The Experts below are selected from a list of 100824 Experts worldwide ranked by ideXlab platform
Tuǧrul Özel - One of the best experts on this subject based on the ideXlab platform.
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Temperature profile and melt depth in laser Powder bed fusion of Ti-6Al-4V titanium alloy
Progress in Additive Manufacturing, 2017Co-Authors: Luis E. Criales, Tuǧrul ÖzelAbstract:In this paper, the prediction of temperature profile and melt depth for laser Powder bed fusion (L-PBF) of Ti-6Al-4V titanium Powder Material was performed by numerically solving the heat conduction-diffusion equation using a finite difference method. A review of the literature in numerical modeling for laser-based additive metal manufacturing is presented. Initially, the temperature pro-file along the depth direction into the Powder Material is calculated for a stationary single pulse laser heat source to understand the transient behavior of the temperature rise during L-PBF. The effect of varying laser pulse energy, average power, and the Powder Material's density is ana-lyzed. A method to calculate and predict the maximum depth at which localized melting of the Powder Material occurs is provided.
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Predictive modeling and optimization of multi-track processing for laser Powder bed fusion of nickel alloy 625
Additive Manufacturing, 2017Co-Authors: Luis E. Criales, Tuǧrul Özel, Brandon Lane, Shawn P. Moylan, Alkan Donmez, Yiǧit M. Arisoy, Tugrul OzelAbstract:This paper presents an integrated physics-based and statistical modeling approach to predict temperature field and meltpool geometry in multi-track processing of laser Powder bed fusion (L-PBF) of nickel 625 alloy. Multi-track laser processing of Powder Material using L-PBF process has been studied using 2-D finite element simulations to calculate temperature fields along the scan and hatch directions for three consecutive tracks for a moving laser heat source to understand the heating and melting process. Based on the predicted temperature fields, width, depth and shape of the meltpool is determined. Designed experiments on L-PBF of nickel alloy 625 Powder Material are conducted to measure the relative density and meltpool geometry. Experimental work is reported on the measured density of built coupons and meltpool size. Statistically-based predictive models using response surface regression for relative density, meltpool geometry, peak temperature, and time above melting point are developed and multi-objective optimization studies are conducted by using genetic algorithm and swarm intelligence.
Luis E. Criales - One of the best experts on this subject based on the ideXlab platform.
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Temperature profile and melt depth in laser Powder bed fusion of Ti-6Al-4V titanium alloy
Progress in Additive Manufacturing, 2017Co-Authors: Luis E. Criales, Tuǧrul ÖzelAbstract:In this paper, the prediction of temperature profile and melt depth for laser Powder bed fusion (L-PBF) of Ti-6Al-4V titanium Powder Material was performed by numerically solving the heat conduction-diffusion equation using a finite difference method. A review of the literature in numerical modeling for laser-based additive metal manufacturing is presented. Initially, the temperature pro-file along the depth direction into the Powder Material is calculated for a stationary single pulse laser heat source to understand the transient behavior of the temperature rise during L-PBF. The effect of varying laser pulse energy, average power, and the Powder Material's density is ana-lyzed. A method to calculate and predict the maximum depth at which localized melting of the Powder Material occurs is provided.
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Predictive modeling and optimization of multi-track processing for laser Powder bed fusion of nickel alloy 625
Additive Manufacturing, 2017Co-Authors: Luis E. Criales, Tuǧrul Özel, Brandon Lane, Shawn P. Moylan, Alkan Donmez, Yiǧit M. Arisoy, Tugrul OzelAbstract:This paper presents an integrated physics-based and statistical modeling approach to predict temperature field and meltpool geometry in multi-track processing of laser Powder bed fusion (L-PBF) of nickel 625 alloy. Multi-track laser processing of Powder Material using L-PBF process has been studied using 2-D finite element simulations to calculate temperature fields along the scan and hatch directions for three consecutive tracks for a moving laser heat source to understand the heating and melting process. Based on the predicted temperature fields, width, depth and shape of the meltpool is determined. Designed experiments on L-PBF of nickel alloy 625 Powder Material are conducted to measure the relative density and meltpool geometry. Experimental work is reported on the measured density of built coupons and meltpool size. Statistically-based predictive models using response surface regression for relative density, meltpool geometry, peak temperature, and time above melting point are developed and multi-objective optimization studies are conducted by using genetic algorithm and swarm intelligence.
Kozo Kanayama - One of the best experts on this subject based on the ideXlab platform.
