scholarly journals Real size experiments of a car crash against a building column

2010 ◽  
Author(s):  
B. Ferrer ◽  
S. Ivorra ◽  
R. Irles ◽  
D. Mas
Keyword(s):  
Car Crash ◽  
Real Size

APPLYING THE ISF TECHNOLOGY TO PRODUCE THE CAR PART MODELS

2010 ◽  
Vol 13 (4) ◽  
pp. 91-98
Author(s):  
Tuan Dinh Phan ◽  
Binh Thien Nguyen ◽  
Dien Khanh Le ◽  
Phuong Hoang Pham
Keyword(s):  
Rapid Prototyping ◽  
Incremental Sheet Forming ◽  
Cad Model ◽  
Post Processing ◽  
Technological Parameters ◽  
Batch Production ◽  
Complex Products ◽  
3D Cad ◽  
Real Size ◽  
Single Batch

The paper presents an application the research results previously done by group on the influence of technological parameters to the deformation angle and finish surface quality in order to choose technology parameters for the incremental sheet forming (ISF) process to produce products for the purpose of rapid prototyping or single-batch production, including all steps from design and process 3D CAD model, calculate and select the technological parameters, setting up manufacturing and the stage of post-processing. The samples formed successfully showed high applicability of this technology to practical work, the complex products with the real size can be produced in industries: automotive, motorcycle, civil...

China: "A Bee Has a Stripy Back, but No One Can Call It a Tiger"

2003 ◽  
pp. 61-75
Author(s):  
V. Guelbras
Keyword(s):  
Energy Consumption ◽  
Gdp Growth ◽  
International Demand ◽  
Real Size ◽  
Rates Of Growth

The article is devoted to verification of the Chinese GDP data. The author compares the rates of GDP growth with the rates of growth of energy consumption, transport turnover of goods, and numbers of projected and constructed objects in 1980-2000. The former was significantly lower during that period. He also analyses the level of using productive capacities and the quality of production. About 25-30% of industrial productive capacities are not used because there is neither national nor international demand for their low quality goods. The main conclusion of the article is that the Chinese GDP real size is about 20-30% less than official releases.

On the Effectiveness of National Resources Utilization

2003 ◽  
pp. 31-40
Author(s):  
N. Fedorenko ◽  
V. Simchera
Keyword(s):  
Resource Potential ◽  
Low Level ◽  
Real Size

The authors are of the opinion that in order to answer the question of Russia's resource potential utilization it is necessary to measure national resources, estimate their real size, the degree of their assimilation and effectiveness. Coefficients of resource potential assimilation are considered, which suggest not only its low level but also the absence of corresponding demand. For making specific decisions aimed at increasing the level of resources utilization the authors propose a number of measures.

DESIGN, MODELING AND FABRICATION OF AN EFFICIENT CAR CRASH MANAGEMENT SYSTEM

2020 ◽  
Author(s):  
Aishani Mukerji ◽  
Rounak Chakraborty ◽  
Kalyan Chatterjee ◽  
Sayanti Banerjee
Keyword(s):  
Management System ◽  
Car Crash

scholarly journals Empirical Study of Car Crash Simulation Analysis within the Development Phase

2019 ◽  
Vol 1 (1) ◽  
pp. 2843-2852 ◽  
Author(s):  
Naouress Fatfouta ◽  
Julie Stal-Le Cardinal ◽  
Christine Royer
Keyword(s):  
Empirical Study ◽  
Qualitative Analysis ◽  
Simulation Analysis ◽  
Development Phase ◽  
Vehicle Model ◽  
Crash Simulation ◽  
Automotive Company ◽  
Car Crash ◽  
Industrial Context ◽  
Current Practices

AbstractCar crash simulation analysis is an important phase within the vehicle development. It intends to analyse the crashworthiness of the vehicle model and examine the level of passive security. However, this activity is not trivial because of the considerable collaboration within the project, the large amount of analysed and exchanged data and a high exigency. Consequently, a solution to assist, ease and reduce the time of the process is desired.To study the current practices followed in the car crash simulation analysis an empirical study has been conducted. This study has been applied within the simulation analysis team, in the development phase, within an automotive company. This paper describes a qualitative analysis of the industrial context and diagnoses the dysfunctions in the current practices. This paper also highlights the current challenges encountered in the car crash simulation analysis.

scholarly journals Limitations of Nanoparticles Size Characterization by Asymmetric Flow Field‑Fractionation Coupled with Online Dynamic Light Scattering

2021 ◽  
Author(s):  
Francesco Giorgi ◽  
Judith M. Curran ◽  
Douglas Gilliland ◽  
Rita La Spina ◽  
Maurice Whelan ◽  
...  
Keyword(s):  
Light Scattering ◽  
Dynamic Light Scattering ◽  
Flow Field ◽  
Field Flow Fractionation ◽  
Asymmetric Flow ◽  
Uv Detector ◽  
Elution Time ◽  
On Line ◽  
Real Size ◽  
Flow Fractionation

