The Experts below are selected from a list of 65478 Experts worldwide ranked by ideXlab platform

Jiaqing Shao - One of the best experts on this subject based on the ideXlab platform.

  • an integrated multi channel Electrostatic sensing and digital imaging system for the on line measurement of biomass coal particles in fuel injection pipelines
    Fuel, 2015
    Co-Authors: Xiangchen Qian, Yong Yan, Lijuan Wang, Jiaqing Shao
    Abstract:

    The measurement of key parameters of biomass–coal particles in a pneumatic conveying pipeline at a power plant presents a significant challenge due to the inherent complexity of the dilute particle flow and differences in physical properties between the different kinds of fuels. This paper presents the latest development in on-line continuous measurement of mean particle velocity, concentration and particle size distribution of pulverised fuel using multi-channel Electrostatic sensing and digital imaging techniques. An integrated instrumentation system has been implemented to achieve the intended measurement of pulverised fuel particles. Comprehensive tests were conducted on a 150 mm bore horizontal pipe section of a large scale test facility using pulverised coal and biomass–coal blends. The results suggest that the characteristics of the pulverized fuel flow depend on the flow velocity and biomass proportion in the mixture and, to a large extent, on the biomass properties. It is found that coal particles travel faster and carry more Electrostatic Charge than biomass–coal blends. As more biomass particles (up to 20% by weight) are added to the flow, the particle velocity reduces, the Electrostatic Charge level decreases, and the flow becomes less stable in comparison with coal flow.

  • quantitative characterization of pulverized coal and biomass coal blends in pneumatic conveying pipelines using Electrostatic sensor arrays and data fusion techniques
    Measurement Science and Technology, 2012
    Co-Authors: Xiangchen Qian, Yong Yan, Lijuan Wang, Jiaqing Shao, Hao Zhou, Chao Wang
    Abstract:

    Quantitative data about the dynamic behaviour of pulverized coal and biomass–coal blends in fuel injection pipelines allow power plant operators to detect variations in fuel supply and oscillations in the flow at an early stage, enable them to balance fuel distribution between fuel feeding pipes and ultimately to achieve higher combustion efficiency and lower greenhouse gas emissions. Electrostatic sensor arrays and data fusion algorithms are combined to provide a non-intrusive solution to the measurement of fuel particle velocity, relative solid concentration and flow stability under pneumatic conveying conditions. Electrostatic sensor arrays with circular and arc-shaped electrodes are integrated in the same sensing head to measure 'averaged' and 'localized' characteristics of pulverized fuel flow. Data fusion techniques are applied to optimize and integrate the results from the sensor arrays. Experimental tests were conducted on the horizontal section of a 150 mm bore pneumatic conveyor circulating pulverized coal and sawdust under various flow conditions. Test results suggest that pure coal particles travel faster and carry more Electrostatic Charge than biomass–coal blends. As more biomass particles are added to the flow, the overall velocity of the flow reduces, the Electrostatic Charge level on particles decreases and the flow becomes less stable compared to the pure coal flow.

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

  • an integrated multi channel Electrostatic sensing and digital imaging system for the on line measurement of biomass coal particles in fuel injection pipelines
    Fuel, 2015
    Co-Authors: Xiangchen Qian, Yong Yan, Lijuan Wang, Jiaqing Shao
    Abstract:

    The measurement of key parameters of biomass–coal particles in a pneumatic conveying pipeline at a power plant presents a significant challenge due to the inherent complexity of the dilute particle flow and differences in physical properties between the different kinds of fuels. This paper presents the latest development in on-line continuous measurement of mean particle velocity, concentration and particle size distribution of pulverised fuel using multi-channel Electrostatic sensing and digital imaging techniques. An integrated instrumentation system has been implemented to achieve the intended measurement of pulverised fuel particles. Comprehensive tests were conducted on a 150 mm bore horizontal pipe section of a large scale test facility using pulverised coal and biomass–coal blends. The results suggest that the characteristics of the pulverized fuel flow depend on the flow velocity and biomass proportion in the mixture and, to a large extent, on the biomass properties. It is found that coal particles travel faster and carry more Electrostatic Charge than biomass–coal blends. As more biomass particles (up to 20% by weight) are added to the flow, the particle velocity reduces, the Electrostatic Charge level decreases, and the flow becomes less stable in comparison with coal flow.

