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CABIN ARCHITECTURE FOR WIRELESS DISTRIBUTION SYSTEM

2019-08-13
CURRENT
ARINC820
This document defines a secure Wi-Fi distribution network installed in the aircraft passenger cabin for passenger and crew use. Carry-on Portable Electronic Devices (PEDs) such as smart phones, tablets, and laptops may use this network to access public internet services provided on the aircraft.
Collection

Welding and Joining and Fastening, 2010

2010-06-01
The 12 papers in this techncial paper collection represent research in the areas of welding, riveting, joining, and fastening for automotive applications. Papers focus on the recent advances in the process optimization, analytical solution, numerical modeling, response evaluation as well as static and dynamic testing of traditional resistance spot welds, gas metal arc welds, friction stir spot welds, laser welds, rivets, mounts, adhesives, and fasteners.
Video

Introduction of New Concept U*sum for Evaluation of Weight-Efficient Structure

2011-11-01
A new index for evaluating load path dispersion is proposed, using a structural load path analysis method based on the concept of U* , which expresses the connection strength between a load point and an arbitrary point within the structure enables the evaluation of the load path dispersion within the structure by statistical means such as histograms and standard deviations. Presenter Tadashi Naito, Honda R&D Co., Ltd.
Video

Neural Network-based Optimal Control for Advanced Vehicular Thermal Management Systems

2011-12-05
Advanced vehicular thermal management system can improve engine performance, minimize fuel consumption, and reduce emissions by harmoniously operating computer-controlled servomotor components. In this paper, a neural network-based optimal control strategy is proposed to regulate the engine temperature through the advanced cooling system. Presenter Asma Al Tamimi, Hashemite University
Video

Cooling Airflow System Modeling in CFD Using Assumption of Stationary Flow

2011-11-29
Battery Electric Vehicles and Extended Range Electric Vehicles, like the Chevrolet Volt, can use electrical energy from the Grid to meet the majority of a driver�s transportation needs. This has the positive societal effects of displace petroleum consumption and associated pollutants from combustion on a well to wheels basis, as well as reduced energy costs for the driver. CO2 may also be lower, but this depends upon the nature of the grid energy generation. There is a mix of sources � coal-fired, gas -fired, nuclear or renewables, like hydro, solar, wind or biomass for grid electrical energy. This mix changes by region, and also on the weather and time of day. By monitoring the grid mix and communicating it to drivers (or to their vehicles) in real-time, electrically driven vehicles may be recharged to take advantage of the lowest CO2, and potentially lower cost charging opportunities.
Video

Data Driven Testing for HIL Systems

2011-12-05
The amount of software, computation and logic embedded into the vehicle systems is increasing. Testing of complex real time embedded systems using Hardware in Loop (HIL) simulations across different vehicle platforms has been a challenge. Data driven testing enables a qualitative approach to test these complex vehicle systems. It consists of a test framework wherein the test logic and data are independent of the HIL test environment. The data comprises variables used for both input values and output verification values. This data is maintained in a database or in the form of tables. Each row defines an independent test scenario. The entire test data is divided into three categories, High, Medium and Low. This feature gives the advantage of leveraging the same set of test data from Unit Level Testing phases to the Integration Test phase in the V-Cycle of software development. A data driven test approach helps the reuse of tests across vehicle platforms.
Video

Certification of Engine Health Management Systems: Guidelines for Selecting Software Assurance Levels

2012-03-16
The use of Engine Health Management (EHM) systems has been growing steadily in both the civilian and the military aerospace sectors. Barring a few notable exceptions (such as certain temperature and thrust margin monitoring) regulatory authorities around the world have not required these systems to be certified in any way. This is changing rapidly. New airframes and engines are increasingly being designed with the assumption that EHM will be an integral part of the way customers will operate these assets. This leads to a need for better guidelines on how such systems should be certified. The SAE E-32 committee on Propulsion System Health Monitoring is leading an industry-wide effort to develop a set of guidelines for certifying EHM systems.
Video

Estimating Return on Investment for SAVI (a Model-Based Virtual Integration Process)

2012-03-21
The System Architecture Virtual Integration (SAVI) program is a collaboration of industry, government, and academic organizations within the Aerospace Vehicle System Institute (AVSI) with the goal of structuring a new integration process that relies on a single-truth architectural framework. The SAVI approach of Integrate, then Build provides a modern distributed development environment which arrests the propagation of requirements errors through the development life cycle. It does so by capturing design assumptions and shared properties of the system design in an authoritative, annotated architectural model. This reference model provides a common, analyzable framework for confirming that system requirements remain complete, consistent, and correct at all levels of system decomposition. Core concepts of SAVI include extensive use of model-based system engineering tools and use of a single-truth reference architectural model.
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