The Experts below are selected from a list of 141 Experts worldwide ranked by ideXlab platform
Zhen Wang - One of the best experts on this subject based on the ideXlab platform.
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Effect of tungsten Powder particle size and shape on consolidation and microstructure of W-xCu composites by selective laser melting
Zhongguo Jiguang Chinese Journal of Lasers, 2016Co-Authors: A. Yan, Yina Du, Zhiqiang Ma, Yongxing Wang, T. Yang, Zhen WangAbstract:In order to manufacture tungsten-copper complicate parts with high precision and densification, two different characterizations of tungsten Powder balled with copper Powder are manufactured by selective laser melting (SLM). The dimensional accuracy, surface morphology and microstructure of specimens are studied. The composite Powder containing irregular tungsten Powder with D50=5 μm causes non-uniform rolling Powder and serious sparks occur in sintering Process. With the increasing of mass content of W from 60% to 75%, the height shrinkage increases from 70 μm to 220 μm, the length and width increase from 50 μm to 150 μm, from 70 μm to 150 μm, respectively. The surface morphology evolves from adhered debris to balling phenomenon, pores and W particle agglomerate exist in the microstructures. The composite Powder containing regular tungsten Powder with D50=20 μm shows uniform rolling Powder Process and no sparks occur in sintering. With the increasing of mass content of W from 60% to 75%, the height shrinkage increases from 70 μm to 220 μm, the length and width increase from 20 μm to 50 μm, the surface morphology evolves from sound to slightly melt fracture and the particle rearrangement is obvious. The regular tungsten Powder with D50=20 μm is more applicable to manufacturing WCu components by selective laser melting than the irregular tungsten Powder with D50=5 μm. © 2016, Chinese Laser Press. All right reserved.
A. Yan - One of the best experts on this subject based on the ideXlab platform.
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Effect of tungsten Powder particle size and shape on consolidation and microstructure of W-xCu composites by selective laser melting
Zhongguo Jiguang Chinese Journal of Lasers, 2016Co-Authors: A. Yan, Yina Du, Zhiqiang Ma, Yongxing Wang, T. Yang, Zhen WangAbstract:In order to manufacture tungsten-copper complicate parts with high precision and densification, two different characterizations of tungsten Powder balled with copper Powder are manufactured by selective laser melting (SLM). The dimensional accuracy, surface morphology and microstructure of specimens are studied. The composite Powder containing irregular tungsten Powder with D50=5 μm causes non-uniform rolling Powder and serious sparks occur in sintering Process. With the increasing of mass content of W from 60% to 75%, the height shrinkage increases from 70 μm to 220 μm, the length and width increase from 50 μm to 150 μm, from 70 μm to 150 μm, respectively. The surface morphology evolves from adhered debris to balling phenomenon, pores and W particle agglomerate exist in the microstructures. The composite Powder containing regular tungsten Powder with D50=20 μm shows uniform rolling Powder Process and no sparks occur in sintering. With the increasing of mass content of W from 60% to 75%, the height shrinkage increases from 70 μm to 220 μm, the length and width increase from 20 μm to 50 μm, the surface morphology evolves from sound to slightly melt fracture and the particle rearrangement is obvious. The regular tungsten Powder with D50=20 μm is more applicable to manufacturing WCu components by selective laser melting than the irregular tungsten Powder with D50=5 μm. © 2016, Chinese Laser Press. All right reserved.
Mikio Sakai - One of the best experts on this subject based on the ideXlab platform.
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discrete element simulation for the evaluation of solid mixing in an industrial blender
Chemical Engineering Journal, 2015Co-Authors: Mikio Sakai, Yusuke Shigeto, Gytis Basinskas, Akira Hosokawa, Masayoshi FujiAbstract:Abstract Recent improvements in computer hardware have made it possible to simulate granular flow in an industrial system. There is a desire in industry to apply a numerical technology to design of an actual Powder Process. In the present study, the discrete element method (DEM) was applied to a twin-screw kneader as an example of an actual industrial blender, and the mixing efficiency was investigated for different operational parameters. The complexly shaped wall boundaries of the paddles and vessel were created using the signed distance function (SDF). Validation tests were first performed to demonstrate the applicability of the DEM employing the SDF-based wall boundary model. In the validation tests, simulations and experiments were shown to be in quantitative agreement in terms of the spatial distribution of solid particles. The mixing efficiency was then investigated for different rotational speeds and amounts of Powder, where the degree of mixing was evaluated using Lacey’s mixing index. The numerical simulation could clarify the mixing mechanism behind observed phenomena. The study thus illustrated that the total amount of Powder affected the mixing efficiency of the twin-screw kneader.
