The Test and Simulation Modeling of Micro Scale Solid Particles Fuel Cloud Dispersal under High Dynamic

2015 ◽  
Vol 645-646 ◽  
pp. 942-947
Author(s):  
Xin Jin ◽  
Wen Zhong Lou ◽  
Ming Ru Guo ◽  
Xi Ming Dai
Keyword(s):  
Simulation Modeling ◽  
Solid Particles ◽  
Simulation Methods ◽  
Model Data ◽  
Real Situation ◽  
Solid Explosive ◽  
Whole Process ◽  
Internal Parameters ◽  
Experiment Method ◽  
High Dynamic

Cloud forming by solid explosive dispersal plays a decisive factor for twice-detonating FAE. The study of the flow field of internal cloud field can be more intuitive to understand the whole process of the formation of cloud diffusion, and it also has an important role to the delay time setting of secondary detonating fuze. Internal parameters of spreading cloud are difficult to obtain even through by the experiment method, but numerical analysis and simulations method can get the parameter. In this paper, we use experimental and simulation methods to study fuel dispersal process, aims to establish an effective and reliable mathematical models of cloud dispersal, and get the model data coinciding with the real situation.

scholarly journals Quality estimation of stochastic control system using simulation methods

2021 ◽  
Vol 61 ◽  
pp. 29-37
Author(s):  
Linas Aidokas ◽  
Laimutis Adolfas Telksnys
Keyword(s):  
Control System ◽  
Control Systems ◽  
Stochastic Control ◽  
Human Behavior ◽  
Experimental Research ◽  
Simulation Modeling ◽  
Management Systems ◽  
Simulation Methods ◽  
Quality Estimation ◽  
Stochastic Control System

The stochastic control system is investigated.  The article solves the problem of human-robot humanoid communication.  The problem arises in the development of human behavior formation management systems. They describe human behavior in terms of probabilistic characteristics. Such control systems are stochastic. The management system of human behavior formation and its functioning is described quality assessment. The problem is solved by simulation modeling. The software implementing the method is described. The results of experimental research are presented.

The Application of Subsection Simpson Integration on Artillery Firing Efficiency Simulation Modeling

2011 ◽  
Vol 130-134 ◽  
pp. 2655-2660
Author(s):  
Zhi Qiang Zhao ◽  
Bo Chuan Jiang
Keyword(s):  
Simulation Modeling ◽  
Large Scale ◽  
Evaluation Model ◽  
Computation Method ◽  
Two Dimensional ◽  
Statistical Experiment ◽  
Large Scale Simulation ◽  
Experiment Method ◽  
Simulation Results ◽  
Firing Efficiency

The evaluation model of artillery firing efficiency is widely applied to firepower command&control and large-scale simulation, itis very important for improving precision and speed of calculation to enhance capability of firepower command&control and large-scale simulation. Two-dimensional subsection Simpson integration was introduced to evaluation the model, the analysis of two-dimensional subsection Simpson integration in theory showed that convergence speed of two-dimensional subsection Simpson integration enhance to O(h4). The simulation results indicate that, speed of two-dimensional subsection Simpson integration is higher 20 times than statistics experiment method, precision of two-dimensional subsection Simpson integration is a little higher than the typical numerical integration such as midpoint formula integration and statistical experiment method, but it can promotes precision by 10% than approximate computation method.

Compartment Method for Dynamic Multi-Scale Simulation of Precipitation Reactors

2014 ◽  
Author(s):  
Lukas Metzger ◽  
Matthias Kind
Keyword(s):  
Control Volume ◽  
Solid Particles ◽  
State Variables ◽  
Production Scale ◽  
Promising Tool ◽  
Complex Interactions ◽  
Internal Parameters ◽  
External Population ◽  
Microscale Modeling ◽  
Insight Into

