Numerical Investigation of Choking Cavitator Based on Orthogonal Experiment

2014 ◽  
Vol 599-601 ◽  
pp. 603-607
Author(s):  
Feng Hua Zhang ◽  
Li Wei Shan ◽  
Chuan Lin Tang
Keyword(s):  
Numerical Investigation ◽  
Orthogonal Experiment ◽  
Back Pressure ◽  
Entry Point ◽  
Characteristic Parameters ◽  
Optimal Flow ◽  
Simulation Based ◽  
Optimal Value ◽  
Optimal Values

The different structures of choking cavitator were studied by using numerically simulation based on the orthogonal experiment. Many different structures of choking cavitator were researched to get a set of parameters which can produce much stronger intensity of cavitation. The results of investigation show that the optimal values of characteristic parameters are the optimal flow value of 1.5 m3 / h, entry point of the optimal value of 35 o, the outlet diameter of 9 mm, the back pressure of 70 kPa and the throat length of 70 mm.

PRODUCTIVE LONGEVITY OF COWS: INFLUENCE OF METABOLITES OF METABOLISM ON REPRODUCTIVE FUNCTION

2020 ◽  
pp. 19-22
Author(s):  
Е.О. КРУПИН ◽  
Ш.К. ШАКИРОВ
Keyword(s):  
Life Expectancy ◽  
Ketone Bodies ◽  
Reproductive Function ◽  
Lactation Period ◽  
Protein Ratio ◽  
Protein Mass ◽  
Service Period ◽  
Optimal Value ◽  
Mass Fractions ◽  
Optimal Values

Дана оценка причин выбраковки дойных коров из стад, определена продолжительность их жизни, установлены соотношения МДЖ и МДБ в молоке коров и на основании этого выявлены взаимосвязи с содержанием кетоновых тел в молоке и некоторыми показателями воспроизводства. Наиболее часто животные выбывают из стада в связи с гинекологическими заболеваниями — 45,9%, за первые 100 дней лактации — 42,05%. Продолжительность жизни коров, выбракованных вследствие инфекционных и инвазионных болезней, является минимальной и составляет 4 года, у коров, выбывших по причине внутренних незаразных и хирургических болезней, на 15 и 20% больше. При соотношении массовых долей жира и белка (СЖБ) 1,10 и менее содержание бета-гидроксимасляной кислоты (БОМК) в молоке достоверно (на 80%, P<0,01) превышает данный показатель у животных с оптимальными значениями СЖБ. У коров с оптимальным СЖБ уровень ацетона в молоке был выше порогового на 28,57%, а у животных с низкими значениями СЖБ достоверное превышение составило 42,85% (P<0,05). Особи с СЖБ ниже оптимальных значений в первые 100 дней характеризовались более длительным периодом лактации в целом на 8,57%, в то время как у животных с оптимальным СЖБ ее продолжительность приближалась к стандартной и составила 308,13 дня (P<0,001), межотельный период был на 5,39% менее продолжительным (P<0,001). При оптимальных значениях СЖБ длительность сервис-периода равнялась 112,91 дня, что на 14,73% короче (P<0,001) продолжительности сервис-периода у животных с низкими значениями СЖБ. The analysis of the reasons for leaving dairy cows from the herd was carried out. The life expectancy of cows has been determined. The ratios of fat to protein mass fractions in cow's milk have been established. The relationship between the content of ketone bodies in milk and reproductive indicators in animals was revealed. Most often, animals leave the herd due to gynecological diseases (45.9%), and in the first 100 days of lactation (42.05%). The life expectancy of cows culled due to infectious and invasive diseases is minimal and amounts to 4 years. For cows abandoned due to internal non-communicable and surgical diseases, life expectancy was 15 and 20% longer. When the ratio of mass fractions of fat to protein was 1.10 or less, the content of beta-hydroxybutyric acid in milk significantly (by 80%, P<0.01) exceeded this indicator in animals with optimal values of the ratio of fat to protein. In cows with an optimal fat to protein ratio, the acetone level in milk was 28.57% above normal. In animals with a low value of the ratio of fat to protein, the significant excess was 42.85% (P<0.05). Animals with a ratio of fat to protein below the optimal value were characterized by a longer lactation period in general by 8.57%. In animals with an optimal fat-to-protein ratio, the duration of lactation approached the standard one and was 308.13 days (P<0.001), and the interbody period was 5.39% shorter (P<0.001). With optimal values of the fat-to-protein ratio, the duration of the service period was 112.91 days, which is 14.73% shorter (P<0.001) than the duration of the service period in animals with low values of the fat-to-protein ratio.

