Evaluation of Tobacco Mixing Uniformity Based on Projection Pursuit

Jun Li Li; Jian Lin Mao; Geng Yun Yin

doi:10.4028/www.scientific.net/AMR.601.128

Paper Titles

Machining FEM Model of Unidirectional Carbon Fiber Reinforced Laminate
p.105

The Research on the Disperse Form of PEO Fiber by Electrostatic Spinning Method
p.110

The Dynamic Behaviors and Structure Conservation of Protein BMP-2 on Hydroxyapatite Nano Surfaces
p.115

The Hydraulic Characteristics of Slope Flow
p.123

Evaluation of Tobacco Mixing Uniformity Based on Projection Pursuit
p.128

Reasonably Water Injection Time about Abnormal Pressure of Low Permeability Reservoir
p.134

Ship Synchronized Phasor Measurement Method Based on TTCAN
p.139

Finite Element Stress Analysis of a 600 MW Supercritical Boiler Superheater Outlet Header
p.144

Stress Analysis of a 600 MW Supercritical Boiler Start-Up Separator in Peak Load Operation
p.149

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 601Evaluation of Tobacco Mixing Uniformity Based on...

Evaluation of Tobacco Mixing Uniformity Based on Projection Pursuit

Abstract:

A new comprehensive evaluation method of tobacco mixing uniformity was presented in this paper. In this method, projection pursuit model was used to select evaluation index and determine the index weights. Seven chemical compositions which had a major impact on the overall evaluation, such as total volatile acid, total volatile bases, PH, polyphenol, protein, total nitrogen and chlorine were sampled repetitiously and calculated the average and coefficient of variance. Tobacco mixing uniformity was evaluated by the score according to coefficient of variance. Comprehensive evaluation of five batches of tobacco was carried out and the results were consistent with the traditional. This method was easy to get basic data and evaluation results fitted the actual. It was a simple and practical evaluation method of mixing uniformity.

You might also be interested in these eBooks

Management, Manufacturing and Materials Engineering II

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 601)

Pages:

128-133

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.601.128

Citation:

Cite this paper

Online since:

December 2012

Authors:

Jun Li Li, Jian Lin Mao, Geng Yun Yin

Keywords:

Coefficient of Variance, Genetic Algorithm (GA), Index Weights, Mixing Uniformity, Projection Pursuit Model

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] SHI Yuewei, WANG Zhihong, WANG Yi, REN Xueliang, Analysis on the Main Chemical Components of Tobacco New Varieties, Journal of Anhui Agriculture Science, 36(25): 10958-10959, (2008).

Google Scholar

[2] WANG Yi, LI Shengqun, HU Lizhong, Study on Evaluation of Tobacco Mixing Uniformity, Report Set of 2006 Tobacco Technology Conference of China Tobacco Society: 77-79, (2006).

Google Scholar

[3] DU Wen, TAN Xin1iang, YI Jianhua, SU Qingde, Evaluation of Leaf Tobacco Quality using Chemical Composition Data, Journal of Chinese Tobacco, 13(3): 25-31, (2007).

Google Scholar

[4] FU Qiang, ZHAO Xiaoyong. Theory and Application of Projection Pursuit Model [M]. Science Press, 2006, 6. XU Fei, WANG Ke, LIU Zaobao. Attribute Interval Recognition Model Based on Projection Pursuit Weight for Evaluation of Stability of Surrounding Rock, Rock and Soil Mechanics, 31(8): 2587-2591, (2010).

DOI: 10.1201/b11438-107

Google Scholar