The Experts below are selected from a list of 7806 Experts worldwide ranked by ideXlab platform

Yanjin Guan - One of the best experts on this subject based on the ideXlab platform.

  • multi objective optimization design of the heating cooling channels of the steam heating rapid thermal response Mold using particle swarm optimization
    International Journal of Thermal Sciences, 2011
    Co-Authors: Guilong Wang, Guoqun Zhao, Yanjin Guan
    Abstract:

    Abstract The layout of the heating/cooling channels is of great significance for rapid heat cycle Molding (RHCM) Mold with steam heating and coolant cooling because it not only affects heating/cooling efficiency, temperature uniformity of Mold cavity surface, but also has a great influence on Mold Strength. Thermal, structural and fatigue analysis based on finite element method (FEM) is performed to investigate the effect of the heating/cooling channels layout on thermal response, structural Strength and fatigue life of the RHCM Mold. In order to obtain a reasonable layout of heating/cooling channels, this study focuses on the development of an effective methodology for the layout optimization of the heating/cooling channels by integrating response surface methodology (RSM) and multi-objective particle swarm optimization (MOPSO) algorithm. Three design variables describing the layout and scale of the heating channels are selected to do the design of Box-Behnken experiment with three factors and three levels. Thermal/structural analysis is carried out using ANSYS to obtain the corresponding values of three objective variables, including required heating time, maximum cavity surface temperature difference and maximum von-Mises stress due to thermal expansion, which are used to describe heating efficiency, temperature uniformity and Mold Strength, respectively, for different sets of design variables. RSM is utilized to analyze the effect of the design parameters and further construct mathematical models to quantitatively describe the relationship between design variables and objective variables via regression analysis. Analysis of variance (ANOVA) demonstrates that the developed quadratic models are highly effective and significant. Confirmation experiment is also conducted to verify the effectiveness and accuracy of the developed quadratic polynomial models. Based on these mathematical models, a MOPSO algorithm is then introduced to optimize the design variables by comprehensively considering thermal efficiency, temperature uniformity and structural Strength of the RHCM Mold. The optimum results show that thermal efficiency and temperature uniformity of the RHCM Mold can be greatly improved with the optimum design variables for the layout of the heating/cooling channels. The following verification experiment demonstrates the validity of the optimum results.

  • Multi-objective optimization design of the heating/cooling channels of the steam-heating rapid thermal response Mold using particle swarm optimization
    International Journal of Thermal Sciences, 2011
    Co-Authors: Guilong Wang, Guoqun Zhao, Yanjin Guan
    Abstract:

    Abstract The layout of the heating/cooling channels is of great significance for rapid heat cycle Molding (RHCM) Mold with steam heating and coolant cooling because it not only affects heating/cooling efficiency, temperature uniformity of Mold cavity surface, but also has a great influence on Mold Strength. Thermal, structural and fatigue analysis based on finite element method (FEM) is performed to investigate the effect of the heating/cooling channels layout on thermal response, structural Strength and fatigue life of the RHCM Mold. In order to obtain a reasonable layout of heating/cooling channels, this study focuses on the development of an effective methodology for the layout optimization of the heating/cooling channels by integrating response surface methodology (RSM) and multi-objective particle swarm optimization (MOPSO) algorithm. Three design variables describing the layout and scale of the heating channels are selected to do the design of Box-Behnken experiment with three factors and three levels. Thermal/structural analysis is carried out using ANSYS to obtain the corresponding values of three objective variables, including required heating time, maximum cavity surface temperature difference and maximum von-Mises stress due to thermal expansion, which are used to describe heating efficiency, temperature uniformity and Mold Strength, respectively, for different sets of design variables. RSM is utilized to analyze the effect of the design parameters and further construct mathematical models to quantitatively describe the relationship between design variables and objective variables via regression analysis. Analysis of variance (ANOVA) demonstrates that the developed quadratic models are highly effective and significant. Confirmation experiment is also conducted to verify the effectiveness and accuracy of the developed quadratic polynomial models. Based on these mathematical models, a MOPSO algorithm is then introduced to optimize the design variables by comprehensively considering thermal efficiency, temperature uniformity and structural Strength of the RHCM Mold. The optimum results show that thermal efficiency and temperature uniformity of the RHCM Mold can be greatly improved with the optimum design variables for the layout of the heating/cooling channels. The following verification experiment demonstrates the validity of the optimum results.

