Lu, Y.
, Yang, Z.
, Yeung, H.
, Kim, J.
and Cho, H.
(2020),
CAMERA-BASED COAXIAL MELT POOL MONITORING DATA REGISTRATION FOR LASER POWDER BED FUSION ADDITIVE MANUFACTURING, International Mechanical Engineering Congress & Exposition 2020, Portland, OR, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=930452
(Accessed April 18, 2024)
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CAMERA-BASED COAXIAL MELT POOL MONITORING DATA REGISTRATION FOR LASER POWDER BED FUSION ADDITIVE MANUFACTURING
Published
Author(s)
, , , Jaehyuk Kim, Hyunbo Cho
Abstract
The quality of powder bed fusion (PBF) built parts is highly correlated to the melt pool characteristics. Camera-based coaxial melt pool monitoring (MPM) is widely applied today because it provides high-resolution monitoring on the time and length scales necessary for deep PBF process understanding, in-process defect detection, and real-time control. In order to perform such functions, MPM data has to be registered correctly to a well-defined coordinate system. This paper presents methods for camera-based coaxial melt pool monitoring (MPM) data registration using the build volume coordinate system defined in ISO/ASTM52921, for both open architectures AM systems and 3rd party MPM augmented closed commercial systems. Uncertainties are evaluated for the proposed methods and case studies are provided to demonstrate the effectiveness of the methods.Conference Dates
November 15-18, 2020
Conference Location
Portland, OR
Conference Title
International Mechanical Engineering Congress & Exposition 2020
Pub Type
Conferences
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Keywords
Data registration, Melt pool monitoring, Powder bed fusion, Additive manufacturing, Machine learning
Citation
Created November 15, 2020, Updated December 2, 2020