The Experts below are selected from a list of 6615 Experts worldwide ranked by ideXlab platform
Ming Zeng - One of the best experts on this subject based on the ideXlab platform.
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odor tracing in turbulent Airflow Field using only three mox sensors
Robotics and Biomimetics, 2017Co-Authors: Jiaying Wang, Qinghao Meng, Bing Luo, Xuyang Dai, Ming ZengAbstract: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), 2017Co-Authors: Jiaying Wang, Qinghao Meng, Bing Luo, Xuyang Dai, Ming ZengAbstract: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, 2009Co-Authors: Qinghao Meng, Ming ZengAbstract:The odor source localization using a mobile robot in time-variant Airflow-Field 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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ROBIO - An estimation-based plume tracing method in time-variant Airflow-Field via mobile robot
2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2009Co-Authors: Qinghao Meng, Ming ZengAbstract:The odor source localization using a mobile robot in time-variant Airflow-Field 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.
Ya Dong Gong - One of the best experts on this subject based on the ideXlab platform.
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A Study on Airflow Field of Super-High Speed Pectination Grinding Wheel Based on PIV
Key Engineering Materials, 2008Co-Authors: Ya Dong Gong, Yancheng Zhang, Wan Shan WangAbstract: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, 2007Co-Authors: Ya Dong Gong, Yancheng Zhang, Guang Qi Cai, Zhao Hui DengAbstract: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, 2007Co-Authors: Ya Dong Gong, Guang Qi CaiAbstract: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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Analysis and Study of the Influence Factor on the Airflow of Ultra-Speed Grinding Wheel
Key Engineering Materials, 2006Co-Authors: Ya Dong Gong, Guang Qi CaiAbstract:There’s a systemic exoteric analysis and experiment study about the distribution of Ultra-speed grinding Airflow Field and influence factors in this paper and lots of experiments has been done in different conditions by the method of PIV (particle image velocity). A great deal of data has been gathered and the method dealing with it by using the software such as FlowMap, Tecplot and Matlab has been brought forward. Experiment and measure have been done under different conditions and lots of experiment data and results have been obtained. Many kinds of general rules influenced by factors on Ultra-speed grinding Airflow Field by the analysis of the experiment results, for the purpose of supporting the base of study for the effective supply of cooling and lubrication liquid.
Qinghao Meng - One of the best experts on this subject based on the ideXlab platform.
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odor tracing in turbulent Airflow Field using only three mox sensors
Robotics and Biomimetics, 2017Co-Authors: Jiaying Wang, Qinghao Meng, Bing Luo, Xuyang Dai, Ming ZengAbstract: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), 2017Co-Authors: Jiaying Wang, Qinghao Meng, Bing Luo, Xuyang Dai, Ming ZengAbstract: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, 2009Co-Authors: Qinghao Meng, Ming ZengAbstract:The odor source localization using a mobile robot in time-variant Airflow-Field 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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ROBIO - An estimation-based plume tracing method in time-variant Airflow-Field via mobile robot
2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2009Co-Authors: Qinghao Meng, Ming ZengAbstract:The odor source localization using a mobile robot in time-variant Airflow-Field 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.
Guang Qi Cai - One of the best experts on this subject based on the ideXlab platform.
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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, 2007Co-Authors: Ya Dong Gong, Yancheng Zhang, Guang Qi Cai, Zhao Hui DengAbstract: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, 2007Co-Authors: Ya Dong Gong, Guang Qi CaiAbstract: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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Analysis and Study of the Influence Factor on the Airflow of Ultra-Speed Grinding Wheel
Key Engineering Materials, 2006Co-Authors: Ya Dong Gong, Guang Qi CaiAbstract:There’s a systemic exoteric analysis and experiment study about the distribution of Ultra-speed grinding Airflow Field and influence factors in this paper and lots of experiments has been done in different conditions by the method of PIV (particle image velocity). A great deal of data has been gathered and the method dealing with it by using the software such as FlowMap, Tecplot and Matlab has been brought forward. Experiment and measure have been done under different conditions and lots of experiment data and results have been obtained. Many kinds of general rules influenced by factors on Ultra-speed grinding Airflow Field by the analysis of the experiment results, for the purpose of supporting the base of study for the effective supply of cooling and lubrication liquid.
Yi Fang - One of the best experts on this subject based on the ideXlab platform.
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Effects of ridge height and spacing on the near-surface Airflow Field and on wind erosion of a sandy soil: Results of a wind tunnel study
Soil and Tillage Research, 2019Co-Authors: Wenru Jia, Chunlai Zhang, Xueyong Zou, Hong Cheng, Liqiang Kang, Bo Liu, Yaping Shen, Wei Liu, Yi FangAbstract:Abstract In wind tunnel experiments, we measured the Airflow Field near the ground surface and the resulting sand transport rate over a sand bed that contained widely but uniformly spaced non-erodible ridges. We found that when Airflow passed over the bed, the wind velocity changed drastically around the first ridge, but the magnitude of the change decreased gradually moving downwind until a relatively stable Airflow developed, characterized by regular fluctuation over the uniformly spaced ridges. The distance from the first ridge to the zone of stable Airflow increased with increasing ridge height or spacing between ridges. This Airflow Field led to a non-uniform distribution of wind erosion that affected total sediment transport from the sand bed. Using our wind tunnel simulation results as inputs for existing sediment transport equations, we developed a model to predict sediment transport (q) over a sand bed that contained widely spaced ridges: q = C ' d D ρ g u * 2 u * - u * t e x p ( - a H u * 3 n ) . The model accounts for the ridge height (H), number of ridges per unit length (n), and the wind’s free-stream friction velocity (u*) and threshold friction velocity (u*t). We discussed the different mechanisms by which ridges influence the near-surface Airflow at large spacing (> 5H) and small spacing (≤ 5H). The ridges appear to affect the Airflow as roughness elements when the spacing is small, but act as barriers to the wind when the spacing is large.