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Fundamental Study on a Structure Simulation for the Powder Products
Journal of The Society of Powder Technology Japan, 2011Co-Authors: Shin Mizutani, Mikio Sakai, Kazuya ShibataAbstract:There are many products manufactured by Powder compacting presses. In the past studies, the structural analyses of the product were performed by Finite Element Method (FEM). In these analyses, cavities which were occurred in the injection could not be taken into consideration. Namely, the analyses were performed under the assumption that the products were packed homogeneously. On the other side, the simulations of Powder Process were often performed by the Discrete Element Method (DEM). Accordingly, the structural analysis taking into account the particle condition could not be performed practically. Thereat, a new structure analytical method, which is referred to Finite Deformation theory based Particle Method (FD-PM), was developed to introduce the packing condition into the structural analyses. In this method, the particle location, i.e., random packing, could be simulated by the DEM. This location is used in the FD-PM as the calculation points. Numerical simulations of a cantilever oscillation were performed to investigate the adequacy of the FD-PM. Effects of the particle location on the structural analyses were investigated in this study. The oscillation cycle obtained from the simulations was compared with the theoretical one. The oscillation cycles were in good agreement between the simulations and the theoretical results. It is concluded that the FD-PM can simulate the oscillation of the cantilever composed of the randomly packed Powder accurately.
Masayoshi Fuji - One of the best experts on this subject based on the ideXlab platform.
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discrete element simulation for the evaluation of solid mixing in an industrial blender
Chemical Engineering Journal, 2015Co-Authors: Mikio Sakai, Yusuke Shigeto, Gytis Basinskas, Akira Hosokawa, Masayoshi FujiAbstract:Abstract Recent improvements in computer hardware have made it possible to simulate granular flow in an industrial system. There is a desire in industry to apply a numerical technology to design of an actual Powder Process. In the present study, the discrete element method (DEM) was applied to a twin-screw kneader as an example of an actual industrial blender, and the mixing efficiency was investigated for different operational parameters. The complexly shaped wall boundaries of the paddles and vessel were created using the signed distance function (SDF). Validation tests were first performed to demonstrate the applicability of the DEM employing the SDF-based wall boundary model. In the validation tests, simulations and experiments were shown to be in quantitative agreement in terms of the spatial distribution of solid particles. The mixing efficiency was then investigated for different rotational speeds and amounts of Powder, where the degree of mixing was evaluated using Lacey’s mixing index. The numerical simulation could clarify the mixing mechanism behind observed phenomena. The study thus illustrated that the total amount of Powder affected the mixing efficiency of the twin-screw kneader.
Yang Li - One of the best experts on this subject based on the ideXlab platform.
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Analysis and multi-objective optimization of slag Powder Process
Applied Soft Computing, 2020Co-Authors: Xiaoli Li, Shiqi Shen, Shengxiang Yang, Kang Wang, Yang LiAbstract:Abstract Slag Powder is a Process with characters of multivariables, strongly coupling and nonlinearity. The material layer thickness plays an important role in the Process. It can reflect the dynamic balance between the feed volume and discharge volume in the vertical mill. Keeping the material layer thickness in a suitable range can not only improve the quality of Powder, but also save electrical power. Previous studies on the material layer thickness did not consider the relationship among the material layer thickness, quality and yield. In this paper, the yield and quality factors are taken into account and the variables that affect the material layer thickness, yield and quality are analyzed. Then the models of material layer thickness, yield and quality are established based on generalized regression neural network. The production Process demands for highest yield, best production quality and smallest error of material layer thickness at the same time. From this point of view, the slag Powder Process can be regarded as a multi-objective optimization problem. To improve the diversity of solutions, a CT-NSGAII algorithm is proposed by introducing the clustering-based truncation mechanism into solution selection Process. Simulation shows that the proposed method can solve the multi-objective problem and obtain solutions with good diversity.
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Modeling and analysis of material layer thickness in slag Powder Process
2018 Chinese Control And Decision Conference (CCDC), 2018Co-Authors: Shiqi Shen, Xiaoli Li, Yang LiAbstract:Dumping the slag into vertical mill, granulated blast furnace slag Powder is finally got by the crushing, grinding and separation in the vertical mill. The whole Process is a non-linear, multivariate Process. In this Process, maintaining the stability of material layer thickness can reduce the mill vibration and power consumption. So this paper analyzed the slag Powder production Process firstly. Then the models of material layer thickness, production and specific surface area are established based on the field data by using least square support vector machine (LSSVM). Finally the suitable range of material layer thickness is obtained by multi-objective optimization of production and specific surface area.