The Experts below are selected from a list of 7605 Experts worldwide ranked by ideXlab platform

Kaikai Huang - One of the best experts on this subject based on the ideXlab platform.

  • investigation of Stamping Process of metallic bipolar plates in pem fuel cell numerical simulation and experiments
    International Journal of Hydrogen Energy, 2014
    Co-Authors: Qinghui Hu, Hao Fu, Dongming Zhang, Kaikai Huang
    Abstract:

    Abstract Flow channel in bipolar plate for PEMFC has the function of transporting the fuel and oxygen and water. Stamping Process for flow channel on metallic bipolar plates is an economic and convenient method for mass production. It is extremely important to predict and prevent the tearing, wrinkling, thinning, skid mark and spring back in Stamping Process. In this study, finite element method is used to predict the imperfection and analyze thickness variation during the Stamping Process. Dynaform software is employed to predict the performance of a Stamping Process. Forming Limit Diagrams are used to determine the safe limit of the metallic bipolar plates. In simulation, the dimension of flow channels, punch speed, radius of punch and die and draft angle were selected as variable Process parameters. Experiments were conducted to compare with the simulation results. It is demonstrated that the simulation results are in good agreement with the experimental ones for ss304 metal sheets. So simulation model could be employed as a predictive tool to provide optimal parameters for better performance of the Stamping Process.

  • Investigation of Stamping Process of metallic bipolar plates in PEM fuel cell—Numerical simulation and experiments
    International Journal of Hydrogen Energy, 2014
    Co-Authors: Dongming Zhang, Kaikai Huang
    Abstract:

    Abstract Flow channel in bipolar plate for PEMFC has the function of transporting the fuel and oxygen and water. Stamping Process for flow channel on metallic bipolar plates is an economic and convenient method for mass production. It is extremely important to predict and prevent the tearing, wrinkling, thinning, skid mark and spring back in Stamping Process. In this study, finite element method is used to predict the imperfection and analyze thickness variation during the Stamping Process. Dynaform software is employed to predict the performance of a Stamping Process. Forming Limit Diagrams are used to determine the safe limit of the metallic bipolar plates. In simulation, the dimension of flow channels, punch speed, radius of punch and die and draft angle were selected as variable Process parameters. Experiments were conducted to compare with the simulation results. It is demonstrated that the simulation results are in good agreement with the experimental ones for ss304 metal sheets. So simulation model could be employed as a predictive tool to provide optimal parameters for better performance of the Stamping Process.

Dongming Zhang - One of the best experts on this subject based on the ideXlab platform.

  • investigation of Stamping Process of metallic bipolar plates in pem fuel cell numerical simulation and experiments
    International Journal of Hydrogen Energy, 2014
    Co-Authors: Qinghui Hu, Hao Fu, Dongming Zhang, Kaikai Huang
    Abstract:

    Abstract Flow channel in bipolar plate for PEMFC has the function of transporting the fuel and oxygen and water. Stamping Process for flow channel on metallic bipolar plates is an economic and convenient method for mass production. It is extremely important to predict and prevent the tearing, wrinkling, thinning, skid mark and spring back in Stamping Process. In this study, finite element method is used to predict the imperfection and analyze thickness variation during the Stamping Process. Dynaform software is employed to predict the performance of a Stamping Process. Forming Limit Diagrams are used to determine the safe limit of the metallic bipolar plates. In simulation, the dimension of flow channels, punch speed, radius of punch and die and draft angle were selected as variable Process parameters. Experiments were conducted to compare with the simulation results. It is demonstrated that the simulation results are in good agreement with the experimental ones for ss304 metal sheets. So simulation model could be employed as a predictive tool to provide optimal parameters for better performance of the Stamping Process.