  • quantitative characterization of pulverized coal and biomass coal blends in pneumatic conveying pipelines using Electrostatic sensor arrays and data fusion techniques
    Measurement Science and Technology, 2012
    Co-Authors: Xiangchen Qian, Yong Yan, Lijuan Wang, Jiaqing Shao, Hao Zhou, Chao Wang
    Abstract:

    Quantitative data about the dynamic behaviour of pulverized coal and biomass–coal blends in fuel injection pipelines allow power plant operators to detect variations in fuel supply and oscillations in the flow at an early stage, enable them to balance fuel distribution between fuel feeding pipes and ultimately to achieve higher combustion efficiency and lower greenhouse gas emissions. Electrostatic sensor arrays and data fusion algorithms are combined to provide a non-intrusive solution to the measurement of fuel particle velocity, relative solid concentration and flow stability under pneumatic conveying conditions. Electrostatic sensor arrays with circular and arc-shaped electrodes are integrated in the same sensing head to measure 'averaged' and 'localized' characteristics of pulverized fuel flow. Data fusion techniques are applied to optimize and integrate the results from the sensor arrays. Experimental tests were conducted on the horizontal section of a 150 mm bore pneumatic conveyor circulating pulverized coal and sawdust under various flow conditions. Test results suggest that pure coal particles travel faster and carry more Electrostatic Charge than biomass–coal blends. As more biomass particles are added to the flow, the overall velocity of the flow reduces, the Electrostatic Charge level on particles decreases and the flow becomes less stable compared to the pure coal flow.

Hakkim Chan - One of the best experts on this subject based on the ideXlab platform.

  • high speed imaging with Electrostatic Charge monitoring to track powder deagglomeration upon impact
    Journal of Aerosol Science, 2013
    Co-Authors: Jin W Kwek, Hakkim Chan, Desmond Heng, Sie Huey Lee, Santoso Adi, Jerry Y Y Heng, Reginald B H Tan
    Abstract:

    Abstract A dry powder inhaler (DPI) is effective in treating respiratory diseases if it can deliver consistent and reliable drug dosage with each actuation. De-agglomeration and subsequent detachment of the drug from the carrier particles upon actuation depends on the interaction forces between particle and wall and particles themselves. The particle surface properties such as roughness and moisture sorption, in turn, determine the extent of the interactions. Via combining high speed imaging with non-intrusive Electrostatic measurements in an impaction throat model, the contributions of the Electrostatic forces arising from de-agglomeration and impaction behaviours of the rough and smooth particulates could be investigated at 60 L/min. Higher flowing Charges with limited agglomerate fracture upon impaction were observed for the rough carrier particles while significant agglomerate breakup and ‘plume-like’ re-entrainment behaviour was noted for the smooth ones. Increased moisture sorption on the larger specific surface area of the rough particles could have facilitated the accumulation of surface Charges while the higher dispersive surface energy could have increased the cohesiveness of the rough particles. The smooth particles easily broke up upon impaction. High speed imaging with Electrostatic monitoring has proved to be useful in investigating the mechanisms of powder de-agglomeration upon impaction.

  • the influence of flow rate on the aerosol deposition profile and Electrostatic Charge of single and combination metered dose inhalers
    Pharmaceutical Research, 2009
    Co-Authors: Susan Hoe, Hakkim Chan, Daniela Traini, Paul M Young
    Abstract:

    Purpose The capability of the Electrostatic next generation impactor (eNGI) has been investigated as a tool capable of measuring the Electrostatic Charge of single (Flixotide™; containing fluticasone propionate (FP)) and combination (Seretide™; FP and salmeterol xinafoate (SX)) pressurised metered dose inhalers (pMDIs) at different flow rates.

