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PUBLICATIONS

Using Coaxial Melt Pool Monitoring Images to Estimate Cooling Rate for Powder Bed Fusion Additive Manufacturing

Published

Author(s)

Zhuo Yang, Brandon Lane, Yan Lu, Ho Yeung, Jaehyuk Kim, Yande Ndiaye, Sundar Krishnamurty

Abstract

Cooling rate is a decisive index to characterize melt pool solidification and determine local microstructure formation in metal powder bed fusion processes. Traditional methods to estimate the cooling rate include in-situ temperature measurement and thermal simulation. However, these methods may not be accurate or efficient enough under complex conditions in real-time. This paper proposes a method to approximate the melt pool cooling rate using temperature profile acquired via thermally-calibrated melt pool camera, and based on continuous pixel tracking result. The proposed method can estimate the temperature and associated cooling rate for every pixel immediately, which is potentially applicable for real-time process monitoring. This paper focuses on investigating image data processing, method development, and cooling condition analysis. This work presents the preliminary result of the cooling rate estimation under different conditions such as position, layer number, and overhanging.
Proceedings Title
USING COAXIAL MELT POOL MONITORING IMAGES TO ESTIMATE COOLING RATE FOR POWDER BED FUSION ADDITIVE MANUFACTURING
Conference Dates
August 14-17, 2022
Conference Location
St. Louis, MO, US
Conference Title
IDETC-CIE 2022
Pub Type
Conferences

Download Paper

https://doi.org/10.1115/DETC2022-89934
Local Download

Keywords

Cooling rate, additive manufacturing, powder bed fusion, in-situ monitoring, coaxial melt pool monitoring
Additive manufacturing

Citation

Yang, Z. , Lane, B. , Lu, Y. , Yeung, H. , Kim, J. , Ndiaye, Y. and Krishnamurty, S. (2022), Using Coaxial Melt Pool Monitoring Images to Estimate Cooling Rate for Powder Bed Fusion Additive Manufacturing, USING COAXIAL MELT POOL MONITORING IMAGES TO ESTIMATE COOLING RATE FOR POWDER BED FUSION ADDITIVE MANUFACTURING, St. Louis, MO, US, [online], https://doi.org/10.1115/DETC2022-89934, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=934408 (Accessed October 8, 2025)

Issues

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Created November 11, 2022, Updated December 19, 2022
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