scholarly journals Numerical Modelling and Simulation of Road Crash Tests with the use of Advanced CAD/CAE Systems / Modelowanie Numeryczne I Symulacja Drogowych Testów Zderzeniowych Z Wykorzystaniem Zaawansowanych Systemów CAD/CAE

2012 ◽  
Vol 23 (1) ◽  
pp. 95-108 ◽  
Author(s):  
Tadeusz Niezgoda ◽  
Wiesław Barnat ◽  
Paweł Dziewulski ◽  
Andrzej Kiczko
Keyword(s):  
Numerical Simulation ◽  
Energy Consumption ◽  
Numerical Modelling ◽  
Low Cost ◽  
Stress And Strain ◽  
Computing Systems ◽  
Strain Fields ◽  
Simulation Process ◽  
Road Crash ◽  
Crash Tests

Abstract The paper presents the methodology of numerical modelling of road crash tests based on the selected vehicle-road barrier system using the possibilities of modern CAD /CAE computing systems for a numerical simulation process of the collision. Owing to these systems, thorough analysis of the process of collision, including the analysis of the stress and strain fields and energy consumption in the tested systems, is possible. It is possible to design and redesign virtually the barriers at a relatively low cost.

Technical Principle and Working Properties of Sludge Dredging by Airlift Water Jet

2013 ◽  
Vol 683 ◽  
pp. 585-588
Author(s):  
Xiao Feng Yang ◽  
Yong Kang ◽  
Xiao Chuan Wang ◽  
Deng Li ◽  
Zhen Fang Liao
Keyword(s):  
Numerical Simulation ◽  
Energy Consumption ◽  
Structure Analysis ◽  
Low Cost ◽  
Volume Ratio ◽  
Water Jet ◽  
Low Energy ◽  
Transport Capacity ◽  
Bubble Volume ◽  
Low Energy Consumption

The sludge in rivers, dams and municipal facilities have caused increasing attentions. The airlift water jet can make density difference between sludge and the environment, and make the sludge float automatically. A kind of airlift water jet dredging system is designed and its work properties are analyzed. Mechanical structure analysis shows that the airlift water jet dredging device is low energy consumption and easy of maintenance with low cost. Numerical Simulation shows that the bubble volume ratio will affect the flow performance: the bigger bubble volume ratio will generate higher transport capacity.

scholarly journals FSW Numerical Simulation of Aluminium Plates by SYSWELD - Part II

2016 ◽  
Vol 66 (2) ◽  
pp. 29-36 ◽  
Author(s):  
Roland Jančo ◽  
Ladislav Écsi ◽  
Pavel Élesztős
Keyword(s):  
Numerical Simulation ◽  
Material Flow ◽  
Complex Interaction ◽  
Fluid Simulation ◽  
Stress And Strain ◽  
The Finite Element Method ◽  
Friction Stir ◽  
Simulation Process ◽  
Potential Applications ◽  
Solid State Joining

Abstract Friction Stir Welding (FSW) is one of the most effective solid state joining processes and has numerous potential applications in many industries. The simulation process can provide the evolution of physicals quantities such as temperature, metallurgical phase proportions, stress and strain which can be easily measured during welding. The numerical modelling requires the modelling of the complex interaction between thermal, metallurgical and mechanical phenomena. The aim of this paper is to describe the thermal-fluid simulation of FSW using the finite element method. In the theoretical part of paper heating is provided by the material flow and contact condition between the tool and the welded material. Thermal-mechanical results from the numerical simulation using SYSWELD are also presented for aluminium alloy.

scholarly journals FSW Numerical Simulation of Aluminium Plates by Sysweld - Part I

2016 ◽  
Vol 66 (1) ◽  
pp. 47-52 ◽  
Author(s):  
Roland Jančo ◽  
Ladislav Écsi ◽  
Pavel Élesztős
Keyword(s):  
Numerical Simulation ◽  
Material Flow ◽  
Fluid Simulation ◽  
Stress And Strain ◽  
The Finite Element Method ◽  
Friction Stir ◽  
Simulation Process ◽  
Potential Applications ◽  
Solid State Joining ◽  
Physical Quantities

AbstractFriction Stir Welding (FSW) is one of the most effective solid state joining processes and it has numerous potential applications in many industries. The simulation process can provide the evolution of physical quantities such as temperature, metallurgical phase proportions, stress and strain which can be easily measured during welding. The numerical modelling requires the modelling of a complex interaction between thermal, metallurgical and mechanical phenomena. The aim of this paper is to describe the thermal-fluid simulation of FSW using the finite element method. In the theoretical part of the paper heating is provided by the material flow and contact condition between the tool and the welded material. The thermal-fluid results from the numerical simulation for aluminium alloy using SYSWELD are also presented in this paper.

