Optimization of garlic digging shovel parameters based on EDEM and quadratic regression orthogonal rotation combination design

2020 ◽  
Author(s):  
HUANG Weitao ◽  
ZHAO Dong ◽  
LIU Cheng ◽  
MENG Xianjiang ◽  
KONG Linghui ◽  
...  
Keyword(s):  
Orthogonal Rotation ◽  
Quadratic Regression

Selection of Substrate Diameter and Filling Thickness for Artificial Wetland

2013 ◽  
Vol 690-693 ◽  
pp. 1132-1135
Author(s):  
Hong Xia Xia ◽  
Qi Hong Zhu
Keyword(s):  
Organic Pollutants ◽  
Removal Rate ◽  
Mathematic Model ◽  
Orthogonal Rotation ◽  
Quadratic Regression ◽  
Artificial Wetland ◽  
Orthogonal Regression ◽  
Wetland System ◽  
Selection Of ◽  
P Removal

As a significant part in artificial wetland system, wetland substrate is an important hub for the transformation of organic pollutants to inorganic and innoxious substance. In this thesis, with shale and quadratic-regression orthogonal rotation combination design, the diameter and filing thickness of artificial wetland substrate were optimized, and the orthogonal regression model for the P-removal rate in sewage (Y), diameter (x1) and thickness (x2) was established for wetland substrate, namely Y=77.06250-4.69914X1+3.43848X2-2.31875X12+4.38125X22-2.25000X1X2, It can be deducted from this model that the best experiment condition is that, the diameter is 10.94mm, while the filling thickness is 100.45. Under such condition, it can be inferred that the P-removal rate can reach 93.07% according to the mathematic model. It is testified that the experiment results are similar to the model values.

Taylor–Couette flows undergoing orthogonal rotation subject to thermal stratification

2021 ◽  
Vol 33 (3) ◽  
pp. 035107
Author(s):  
Obaidullah Khawar ◽  
M. F. Baig ◽  
Sanjeev Sanghi
Keyword(s):  
Thermal Stratification ◽  
Orthogonal Rotation ◽  
Taylor Couette

Research on Enzymatic Hydrolysis of Whey Protein

2013 ◽  
Vol 411-414 ◽  
pp. 3205-3209
Author(s):  
Fang Qian ◽  
Lei Zhao ◽  
Shu Juan Jiang ◽  
Guang Qing Mu
Keyword(s):  
Enzymatic Hydrolysis ◽  
Whey Protein ◽  
Degree Of Hydrolysis ◽  
Quadratic Regression ◽  
Orthogonal Regression ◽  
Single Factor Analysis ◽  
Verification Test ◽  
Enzyme Dosage ◽  
Hydrolysis Conditions ◽  
Hydrolysis Of

Based on single factor analysis for the enzymatic hydrolysis of whey protein, papain was selected as the optimal enzyme and its enzymatic hydrolysis conditions were optimized by the quadratic regression orthogonal rotary test. The orthogonal regression model for degree of hydrolysis (DH) to three factors including temperature (X1), time (X2), enzyme dosage (X3) was established as follow: DH=10.40+0.22X1+0.30X2+1.31X3+0.019X1X2+0.011X1X3-0.039X2X3-0.39X12-0.16X22-0.40X32, Verification test showed a DH of 11.7% was obtained at the optimal hydrolysis condition of 56.6°C, 113.8 min and enzyme 8213.7 U /g protein, which basically consisted with the model theoretical value.

Experimental Study on Quadruped Wheel Robot for Wheat Precision Seeding

2016 ◽  
Vol 693 ◽  
pp. 1651-1657 ◽  
Author(s):  
Hai Bo Lin ◽  
Chui Jie Yi ◽  
Zun Min Liu
Keyword(s):  
Experimental Study ◽  
Field Test ◽  
Design Method ◽  
Operating Conditions ◽  
High Yield ◽  
Orthogonal Rotation ◽  
Agricultural Machine ◽  
Main Factors ◽  
Multiple Effort

The wheat precision seeding technology provided an advanced agricultural protection for the high yield of wheat. But the lack of an effective agricultural machine made this technology difficult to apply widely. In this paper a quadruped wheel robot to achieve the wheat precision seeding technology was designed. And experimental study was taken under different operating conditions. Because of multiple effort factors, a quadratic orthogonal rotation combination design method was applied in the experiments, and identifying the main factors by analysis. Then the field test was carried out according to the main factors. The experiment results showed that the qualified rates of seeding exceed 93% in different sowing speed. That reached the agronomic requirements of wheat precision seeding.

Testing Study on the Influence Factors to the Straw Pellet Fuel Broken Strength

2013 ◽  
Vol 448-453 ◽  
pp. 786-790
Author(s):  
Wei Gao ◽  
Rong Fei Zhao ◽  
Qing Yu Liu ◽  
Xu Wei Bai
Keyword(s):  
Moisture Content ◽  
Optimal Parameter ◽  
Influence Factors ◽  
Raw Material ◽  
Single Factor ◽  
Quadratic Regression ◽  
Corn Straw ◽  
Fermentation Time ◽  
Optimization Parameter ◽  
Single Factor Experiment

This paper take link mold pellet pelletizer to carry on the pellet fuel manufacture experiment with corn straw stalk. The influence of moisture content, material size and fermentation time impact on broken strength is studied by single factor experiment. Through quadratic regression orthogonal rotating combination experiment, establish mathematics equation of the factors and the straw pellet fuel broken strength and analyze the important degree of each experimental factor impact on the granulation rate. Through the optimized computation, definite optimization parameter of the highest broken strength is that raw material moisture content is 20%, fermentation time is 4h and particle size is 2.5mm. The result of verifying experiment indicat that the optimal parameter combination and the predict data measured were consistent.

Some Minimum Cost Experimental Procedures in Quadratic Regression*

1955 ◽  
Vol 50 (269) ◽  
pp. 178-184
Author(s):  
A. de la Garza ◽  
D. S. Hawxhurst ◽  
L. T. Newman
Keyword(s):  
Minimum Cost ◽  
Quadratic Regression

Orthogonal rotation algorithms

Psychometrika ◽  
1970 ◽  
Vol 35 (2) ◽  
pp. 229-235 ◽  
Author(s):  
Robert I. Jennrich
Keyword(s):  
Orthogonal Rotation
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