advanced manufacturing workforce

A cyber-physical-social digital twin for diagnosing human-induced root causes of advanced manufacturing (AM) faults and production inefficiencies is being developed to provide automated, in-time action corrective mechanisms that can surpass current human-in-the-loop functionality and advance industry training for skilled AM workforce.

Interactive digital twins for manufacturing

Researchers are creating an assistive guidance system for machine operators based on interaction with digital twins.

Next generation prototyping using robots and Legos

Researchers are developing a synthesized digital twin for the end-of-arm tooling components that will be used for robotic assembly and disassembly of Lego blocks at the Mill 19 robotic testbed. Task planning modules for the Lego designs based on either a digital image or text description will enable automatic planning of the assembly and disassembly processes.

Ultra low-latency gigital backbone for safe manufacturing

Researchers are designing wireless connectivity that can deliver safety alerts from sensors to robots at the millisecond-scale that will be deployed and evaluated at the Mill 19 light curtain testbed for potential scaling to other testbeds.