Numerical Simulation Key Technical Research of Hot Bend-Forming of Auto Windshield

2011 ◽  
Vol 130-134 ◽  
pp. 2207-2210
Author(s):  
Qing Ling Zhang ◽  
Yan Guo Shi ◽  
Yuan Yuan Wen ◽  
Yan Hua Tang ◽  
Jing Bo
Keyword(s):  
Numerical Simulation ◽  
Strain Distribution ◽  
Three Dimensional ◽  
Stress And Strain ◽  
Comparison Result ◽  
Forming Process ◽  
Simulation Process ◽  
Dynamic Display ◽  
Deformation Work ◽  
Stress And Strain Distribution

Three-dimensional simplified model of auto windshield, mold, hot ring and quench ring was built using UG software in this article. Hot bend-forming numerical simulation process of auto windshield was reserched based on Show-implicit sequence solving algorithm. Finite element dynamic display simulation of press and drop forming and rebound deformation work step were finished. Distortion status, stress and strain distribution in forming process could be real-time displayed. It compared measured value and simulated value in two ways (bending depth and rebound rate) in the three groups product samples randomly selected.The comparison result proved the veracity of numerical simulation result. It had certain actual production guiding significance.

Mathematical Model of the Effective Properties of a Fiber Reinforced Composite with a Linearly Graded Transition Zone

2010 ◽  
Vol 38 (4) ◽  
pp. 286-307
Author(s):  
Carey F. Childers
Keyword(s):  
Mathematical Model ◽  
Transition Zone ◽  
Effective Properties ◽  
Local Stress ◽  
Stress And Strain ◽  
Fiber Reinforced ◽  
Strain Fields ◽  
Shear Moduli ◽  
Fiber Reinforced Composite ◽  
Reinforced Composite

Abstract Tires are fabricated using single ply fiber reinforced composite materials, which consist of a set of aligned stiff fibers of steel material embedded in a softer matrix of rubber material. The main goal is to develop a mathematical model to determine the local stress and strain fields for this isotropic fiber and matrix separated by a linearly graded transition zone. This model will then yield expressions for the internal stress and strain fields surrounding a single fiber. The fields will be obtained when radial, axial, and shear loads are applied. The composite is then homogenized to determine its effective mechanical properties—elastic moduli, Poisson ratios, and shear moduli. The model allows for analysis of how composites interact in order to design composites which gain full advantage of their properties.

scholarly journals Normative Aspects of Nudging in the International Sphere

AJIL Unbound ◽  
2021 ◽  
Vol 115 ◽  
pp. 263-267
Author(s):  
Doron Teichman ◽  
Eyal Zamir
Keyword(s):  
Energy Consumption ◽  
Organ Donation ◽  
Low Cost ◽  
National Level ◽  
The Past ◽  
The People ◽  
Posthumous Organ Donation ◽  
Regulatory Problems

The use of nudges—“low-cost, choice-preserving, behaviorally informed approaches to regulatory problems”—has become quite popular at the national level in the past decade or so. Examples include changing the default concerning employees’ saving for retirement in a bid to encourage such saving; altering the default about consent to posthumous organ donation to increase the supply of organs for transplantation; and informing people about other people's energy consumption to spur them to reduce theirs. Nudges are therefore used to promote the welfare of the people being nudged, and of society at large. However, the use of nudges has sparked a lively normative debate. When turning to the international arena, new arguments for and against nudges can be raised. This essay focuses on the normative aspects of using nudges in the international arena.

scholarly journals Numerical simulation on coal loading process of shearer drum based on discrete element method

2021 ◽  
pp. 014459872110135
Author(s):  
Zhen Tian ◽  
Shuangxi Jing ◽  
Lijuan Zhao ◽  
Wei Liu ◽  
Shan Gao
Keyword(s):  
Numerical Simulation ◽  
Discrete Element Method ◽  
Loading Rate ◽  
Low Cost ◽  
Element Model ◽  
Discrete Element ◽  
Helix Angle ◽  
Loading Process ◽  
Coal Particles ◽  
Element Method

