2009Journal of Engineering GraphicsRequires access

The Fitting Algorithm of Fan Characteristic Curve

Xueyan Lu

Open publisher page 3 citations

Abstract

Usually,the high precision fan characteristic curve is formed by fitting scattered experimental data using Least Square Method or Cubic Spline Interpolation Method,but both approaches are really hard to get the best fitting effect.A new extended interpolation method to realize the high precision fitting of fan characteristic curve is presented.The fitting result of a practical example shows that this method can implement higher precision fitting compared to those mentioned above under same conditions.Owing to using the experimental data around the subsection interpolation area,it can realize the best fitting in the whole interpolation area.

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What this paper is about

Usually,the high precision fan characteristic curve is formed by fitting scattered experimental data using Least Square Method or Cubic Spline Interpolation Method,but both approaches are really hard to get the best fitting effect.A new extended interpolation method to realize the high precision fitting of fan characteristic curve is presented.The fitting result of a practical example shows that this method can implement higher precision fitting compared to those mentioned above under same conditions.Owing to using the experimental data around the subsection interpolation area,it can realize the best fitting in the whole interpolation area.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Usually,the high precision fan characteristic curve is formed by fitting scattered experimental data using Least Square Method or Cubic Spline Interpolation Method,but both approaches are really hard to get the best fitting effect.A new extended interpolation method to realize the high precision fitting of fan characteristic curve is presented.The fitting result of a practical example shows that this method can implement higher precision fitting compared to those mentioned above under same conditions.Owing to using the experimental data around the subsection interpolation area,it can realize the best fitting in the whole interpolation area.

Key concepts: Curve fitting, Interpolation (computer graphics), Algorithm, Spline interpolation, Spline (mechanical), Surface fitting, Mathematics, Computer science

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