Guilong Wang - One of the best experts on this subject based on the ideXlab platform.

  • multi objective optimization design of the heating cooling channels of the steam heating rapid thermal response Mold using particle swarm optimization
    International Journal of Thermal Sciences, 2011
    Co-Authors: Guilong Wang, Guoqun Zhao, Yanjin Guan
    Abstract:

    Abstract The layout of the heating/cooling channels is of great significance for rapid heat cycle Molding (RHCM) Mold with steam heating and coolant cooling because it not only affects heating/cooling efficiency, temperature uniformity of Mold cavity surface, but also has a great influence on Mold Strength. Thermal, structural and fatigue analysis based on finite element method (FEM) is performed to investigate the effect of the heating/cooling channels layout on thermal response, structural Strength and fatigue life of the RHCM Mold. In order to obtain a reasonable layout of heating/cooling channels, this study focuses on the development of an effective methodology for the layout optimization of the heating/cooling channels by integrating response surface methodology (RSM) and multi-objective particle swarm optimization (MOPSO) algorithm. Three design variables describing the layout and scale of the heating channels are selected to do the design of Box-Behnken experiment with three factors and three levels. Thermal/structural analysis is carried out using ANSYS to obtain the corresponding values of three objective variables, including required heating time, maximum cavity surface temperature difference and maximum von-Mises stress due to thermal expansion, which are used to describe heating efficiency, temperature uniformity and Mold Strength, respectively, for different sets of design variables. RSM is utilized to analyze the effect of the design parameters and further construct mathematical models to quantitatively describe the relationship between design variables and objective variables via regression analysis. Analysis of variance (ANOVA) demonstrates that the developed quadratic models are highly effective and significant. Confirmation experiment is also conducted to verify the effectiveness and accuracy of the developed quadratic polynomial models. Based on these mathematical models, a MOPSO algorithm is then introduced to optimize the design variables by comprehensively considering thermal efficiency, temperature uniformity and structural Strength of the RHCM Mold. The optimum results show that thermal efficiency and temperature uniformity of the RHCM Mold can be greatly improved with the optimum design variables for the layout of the heating/cooling channels. The following verification experiment demonstrates the validity of the optimum results.

  • Multi-objective optimization design of the heating/cooling channels of the steam-heating rapid thermal response Mold using particle swarm optimization
    International Journal of Thermal Sciences, 2011
    Co-Authors: Guilong Wang, Guoqun Zhao, Yanjin Guan
    Abstract:

    Abstract The layout of the heating/cooling channels is of great significance for rapid heat cycle Molding (RHCM) Mold with steam heating and coolant cooling because it not only affects heating/cooling efficiency, temperature uniformity of Mold cavity surface, but also has a great influence on Mold Strength. Thermal, structural and fatigue analysis based on finite element method (FEM) is performed to investigate the effect of the heating/cooling channels layout on thermal response, structural Strength and fatigue life of the RHCM Mold. In order to obtain a reasonable layout of heating/cooling channels, this study focuses on the development of an effective methodology for the layout optimization of the heating/cooling channels by integrating response surface methodology (RSM) and multi-objective particle swarm optimization (MOPSO) algorithm. Three design variables describing the layout and scale of the heating channels are selected to do the design of Box-Behnken experiment with three factors and three levels. Thermal/structural analysis is carried out using ANSYS to obtain the corresponding values of three objective variables, including required heating time, maximum cavity surface temperature difference and maximum von-Mises stress due to thermal expansion, which are used to describe heating efficiency, temperature uniformity and Mold Strength, respectively, for different sets of design variables. RSM is utilized to analyze the effect of the design parameters and further construct mathematical models to quantitatively describe the relationship between design variables and objective variables via regression analysis. Analysis of variance (ANOVA) demonstrates that the developed quadratic models are highly effective and significant. Confirmation experiment is also conducted to verify the effectiveness and accuracy of the developed quadratic polynomial models. Based on these mathematical models, a MOPSO algorithm is then introduced to optimize the design variables by comprehensively considering thermal efficiency, temperature uniformity and structural Strength of the RHCM Mold. The optimum results show that thermal efficiency and temperature uniformity of the RHCM Mold can be greatly improved with the optimum design variables for the layout of the heating/cooling channels. The following verification experiment demonstrates the validity of the optimum results.

Matthew Dargusch - One of the best experts on this subject based on the ideXlab platform.

  • Effect of process parameters on flexure Strength and gas permeability of 3D printed sand Molds
    Journal of Manufacturing Processes, 2020
    Co-Authors: Tharmalingam Sivarupan, Mohamed El Mansori, Nicolas Coniglio, Matthew Dargusch
    Abstract:

    Abstract 3D printed sand Molds for the casting industry play a vital role in manufacturing intricate parts using a computer model. The possibility of producing fairly significant structural castings using a small job-box 3D sand Mold printer is another advantage compared to the direct metal 3D printing processes. It is important to identify the relationship between the process parameters and the properties of the sand Mold to produce a Mold with the required Strength, permeability and stiffness; to reduce gas emissions during casting and minimize the mass of combustible materials in the Mold. Hence, it is possible to create an excellent casting by improving the design of such Molds for liquid alloy filling and solidification. The relationship between the printing parameters and the properties of the Mold can be a great tool for foundrymen, primarily to optimize the Strength and permeability properties of these Molds and therefore to provide exact boundary conditions for the solidification simulation prior to a casting trial. This paper reports on a study of a basic outline to quantify the role of the sand Mold printing process parameters, particularly the recoater speed and print resolution, on the Mold Strength and permeability, and their impacts on the anisotropic behavior of the printed sand Molds.

  • Effect of process parameters on flexure Strength and gas permeability of 3D printed sand Molds
    Journal of Manufacturing Processes, 2020
    Co-Authors: Tharmalingam Sivarupan, Mohamed El Mansori, Nicolas Coniglio, Matthew Dargusch
    Abstract:

    3D printed sand Molds for the casting industry play a vital role in manufacturing intricate parts from a computer model. The possibility of producing fairly significant structural castings using a small job-box 3D sand Mold printer is another advantage compared to the direct metal 3D printing processes. It is important to identify the relationship between the process parameters and the properties of the sand Mold in order to produce a Mold with the required Strength, permeability and stiffness; to reduce gas emissions during casting and minimize the mass of combustible materials in the Mold. Hence, it is possible to create an excellent casting by improving the design of such Molds for liquid alloy filling and solidification. The relationship between the printing parameters and the properties of the Mold can be a great tool for foundrymen, primarily to optimize the Strength and permeability properties of these Molds and therefore to provide exact boundary conditions for the solidification simulation prior to a casting trial. This paper reports on a study of a basic outline to quantify the role of the sand Mold printing process parameters, particularly the recoater speed and print resolution, on the Mold Strength and permeability, and their impacts on the anisotropic behavior of the printed sand Molds.

Guoqun Zhao - One of the best experts on this subject based on the ideXlab platform.

