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This specification covers a titanium alloy in the form of sheet and strip 0.125 inch (3.18 mm) and under in nominal thickness.

This SAE Aerospace Standard (AS) defines fiber optic fusion splicers acceptable for the installation and repair of fiber optic interconnects in aerospace applications. Two different application environments are defined, depending on whether there is risk of flammable vapor or hazardous atmosphere being present. Equipment suited to flammable or hazardous environments may be over specified for factory, depot, or other relatively safe environments. To address these different application environments, two types of fusion splicer will be specified in applicable detail specifications: Type I. For hazardous environments specifically including potentially flammable or explosive atmospheres. Type II. For environments in which it is established that there is no risk of flammable or explosive vapors being present.

The information in this document is limited to aircraft engine fuel feed, refueling, and transfer components (see 2.1). It is assumed that isothermal, liquid fluid conditions exist, herein referred to as fuel. Where applicable and allowable, it is understood that a referee fluid may be substituted for fuel.

This specification covers an aircraft-quality, low-alloy steel in the form of mechanical tubing.

AIR5933 provides an overview of contemporary technologies (i.e., sensors) that measure the proportion of oxygen in a gas. The use of these sensors in the aerospace environment, with its special constraints, is discussed and papers/reports with detailed information are summarized and referenced. The sensors are divided into expendable and non-expendable sensors. Expendable sensors are based on electrochemical properties, whereas non-expendable sensors rely on paramagnetic, photo-acoustic, electromagnetic, and laser spectroscopy properties.

This SAE Recommended Practice establishes minimum performance requirements for new pneumatic valves when tested in accordance with the test procedure outlined in SAE J1409. The performance requirements will include: a Input-output performance b Leakage characteristics c Low temperature performance d Elevated temperature performance e Corrosion resistance performance f Endurance testing g Structural integrity

This procedure is applicable to brake pad modes between 500 Hz and 16 kHz. The parameters measured with this procedure are defined as the first three natural frequencies, fn (n = 1, 2, 3), and the corresponding loss factors, η.

Energy Efficiency of Vehicles educates readers about energy and the environment and the relationship between the energy we use and the environment. The world is at a point in time when people need to make very important decisions about energy in the next few decades. This book enables readers to utilize our scientific knowledge to make good rational decisions. Energy Efficiency of Vehicles provides information on: Calculations related to energy, power, and efficiency, and the impact of using different types of energy on the environment. Environmental consequences of consuming energy. Models related to impact of city driving on the energy efficiency and fuel economy of cars and trucks.

This report examines the current interaction points between humans and autonomous systems, with a particular focus on advanced driver assistance systems (ADAS), the requirements for human-machine interfaces as imposed by human perception, and finally, the progress being made to close the gap. Autonomous technology has the potential to benefit personal transportation, last-mile delivery, logistics, and many other mobility applications enormously. In many of these applications, the mobility infrastructure is a shared resource in which all the players must cooperate. In fact, the driving task has been described as a “tango” where we—as humans—cooperate naturally to enable a robust transportation system. Can autonomous systems participate in this tango? Does that even make sense? And if so, how do we make it happen? Click here to access the full SAE EDGETM Research Report portfolio.

Time to unlock the potential of digital design tools

Protecting AV Control Circuits

Abstract To assess the effect of the presence of carbon dioxide (CO2) in natural gases on the knock resistance of fuel, the knock behavior of a lean-burn, high-speed medium Brake Mean Effective Pressure (BMEP) Combined Heat and Power (CHP) engine fueled with CH4 + 8 mole% C3H8 mixtures. The engine experiments are supplemented with ignition measurements and simulations of ignition and cylinder processes for various fuel compositions. The engine results show that increasing the fraction of CO2 results in an increase in knock resistance. The analysis of simulations of cylinder processes shows that for binary mixtures (CH4/CO2) and ternary mixtures (CH4/C3H8/CO2) the increase in knock resistance with increasing CO2 fraction is caused by the reduction in peak pressure/temperature, which consequently increases the autoignition delay time of the mixture.

Mahle’s fuel cell hydrogen plans

AV testing best practices

Consortium Supports the Development of Aerospace Material Specifications for Additive Manufacturing

The SAE International Journal of Aerospace would like to thank and acknowledge the reviewers who have done peer reviews on articles over the last 2 years:

The prediction of passenger flow is of great significance to facilitate the decision-making processes for local authorities and transport operators to provide an effective bus scheduling. In this work, a backpropagation neural network (BPNN) was adopted to predict the bus passenger flow. To reduce the prediction error and improve the prediction accuracy, a combined model CEEMDAN-BP, which combines CEEMDAN (Complete Ensemble Empirical Mode Decomposition with Adaptive Noise) method and BPNN, has been proposed. CEEMDAN is an improved method based on EEMD, which has been widely applied to signal smoothing and de-noising. Experimental results show that this combined model can exactly achieve an excellent prediction effect and improve the prediction accuracy of the network greatly.

Anti-slip regulator (ASR) is one of the most important research focuses in the field of vehicle active safety. An ASR for a distributed drive electric vehicle (DDEV) driven by four in-wheel motors is proposed in this paper, where a tire-road friction coefficient estimator and a road slope estimator are included making the ASR adaptive to road changes. The tire-road friction coefficient estimator is adopted to estimate road condition using improved Burckhardt model, so the optimal reference slip ratio is selected according to the estimated road adhesion coefficient for the maximum driving efficiency and the realization of adaptive anti-slip regulation. At the same time, the road slope is estimated using recursive least square with forgetting factor and the longitudinal acceleration sensor information is calibrated by the road slope estimation for slope adaptive velocity estimation.

As energy and environmental issues become more and more severe, fuel cell vehicles have received widespread attention due to their high efficiency (generally more than 50%) and environmental friendliness. However, durability, reliability, cost, and other issues still restrict the commercialization of fuel cells, which need to be solved through research. The fuel cell test platform is the basis for in-depth research on the reaction mechanism, dynamic model, system design, manufacturing, control, and optimization algorithms of fuel cell power generation systems. In the research process, water management is one of the crucial factors regarding the performance and durability of low temperature proton exchange membrane fuel cell. Nevertheless, the existing test platforms lack integrated fault diagnosis tools to identify flooding and drying of the fuel cell, which leads to the need for additional equipment when conducting water management research.