A Computational Fluid dynamic (CFD) Modeling and FE Simulation of (NiBSi) Coating via Selective Laser Melting Process

Powder bed methods, including selective laser melting (SLM), provide significant versatility in both design and manufacturing processes. However, the existing limitation of this method lies in its ability to produce single-material parts. For intricate multi-material requirements such as coating processes, optimal solutions involve a customized integration of diverse materials required to control the melting and solidification process within the different metals’ interfaces. In this study, a computational fluid dynamic (CFD) model is created to analyze the two-metal SLM process, two types of metal used in this study NiBSi as a coat material on the surface of the stainless steel 316L. The model relies on classical physics laws to derive the governing equations, which are subsequently solved using the ANSYS FLUENT software. A User-Defined Function (UDF) written in C-language is utilized to define the heat source, and then it is executed over the cell face center in each time step. The melting of NiBSi powder on a stainless steel substrate was studied, and liquid mass fraction, laser power, and scanning speed were considered as the parameters of the investigation. The model undergoes a validation process using online-published data to confirm its accuracy and reliability before exploring four power values and four scanning speeds as parameters. The model predictions revealed a perfect interface region between the two metals and a clear correlation between the laser power and the size of the fully melted zone. 10

Authors

Institutions

Publication Details

Journal
Iraqi Journal of Laser
Published
2024-12-15
DOI
https://doi.org/10.31900/ijl.v23i2.470
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Computational Fluid dynamic (CFD) Modeling and FE Simulation of (NiBSi) Coating via Selective Laser Melting Process

Ziad Aeyad Taha, Walaa Isam Rasool
Iraqi Journal of Laser
Additive Manufacturing and 3D Printing Technologies
article

A Computational Fluid dynamic (CFD) Modeling and FE Simulation of (NiBSi) Coating via Selective Laser Melting Process

Ziad Aeyad Taha, Walaa Isam Rasool
article en

Abstract

Powder bed methods, including selective laser melting (SLM), provide significant versatility in both design and manufacturing processes. However, the existing limitation of this method lies in its ability to produce single-material parts. For intricate multi-material requirements such as coating processes, optimal solutions involve a customized integration of diverse materials required to control the melting and solidification process within the different metals’ interfaces. In this study, a computational fluid dynamic (CFD) model is created to analyze the two-metal SLM process, two types of metal used in this study NiBSi as a coat material on the surface of the stainless steel 316L. The model relies on classical physics laws to derive the governing equations, which are subsequently solved using the ANSYS FLUENT software. A User-Defined Function (UDF) written in C-language is utilized to define the heat source, and then it is executed over the cell face center in each time step. The melting of NiBSi powder on a stainless steel substrate was studied, and liquid mass fraction, laser power, and scanning speed were considered as the parameters of the investigation. The model undergoes a validation process using online-published data to confirm its accuracy and reliability before exploring four power values and four scanning speeds as parameters. The model predictions revealed a perfect interface region between the two metals and a clear correlation between the laser power and the size of the fully melted zone. 10

Iraqi Journal of LaserVol. 23(2)
University of Baghdad (IQ)
Openalex Percentile: Top 67%
Additive Manufacturing and 3D Printing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.