Precipitation crystallization is one possibility to produce nano-scaled solid particles from the liquid phase. High nucleation and growth rates are generated by mixing two well soluble reactants and their subsequent reaction to a sparingly soluble product. These primary processes can be very fast. Therefore experimental access to internal parameters is given insufficiently due to predominantly very short process times. Computational Fluid Dynamics (CFD) based methods are a promising tool to gain insight into those inaccessible processes. Unfortunately, 3D modeling of complex precipitation reactors poses enormous difficulties and computational costs to CFD especially in the production scale under the aspect of macroscopic flowfields down to microscale modeling of mixing, rheology and particle formation. Therefore, a new methodic approach is presented that is able to handle these complex interactions. Due to local and temporal multiscale complexity, it is not advisable to model the complete apparatus. One basic principle of the methodical consideration is the arrangement of cross-linked compartments to reduce the huge unsimulatable control volume in its complexity and dimensions. Thereby, population balance equations (PBE) are solved, using CFD measured, average state variables, with a discrete one-dimensional High Resolution Finite Volume (HRFV) algorithm. Nevertheless appropriate fundamental kinetics for primary and secondary processes have to be implemented. Besides the new methodic approach, this paper deals with the influence of temporal supersaturation buildup on the product particle distribution. It is shown that important conclusions about the mixing behavior of Confined Impinging Jet mixers (CIJMs) can be drawn by coupling CFD and external population balancing even without any micromixing model. The contribution provides an insight into the methodic approach and first derived results.

Finite Element Analysis of Cylinder Involute Tooth Gear Based on ANSYS

2012 ◽  
Vol 184-185 ◽  
pp. 210-213
Author(s):  
You Dong Ye ◽  
Zhe Bo Zhou
Keyword(s):  
Theoretical Basis ◽  
Bending Strength ◽  
File Format ◽  
Ansys Software ◽  
Real Situation ◽  
Element Analysis ◽  
Gear Teeth ◽  
Whole Process ◽  
Tooth Gear ◽  
The Face

In this paper, a cylinder involute gear model is established in AUTOCAD2007 software. SAT file format is imported in the ANSYS software and contact stress on gear meshing position is analyzed. The stress distribute drafts of the gear is obtained so that it is convenient to check the bending strength of the root of the gear and the fatigue contact strength of the face of the gear. The result is similar to the real situation. The whole process of model construction, analysis shows that ANSYS software is a reliable and effective tool which could provide theoretical basis to the gear teeth strength designation.

MULTI-AGENT SIMULATION MODELING OF MILK INTAKE PROCESS

2021 ◽  
Vol 13 (4) ◽  
pp. 4-8
Author(s):  
Yu. Gridnev ◽  
E. Nazoykin ◽  
I. Blagoveschenskiy ◽  
D. Stukalenko ◽  
E. Kuzero
Keyword(s):  
Simulation Modeling ◽  
Food Production ◽  
Digital Tools ◽  
Simulation Methods ◽  
Multi Agent System ◽  
Simulation Environment ◽  
Intake Process ◽  
Real Process ◽  
Agent Simulation ◽  
Multi Agent

The article is devoted to the creation of a multi-agent simulation model of the production process of receiving and storing milk; the description of the main parameters and the results obtained during the work with experiments with the model, as well as the description of the implementation of the multi-agent system using the Anylogic simulation environment are given. The introduction of multi-agent simulation methods allows to use digital tools to create a virtual copy of a real process with the ability to predict and identify food production facilities. The usage of simulation modeling is necessary for conducting experiments aimed at improving production processes through virtual testing.

Life Cycle VV&A Simulation Modeling Process Based on Validation

2011 ◽  
Vol 80-81 ◽  
pp. 511-515
Author(s):  
Jun Sun ◽  
Bei Ke Zhang ◽  
Chong Guang Wu
Keyword(s):  
Life Cycle ◽  
Simulation Modeling ◽  
Model Development ◽  
Model Verification ◽  
System Level ◽  
Complex Object ◽  
Whole Process ◽  
Modeling Process ◽  
Development Technology ◽  
Research Achievement

Simulation modeling VV&A is verification, validation and accreditation. In the field of petrochemical industry, focus of VV&A still lays on the model validation, and people always do appropriate model verification, validation work after model development. It does not yet formed a complete hierarchy or framework for effective implementation of life cycle VV&A. This paper referenced the research achievement of military simulation modeling and test-driven software development technology, introduced the modeling VV&A technology into the whole life of the model development. Simulation modeling process based on validation discussed in this paper is totally based on validation, and it is carried out closely around VV&A from appearance of the first idea to the final application. As a result, people can completely control the whole process of model development. At the same time of improving model accuracy, reliability and credibility, such process could greatly improve the efficiency of model development and effectively reduce the model development period. And this process can be also applied to system-level, complex object.

