a method of performance estimation for axial-flow turbines based on losses prediction
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abstract
the main objective in this paper is creating a method for one-dimensional modeling of multi stage axial flow turbine. the calculation used in this technique is based on common thermodynamics and aerodynamics principles in a mean stream line analyses. in this approach, loss models have to be used to determine the entropy increase across each section in the turbine stage. finally, the analysis and comparisons between the calculated results and experimental data are performed.
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A method of performance estimation for axial-flow turbines based on losses prediction
The main objective in this paper is creating a method for one-dimensional modeling of multi stage axial flow turbine. The calculation used in this technique is based on common thermodynamics and aerodynamics principles in a mean stream line analyses. In this approach, loss models have to be used to determine the entropy increase across each section in the turbine stage. Finally, the analysis an...
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در سالهای اخیر،اختلالات کیفیت توان مهمترین موضوع می باشد که محققان زیادی را برای پیدا کردن راه حلی برای حل آن علاقه مند ساخته است.امروزه کیفیت توان در سیستم قدرت برای مراکز صنعتی،تجاری وکاربردهای بیمارستانی مسئله مهمی می باشد.مشکل ولتاژمثل شرایط افت ولتاژواضافه جریان ناشی از اتصال کوتاه مدار یا وقوع خطا در سیستم بیشتر مورد توجه می باشد. برای مطالعه افت ولتاژ واضافه جریان،محققان زیادی کار کرده ...
15 صفحه اولPerformance Modeling and Examination of Losses in the Axial -Flow Compressor and Comparisonwith Experimental Results
The performance prediction of axial flow compressors at different speeds and under various pressure ratio conditions are still being developed because of costly empirical experiments. One-dimensional modeling is a simple, fast and accurate method for performance prediction in any type of compressor with different geometries. In this approach, inlet flow conditions and compressor geometry are kn...
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Journal title:
journal of mechanical research and applicationISSN 2251-7383
volume 4
issue 1 2012
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