The Experts below are selected from a list of 10932 Experts worldwide ranked by ideXlab platform
Tawit Chitsomboon - One of the best experts on this subject based on the ideXlab platform.
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Dimensionless Variable groups for the free-fall grain dryer
International Journal of Agricultural and Biological Engineering, 2019Co-Authors: Supitchar Meesukchaosumran, Tawit ChitsomboonAbstract:Dimensionless Variable groups (DGs) of free-fall grain dryer were developed by using the characteristic scaling method and engineering intuition. These DGs were intended for the analyses of drying characteristics and sizes of this dryer. Experiments of the free-fall rough rice dryer were carried out using different drying chambers (small and medium scales), drying air temperatures (100°C-150°C), and drying air speeds (1-3 m/s). Experimental data were used to study relationships and to validate similarities among these DGs. The results of the study showed the five appropriate Dimensionless Variables representing and describing the drying mechanism of the free-fall dryer. These DGs could be applied to design and analyze scaling up the dryer. In addition, the Dimensionless correlation was established to predict the moisture contents of rough rice while being dried by the free-fall dryer. The predicted values from this correlation were in relatively good agreement with the experimental data under the proposed drying conditions (R2=0.989, MRD=1.82% and RMSE=0.0168). Keywords: Dimensionless Variable, similarity, free-fall dryer, rough rice DOI: 10.25165/j.ijabe.20191204.4188 Citation: Meesukchaosumran S, Chitsomboon T. Dimensionless Variable groups for the free-fall grain dryer. Int J Agric & Biol Eng, 2019; 12(4): 197–204.
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A single Dimensionless Variable for solar chimney power plant modeling
Solar Energy, 2009Co-Authors: Atit Koonsrisuk, Tawit ChitsomboonAbstract:The solar chimney power plant is a relatively new technology for generating electricity from solar energy. In this paper dimensional analysis is used together with engineering intuition to combine eight primitive Variables into only one Dimensionless Variable that establishes a dynamic similarity between a prototype and its scaled models. Three physical configurations of the plant were numerically tested for similarity: fully geometrically similar, partially geometrically similar, and dissimilar types. The values of the proposed Dimensionless Variable for all these cases were found to be nominally equal to unity. The value for the physical plant actually built and tested previously was also evaluated and found to be about the same as that of the numerical simulations, suggesting the validity of the proposition. The physical meaning of this Dimensionless (similarity) Variable is also interpreted; and the connection between the Richardson number and this new Variable was found. It was found also that, for a fixed solar heat flux, different-sized models that are fully or partially geometrically similar share an equal excess temperature across the roof outlet.
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A Single Dimensionless Variable for Solar Tower Plant Modeling
2008Co-Authors: Atit Koonsrisuk, Tawit ChitsomboonAbstract:Solar tower plant is a power plant that generates mechanical energy by using a rising, buoyant hot air, which is heated by solar energy, to turn a turbine which is located at the base of a tall tower. In this paper, dimensional analysis methodology is used together with engineering intuition to combine eight primitive Variables into one (and only) Dimensionless Variable that governs similarity of model plants. Numerical simulations for several plants models were performed with geometrically similar, partial similar and dissimilar characteristics. The values of the proposed Dimensionless Variable for all these cases were found to be nominally equal, suggesting the validity of the Variable. The value for the physical plant actually built and tested previously was also evaluated to be about the same as the computed value. Engineering interpretation of this Variable is finally explained.
Roohollah Rafee - One of the best experts on this subject based on the ideXlab platform.
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determination of minimum pressure drop at different plate spacings and air velocity in a wave plate mist eliminator
Asia-Pacific Journal of Chemical Engineering, 2012Co-Authors: Sayed Abdolhossei Anitabaei, Roohollah Rafee, Hassa RahimzadehAbstract:In this article, the flow pressure drop across a wave-plate mist eliminator has been studied experimentally by changing both the air velocity and the plate spacing. The measured values for pressure losses have been compared with the results of the available formulas. Despite the literature, this study shows that by decreasing the plate spacing, the pressure loss will not remain constant. Results show that decreasing the plate spacing from 11.5 to 9.5 mm leads to a decrease in pressure loss. However, further decrease in spacing will result in an increased pressure loss. On the basis of dimensional analysis, a Dimensionless Variable is defined for spacing, and it is shown that the value of 0.24 for this Variable gives the minimum pressure coefficient for all cases studied by current experimental setup. Copyright © 2011 Curtin University of Technology and John Wiley & Sons, Ltd.
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Determination of minimum pressure drop at different plate spacings and air velocity in a wave‐plate mist eliminator
Asia-Pacific Journal of Chemical Engineering, 2011Co-Authors: Sayed Abdolhossein Banitabaei, Hassa Rahimzadeh, Roohollah RafeeAbstract:In this article, the flow pressure drop across a wave-plate mist eliminator has been studied experimentally by changing both the air velocity and the plate spacing. The measured values for pressure losses have been compared with the results of the available formulas. Despite the literature, this study shows that by decreasing the plate spacing, the pressure loss will not remain constant. Results show that decreasing the plate spacing from 11.5 to 9.5 mm leads to a decrease in pressure loss. However, further decrease in spacing will result in an increased pressure loss. On the basis of dimensional analysis, a Dimensionless Variable is defined for spacing, and it is shown that the value of 0.24 for this Variable gives the minimum pressure coefficient for all cases studied by current experimental setup. Copyright © 2011 Curtin University of Technology and John Wiley & Sons, Ltd.