scholarly journals Application of simulation methods to optimize the composition of technological complexes of machines

2019 ◽  
Vol 298 ◽  
pp. 00054
Author(s):  
Anton Novichenko ◽  
Aleksandr Kononenko
Keyword(s):  
Environmental Management ◽  
Decision Making ◽  
Simulation Modeling ◽  
Simulation Methods ◽  
Optimal Parameters ◽  
Technological Systems ◽  
Organizational Decision Making ◽  
Multi Agent ◽  
Automated Support

The paper proposes a method for determining the optimal parameters of technological systems in environmental management, based on the principles of automated support for organizational decision-making during the formation of production structures and effective technological complexes of machines. The technique is based on simulation modeling of various options for the implementation of the process using a multi-agent approach

scholarly journals Simulation Modeling Methods and Tools in the Study of Electronics Preproduction

2020 ◽  
Vol 35 ◽  
pp. 04015
Author(s):  
Alexey E. Kurnosenko ◽  
Ivan V. Levin ◽  
Valeria O. Semenyakina ◽  
Evgeny R. Zakharov ◽  
Artem E. Sherstyuk
Keyword(s):  
Simulation Modeling ◽  
Printed Circuit Boards ◽  
Educational Process ◽  
Digital Model ◽  
Utilization Rate ◽  
Simulation Methods ◽  
Circuit Boards ◽  
Functional Capabilities ◽  
Equipment Utilization ◽  
Plant Simulation

The paper is devoted to the selection and application of simulation methods and tools when creating a digital model of the production floor and the preproduction of the assembly process of electronic modules on printed circuit boards. The advantage of simulation modeling for creating a digital manufacturing model is shown. The introduction of simulation methods in the educational process is considered. Using the developed digital model for the manufacturing of a typical product as an example, the functional capabilities of the Plant Simulation module from the Tecnomatix software package developed by Siemens PLM Software are considered. The main simulation results in terms of productivity of the designed production floor are considered. The digital model was improved in order to increase the technological equipment utilization rate and the total productivity of the assembly floor.

Applied Research of Simulation Method in Calculate the Hit Probability of Acoustic Homing Torpedo

2010 ◽  
Vol 148-149 ◽  
pp. 353-358
Author(s):  
Bao Wei Song ◽  
Nan Li
Keyword(s):  
Analytical Method ◽  
Applied Research ◽  
Simulation Method ◽  
Engineering Calculation ◽  
Simulation Methods ◽  
Actual Situation ◽  
New Approach ◽  
Whole Process ◽  
Simulink Simulation ◽  
Methods Of Calculation

At present, in the field of engineering calculation, the methods of calculation "probability" is the important analytical method. However, these are many uncertainties in the actual work; the results of analytical methods are often more serious deviation from the actual situation. With the development of computers, computing staff find out a new approach to calculation "probability" - simulation method. This method simulates the whole process of practical work through to calculate the probability. However, this method has not been verified whether or not to apply in the calculation of torpedo hit probability. To address this situation, this paper find out an acoustic homing torpedo for hit probability simulation methods, with the Matlab Simulink simulation module, and verified by example to prove that equally can be applied in the calculation of torpedo hit probability.

Material Flow Design Supported by Simulation Methods

2014 ◽  
Vol 474 ◽  
pp. 91-96
Author(s):  
Miriam Matúšová
Keyword(s):  
Material Flow ◽  
Manufacturing Systems ◽  
Optimal Solution ◽  
Production Quality ◽  
Working Environment ◽  
Production Costs ◽  
Design Solution ◽  
Simulation Methods ◽  
Material Flows ◽  
Whole Process

Design solution of material flows planning in manufacturing systems belongs to key aspects that the project engineers must resolute. The conception and technical material flow realisation considerable define the dependability, promptness, consistence and next needed flows of work in the material flow. These necessary material flow functions influence the production quality, the amounts of production costs and the producer profitability. Follow up is starting to use the simulation methods at material flow designs and innovations. These methods are used in verification of new designs of material flows or in validation of just realised material flows. There is possibility of verification and validation usage by software Witness. Witness software simulation offers an optimal solution of problems by means. It enables to simulate working environment as well as material flows. The result is the higher efficiency of whole process and elimination of problems.

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