The Experts below are selected from a list of 34365 Experts worldwide ranked by ideXlab platform
Luis I Escano - One of the best experts on this subject based on the ideXlab platform.
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in situ characterization and quantification of melt pool variation under constant input energy density in laser powder bed fusion Additive Manufacturing Process
Additive manufacturing, 2019Co-Authors: Qili Guo, Cang Zhao, Kamel Fezzaa, Lianghua Xiong, Luis I Escano, Mohammad S H Hojjatzadeh, Wes Everha, Niranjan D Parab, Lianyi CheAbstract:Abstract Size and shape of a melt pool play a critical role in determining the microstructure in Additively manufactured metals. However, it is very challenging to directly characterize the size and shape of the melt pool beneath the surface of the melt pool during the Additive Manufacturing Process. Here, we report the direct observation and quantification of melt pool variation during the laser powder bed fusion (LPBF) Additive Manufacturing Process under constant input energy density by in-situ high-speed high-energy x-ray imaging. We show that the melt pool can undergo different melting regimes and both the melt pool dimension and melt pool volume can have orders-of-magnitude change under a constant input energy density. Our analysis shows that the significant melt pool variation cannot be solely explained by the energy dissipation rate. We found that energy absorption changes significantly under a constant input energy density, which is another important cause of melt pool variation. Our further analysis reveals that the significant change in energy absorption originates from the separate roles of laser power and scan speed in depression zone development. The results reported here are important for understanding the laser powder bed fusion Additive Manufacturing Process and guiding the development of better metrics for Processing parameter design.
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revealing particle scale powder spreading dynamics in powder bed based Additive Manufacturing Process by high speed x ray imaging
Scientific Reports, 2018Co-Authors: Luis I Escano, Cang Zhao, Kamel Fezzaa, Lianghua Xiong, Niranjan D Parab, Qilin Guo, Wes Everhart, Tao Sun, Lianyi ChenAbstract:Powder spreading is a key step in the powder-bed-based Additive Manufacturing Process, which determines the quality of the powder bed and, consequently, affects the quality of the manufactured part. However, powder spreading behavior under Additive Manufacturing condition is still not clear, largely because of the lack of particle-scale experimental study. Here, we studied particle-scale powder dynamics during the powder spreading Process by using in-situ high-speed high-energy x-ray imaging. Evolution of the repose angle, slope surface speed, slope surface roughness, and the dynamics of powder clusters at the powder front were revealed and quantified. Interactions of the individual metal powders, with boundaries (substrate and container wall), were characterized, and coefficients of friction between the powders and boundaries were calculated. The effects of particle size on powder flow dynamics were revealed. The particle-scale powder spreading dynamics, reported here, are important for a thorough understanding of powder spreading behavior in the powder-bed-based Additive Manufacturing Process, and are critical to the development and validation of models that can more accurately predict powder spreading behavior.
Huijun Li - One of the best experts on this subject based on the ideXlab platform.
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the influence of post production heat treatment on the multi directional properties of nickel aluminum bronze alloy fabricated using wire arc Additive Manufacturing Process
Additive manufacturing, 2018Co-Authors: Chen Shen, Lei Yuan, Donghong Ding, Dominic Cuiuri, Stephen Van Duin, Ying Wang, Huijun LiAbstract:Abstract In this paper, a nickel-aluminum bronze alloy component is built using wire-arc Additive Manufacturing Process. In order to investigate the influence of anisotropy introduced by the wire-arc Additive Manufacturing Process, the layer-by-layer manufactured components with different post-production heat treatments are characterized by optical and scanning electron microscopy morphologies, X-ray diffraction and mechanical tests in longitudinal, transverse and normal directions. The experimental results show that the deposit exhibits higher strengths in the longitudinal and transverse direction than in the normal direction. Also, the ductility of the alloy is significantly improved with the designed quenching and tempering method, and competitive mechanical properties are achieved when tempering temperature reaches 650 °C. In addition, the anisotropy in the Additively manufactured alloy can be effectively modified by the quenching and tempering heat treatments.
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Influences of deposition current and interpass temperature to the Fe3Al-based iron aluminide fabricated using wire-arc Additive Manufacturing Process
The International Journal of Advanced Manufacturing Technology, 2016Co-Authors: Chen Shen, Zengxi Pan, Donghong Ding, Dominic Cuiuri, Huijun LiAbstract:This research presents an innovative wire-arc Additive Manufacturing Process for fabricating Fe3Al-based iron aluminide buildup walls with 30 at.% Al content. The alloy is produced in situ through controlled addition of the elemental iron and aluminum components into the welding Process. The influences of major Process parameters, including deposition current and interpass temperature to the material and mechanical properties of the buildup walls are investigated using optical microstructure analysis, hardness testing, tensile testing, X-ray diffraction phase characterization, and electron dispersive spectroscopy. The results have indicated that deposition current is the dominant factor to the grain size in the buildup walls, and interpass temperature is critical for preventing stress induced cracking.