  • multi objective optimization design of the heating cooling channels of the steam heating rapid thermal response Mold using particle swarm optimization
    International Journal of Thermal Sciences, 2011
    Co-Authors: Guilong Wang, Guoqun Zhao, Yanjin Guan
    Abstract:

    Abstract The layout of the heating/cooling channels is of great significance for rapid heat cycle Molding (RHCM) Mold with steam heating and coolant cooling because it not only affects heating/cooling efficiency, temperature uniformity of Mold cavity surface, but also has a great influence on Mold Strength. Thermal, structural and fatigue analysis based on finite element method (FEM) is performed to investigate the effect of the heating/cooling channels layout on thermal response, structural Strength and fatigue life of the RHCM Mold. In order to obtain a reasonable layout of heating/cooling channels, this study focuses on the development of an effective methodology for the layout optimization of the heating/cooling channels by integrating response surface methodology (RSM) and multi-objective particle swarm optimization (MOPSO) algorithm. Three design variables describing the layout and scale of the heating channels are selected to do the design of Box-Behnken experiment with three factors and three levels. Thermal/structural analysis is carried out using ANSYS to obtain the corresponding values of three objective variables, including required heating time, maximum cavity surface temperature difference and maximum von-Mises stress due to thermal expansion, which are used to describe heating efficiency, temperature uniformity and Mold Strength, respectively, for different sets of design variables. RSM is utilized to analyze the effect of the design parameters and further construct mathematical models to quantitatively describe the relationship between design variables and objective variables via regression analysis. Analysis of variance (ANOVA) demonstrates that the developed quadratic models are highly effective and significant. Confirmation experiment is also conducted to verify the effectiveness and accuracy of the developed quadratic polynomial models. Based on these mathematical models, a MOPSO algorithm is then introduced to optimize the design variables by comprehensively considering thermal efficiency, temperature uniformity and structural Strength of the RHCM Mold. The optimum results show that thermal efficiency and temperature uniformity of the RHCM Mold can be greatly improved with the optimum design variables for the layout of the heating/cooling channels. The following verification experiment demonstrates the validity of the optimum results.

  • Multi-objective optimization design of the heating/cooling channels of the steam-heating rapid thermal response Mold using particle swarm optimization
    International Journal of Thermal Sciences, 2011
    Co-Authors: Guilong Wang, Guoqun Zhao, Yanjin Guan
    Abstract:

    Abstract The layout of the heating/cooling channels is of great significance for rapid heat cycle Molding (RHCM) Mold with steam heating and coolant cooling because it not only affects heating/cooling efficiency, temperature uniformity of Mold cavity surface, but also has a great influence on Mold Strength. Thermal, structural and fatigue analysis based on finite element method (FEM) is performed to investigate the effect of the heating/cooling channels layout on thermal response, structural Strength and fatigue life of the RHCM Mold. In order to obtain a reasonable layout of heating/cooling channels, this study focuses on the development of an effective methodology for the layout optimization of the heating/cooling channels by integrating response surface methodology (RSM) and multi-objective particle swarm optimization (MOPSO) algorithm. Three design variables describing the layout and scale of the heating channels are selected to do the design of Box-Behnken experiment with three factors and three levels. Thermal/structural analysis is carried out using ANSYS to obtain the corresponding values of three objective variables, including required heating time, maximum cavity surface temperature difference and maximum von-Mises stress due to thermal expansion, which are used to describe heating efficiency, temperature uniformity and Mold Strength, respectively, for different sets of design variables. RSM is utilized to analyze the effect of the design parameters and further construct mathematical models to quantitatively describe the relationship between design variables and objective variables via regression analysis. Analysis of variance (ANOVA) demonstrates that the developed quadratic models are highly effective and significant. Confirmation experiment is also conducted to verify the effectiveness and accuracy of the developed quadratic polynomial models. Based on these mathematical models, a MOPSO algorithm is then introduced to optimize the design variables by comprehensively considering thermal efficiency, temperature uniformity and structural Strength of the RHCM Mold. The optimum results show that thermal efficiency and temperature uniformity of the RHCM Mold can be greatly improved with the optimum design variables for the layout of the heating/cooling channels. The following verification experiment demonstrates the validity of the optimum results.

