Using Particle Image Velocimetry to Measure the Wind in a Winnowing Chamber

• 松井 正実

  Laboratory of Bioproduction and Environment Information Sciences,Division of Bioproduction and Environment Information Sciences,Department of Bioproduction Environmental Sciences,Graduate School of Bioresource and Bioenvironmental Sciences,Kyushu University

• 井上 英二

  Laboratory of Bioproduction and Environment Information Sciences,Diivision of BIoproduction and Environment Information Sciences,Deaprtment of Bioprodcution Environmental Sciences,Faculty of Agriculture,Kyushu University

• 桑野 朋子

  Research on Postharvest Technology of Horticultural Crops,Institute of Agricultural Machinery,Bio-oriented Technology Research Advancement Institution

• 森 健

• 古野 裕子

  Laboratory of Bioproduction and Environment Information Sciences,Division of Bioproduction and Environment Information Sciences,Department of Bioproduction Environmental Sciences,Graduate School of Bioresource and Bioenvironmental Sciences,Kyushu University

抄録

The array of vectors for the winnowing wind in the threshing unit was investigated uding PIV in order to improve the winnowing accuracy. It is difficult to measure wind velocities at many points simultaneously using the anemometer. However, visualization of the winnowing wind was possible using the tracer and laser beam. Futhermore, The PIV method made it possible to measure an array of vectors for the winnowing wind. The results produced by PIV concurred with the results of conventional method. The wind map obtained in this method is expected to provide essential data for understanding of the characteristics of trajectories of grain and chaff.

収録刊行物

• Journal of the Faculty of Agriculture, Kyushu University

  Journal of the Faculty of Agriculture, Kyushu University 48 (1/2), 187-193, 2003-10-01

  九州大学大学院農学研究院

キーワード

• Agronomy and Crop Science
• Biotechnology

詳細情報

• CRID: 1390572174637253376
• NII論文ID: 110001802300
• NII書誌ID: AA00247166
• DOI: 10.5109/4542
• HANDLE: 2324/4542
• ISSN: 00236152
• 本文言語コード: en
• データソース種別:
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  • IRDB
  • Crossref
  • CiNii Articles
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