  • Investigation of Stamping Process of metallic bipolar plates in PEM fuel cell—Numerical simulation and experiments
    International Journal of Hydrogen Energy, 2014
    Co-Authors: Dongming Zhang, Kaikai Huang
    Abstract:

    Abstract Flow channel in bipolar plate for PEMFC has the function of transporting the fuel and oxygen and water. Stamping Process for flow channel on metallic bipolar plates is an economic and convenient method for mass production. It is extremely important to predict and prevent the tearing, wrinkling, thinning, skid mark and spring back in Stamping Process. In this study, finite element method is used to predict the imperfection and analyze thickness variation during the Stamping Process. Dynaform software is employed to predict the performance of a Stamping Process. Forming Limit Diagrams are used to determine the safe limit of the metallic bipolar plates. In simulation, the dimension of flow channels, punch speed, radius of punch and die and draft angle were selected as variable Process parameters. Experiments were conducted to compare with the simulation results. It is demonstrated that the simulation results are in good agreement with the experimental ones for ss304 metal sheets. So simulation model could be employed as a predictive tool to provide optimal parameters for better performance of the Stamping Process.

Qinghui Hu - One of the best experts on this subject based on the ideXlab platform.

  • investigation of Stamping Process of metallic bipolar plates in pem fuel cell numerical simulation and experiments
    International Journal of Hydrogen Energy, 2014
    Co-Authors: Qinghui Hu, Hao Fu, Dongming Zhang, Kaikai Huang
    Abstract:

    Abstract Flow channel in bipolar plate for PEMFC has the function of transporting the fuel and oxygen and water. Stamping Process for flow channel on metallic bipolar plates is an economic and convenient method for mass production. It is extremely important to predict and prevent the tearing, wrinkling, thinning, skid mark and spring back in Stamping Process. In this study, finite element method is used to predict the imperfection and analyze thickness variation during the Stamping Process. Dynaform software is employed to predict the performance of a Stamping Process. Forming Limit Diagrams are used to determine the safe limit of the metallic bipolar plates. In simulation, the dimension of flow channels, punch speed, radius of punch and die and draft angle were selected as variable Process parameters. Experiments were conducted to compare with the simulation results. It is demonstrated that the simulation results are in good agreement with the experimental ones for ss304 metal sheets. So simulation model could be employed as a predictive tool to provide optimal parameters for better performance of the Stamping Process.

R. Du - One of the best experts on this subject based on the ideXlab platform.

  • Fault diagnosis of Stamping Process based on empirical mode decomposition and learning vector quantization
    International Journal of Machine Tools & Manufacture, 2007
    Co-Authors: A.m. Bassiuny, Xiaoli Li, R. Du
    Abstract:

    Sheet metal Stamping Process is widely used in industry due to its high accuracy and productivity. However, monitoring the Process is a difficult task since the monitoring signals are typically non-stationary transient signals. In this paper, empirical mode decomposition (EMD) is applied to extract the main features of the strain signals. First, the signal is decomposed by EMD into intrinsic mode functions (IMF). Then the signal energy and the Hilbert marginal spectrum, which reflects the working condition and the fault pattern of the Process, are computed. Finally, to identify the faulty conditions of Process, the learning vector quantization (LVQ) network is used as a classifier with the Hilbert marginal spectrum as the input vectors. The performance of this method is tested by 107 experiments derived from different conditions in the sheet metal Stamping Process. The artificially created defects can be detected with a success rate of 96.3%. The method seems to be useful to monitor a sheet metal Stamping Process in practice.

A Piela - One of the best experts on this subject based on the ideXlab platform.

  • Finite element analysis of a tailored blanks Stamping Process
    Journal of Materials Processing Technology, 2000
    Co-Authors: Zbigniew Zimniak, A Piela
    Abstract:

    Abstract This paper describes the computer simulation methodology for applying the method of finite elements in the sheet Stamping of a new type of sheet. Simulation of the cup Stamping Process by a punch of square section has been chosen for testing. The modelling of such a Stamping Process was carried out using a complete thermomechanical analysis including the modelling of the sheet welding Process and the modelling of the Stamping Process. It has been assumed that the criteria for evaluating the quality of the theoretical solution is the displacement of welding line after Stamping. The stress after the welding Process and the deformation are essential for further stage of the Stamping Process.