Real-Time Detection and Correction of Flaws and Defects in Additive Manufacturing
Faculty Mentor
Dr. Hossain Ahmed, Dr. Hayri Sazer
Location
Poster 243
Session Format
Poster Presentation
Academic Unit
Department of Mechanical Engineering
Background
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The expected U.S. market value of 3D printing applications is $26 billion in 2022.
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From complex jet engine parts to hearing aids, 3D printing is shifting from the niche market of prototype fabrication to high-volume, high-performing, and custom-made parts.
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Despite this skyrocketing growth in Additive Manufacturing, utilization of its full potential has always been limited by the quality control issues and certification of the manufactured parts to be used in service.
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A full post-built inspection of each component is typically required to determine the fitness for the final application, which is not always feasible, especially in a large continuous manufacturing facility or in applications that require high dimensional accuracy.
Keywords
Allen E. Paulson College of Engineering and Computing Student Research Symposium, LiDAR
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Presentation Type and Release Option
Presentation (File Not Available for Download)
Start Date
2022 12:00 AM
January 2022
Real-Time Detection and Correction of Flaws and Defects in Additive Manufacturing
Poster 243