Atit Koonsrisuk - One of the best experts on this subject based on the ideXlab platform.
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A single Dimensionless Variable for solar chimney power plant modeling
Solar Energy, 2009Co-Authors: Atit Koonsrisuk, Tawit ChitsomboonAbstract:The solar chimney power plant is a relatively new technology for generating electricity from solar energy. In this paper dimensional analysis is used together with engineering intuition to combine eight primitive Variables into only one Dimensionless Variable that establishes a dynamic similarity between a prototype and its scaled models. Three physical configurations of the plant were numerically tested for similarity: fully geometrically similar, partially geometrically similar, and dissimilar types. The values of the proposed Dimensionless Variable for all these cases were found to be nominally equal to unity. The value for the physical plant actually built and tested previously was also evaluated and found to be about the same as that of the numerical simulations, suggesting the validity of the proposition. The physical meaning of this Dimensionless (similarity) Variable is also interpreted; and the connection between the Richardson number and this new Variable was found. It was found also that, for a fixed solar heat flux, different-sized models that are fully or partially geometrically similar share an equal excess temperature across the roof outlet.
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A Single Dimensionless Variable for Solar Tower Plant Modeling
2008Co-Authors: Atit Koonsrisuk, Tawit ChitsomboonAbstract:Solar tower plant is a power plant that generates mechanical energy by using a rising, buoyant hot air, which is heated by solar energy, to turn a turbine which is located at the base of a tall tower. In this paper, dimensional analysis methodology is used together with engineering intuition to combine eight primitive Variables into one (and only) Dimensionless Variable that governs similarity of model plants. Numerical simulations for several plants models were performed with geometrically similar, partial similar and dissimilar characteristics. The values of the proposed Dimensionless Variable for all these cases were found to be nominally equal, suggesting the validity of the Variable. The value for the physical plant actually built and tested previously was also evaluated to be about the same as the computed value. Engineering interpretation of this Variable is finally explained.
C Fabja - One of the best experts on this subject based on the ideXlab platform.
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inclusive search for supersymmetry using razor Variables in pp collisions at s 7 tev
Physical Review Letters, 2017Co-Authors: S Chatrchya, V Khachatrya, Albe M Sirunya, A Tumasya, W Adam, E Aguilo, T Ergaue, M Dragicevic, J Ero, C FabjaAbstract:An inclusive search is presented for new heavy particle pairs produced in √s=7 TeV proton-proton collisions at the LHC using 4.7±0.1 fb-1 of integrated luminosity. The selected events are analyzed in the 2D razor space of MR, an event-by-event indicator of the heavy particle mass scale, and R, a Dimensionless Variable related to the missing transverse energy. The third-generation sector is probed using the event heavy-flavor content. The search is sensitive to generic supersymmetry models with minimal assumptions about the superpartner decay chains. No excess is observed in the number of events beyond that predicted by the standard model. Exclusion limits are derived in the CMSSM framework as well as for simplified models. Within the CMSSM parameter space considered, gluino masses up to 800 GeV and squark masses up to 1.35 TeV are excluded at 95% confidence level depending on the model parameters. The direct production of pairs of top or bottom squarks is excluded for masses as high as 400 GeV.
A. Givernaud - One of the best experts on this subject based on the ideXlab platform.
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Inclusive search for supersymmetry using the razor Variables in pp collisions at sqrt(s) = 7 TeV
Physical Review Letters, 2013Co-Authors: S. Chatrchyan, M. Besancon, S. Choudhury, M. Dejardin, D. Denegri, B. Fabbro, J.l. Faure, F. Ferri, S. Ganjour, A. GivernaudAbstract:An inclusive search is presented for new heavy particle pairs produced in sqrt(s) = 7 TeV proton-proton collisions at the LHC using 4.7 +/- 0.1 inverse femtobarns of integrated luminosity. The selected events are analyzed in the 2D razor space of MR, an event-by-event indicator of the heavy particle mass scale, and R, a Dimensionless Variable related to the missing transverse energy. The third-generation sector is probed using the event heavy-flavor content. The search is sensitive to generic supersymmetry models with minimal assumptions about the superpartner decay chains. No excess is observed in the number of events beyond that predicted by the standard model. Exclusion limits are derived in the CMSSM framework as well as for simplified models. Within the CMSSM parameter space considered, gluino masses up to 800 GeV and squark masses up to 1.35 TeV are excluded at 95% confidence level depending on the model parameters. The direct production of pairs of stop or sbottom quarks is excluded for masses as high as 400 GeV.