Monitoring of laser metal-wire additive manufacturing temperature field using infrared thermography

2018 ◽  
Vol 47 (6) ◽  
pp. 604002 ◽  
Author(s):  
朱进前 Zhu Jinqian ◽  
凌泽民 Ling Zemin ◽  
杜发瑞 Du Farui ◽  
丁雪萍 Ding Xueping ◽  
李慧敏 Li Huimin
Keyword(s):  
Temperature Field ◽  
Additive Manufacturing ◽  
Infrared Thermography ◽  
Metal Wire

Application of infrared thermography for laser metal-wire additive manufacturing in vacuum

2017 ◽  
Vol 81 ◽  
pp. 166-169 ◽  
Author(s):  
X.P. Ding ◽  
H.M. Li ◽  
J.Q. Zhu ◽  
G.Y. Wang ◽  
H.Z. Cao ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Infrared Thermography ◽  
Metal Wire

scholarly journals Effect of Filler Metal Type on Microstructure and Mechanical Properties of Fabricated NiAl Bronze Alloy Using Wire Arc Additive Manufacturing System

Metals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 513
Author(s):  
Jae Won Kim ◽  
Jae-Deuk Kim ◽  
Jooyoung Cheon ◽  
Changwook Ji
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Additive Manufacturing ◽  
Filler Metal ◽  
Gas Metal Arc Welding ◽  
Metal Wire ◽  
Cold Metal Transfer ◽  
Metal Type ◽  
Cold Metal ◽  
Wire Arc Additive Manufacturing

This study observed the effect of filler metal type on mechanical properties of NAB (NiAl-bronze) material fabricated using wire arc additive manufacturing (WAAM) technology. The selection of filler metal type is must consider the field condition, mechanical properties required by customers, and economics. This study analyzed the bead shape for representative two kind of filler metal types use to maintenance and fabricated a two-dimensional bulk NAB material. The cold metal transfer (CMT) mode of gas metal arc welding (GMAW) was used. For a comparison of mechanical properties, the study obtained three specimens per welding direction from the fabricated bulk NAB material. In the tensile test, the NAB material deposited using filler metal wire A showed higher tensile strength and lower elongation (approx. +71 MPa yield strength, +107.1 MPa ultimate tensile strength, −12.4% elongation) than that deposited with filler metal wire B. The reason is that, a mixture of tangled fine α platelets and dense lamellar eutectoid α + κIII structure with β´ phases was observed in the wall made with filler metal wire A. On the other hand, the wall made with filler metal wire B was dominated by coarse α phases and lamellar eutectoid α + κIII structure in between.

Uncertainty Quantification in Metallic Additive Manufacturing Through Data-Driven Modelling Based on Multi-Scale Multi-Physics Models and Limited Experiment Data

2020 ◽  
Author(s):  
Zhuo Wang ◽  
Chen Jiang ◽  
Mark F. Horstemeyer ◽  
Zhen Hu ◽  
Lei Chen
Keyword(s):  
Temperature Field ◽  
Additive Manufacturing ◽  
Uncertainty Quantification ◽  
Surrogate Modeling ◽  
Data Driven ◽  
Modeling Framework ◽  
High Quality ◽  
Experimental Calibration ◽  
Multi Scale ◽  
Metallic Additive

Abstract One of significant challenges in the metallic additive manufacturing (AM) is the presence of many sources of uncertainty that leads to variability in microstructure and properties of AM parts. Consequently, it is extremely challenging to repeat the manufacturing of a high-quality product in mass production. A trial-and-error approach usually needs to be employed to attain a product with high quality. To achieve a comprehensive uncertainty quantification (UQ) study of AM processes, we present a physics-informed data-driven modeling framework, in which multi-level data-driven surrogate models are constructed based on extensive computational data obtained by multi-scale multi-physical AM models. It starts with computationally inexpensive metamodels, followed by experimental calibration of as-built metamodels and then efficient UQ analysis of AM process. For illustration purpose, this study specifically uses the thermal level of AM process as an example, by choosing the temperature field and melt pool as quantity of interest. We have clearly showed the surrogate modeling in the presence of high-dimensional response (e.g. temperature field) during AM process, and illustrated the parameter calibration and model correction of an as-built surrogate model for reliable uncertainty quantification. The experimental calibration especially takes advantage of the high-quality AM benchmark data from National Institute of Standards and Technology (NIST). This study demonstrates the potential of the proposed data-driven UQ framework for efficiently investigating uncertainty propagation from process parameters to material microstructures, and then to macro-level mechanical properties through a combination of advanced AM multi-physics simulations, data-driven surrogate modeling and experimental calibration.

scholarly journals Infrared thermography of welding zones produced by polymer extrusion additive manufacturing