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Fabrication of Fe-FeAl Functionally Graded Material Using the Wire-Arc Additive Manufacturing Process
Metallurgical and Materials Transactions B, 2016Co-Authors: Chen Shen, Jon Roberts, Zengxi Pan, Dominic Cuiuri, Huijun LiAbstract:A functionally gradient iron-aluminum wall structure with aluminum composition gradient from 0 at. pct to over 50 at. pct is fabricated using a wire-arc Additive Manufacturing (WAAM) system. The as-fabricated alloy is investigated using optical microstructure analysis, hardness testing, tensile testing, X-ray diffraction phase characterization, and electron-dispersive spectrometry. The comprehensive analysis of the experimental samples has shown that the WAAM system can be used for Manufacturing iron aluminide functionally graded material with full density, desired composition, and reasonable mechanical properties.
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Fabrication of iron-rich Fe-Al intermetallics using the wire-arc Additive Manufacturing Process
Additive Manufacturing, 2015Co-Authors: Chen Shen, Zengxi Pan, Yan Ma, Dominic Cuiuri, Huijun LiAbstract:A wire-arc Additive Manufacturing (WAAM) system is used to fabricate iron rich Fe-Al intermetallics with 25. at% aluminum content. The alloy is produced in situ through controlled addition of the elemental iron and aluminum components into the welding Process. The properties of the fabricated material are assessed using optical microstructure analysis, hardness testing, tensile testing, X-ray diffraction phase characterization and electron dispersive spectrometry. It is shown that the WAAM system is capable of producing iron rich Fe-Al intermetallics with higher yield strength and similar room temperature ductility when compared to equivalent materials produced using powder metallurgy.
Lianghua Xiong - One of the best experts on this subject based on the ideXlab platform.
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in situ characterization and quantification of melt pool variation under constant input energy density in laser powder bed fusion Additive Manufacturing Process
Additive manufacturing, 2019Co-Authors: Qili Guo, Cang Zhao, Kamel Fezzaa, Lianghua Xiong, Luis I Escano, Mohammad S H Hojjatzadeh, Wes Everha, Niranjan D Parab, Lianyi CheAbstract:Abstract Size and shape of a melt pool play a critical role in determining the microstructure in Additively manufactured metals. However, it is very challenging to directly characterize the size and shape of the melt pool beneath the surface of the melt pool during the Additive Manufacturing Process. Here, we report the direct observation and quantification of melt pool variation during the laser powder bed fusion (LPBF) Additive Manufacturing Process under constant input energy density by in-situ high-speed high-energy x-ray imaging. We show that the melt pool can undergo different melting regimes and both the melt pool dimension and melt pool volume can have orders-of-magnitude change under a constant input energy density. Our analysis shows that the significant melt pool variation cannot be solely explained by the energy dissipation rate. We found that energy absorption changes significantly under a constant input energy density, which is another important cause of melt pool variation. Our further analysis reveals that the significant change in energy absorption originates from the separate roles of laser power and scan speed in depression zone development. The results reported here are important for understanding the laser powder bed fusion Additive Manufacturing Process and guiding the development of better metrics for Processing parameter design.
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revealing particle scale powder spreading dynamics in powder bed based Additive Manufacturing Process by high speed x ray imaging
Scientific Reports, 2018Co-Authors: Luis I Escano, Cang Zhao, Kamel Fezzaa, Lianghua Xiong, Niranjan D Parab, Qilin Guo, Wes Everhart, Tao Sun, Lianyi ChenAbstract:Powder spreading is a key step in the powder-bed-based Additive Manufacturing Process, which determines the quality of the powder bed and, consequently, affects the quality of the manufactured part. However, powder spreading behavior under Additive Manufacturing condition is still not clear, largely because of the lack of particle-scale experimental study. Here, we studied particle-scale powder dynamics during the powder spreading Process by using in-situ high-speed high-energy x-ray imaging. Evolution of the repose angle, slope surface speed, slope surface roughness, and the dynamics of powder clusters at the powder front were revealed and quantified. Interactions of the individual metal powders, with boundaries (substrate and container wall), were characterized, and coefficients of friction between the powders and boundaries were calculated. The effects of particle size on powder flow dynamics were revealed. The particle-scale powder spreading dynamics, reported here, are important for a thorough understanding of powder spreading behavior in the powder-bed-based Additive Manufacturing Process, and are critical to the development and validation of models that can more accurately predict powder spreading behavior.
Kamel Fezzaa - One of the best experts on this subject based on the ideXlab platform.