  • effect of relative humidity on the Electrostatic Charge properties of dry powder inhaler aerosols
    Pharmaceutical Research, 2008
    Co-Authors: Philip Chi Lip Kwok, Hakkim Chan
    Abstract:

    Purpose At present, there is no published data examining the effect of relative humidity on the Electrostatic Charges of dry powder inhaler aerosols. The charging behaviour of two commercial products, Pulmicort® and Bricanyl® Turbuhalers®, were investigated using an electrical low pressure impactor (ELPI).

  • Electrostatic Charge characterization of pharmaceutical aerosols using electrical low-pressure impaction (ELPI)
    Journal of Aerosol Science, 2004
    Co-Authors: William Glover, Hakkim Chan
    Abstract:

    Abstract A novel method for characterizing the Electrostatic Charge in pharmaceutical aerosols was developed. Electrical low-pressure impaction (ELPI) was modified and optimized to allow the measurement of aerosol particles from metered dose inhalers (MDIs) for anti-asthmatic drugs. Two commonly used MDIs, Ventolin TM and Flixotide TM , were investigated for the charging properties of their emitted aerosols. Ventolin TM aerosol was found negatively Charged, whilst Flixotide TM aerosol was bipolarly Charged, containing both positive and negative Charged particles. The Electrostatic Charge measurements for both MDIs were reproducible with %CV ranging from 3.3% to 12.5% for 10 actuations from each of the inhalers. In addition, chemical assay was undertaken to obtain mass distributions of the aerosol collected inside the ELPI. Both MDIs showed that only a small amount of the drug was recovered from the submicron size range where a large amount of Charge was present (negative Charge for Ventolin TM and positive for Flixotide TM ). For the Flixotide TM , the majority of drug was recovered from the 1 to 10 μm particles which were negatively Charged. Hence, different particle size fractions of the aerosol can contribute differently to the Charge which can feasibly be studied by the ELPI method.

Xiangchen Qian - One of the best experts on this subject based on the ideXlab platform.

  • an integrated multi channel Electrostatic sensing and digital imaging system for the on line measurement of biomass coal particles in fuel injection pipelines
    Fuel, 2015
    Co-Authors: Xiangchen Qian, Yong Yan, Lijuan Wang, Jiaqing Shao
    Abstract:

    The measurement of key parameters of biomass–coal particles in a pneumatic conveying pipeline at a power plant presents a significant challenge due to the inherent complexity of the dilute particle flow and differences in physical properties between the different kinds of fuels. This paper presents the latest development in on-line continuous measurement of mean particle velocity, concentration and particle size distribution of pulverised fuel using multi-channel Electrostatic sensing and digital imaging techniques. An integrated instrumentation system has been implemented to achieve the intended measurement of pulverised fuel particles. Comprehensive tests were conducted on a 150 mm bore horizontal pipe section of a large scale test facility using pulverised coal and biomass–coal blends. The results suggest that the characteristics of the pulverized fuel flow depend on the flow velocity and biomass proportion in the mixture and, to a large extent, on the biomass properties. It is found that coal particles travel faster and carry more Electrostatic Charge than biomass–coal blends. As more biomass particles (up to 20% by weight) are added to the flow, the particle velocity reduces, the Electrostatic Charge level decreases, and the flow becomes less stable in comparison with coal flow.

  • quantitative characterization of pulverized coal and biomass coal blends in pneumatic conveying pipelines using Electrostatic sensor arrays and data fusion techniques
    Measurement Science and Technology, 2012
    Co-Authors: Xiangchen Qian, Yong Yan, Lijuan Wang, Jiaqing Shao, Hao Zhou, Chao Wang
    Abstract:

    Quantitative data about the dynamic behaviour of pulverized coal and biomass–coal blends in fuel injection pipelines allow power plant operators to detect variations in fuel supply and oscillations in the flow at an early stage, enable them to balance fuel distribution between fuel feeding pipes and ultimately to achieve higher combustion efficiency and lower greenhouse gas emissions. Electrostatic sensor arrays and data fusion algorithms are combined to provide a non-intrusive solution to the measurement of fuel particle velocity, relative solid concentration and flow stability under pneumatic conveying conditions. Electrostatic sensor arrays with circular and arc-shaped electrodes are integrated in the same sensing head to measure 'averaged' and 'localized' characteristics of pulverized fuel flow. Data fusion techniques are applied to optimize and integrate the results from the sensor arrays. Experimental tests were conducted on the horizontal section of a 150 mm bore pneumatic conveyor circulating pulverized coal and sawdust under various flow conditions. Test results suggest that pure coal particles travel faster and carry more Electrostatic Charge than biomass–coal blends. As more biomass particles are added to the flow, the overall velocity of the flow reduces, the Electrostatic Charge level on particles decreases and the flow becomes less stable compared to the pure coal flow.

