Luke Scime Email & Phone Number

Knoxville, Tn, Us

Oak Ridge, Tn

1. Leading development of Peregrine, an AI-based data analysis and visualization tool for powder bed printers. Peregrine is printer and sensor agnostic, tested on 14 different platforms, with 12+ active ORNL users and licenses assigned to 7 companies and 7 government entities.2. Leading a multi-year effort to integrate 15+ powder bed printers and their post-processing operations into the Digital Platform. Includes developing sensor hardware, deploying compute and networking infrastructure, designing software tools, and creating part tracking mechanisms.3. Leading the Augmented Intelligence Relay (AIR) team to demonstrate prediction of local tensile properties of L-PBF components using digitally twinned datasets for the AMMT nuclear program.4. Engaging with 40+ visiting companies, government agencies, and universities each year.5. Leading development of Pigeon, an AI image segmentation tool and API which is used by ORNL researchers for microscopy, robotics, DED printing, and electronics printing.

Oak Ridge, Tn

1. Invented the Dynamic Segmentation Convolutional Neural Network (DSCNN) architecture for analysis of multi-modal in-process layer-wise imagery from powder bed printing processes.2. Developed powder bed data analysis and visualization tools for the AMO and GVSC programs.3. Developed computer vision tools for high-speed melt pool imaging data from DED processes.

Pittsburgh, Pa

1. Collaborated with GBBN Architects, contractors, and CMU administration for two years to design an advanced manufacturing laboratory including layout, MEP specifications, and work controls.2. Operated, implemented training for, and performed maintenance on an EOS M290 L-PBF printer, an ExOne Innovent binder jet printer, a 1600 ˚C heat treatment furnace, and a wire EDM.3. Developed new safety protocols alongside EH&S to ensure a safe working environment for the entire research group and served as a member of the Graduate Student Safety Subcommittee.

Pittsburgh, Pa

1. Dissertation entitled Methods for the Expansion of Additive Manufacturing Process Space and the Development of In-Situ Process Monitoring Methodologies. 2. Classified L-PBF melt pool morphologies based on high-speed visible-light camera data and correlated them with processing defects (e.g., keyholing porosity) using machine learning.3. Classified surface-visible, millimeter-scale laser powder bed anomalies based on visible-light camera data using a modified multi-scale convolutional neural network.4. Developed new laser scan strategies to increase low cycle fatigue life of In718 L-PBF parts by 2x.5. Studied the impact of non-standard powders for on part surface roughness and porosity in L-PBF.6. Mapped the influence of L-PBF process parameters on melt pool geometry and defect variability for the AlSi10Mg and In718 material systems using experimental and basic analytical techniques.7. Engaged with 50+ companies and government agencies via the NextManufacturing Consortium.8. Lead operator of CMU's ExOne Innovent - a metal, binder jetting Additive Manufacturing process. 9. Operator of CMU's EOS M290 - a metal, laser powder bed fusion Additive Manufacturing process.

Manchester, Nh

1. Performed CAD and assembly work on a medical device leveraging SLS nylon AM for prototyping.2. Created a data acquisition system with documentation to meet US PTO and FDA requirements.

Fairmont, Wv

1. Programmed the inverse kinematics for a 5-DoF robotic arm used for testing V&V procedures.

Fairmont, Wv

1. Developed a multi-robot system for cooperative room mapping used for testing V&V procedures.

Doctor Of Philosophy (Ph.D.), Mechanical Engineering

Master’S Degree, Mechanical Engineering

Bachelor’S Degree, Mechanical Engineering

Minor, Electrical Engineering

High School