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Airflow Field

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Ming Zeng – One of the best experts on this subject based on the ideXlab platform.

  • odor tracing in turbulent Airflow Field using only three mox sensors
    Robotics and Biomimetics, 2017
    Co-Authors: Jiaying Wang, Qinghao Meng, Bing Luo, Xuyang Dai, Ming Zeng

    Abstract:

    An odor source orientation inference method with few adjustable parameters and high automaticity is proposed for two-dimensional (2D) odor source localization tasks. This method utilizes three MOX sensors to measure the horizontal dispersion process of gas. Wavelet transform and modulus maxima lines are adopted to discover the time difference information hidden in the spatiotemporal signals of gas sensors. The final odor source orientation is obtained by particle filter using a sequence of odor dispersion directions and flow rates inferred from the time difference information. Using a mobile robot, the odor tracing experiments have demonstrated the effectiveness of this method in the time-varying Airflow Field.

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  • ROBIO – Odor tracing in turbulent Airflow Field using only three MOX sensors
    2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2017
    Co-Authors: Jiaying Wang, Qinghao Meng, Bing Luo, Xuyang Dai, Ming Zeng

    Abstract:

    An odor source orientation inference method with few adjustable parameters and high automaticity is proposed for two-dimensional (2D) odor source localization tasks. This method utilizes three MOX sensors to measure the horizontal dispersion process of gas. Wavelet transform and modulus maxima lines are adopted to discover the time difference information hidden in the spatiotemporal signals of gas sensors. The final odor source orientation is obtained by particle filter using a sequence of odor dispersion directions and flow rates inferred from the time difference information. Using a mobile robot, the odor tracing experiments have demonstrated the effectiveness of this method in the time-varying Airflow Field.

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  • an estimation based plume tracing method in time variant Airflow Field via mobile robot
    Robotics and Biomimetics, 2009
    Co-Authors: Qinghao Meng, Ming Zeng

    Abstract:

    The odor source localization using a mobile robot in time-variant AirflowField environment is considered. A novel estimation-based plume tracing method is proposed in this paper. Based on the odor-patch path estimated by the flow information when odor clues are found, a searching route is planned for the mobile robot to trace the plume. To have fair and statistic comparisons with both the spiral-surge and zig-zagging plume tracing algorithms, a simulation experiment platform is built and two evaluation criterions, i.e., the approaching index to the source and the mechanical efficiency, are proposed. Experiment results in large-scale time-variant Airflow Field indicate that estimation-based plume tracing method behaves better.

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Ya Dong Gong – One of the best experts on this subject based on the ideXlab platform.

  • A Study on Airflow Field of Super-High Speed Pectination Grinding Wheel Based on PIV
    Key Engineering Materials, 2008
    Co-Authors: Ya Dong Gong, Yancheng Zhang, Wan Shan Wang

    Abstract:

    Adopting the method of PIV, systematical theory analysis and experiment research were made on the Airflow Field distribution of super-high speed pectination grinding wheel, as well as experiment design and data acquisition, the data processing was carried out through the software of FlowMap, Tecplot, and Matlab. By analysis and discussion focused on experiment results, the general rules of Airflow Field distribution in super-high speed pectination grinding wheel were preliminary drawn, which provides the research foundation with a view to find a new method for the effective supply of super-high speed grinding coolant.

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  • The Experiment Method of the Study on the Airflow Field around the Grinding Wheel in Super-High Speed Based on PIV
    Key Engineering Materials, 2007
    Co-Authors: Ya Dong Gong, Yancheng Zhang, Guang Qi Cai, Zhao Hui Deng

    Abstract:

    The investigation of the experiment method on Airflow Field around super-high grinding wheel by PIV (Particle Image of Velocity, PIV) instrument was introduced in the paper. The measure system and scheme were designed for the experiment with PIV applied in the super-high speed grinding wheel for the Airflow. The processing method of experimental data was discussed and the experiment result validated the feasibility of the experiment method.

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  • Theoretical Analysis and Simulation of Airflow of Super High-Speed Grinding Wheel
    Key Engineering Materials, 2007
    Co-Authors: Ya Dong Gong, Guang Qi Cai

    Abstract:

    The Airflow Field of super-high speed grinding was analyzed in the paper and the method of computing and analyzing the distribution of the Field has been brought forward by applying boundary layer theory. Adopting the method of finite element, the model of Airflow Field in the 3-D grinding zone has been built up by using software; the solving strategy and the boundary conditions has been defined, where artificial viscosity coefficient in the repetitive and continuous analysis and the method by applying inertia relaxation have been discussed, which helped to revolve stability. The results of simulation was given and analyzed, which can be validated with experiment by using the equipment of PIV (particle image of velocity).

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Qinghao Meng – One of the best experts on this subject based on the ideXlab platform.

  • odor tracing in turbulent Airflow Field using only three mox sensors
    Robotics and Biomimetics, 2017
    Co-Authors: Jiaying Wang, Qinghao Meng, Bing Luo, Xuyang Dai, Ming Zeng

    Abstract:

    An odor source orientation inference method with few adjustable parameters and high automaticity is proposed for two-dimensional (2D) odor source localization tasks. This method utilizes three MOX sensors to measure the horizontal dispersion process of gas. Wavelet transform and modulus maxima lines are adopted to discover the time difference information hidden in the spatiotemporal signals of gas sensors. The final odor source orientation is obtained by particle filter using a sequence of odor dispersion directions and flow rates inferred from the time difference information. Using a mobile robot, the odor tracing experiments have demonstrated the effectiveness of this method in the time-varying Airflow Field.

    Free Register to Access Article

  • ROBIO – Odor tracing in turbulent Airflow Field using only three MOX sensors
    2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2017
    Co-Authors: Jiaying Wang, Qinghao Meng, Bing Luo, Xuyang Dai, Ming Zeng

    Abstract:

    An odor source orientation inference method with few adjustable parameters and high automaticity is proposed for two-dimensional (2D) odor source localization tasks. This method utilizes three MOX sensors to measure the horizontal dispersion process of gas. Wavelet transform and modulus maxima lines are adopted to discover the time difference information hidden in the spatiotemporal signals of gas sensors. The final odor source orientation is obtained by particle filter using a sequence of odor dispersion directions and flow rates inferred from the time difference information. Using a mobile robot, the odor tracing experiments have demonstrated the effectiveness of this method in the time-varying Airflow Field.

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  • an estimation based plume tracing method in time variant Airflow Field via mobile robot
    Robotics and Biomimetics, 2009
    Co-Authors: Qinghao Meng, Ming Zeng

    Abstract:

    The odor source localization using a mobile robot in time-variant AirflowField environment is considered. A novel estimation-based plume tracing method is proposed in this paper. Based on the odor-patch path estimated by the flow information when odor clues are found, a searching route is planned for the mobile robot to trace the plume. To have fair and statistic comparisons with both the spiral-surge and zig-zagging plume tracing algorithms, a simulation experiment platform is built and two evaluation criterions, i.e., the approaching index to the source and the mechanical efficiency, are proposed. Experiment results in large-scale time-variant Airflow Field indicate that estimation-based plume tracing method behaves better.

    Free Register to Access Article