  • Flow Measurement of Biomass and Blended Biomass Fuels in Pneumatic Conveying Pipelines Using Electrostatic Sensor-Arrays
    IEEE Transactions on Instrumentation and Measurement, 2012
    Co-Authors: Xiangchen Qian
    Abstract:

    Key parameters such as particle velocity, concentration of solid particles, and stability of pulverized fuel flow in fuel injection pipelines are useful to power plant operators to detect fuel supply problems at an early stage. This paper presents the use of a novel multichannel instrumentation system with circular and arc-shaped Electrostatic sensor arrays for the online continuous measurement of “mean” and “local” characteristics of blended biomass flow. Experimental tests were conducted on a pneumatic conveying test rig under various flow conditions on both horizontal and vertical pipes. The biomass fuels tested include willow, wood, and bark. A ground grain (flour) was used to replicate a biomass of finer particles. The results suggest that, due to the physical differences between the constituent biomass fuels, the characteristics of the flow depend on the proportion of larger biomass particles in the blend. It is found that pure flour particles travel faster and carry more Electrostatic Charge than those of larger biomass particles. As more biomass particles are added to the flow, the overall velocity of the flow slows down, the Electrostatic Charge level decreases, and the flow becomes less stable compared to the pure flour flow. Particles in the vertical pipe are found to be more evenly distributed, and the particle velocity profile across the pipe cross section is more regular when compared to those in the horizontal pipe.

Rajan K Chakrabarty - One of the best experts on this subject based on the ideXlab platform.

  • erratum to morphology based particle segregation by Electrostatic Charge j aerosol sci 39 2008 785 792
    Journal of Aerosol Science, 2013
    Co-Authors: Rajan K Chakrabarty, Hans Moosmuller, Mark A Garro, Patrick W Arnott, J G Slowik, Eben S Cross, Jeongho Han, Paul Davidovits, Timothy B Onasch, Douglas R Worsnop
    Abstract:

    Erratum to: ‘‘Morphology based particle segregation by Electrostatic Charge’’ [J. Aerosol Sci. 39 (2008) 785–792] Rajan K. Chakrabarty , Hans Moosmuller , Mark A. Garro , W. Patrick Arnott , Jay G. Slowik , Eben S. Cross , Jeong-Ho Han , Paul Davidovits , Timothy B. Onasch , Douglas R. Worsnop g a Chemical Physics Program, University of Nevada, Reno, NV 89557, USA b Desert Research Institute, Nevada System of Higher Education, Reno, NV 89512, USA c Division of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA d Department of Physics, University of Nevada, Reno, NV 89517, USA e Department of Chemistry, University of Toronto, Ontario, Canada M5S 3H6 f Department of Chemistry, Boston College, Chestnut Hill, MA 02467, USA g Aerodyne Research Inc., Billerica, MA 01821, USA

  • morphology based particle segregation by Electrostatic Charge
    Journal of Aerosol Science, 2008
    Co-Authors: Rajan K Chakrabarty, Hans Moosmuller, Mark A Garro, Patrick W Arnott, J G Slowik, Eben S Cross, Jeongho Han, Paul Davidovits
    Abstract:

    A novel Charge-based technique for classifying fractal-like aerosol agglomerates based on their morphology is demonstrated. The study discusses the application of this technique to flame soot aerosols where singly and doubly net-Charged agglomerates of similar sizes were segregated using Electrostatic classifiers and shown to have different morphologies. The flexibility and simplicity of this technique does not limit its application to aerosols, making it an attractive candidate for performing particle shape selection of different types of nano and micromaterials.