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performance study of compact wood Powder Material processing for improved impact characteristics aiming at substitute for plastics
Journal of Materials Processing Technology, 2007Co-Authors: Tsunehisa Miki, Kazutoshi Takeuchi, Hiroyuki Sugimoto, Kozo KanayamaAbstract:Abstract Recently, a plastic-like Material has been obtained by compression of wood Powder only under an appropriate temperature and pressure conditions. It is considered that this change in a surface texture like transformation comes from auto-condensation of wood components. The static bending strength of the wood Powder Material (WPM) at 23 °C is roughly the same as that of plastics such as ABS, and due to the auto-condensation of wood components the WPM can be enhanced and hardened. These good outcomes mean that the WPM might be applied as a substitute Material for plastic without using any petroleum-based adhesives. Such kinds of techniques have become very important for future Material. To achieve utilization of the WPM for a plastic application, other properties such as impact characteristics must be investigated. Furthermore, an efficient processing of the WPM using vapor steaming should be developed to reduce processing energy. In this study, a new wood-based product aiming at an alternative Material for plastics and its processing with vapor has been researched using wood Powder only. Effects of production conditions, namely compression pressure, vapor steaming temperature, heat treatment time and size of wood Powder, on the mechanical properties such as bulk density, impact bending strength, bending Young modulus and Charpy impact strength of the WPM were experimentally investigated, and feasibility and problems in the production of alternative Material for plastics from wood Powder were discussed. Results showed that the impact bending strength and Young modulus were improved with elevated vapor steaming temperature up to about 140 °C, and they level off above 150 °C. However, the Charpy impact strength only tends to be decreased above 150 °C. The impact characteristics of WPM are improved by increasing the compression pressure up to 30 MPa at constant vapor temperature of 160 °C. They are hardly changed when the pressure and temperature are applied for more than 5 min of the heat treatment time. The impact characteristics of the WPM have their maximums when the wood Powder ranging roughly to 100 μm in size is compacted under the vapor steaming condition of 160 °C. In comparison of the impact characteristics among WPM and engineering plastics, WPM has the maximum Young modulus but has poorest Charpy impact strength. Therefore the Charpy impact strength of the WPM must be improved in our further study.
Tugrul Ozel - One of the best experts on this subject based on the ideXlab platform.
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Predictive modeling and optimization of multi-track processing for laser Powder bed fusion of nickel alloy 625
Additive Manufacturing, 2017Co-Authors: Luis E. Criales, Tuǧrul Özel, Brandon Lane, Shawn P. Moylan, Alkan Donmez, Yiǧit M. Arisoy, Tugrul OzelAbstract:This paper presents an integrated physics-based and statistical modeling approach to predict temperature field and meltpool geometry in multi-track processing of laser Powder bed fusion (L-PBF) of nickel 625 alloy. Multi-track laser processing of Powder Material using L-PBF process has been studied using 2-D finite element simulations to calculate temperature fields along the scan and hatch directions for three consecutive tracks for a moving laser heat source to understand the heating and melting process. Based on the predicted temperature fields, width, depth and shape of the meltpool is determined. Designed experiments on L-PBF of nickel alloy 625 Powder Material are conducted to measure the relative density and meltpool geometry. Experimental work is reported on the measured density of built coupons and meltpool size. Statistically-based predictive models using response surface regression for relative density, meltpool geometry, peak temperature, and time above melting point are developed and multi-objective optimization studies are conducted by using genetic algorithm and swarm intelligence.
Tsunehisa Miki - One of the best experts on this subject based on the ideXlab platform.
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performance study of compact wood Powder Material processing for improved impact characteristics aiming at substitute for plastics
Journal of Materials Processing Technology, 2007Co-Authors: Tsunehisa Miki, Kazutoshi Takeuchi, Hiroyuki Sugimoto, Kozo KanayamaAbstract:Abstract Recently, a plastic-like Material has been obtained by compression of wood Powder only under an appropriate temperature and pressure conditions. It is considered that this change in a surface texture like transformation comes from auto-condensation of wood components. The static bending strength of the wood Powder Material (WPM) at 23 °C is roughly the same as that of plastics such as ABS, and due to the auto-condensation of wood components the WPM can be enhanced and hardened. These good outcomes mean that the WPM might be applied as a substitute Material for plastic without using any petroleum-based adhesives. Such kinds of techniques have become very important for future Material. To achieve utilization of the WPM for a plastic application, other properties such as impact characteristics must be investigated. Furthermore, an efficient processing of the WPM using vapor steaming should be developed to reduce processing energy. In this study, a new wood-based product aiming at an alternative Material for plastics and its processing with vapor has been researched using wood Powder only. Effects of production conditions, namely compression pressure, vapor steaming temperature, heat treatment time and size of wood Powder, on the mechanical properties such as bulk density, impact bending strength, bending Young modulus and Charpy impact strength of the WPM were experimentally investigated, and feasibility and problems in the production of alternative Material for plastics from wood Powder were discussed. Results showed that the impact bending strength and Young modulus were improved with elevated vapor steaming temperature up to about 140 °C, and they level off above 150 °C. However, the Charpy impact strength only tends to be decreased above 150 °C. The impact characteristics of WPM are improved by increasing the compression pressure up to 30 MPa at constant vapor temperature of 160 °C. They are hardly changed when the pressure and temperature are applied for more than 5 min of the heat treatment time. The impact characteristics of the WPM have their maximums when the wood Powder ranging roughly to 100 μm in size is compacted under the vapor steaming condition of 160 °C. In comparison of the impact characteristics among WPM and engineering plastics, WPM has the maximum Young modulus but has poorest Charpy impact strength. Therefore the Charpy impact strength of the WPM must be improved in our further study.