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Title: An adaptive integration scheme for heat conduction in additive manufacturing

Journal Article · · Applied Mathematical Modelling

Solidification dynamics are important for determining final microstructure in additively manufactured parts. Recently, researchers have adopted semi-analytical approaches for predicting heat conduction effects at length and time scales not accessible to complex multi-physics numerical models. The present work focuses on improving a semi-analytical heat conduction model for additive manufacturing by designing an adaptive integration technique. The proposed scheme considers material properties, process conditions, and the inherent physical behavior of the transient heat conduction around both stationary and moving heat sources. Both the adaptive integration scheme and a technique for calculating only the points within the melt pools are described in detail. The full algorithm is then implemented and compared against a simple Riemann sum integration scheme for a variety of cases that highlight process and material variations relevant to additive manufacturing. Lastly, the new scheme is shown to have significant improvements in computational efficiency, solution accuracy, and usability.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Electricity (OE)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
2204323
Alternate ID(s):
OSTI ID: 1542676; OSTI ID: 1559693
Journal Information:
Applied Mathematical Modelling, Journal Name: Applied Mathematical Modelling Vol. 75 Journal Issue: C; ISSN 0307-904X
Publisher:
ElsevierCopyright Statement
Country of Publication:
United Kingdom
Language:
English
Citation Metrics:
Cited by: 31 works
Citation information provided by
Web of Science

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Figures / Tables (18)