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in situ characterization and quantification of melt pool variation under constant input energy density in laser powder bed fusion Additive Manufacturing Process
Additive manufacturing, 2019Co-Authors: Qili Guo, Cang Zhao, Kamel Fezzaa, Lianghua Xiong, Luis I Escano, Mohammad S H Hojjatzadeh, Wes Everha, Niranjan D Parab, Lianyi CheAbstract:Abstract Size and shape of a melt pool play a critical role in determining the microstructure in Additively manufactured metals. However, it is very challenging to directly characterize the size and shape of the melt pool beneath the surface of the melt pool during the Additive Manufacturing Process. Here, we report the direct observation and quantification of melt pool variation during the laser powder bed fusion (LPBF) Additive Manufacturing Process under constant input energy density by in-situ high-speed high-energy x-ray imaging. We show that the melt pool can undergo different melting regimes and both the melt pool dimension and melt pool volume can have orders-of-magnitude change under a constant input energy density. Our analysis shows that the significant melt pool variation cannot be solely explained by the energy dissipation rate. We found that energy absorption changes significantly under a constant input energy density, which is another important cause of melt pool variation. Our further analysis reveals that the significant change in energy absorption originates from the separate roles of laser power and scan speed in depression zone development. The results reported here are important for understanding the laser powder bed fusion Additive Manufacturing Process and guiding the development of better metrics for Processing parameter design.
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revealing particle scale powder spreading dynamics in powder bed based Additive Manufacturing Process by high speed x ray imaging
Scientific Reports, 2018Co-Authors: Luis I Escano, Cang Zhao, Kamel Fezzaa, Lianghua Xiong, Niranjan D Parab, Qilin Guo, Wes Everhart, Tao Sun, Lianyi ChenAbstract:Powder spreading is a key step in the powder-bed-based Additive Manufacturing Process, which determines the quality of the powder bed and, consequently, affects the quality of the manufactured part. However, powder spreading behavior under Additive Manufacturing condition is still not clear, largely because of the lack of particle-scale experimental study. Here, we studied particle-scale powder dynamics during the powder spreading Process by using in-situ high-speed high-energy x-ray imaging. Evolution of the repose angle, slope surface speed, slope surface roughness, and the dynamics of powder clusters at the powder front were revealed and quantified. Interactions of the individual metal powders, with boundaries (substrate and container wall), were characterized, and coefficients of friction between the powders and boundaries were calculated. The effects of particle size on powder flow dynamics were revealed. The particle-scale powder spreading dynamics, reported here, are important for a thorough understanding of powder spreading behavior in the powder-bed-based Additive Manufacturing Process, and are critical to the development and validation of models that can more accurately predict powder spreading behavior.
Niranjan D Parab - One of the best experts on this subject based on the ideXlab platform.
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in situ characterization and quantification of melt pool variation under constant input energy density in laser powder bed fusion Additive Manufacturing Process
Additive manufacturing, 2019Co-Authors: Qili Guo, Cang Zhao, Kamel Fezzaa, Lianghua Xiong, Luis I Escano, Mohammad S H Hojjatzadeh, Wes Everha, Niranjan D Parab, Lianyi CheAbstract:Abstract Size and shape of a melt pool play a critical role in determining the microstructure in Additively manufactured metals. However, it is very challenging to directly characterize the size and shape of the melt pool beneath the surface of the melt pool during the Additive Manufacturing Process. Here, we report the direct observation and quantification of melt pool variation during the laser powder bed fusion (LPBF) Additive Manufacturing Process under constant input energy density by in-situ high-speed high-energy x-ray imaging. We show that the melt pool can undergo different melting regimes and both the melt pool dimension and melt pool volume can have orders-of-magnitude change under a constant input energy density. Our analysis shows that the significant melt pool variation cannot be solely explained by the energy dissipation rate. We found that energy absorption changes significantly under a constant input energy density, which is another important cause of melt pool variation. Our further analysis reveals that the significant change in energy absorption originates from the separate roles of laser power and scan speed in depression zone development. The results reported here are important for understanding the laser powder bed fusion Additive Manufacturing Process and guiding the development of better metrics for Processing parameter design.
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revealing particle scale powder spreading dynamics in powder bed based Additive Manufacturing Process by high speed x ray imaging
Scientific Reports, 2018Co-Authors: Luis I Escano, Cang Zhao, Kamel Fezzaa, Lianghua Xiong, Niranjan D Parab, Qilin Guo, Wes Everhart, Tao Sun, Lianyi ChenAbstract:Powder spreading is a key step in the powder-bed-based Additive Manufacturing Process, which determines the quality of the powder bed and, consequently, affects the quality of the manufactured part. However, powder spreading behavior under Additive Manufacturing condition is still not clear, largely because of the lack of particle-scale experimental study. Here, we studied particle-scale powder dynamics during the powder spreading Process by using in-situ high-speed high-energy x-ray imaging. Evolution of the repose angle, slope surface speed, slope surface roughness, and the dynamics of powder clusters at the powder front were revealed and quantified. Interactions of the individual metal powders, with boundaries (substrate and container wall), were characterized, and coefficients of friction between the powders and boundaries were calculated. The effects of particle size on powder flow dynamics were revealed. The particle-scale powder spreading dynamics, reported here, are important for a thorough understanding of powder spreading behavior in the powder-bed-based Additive Manufacturing Process, and are critical to the development and validation of models that can more accurately predict powder spreading behavior.