Tharmalingam Sivarupan - One of the best experts on this subject based on the ideXlab platform.

  • Effect of process parameters on flexure Strength and gas permeability of 3D printed sand Molds
    Journal of Manufacturing Processes, 2020
    Co-Authors: Tharmalingam Sivarupan, Mohamed El Mansori, Nicolas Coniglio, Matthew Dargusch
    Abstract:

    Abstract 3D printed sand Molds for the casting industry play a vital role in manufacturing intricate parts using a computer model. The possibility of producing fairly significant structural castings using a small job-box 3D sand Mold printer is another advantage compared to the direct metal 3D printing processes. It is important to identify the relationship between the process parameters and the properties of the sand Mold to produce a Mold with the required Strength, permeability and stiffness; to reduce gas emissions during casting and minimize the mass of combustible materials in the Mold. Hence, it is possible to create an excellent casting by improving the design of such Molds for liquid alloy filling and solidification. The relationship between the printing parameters and the properties of the Mold can be a great tool for foundrymen, primarily to optimize the Strength and permeability properties of these Molds and therefore to provide exact boundary conditions for the solidification simulation prior to a casting trial. This paper reports on a study of a basic outline to quantify the role of the sand Mold printing process parameters, particularly the recoater speed and print resolution, on the Mold Strength and permeability, and their impacts on the anisotropic behavior of the printed sand Molds.

  • Effect of process parameters on flexure Strength and gas permeability of 3D printed sand Molds
    Journal of Manufacturing Processes, 2020
    Co-Authors: Tharmalingam Sivarupan, Mohamed El Mansori, Nicolas Coniglio, Matthew Dargusch
    Abstract:

    3D printed sand Molds for the casting industry play a vital role in manufacturing intricate parts from a computer model. The possibility of producing fairly significant structural castings using a small job-box 3D sand Mold printer is another advantage compared to the direct metal 3D printing processes. It is important to identify the relationship between the process parameters and the properties of the sand Mold in order to produce a Mold with the required Strength, permeability and stiffness; to reduce gas emissions during casting and minimize the mass of combustible materials in the Mold. Hence, it is possible to create an excellent casting by improving the design of such Molds for liquid alloy filling and solidification. The relationship between the printing parameters and the properties of the Mold can be a great tool for foundrymen, primarily to optimize the Strength and permeability properties of these Molds and therefore to provide exact boundary conditions for the solidification simulation prior to a casting trial. This paper reports on a study of a basic outline to quantify the role of the sand Mold printing process parameters, particularly the recoater speed and print resolution, on the Mold Strength and permeability, and their impacts on the anisotropic behavior of the printed sand Molds.

  • Investigation of process parameter effect on anisotropic properties of 3D printed sand Molds
    International Journal of Advanced Manufacturing Technologies, 2018
    Co-Authors: Nicolas Coniglio, Tharmalingam Sivarupan, Mohamed El Mansori
    Abstract:

    The development of sand Mold three-dimensional printing technologies enables the manufacturing of Molds without the use of a physical model. However, the effects of the three-dimensional printing process parameters on the Mold permeability and Strength are not well known, leading the industries to keep old settings until castings have recurring defects. In the present work, the influence of these parameters was experimentally investigated to understand their effect on the Mold Strength and permeability. Cylindrical and barshaped test specimens were printed to perform, respectively, permeability and bending Strength measurements. Experiments were designed to statistically quantify the individual and combined effect of these process parameters. While the binder quantity only affects the Mold Strength, increasing the recoater speed leads to both greater permeability and reduced Strength due to the reduced sand compaction. Recommendations for optimizing some 3D printer settings are proposed to attain predefined Mold properties and minimize the anisotropic behavior of the sand Mold in regard to both the orientation and the position in the job box.