The drum is the working mechanism of the coal shearer, and the coal loading performance of the drum is very important for the efficient and safe production of coal mine. In order to study the coal loading performance of the shearer drum, a discrete element model of coupling the drum and coal wall was established by combining the results of the coal property determination and the discrete element method. The movement of coal particles and the mass distribution in different areas were obtained, and the coal particle velocity and coal loading rate were analyzed under the conditions of different helix angles, rotation speeds, traction speeds and cutting depths. The results show that with the increase of helix angle, the coal loading first increases and then decreases; with the increase of cutting depth and traction speed, the coal loading rate decreases; the increase of rotation speed can improve the coal loading performance of drum to a certain extent. The research results show that the discrete element numerical simulation can accurately reflect the coal loading process of the shearer drum, which provides a more convenient, fast and low-cost method for the structural design of shearer drum and the improvement of coal loading performance.

scholarly journals Computation offloading through mobile vehicles in IoT-edge-cloud network

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Jun Long ◽  
Yueyi Luo ◽  
Xiaoyu Zhu ◽  
Entao Luo ◽  
Mingfeng Huang
Keyword(s):  
Reinforcement Learning ◽  
Energy Consumption ◽  
Low Cost ◽  
Computation Offloading ◽  
Mobile Edge Computing ◽  
Challenging Problem ◽  
Learning Technique ◽  
Cloud Network ◽  
The City ◽  
Task Offloading

AbstractWith the developing of Internet of Things (IoT) and mobile edge computing (MEC), more and more sensing devices are widely deployed in the smart city. These sensing devices generate various kinds of tasks, which need to be sent to cloud to process. Usually, the sensing devices do not equip with wireless modules, because it is neither economical nor energy saving. Thus, it is a challenging problem to find a way to offload tasks for sensing devices. However, many vehicles are moving around the city, which can communicate with sensing devices in an effective and low-cost way. In this paper, we propose a computation offloading scheme through mobile vehicles in IoT-edge-cloud network. The sensing devices generate tasks and transmit the tasks to vehicles, then the vehicles decide to compute the tasks in the local vehicle, MEC server or cloud center. The computation offloading decision is made based on the utility function of the energy consumption and transmission delay, and the deep reinforcement learning technique is adopted to make decisions. Our proposed method can make full use of the existing infrastructures to implement the task offloading of sensing devices, the experimental results show that our proposed solution can achieve the maximum reward and decrease delay.

scholarly journals Research on Task-Oriented Computation Offloading Decision in Space-Air-Ground Integrated Network

2021 ◽  
Vol 13 (5) ◽  
pp. 128
Author(s):  
Jun Liu ◽  
Xiaohui Lian ◽  
Chang Liu
Keyword(s):  
Energy Consumption ◽  
Decision Process ◽  
Learning Algorithm ◽  
Low Cost ◽  
Transition Process ◽  
Computation Offloading ◽  
Processing Efficiency ◽  
Integrated Network ◽  
Decision Scheme ◽  
Task Offloading

In Space–Air–Ground Integrated Networks (SAGIN), computation offloading technology is a new way to improve the processing efficiency of node tasks and improve the limitation of computing storage resources. To solve the problem of large delay and energy consumption cost of task computation offloading, which caused by the complex and variable network offloading environment and a large amount of offloading tasks, a computation offloading decision scheme based on Markov and Deep Q Networks (DQN) is proposed. First, we select the optimal offloading network based on the characteristics of the movement of the task offloading process in the network. Then, the task offloading process is transformed into a Markov state transition process to build a model of the computational offloading decision process. Finally, the delay and energy consumption weights are introduced into the DQN algorithm to update the computation offloading decision process, and the optimal offloading decision under the low cost is achieved according to the task attributes. The simulation results show that compared with the traditional Lyapunov-based offloading decision scheme and the classical Q-learning algorithm, the delay and energy consumption are respectively reduced by 68.33% and 11.21%, under equal weights when the offloading task volume exceeds 500 Mbit. Moreover, compared with offloading to edge nodes or backbone nodes of the network alone, the proposed mixed offloading model can satisfy more than 100 task requests with low energy consumption and low delay. It can be seen that the computation offloading decision proposed in this paper can effectively reduce the delay and energy consumption during the task computation offloading in the Space–Air–Ground Integrated Network environment, and can select the optimal offloading sites to execute the tasks according to the characteristics of the task itself.

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