scholarly journals Software Simulation Method for Digital IF GNSS Signal

2012 ◽  
Author(s):  
Xiangyu Wu ◽  
Jinrui Liu ◽  
Hang Gong ◽  
Gang Ou
Keyword(s):  
Simulation Method ◽  
Software Simulation

scholarly journals Shock Mechanism Analysis and Simulation of High-Power Hydraulic Shock Wave Simulator

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Xiaoqiu Xu ◽  
Han Tao ◽  
Junwei Han
Keyword(s):  
Shock Wave ◽  
High Power ◽  
Structure Optimization ◽  
Simulation Method ◽  
Mechanism Analysis ◽  
Hydraulic Shock ◽  
Characteristic Parameters ◽  
Software Simulation ◽  
Shock Mechanism ◽  
Shock Characteristic

The simulation of regular shock wave (e.g., half-sine) can be achieved by the traditional rubber shock simulator, but the practical high-power shock wave characterized by steep prepeak and gentle postpeak is hard to be realized by the same. To tackle this disadvantage, a novel high-power hydraulic shock wave simulator based on the live firing muzzle shock principle was proposed in the current work. The influence of the typical shock characteristic parameters on the shock force wave was investigated via both theoretical deduction and software simulation. According to the obtained data compared with the results, in fact, it can be concluded that the developed hydraulic shock wave simulator can be applied to simulate the real condition of the shocking system. Further, the similarity evaluation of shock wave simulation was achieved based on the curvature distance, and the results stated that the simulation method was reasonable and the structural optimization based on software simulation is also beneficial to the increase of efficiency. Finally, the combination of theoretical analysis and simulation for the development of artillery recoil tester is a comprehensive approach in the design and structure optimization of the recoil system.

Determination of Phase Transformation Point of New Type Ti-5Al-3.3V-8Mo-10Nb-1.0Zr-0.5Cr Alloy

2011 ◽  
Vol 311-313 ◽  
pp. 742-747 ◽  
Author(s):  
Shuang Jin Liu ◽  
Fen Fei Cai ◽  
Chun Xiang Cui ◽  
Xun Yao
Keyword(s):  
Titanium Alloy ◽  
Phase Transformation ◽  
Calculation Method ◽  
Simulation Method ◽  
Continuous Heating ◽  
Software Simulation ◽  
Β Phase ◽  
New Type ◽  
Heating Up

The determination of titanium alloy phase transformation point is very important for phase transformation is the theoretical basis of titanium alloy heat treatment. One new type of titanium alloy Ti-5Al-3.3V-8Mo-10Nb-1.0Zr-0.5Cr was designed and prepared, then the (α + β→β) phase transformation point of this alloy was determined using simulation method, calculation method and continuous heating-up method, and the comparison on these methods has been made in accuracy and simplicity. The phase transformation point was obtained rapidly by simulation method with the value of 806°C, it was obtained by calculation method with the value of 804.28°C, According to the results of software simulation method and calculation method ,the phase transformation point 805 is obtained by the continuous heating-up method. Compared the results of three methods, the results measured by three methods are quite approachable, the phase transformation point was 805±1°C, and the software simulation method is the most accurate and simple.

RANCANG BANGUN SIMULATOR SISTEM TREATMENT BAHAN BAKAR BIODISEL B20 PADA TANKI INDUK BAHAN BAKAR KRI YOS SUDARSO

ROTOR ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 55
Author(s):  
Hadi Prasutiyon ◽  
Arif Winarno ◽  
Edlyn Criptosan
Keyword(s):  
Diesel Fuel ◽  
Simulation Models ◽  
Simulation Method ◽  
Fuel Tank ◽  
Ansys Software ◽  
Software Simulation ◽  
Circulation Pump ◽  
Before And After ◽  
Main Engine

Biodiesel B20 is a mixture of 80% fossil diesel fuel and 20% biofuel. When using B20, the fuel has problems in the form of jelly or mud deposition, so it needs to be overcome by treatment. The treatment that is used today uses a circulation pump but has shortcomings and is not efficient so it needs to be modified using a stirrer. In this research, an analysis of the stirrer treatment using ANSYS software simulation method was carried out to determine the change of sediment before and after stirring, with stirring speed 150 rpm. The use of a stirrer simulation is to make 2 simulation models in the main tank as the largest volume and the daily tank as the smallest volume aims to determine the differences in the results of stirring in the largest and smallest tank.. At the time of stirring, the result is a decrease in sediment from 0 minutes to 4 minutes, then 4 minutes to 8 minutes, then 8 minutes to 12 minutes, then 12 minutes to 16 minutes, then 16 minutes to 20 minutes the fuel has decreased very much and the sediment is almost gone. When stirring is carried out for 20 minutes, the sediment in the fuel tank has not reached 0% so it needs to be stirred continuously until the deposit is 0%. After the fuel has not settled, the fuel is transferred to the main engine using a transfer pump. 