AbstractThe development of reliable protocols suitable for the characterisation of the physical properties of nanoparticles in suspension is becoming crucial to assess the potential biological as well as toxicological impact of nanoparticles. Amongst sizing techniques, asymmetric flow field flow fractionation (AF4) coupled to online size detectors represents one of the most robust and flexible options to quantify the particle size distribution in suspension. However, size measurement uncertainties have been reported for on-line dynamic light scattering (DLS) detectors when coupled to AF4 systems. In this work we investigated the influence of the initial concentration of nanoparticles in suspension on the sizing capability of the asymmetric flow field-flow fractionation technique coupled with an on-line dynamic light scattering detector and a UV–Visible spectrophotometer (UV) detector. Experiments were performed with suspensions of gold nanoparticles with a nominal diameter of 40 nm and 60 nm at a range of particle concentrations. The results obtained demonstrate that at low concentration of nanoparticles, the AF4-DLS combined technique fails to evaluate the real size of nanoparticles in suspension, detecting an apparent and progressive size increase as a function of the elution time and of the concentration of nanoparticles in suspension.

scholarly journals Preliminary Results on the Dynamics of a Pile-Moored Fish Cage with Elastic Net in Currents and Waves

2020 ◽  
Vol 9 (1) ◽  
pp. 14
Author(s):  
Gianluca Zitti ◽  
Nico Novelli ◽  
Maurizio Brocchini
Keyword(s):  
Numerical Model ◽  
Laboratory Experiments ◽  
Numerical Models ◽  
Offshore Structures ◽  
Fish Farm ◽  
Maximum Displacement ◽  
Drag Forces ◽  
Real Size ◽  
Lift And Drag ◽  
Mesh Grid

Over the last decades, the aquaculture sector increased significantly and constantly, moving fish-farm plants further from the coast, and exposing them to increasingly high forces due to currents and waves. The performances of cages in currents and waves have been widely studied in literature, by means of laboratory experiments and numerical models, but virtually all the research is focused on the global performances of the system, i.e., on the maximum displacement, the volume reduction or the mooring tension. In this work we propose a numerical model, derived from the net-truss model of Kristiansen and Faltinsen (2012), to study the dynamics of fish farm cages in current and waves. In this model the net is modeled with straight trusses connecting nodes, where the mass of the net is concentrated at the nodes. The deformation of the net is evaluated solving the equation of motion of the nodes, subjected to gravity, buoyancy, lift, and drag forces. With respect to the original model, the elasticity of the net is included. In this work the real size of the net is used for the computation mesh grid, this allowing the numerical model to reproduce the exact dynamics of the cage. The numerical model is used to simulate a cage with fixed rings, based on the concept of mooring the cage to the foundation of no longer functioning offshore structures. The deformations of the system subjected to currents and waves are studied.

scholarly journals Designing an Artificial Intelligence Control Program Model to be Tested and Implemented in Virtual Reality for Automated Chevrolet Camaro

Proceedings ◽  
2020 ◽  
Vol 63 (1) ◽  
pp. 44
Author(s):  
Lavinia Andrei ◽  
Doru-Laurean Baldean ◽  
Adela-Ioana Borzan
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Control Program ◽  
Specific Model ◽  
Virtual Model ◽  
Program Model ◽  
Real Size ◽  
Virtual Modeling ◽  
And Robotics ◽  
Virtual Reality Application

A control program was designed with Unity 5 virtual reality application in the automotive and robotics field. Thus, a virtual model of a robotic car was tested in a virtual reality program. After optimization, the smart controller was implemented on a specific model of the automated Chevrolet Camaro. The main objective of the present paper is to design a control program model to be tested in virtual reality and in a real-size car. Results concerning the virtual modeling of an automated car and its artificial intelligence controls have been presented and discussed, outlining the forces, torques, and context awareness capabilities of the car.

scholarly journals Sound Event Detection in Underground Parking Garage Using Convolutional Neural Network

2020 ◽  
Vol 4 (3) ◽  
pp. 20 ◽  
Author(s):  
Giuseppe Ciaburro
Keyword(s):  
Event Detection ◽  
High Accuracy ◽  
Surveillance Systems ◽  
Urban Mobility ◽  
Parking Garage ◽  
Large Size ◽  
Car Crash ◽  
Sound Event ◽  
Parking Management ◽  
Sound Event Detection

Parking is a crucial element in urban mobility management. The availability of parking areas makes it easier to use a service, determining its success. Proper parking management allows economic operators located nearby to increase their business revenue. Underground parking areas during off-peak hours are uncrowded places, where user safety is guaranteed by company overseers. Due to the large size, ensuring adequate surveillance would require many operators to increase the costs of parking fees. To reduce costs, video surveillance systems are used, in which an operator monitors many areas. However, some activities are beyond the control of this technology. In this work, a procedure to identify sound events in an underground garage is developed. The aim of the work is to detect sounds identifying dangerous situations and to activate an automatic alert that draws the attention of surveillance in that area. To do this, the sounds of a parking sector were detected with the use of sound sensors. These sounds were analyzed by a sound detector based on convolutional neural networks. The procedure returned high accuracy in identifying a car crash in an underground parking area.

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