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Research Papers: Operations, Applications & Components

Mechanical Efficiency Optimization of a Sliding Vane Rotary Compressor

[+] Author and Article Information
Yuan Mao Huang

Department of Mechanical Engineering, National Taiwan University, Taiwan, R.O.C.ymhuang@ntu.edu.tw

San Nan Tsay

Department of Mechanical Engineering, National Taiwan University, Taiwan, R.O.C.

J. Pressure Vessel Technol 131(6), 061601 (Oct 09, 2009) (8 pages) doi:10.1115/1.4000195 History: Received March 05, 2008; Revised August 19, 2009; Published October 09, 2009

This study presents the mechanical efficiency optimization of a sliding vane rotary compressor by using genetic algorithms. Relevant air properties, volume segments, vane loadings and stresses, friction forces, compression power, and power loss are calculated to determine the mechanical efficiency of a compressor. Design variables include the major axis length and minor axis length of the elliptical stator inner contour, thickness, depth and width of vanes, mechanical efficiency, rotor rotational speed, polytropic exponent, and angular locations of the inlet and outlet ports. The effects of the mutation rate, crossover rate, and population size of the genetic algorithms on these design variables are studied. The vane is thin and the variation effects of vane dimensions on the mechanical efficiency of the compressor are less significant than other design variables. Therefore, the dimensions of vanes can be eliminated as design variables. The mechanical efficiency of the compressor is 0.55. The optimum values of these design variables are recommended for further development of the compressor.

Copyright © 2009 by American Society of Mechanical Engineers
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Figures

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Figure 1

Schematic drawing of sliding vane rotary compressor

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Figure 2

First type of loading on vane

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Figure 3

Minimum solution f(3.0,2.0) for various population sizes

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Figure 4

Minimum solution f(−2.81,3.13) for various population sizes

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Figure 5

Optimum solutions for various population sizes

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Figure 6

Optimum major axis length of ellipse for ten solutions

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Figure 7

Optimum minor axis length of ellipse for ten solutions

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Figure 8

Optimum vane thickness for ten solutions

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Figure 9

Optimum vane depth for ten solutions

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Figure 10

Optimum vane width for ten solutions

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Figure 11

Optimum mechanical efficiency for ten solutions

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Figure 12

Optimum rotor rotational speed for ten solutions

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Figure 13

Optimum polytropic exponent for ten solutions

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Figure 14

Optimum trailing angular location of left inlet port θ2

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Figure 15

Optimum leading angular location of left inlet port θ6

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Figure 16

Optimum trailing angular location of left outlet port θ5

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Figure 17

Optimum leading angular location of left outlet port θ1

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Figure 18

Effect of population size on mechanical efficiency

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Figure 19

Effect of mutation rate on mechanical efficiency

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Figure 20

Effect of crossover rate on mechanical efficiency

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Figure 21

Optimization processes of compressor

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