scholarly journals A NUMERICAL STUDY OF IMPROVED QUARK ACTIONS ON ANISOTROPIC LATTICES

2006 ◽  
Vol 21 (05) ◽  
pp. 1015-1032 ◽  
Author(s):  
SHIQUAN SU ◽  
LIUMING LIU ◽  
XIN LI ◽  
CHUAN LIU
Keyword(s):  
Quark Mass ◽  
Numerical Study ◽  
Charm Quark ◽  
Gauge Coupling ◽  
Speed Of Light ◽  
Lattice Action ◽  
Charm Quark Mass ◽  
Anisotropic Lattices ◽  
Optimal Value ◽  
Optimal Values

Tadpole improved Wilson quark actions with clover terms on anisotropic lattices are studied numerically. Using asymmetric lattice volumes, the pseudoscalar meson dispersion relations are measured for eight lowest lattice momentum modes with quark mass values ranging from the strange to the charm quark with various values of the gauge coupling β and three different values of the bare speed of light parameter ν. These results can be utilized to extrapolate or interpolate to obtain the optimal value for the bare speed of light parameter ν opt (m) at a given gauge coupling for all bare quark mass values m. In particular, the optimal values of ν at the physical strange and charm quark mass are given for various gauge couplings. The lattice action with these optimized parameters can then be used to study physical properties of hadrons involving either light or heavy quarks.

New Approach for the Continuing Dynamic Programming

2012 ◽  
Vol 459 ◽  
pp. 575-578
Author(s):  
Peng Zhang ◽  
Xiang Huan Meng
Keyword(s):  
Dynamic Programming ◽  
Objective Function ◽  
Iteration Method ◽  
Programming Model ◽  
State Equations ◽  
New Approach ◽  
Optimal Value ◽  
Convergent Method ◽  
Optimal Values ◽  
Dynamic Programming Model

The paper proposes the discrete approximate iteration method to solve single-dimensional continuing dynamic programming model. The paper also presents a comparison of the discrete approximate iteration method and bi- convergent method to solve multi-dimensional continuing dynamic programming model. The algorithm is the following: Firstly, let state value of one of state equations be unknown and the others be known. Secondly, use discrete approximate iteration method to find the optimal value of the unknown state values, continue iterating until all state equations have found optimal values. If the objective function is convex, the algorithm is proved linear convergent. If the objective function is non-concave and non-convex, the algorithm is proved convergent.

PEMFC Parameter Simulation Based on MATLAB/SIMULINK

2015 ◽  
Vol 740 ◽  
pp. 474-478
Author(s):  
Shi Zhong Chen ◽  
Zhi Gang Bao ◽  
Yi Cheng Wang
Keyword(s):  
Fuel Cell ◽  
Power Distribution ◽  
Proton Exchange Membrane ◽  
Proton Exchange ◽  
Matlab Simulink ◽  
Optimal Output ◽  
Output Performance ◽  
Simulation Based ◽  
Optimal Value ◽  
Exchange Membrane

Proton Exchange Membrane Fuel Cell (PEMFC) is established for the numerical simulation computation by using the MATLAB/SIMULINK, By changing the different working conditions, The proton exchange membrane fuel cell output performance is analyzed .Data show that the hydrogen pressure, oxygen pressure, current density, temperature, has certain influence on voltage and power distribution of PEMFC, For PEMFC to normal and stable work, according to the above conditions should be obtained the optimal value, thus ensuring optimal output performance of PEMFC.

scholarly journals Degradation of Oxytetracycline by Electrochemical, Fenton and Electro-fenton Processes Using SS316 and SS316/β-PbO2 Anodes: Process Optimization Using Rsm-ccd, Bioassay Test and Degradation Pathway

2021 ◽  
Author(s):  
Kamal Hasani ◽  
Sama Hosseini ◽  
Heliya Gholizadeh ◽  
Abdollah Dargahi ◽  
Mehdi Vosoughi
Keyword(s):  
Degradation Pathway ◽  
Electrochemical Process ◽  
Fenton Process ◽  
Optimal Conditions ◽  
Optimal Value ◽  
Anode Electrode ◽  
Optimal Values ◽  
Electrochemical Fenton ◽  
And Staphylococcus Aureus ◽  
Central Composite