Software Simulation Method for Digital if GNSS Signal

2013 ◽  
Vol 756-759 ◽  
pp. 2655-2659
Author(s):  
Xiang Yu Wu ◽  
Jin Rui Liu ◽  
Hang Gong ◽  
Gang Ou
Keyword(s):  
Signal Processing ◽  
High Sensitivity ◽  
Simulation Method ◽  
Simulation Software ◽  
Signal Processing Algorithm ◽  
Software Simulation ◽  
Baseband Signal ◽  
Baseband Signal Processing ◽  
Gnss Receivers ◽  
Signal Simulation

Data simulation is an important auxiliary method for baseband signal processing algorithm design of digital IF GNSS receiver. Especially when the high sensitivity and high dynamic receivers are developed, or multipath and cross correlation mitigation techniques are considered, exact and complete tests under all kinds of necessary scenes can be carried out with the IF signal data which is generated by software simulation method. With this method, the developing efficiency can be improved and the cost can be cut down. In this paper, precise model of the IF signal is given firstly through analyzing GNSS receivers RF processing flow. Then, considering the discrete characteristic of software processing, the IF signal simulation flow and block of the simulation software are designed. Finally, the specific design process is given through a design example. When the IF signal simulation software is used for testing baseband signal processing algorithms, GNSS receivers IF signal data under every necessary test scene can be generated just by parameter adjustment.

Power of Modified Brown-Forsythe and Mixed-Model Approaches in Split-Plot Designs

Methodology ◽  
2017 ◽  
Vol 13 (1) ◽  
pp. 9-22 ◽  
Author(s):  
Pablo Livacic-Rojas ◽  
Guillermo Vallejo ◽  
Paula Fernández ◽  
Ellián Tuero-Herrero
Keyword(s):  
Repeated Measures ◽  
Statistical Power ◽  
Mixed Model ◽  
Covariance Structure ◽  
Simulation Method ◽  
Future Research ◽  
Repeated Measures Design ◽  
Fixed And Random Effects ◽  
Split Plot ◽  
High Level

Abstract. Low precision of the inferences of data analyzed with univariate or multivariate models of the Analysis of Variance (ANOVA) in repeated-measures design is associated to the absence of normality distribution of data, nonspherical covariance structures and free variation of the variance and covariance, the lack of knowledge of the error structure underlying the data, and the wrong choice of covariance structure from different selectors. In this study, levels of statistical power presented the Modified Brown Forsythe (MBF) and two procedures with the Mixed-Model Approaches (the Akaike’s Criterion, the Correctly Identified Model [CIM]) are compared. The data were analyzed using Monte Carlo simulation method with the statistical package SAS 9.2, a split-plot design, and considering six manipulated variables. The results show that the procedures exhibit high statistical power levels for within and interactional effects, and moderate and low levels for the between-groups effects under the different conditions analyzed. For the latter, only the Modified Brown Forsythe shows high level of power mainly for groups with 30 cases and Unstructured (UN) and Autoregressive Heterogeneity (ARH) matrices. For this reason, we recommend using this procedure since it exhibits higher levels of power for all effects and does not require a matrix type that underlies the structure of the data. Future research needs to be done in order to compare the power with corrected selectors using single-level and multilevel designs for fixed and random effects.

New Simplified Low Cost Simulation Method for SME Manufacturing System

2015 ◽  
Vol 9 (2) ◽  
pp. 206
Author(s):  
Tawfik Benabdallah ◽  
Nor Nait Sadi ◽  
Mustapha Kamel Abdi
Keyword(s):  
Manufacturing System ◽  
Low Cost ◽  
Simulation Method ◽  
Cost Simulation
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