CAMERA-BASED COAXIAL MELT POOL MONITORING DATA REGISTRATION FOR LASER POWDER BED FUSION ADDITIVE MANUFACTURING

Published

November 16, 2020

Author(s)

Yan Lu, Zhuo Yang, Ho Yeung, 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

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 July 2, 2025)