Abstract The aim of the present study was to evaluate the efficiency of advanced oxidation processes (electrochemical, Fenton and electro-Fenton) in the removal of oxytetracycline using SS316 and SS316/β-PbO2 anodes. This study was performed experimentally on a laboratory scale in a 250 mL reactor. First, experiments were designed for the electrochemical process using a central composite design, and the optimal conditions for the variables pH(3.53), electric current density(3.85mA/cm2), initial concentration of oxytetracycline (20mg/L) and electrolysis time (42.35min) was obtained; then, under these conditions, the efficiency of Fenton process with FeSO4 variable without the presence of electrodes was evaluated, and its optimal value was 0.3 g/L, and then in the presence of optimal values ​​of the above 5 variables, the efficiency of electro-Fenton process with H2O2 changes were investigated and the optimal value of 0.12 was obtained for H2O2. The removal efficiencies of oxytetracycline in electrochemical, Fenton, and electro-Fenton processes were 84.7%, 73.4%, and 98.2%, respectively. Under optimal conditions, the SS316/β-PbO2 anode electrode enhanced the oxytetracycline efficiency by electron-Fenton process to 100%. The results of bioassay with microorganisms showed that the reduction of toxicity of the effluent treated by electro-Fenton process for Pseudomonas aeruginosa and Staphylococcus aureus was 84.5% and 69%, respectively.

scholarly journals Warm Season Temperature-Mortality Relationships in Chisinau (Moldova)

2013 ◽  
Vol 2013 ◽  
pp. 1-9
Author(s):  
Roman Corobov ◽  
Scott Sheridan ◽  
Kristie Ebi ◽  
Nicolae Opopol
Keyword(s):  
Moving Average ◽  
Warm Season ◽  
Apparent Temperature ◽  
Rural Populations ◽  
Main Task ◽  
Average Procedure ◽  
Daily Mortality ◽  
Air Temperatures ◽  
Optimal Value ◽  
Optimal Values

Results of the epidemiological study of relationships between air temperature and daily mortality in Chisinau (Moldova) are presented. The research’s main task included description of mortality dependence on different temperature variables and identification of thermal optimum (minimal mortality temperature, MMT). Total daily deaths were used to characterize the mortality of urban and rural populations in April–September of 2000–2008, excluding the extremely warm season of 2007. The simple moving average procedure and 2nd-order polynomials were used for daily mean (Tmean), maximum (Tmax), and minimum (Tmin) temperatures and mortality approximation. Thermal optimum for mortality in Chisinau (15.2 deaths) was observed at Tmean, Tmax, and Tmin about 22°C, 27-28°C, and 17-18°C, respectively. Considering these values as certain cut-points, the correlations between temperature and mortality were estimated below and above MMTs. With air temperatures below its optimal value, each additional 1°C increase of Tmean (Tmax, Tmin) was accompanied by 1.40% (1.35%, 1.52%) decrease in daily mortality. The increase of Tmean and Tmax above optimal values was associated with ~2.8% and 3.5% increase of mortality; results for Tmin were not statistically significant. The dependency of mortality on apparent temperature was somewhat weaker below MMT; a significant relationship above MMT was not identified.

scholarly journals New Position Candidate Identification via Clustering toward an Extensible On-Body Smartphone Localization System

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1276
Author(s):  
Mitsuaki Saito ◽  
Kaori Fujinami
Keyword(s):  
Main Parameter ◽  
Spatial Clustering ◽  
Number Of Clusters ◽  
Localization System ◽  
Identification Process ◽  
Simulation Based ◽  
Optimal Value ◽  
The One ◽  
Unsupported Position ◽  
Candidate Identification

On-body device position awareness plays an important role in providing smartphone-based services with high levels of usability and quality. Traditionally, the problem assumed that the positions that were supported by the system were fixed at the time of design. Thus, if a user stores his/her terminal into an unsupported position, the system forcibly classifies it into one of the supported positions. In contrast, we propose a framework to discover new positions that are not initially supported by the system, which adds them as recognition targets via labeling by a user and re-training on-the-fly. In this article, we focus on a component of identifying a set of samples that are derived from a single storing position, which we call new position candidate identification. Clustering is applied as a key component to prepare a reliable dataset for re-training and to reduce the user’s burden of labeling. Specifically, density-based spatial clustering of applications with noise (DBSCAN) is employed because it does not require the number of clusters in advance. We propose a method of finding an optimal value of a main parameter, Eps-neighborhood (eps), which affects the accuracy of the resultant clusters. Simulation-based experiments show that the proposed method performs as if the number of new positions were known in advance. Furthermore, we clarify the timing of performing the new position candidate identification process, in which we propose criteria for qualifying a cluster as the one comprising a new position.

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