2016 ◽  
Vol 12 ◽  
pp. 71-76 ◽  
Author(s):  
Jonathan E. Seppala ◽  
Kalman D. Migler
Keyword(s):  
Additive Manufacturing ◽  
Infrared Thermography ◽  
Polymer Extrusion

Temperature distribution simulations during electron beam freeform fabrication process based on the fully threaded tree

2019 ◽  
Vol 25 (6) ◽  
pp. 989-997
Author(s):  
Yajun Yin ◽  
Wei Duan ◽  
Kai Wu ◽  
Yangdong Li ◽  
Jianxin Zhou ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Temperature Field ◽  
Electron Beam ◽  
Additive Manufacturing ◽  
Temperature Distribution ◽  
Design Methodology ◽  
Content Type ◽  
Freeform Fabrication ◽  
Simulation Based ◽  
Simulation Results

Purpose The purpose of this study is to simulate the temperature distribution during an electron beam freeform fabrication (EBF3) process based on a fully threaded tree (FTT) technique in various scales and to analyze the temperature variation with time in different regions of the part. Design/methodology/approach This study presented a revised model for the temperature simulation in the EBF3 process. The FTT technique was then adopted as an adaptive grid strategy in the simulation. Based on the simulation results, an analysis regarding the temperature distribution of a circular deposit and substrate was performed. Findings The FTT technique was successfully adopted in the simulation of the temperature field during the EBF3 process. The temperature bands and oscillating temperature curves appeared in the deposit and substrate. Originality/value The FTT technique was introduced into the numerical simulation of an additive manufacturing process. The efficiency of the process was improved, and the FTT technique was convenient for the 3D simulations and multi-pass deposits.

Laser Assisted Additive Manufacturing by Rotating Metal Wire Feeder

2018 ◽  
Vol 35 (9) ◽  
pp. 847-852 ◽  
Author(s):  
Jaegu Kim ◽  
Chang-Woo Lee
Keyword(s):  
Additive Manufacturing ◽  
Metal Wire

Effect of reheating zones in additive manufacturing by means of electron beam metal wire deposition method

2020 ◽  
Vol 28 ◽  
pp. 68-75
Author(s):  
Daria A. Gaponova ◽  
Regina V. Rodyakina ◽  
Alexander V. Gudenko ◽  
Andrey P. Sliva ◽  
Alexey V. Shcherbakov
Keyword(s):  
Electron Beam ◽  
Additive Manufacturing ◽  
Metal Wire ◽  
Deposition Method

scholarly journals Measurement of the in-plane temperature field on the build plate during polymer extrusion additive manufacturing using infrared thermometry

2020 ◽  
Vol 92 ◽  
pp. 106866
Author(s):  
Hardikkumar Prajapati ◽  
Swapnil S. Salvi ◽  
Darshan Ravoori ◽  
Ankur Jain
Keyword(s):  
Temperature Field ◽  
Additive Manufacturing ◽  
Polymer Extrusion ◽  
Infrared Thermometry ◽  
Plane Temperature

scholarly journals Additive Manufacturing of Complex Components through 3D Plasma Metal Deposition—A Simulative Approach

Metals ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 574 ◽  
Author(s):  
Khaled Alaluss ◽  
Peter Mayr
Keyword(s):  
Temperature Field ◽  
Additive Manufacturing ◽  
Residual Stresses ◽  
Field Distribution ◽  
Base Material ◽  
Metal Deposition ◽  
Temperature Fields ◽  
Experimental Investigations ◽  
Temperature Field Distribution ◽  
Elastic Plastic

This study examines simulative experimental investigations on the additive manufacturing of complex component geometries using 3D plasma metal deposition (3DPMD). Here, complex contour surfaces for a cross-rolling tool were produced from weld metals in multilayer technology through 3DPMD. As a consequence of the special features of 3DPMD with large-weld metal volumes, greatly differing properties between base material/deposited material and asymmetrical heat input, the resulting shrinkage, deformation and residual stresses are particularly critical. These lead to dimensional and form deviations as well as the formation of cracks, which has a negative influence on the quality of the plasma deposition-welded component structures. By means of the thermo-elastic-plastic simulation model, the temperature field distribution, deformation, and residual stresses occurring during additive 3DPMD of tool contours were predicted and analyzed. The temperature field distribution and its gradients were determined using the ellipsoid heat-source model for the 3DPMD process. On this basis, a coupled thermo-elastic-plastic structural–mechanical analysis was performed. Accordingly, the results achieved were used for the production of almost-net-shaped tool contour surfaces with predefined layer properties. The acquired simulation results of the temperature fields, deformation, and residual stress condition show good alignment with the experimental results.

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