PREDICTING PERFORMANCE IN A CENTRIFUGAL SUNFLOWER SEED HULLER USING FORWARD-STEPWISE REGRESSION TECHNIQUE

Authors

  • U. S. Mohammed Department of Agricultural Engineering. Ahmadu Bello University, Zaria, Nigeria Author
  • V. I. O. Ndirika Department of Agricultural Engineering, Michael Okpara University of Agriculture, Umudike, Umuhia, Nigeria Author
  • L. G. Abubakar Agricultrual Engineering Programme, Abubakar Tafawa Balewa University, Bauchi, Nigeria Author
  • O. L. Akangbe Department of Mechanical Engineering, Igbinedion University, Okada, P.M.B. 0006, Benin City, Edo State, Nigeria. Author

Keywords:

Hulling, Performance, Impact, Speed, Feed

Abstract

Multifactor relationships for estimating hulling efficiency and kernel breakage in a centrifugal type sunflower seed holler were generated using forward stepwise multiple regression technique. The effects of the generated relationships in predicting hulling performance was highly significant (p<0.01). Impeller peripheral speed was found to be the most important factor influencing hulling performance. Both speed and impact surface type had positive contributions to hulling performance while product feed rate had negative contribution.

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Published

2011-03-31

Issue

Vol. 46 No. 1 (2011): NSE TECHNICAL TRANSACTION JOURNAL (NSE TT-J)

Section

Articles