The Experts below are selected from a list of 210 Experts worldwide ranked by ideXlab platform

Sam Fong Yau Li - One of the best experts on this subject based on the ideXlab platform.

Shyam Sunder - One of the best experts on this subject based on the ideXlab platform.

  • development of mixture composition maldistribution in a distillation column with structured packing
    Theoretical Foundations of Chemical Engineering, 2010
    Co-Authors: Aleksandr N. Pavlenko, Shyam Sunder, Yu V Chekhovich, N. I. Pecherkin, V. E. Zhukov, Patrick Alan Houghton
    Abstract:

    The distribution of the composition of a mixture of Freons R-114 and R-21 over the cross section of a distillation column filled with structured packing is experimentally studied. Results on the efficiency of Freon mixture separation, the pressure drop in the packing, and the distribution of the local concentration of the low-boiling component throughout the cross section and height of the structured packing are presented. The vapor phase load factor was varied over a wide range up to hydraulic flooding. According to the experimental results, the large-scale maldistribution of the mixture composition occurs inside the packing over the column cross section, even though the overall separation performance of the column is excellent. Maldistribution is observed throughout the total height of the column. The location of the large zones of maldistribution significantly depends on the liquid and vapor flow rates.

  • Experimental study of the effect of maldistribution at the structured packing inlet on the Freon mixture separation efficiency
    Theoretical Foundations of Chemical Engineering, 2009
    Co-Authors: Aleksandr N. Pavlenko, N. I. Pecherkin, Vladimir Chekhovich, V. E. Zhukov, Shyam Sunder
    Abstract:

    The results of an experimental study of the effect of the initial maldistribution over a structured packing on the separation efficiency of a binary Freon mixture are considered. The study was performed in a distillation column 0.9 m in diameter on a mixture of R114 and R21 Freons. The results on the efficiency of Freon mixture separation, the pressure drop on the packing, and the distribution of the local liquid flow rate under the packing are presented. The experimental results showed that the rotation angle of structured packed layers have a significant effect on the efficiency of mixture separation in the case of maldistribution.

Aleksandr N. Pavlenko - One of the best experts on this subject based on the ideXlab platform.

  • development of mixture composition maldistribution in a distillation column with structured packing
    Theoretical Foundations of Chemical Engineering, 2010
    Co-Authors: Aleksandr N. Pavlenko, Shyam Sunder, Yu V Chekhovich, N. I. Pecherkin, V. E. Zhukov, Patrick Alan Houghton
    Abstract:

    The distribution of the composition of a mixture of Freons R-114 and R-21 over the cross section of a distillation column filled with structured packing is experimentally studied. Results on the efficiency of Freon mixture separation, the pressure drop in the packing, and the distribution of the local concentration of the low-boiling component throughout the cross section and height of the structured packing are presented. The vapor phase load factor was varied over a wide range up to hydraulic flooding. According to the experimental results, the large-scale maldistribution of the mixture composition occurs inside the packing over the column cross section, even though the overall separation performance of the column is excellent. Maldistribution is observed throughout the total height of the column. The location of the large zones of maldistribution significantly depends on the liquid and vapor flow rates.

  • Experimental study of the effect of maldistribution at the structured packing inlet on the Freon mixture separation efficiency
    Theoretical Foundations of Chemical Engineering, 2009
    Co-Authors: Aleksandr N. Pavlenko, N. I. Pecherkin, Vladimir Chekhovich, V. E. Zhukov, Shyam Sunder
    Abstract:

    The results of an experimental study of the effect of the initial maldistribution over a structured packing on the separation efficiency of a binary Freon mixture are considered. The study was performed in a distillation column 0.9 m in diameter on a mixture of R114 and R21 Freons. The results on the efficiency of Freon mixture separation, the pressure drop on the packing, and the distribution of the local liquid flow rate under the packing are presented. The experimental results showed that the rotation angle of structured packed layers have a significant effect on the efficiency of mixture separation in the case of maldistribution.

Pengyuan Yang - One of the best experts on this subject based on the ideXlab platform.

  • Zeolite-modified microcantilever gas sensor for indoor air quality control
    Sensors and Actuators B: Chemical, 2003
    Co-Authors: Jia Zhou, Po Li, Yingcai Long, Song Zhang, Yiping Huang, Pengyuan Yang, Feng Zhou, Minhang Bao
    Abstract:

    To control indoor air quality, a novel Freon gas sensor of piezoelectric microcantilever coated with zeolite has been developed in this paper. Excited by an ac voltage, the microcantilever is employed to detect the concentration of sample Freon-12 gas ranged from 0 to 100ppm by the effect of the specific MFI zeolite modification. High selectivity and sensitivity combined with excellent repeatable and reversible performances are shown. The relationship between the frequency shift in percent and the concentration of Freon gas is linear. The minimum mass changing of 3.5 × 10-9g and the sensitivity of -0.0024%/ppm are determined from the experimental results. © 2003 Elsevier Science B.V. All rights reserved.

  • Quantitative determination of Freon gas using an electronic nose
    Analyst, 2002
    Co-Authors: Liangyi Zhang, Feng Zhou, Yu Lu, Pengyuan Yang
    Abstract:

    This paper reports a quantitative electronic nose (enose) for the quantitative determination of Freon gas within the concentration range 0–1000 ppm in the presence of interfering gases such as water, lubricant and petrol vapours. This quantitative enose is a new type of Freon detection system, composed of an array of four sensors. The artificial neural network (ANN) and fuzzy logic type of ANN (FNN), in combination with the relative error concept in analytical chemistry, are integrated for both quantification and discrimination. The predicted results are satisfied with a pass rate of >80% within the permitted relative errors. The results show that the Freon enose developed in this study is reliable for both the qualitative and quantitative determination of Freon gas and exhibits the merits of high sensitivity, anti-interference and accuracy.

E G Danilenko - One of the best experts on this subject based on the ideXlab platform.