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2024–2025 Reviewers
Pilla, Srikanth
Aircraft operations during landing or takeoff depend strongly on runway surface conditions. Safe runway operations depend on the tire-to-runway frictional force and the drag offered by the aircraft. In the present research article, a methodology is developed to estimate the braking friction coefficient for varied runway conditions accurately in real-time. To this end, the extended Kalman filtering technique (EKF) is applied to sensor-measured data using the on-ground mathematical model of aircraft and wheel dynamics. The aircraft velocity and wheel angular velocity are formulated as system states, and the friction coefficient is estimated as an augmented state. The relation between the friction coefficient and wheel slip ratio is established using both simulated and actual ground roll data. Also, the technique is evaluated with the simulated data as well as real aircraft taxi data. The accuracy of friction estimation, with and without the measurement of normal reaction force on the
T.K., Khadeeja NusrathSingh, Jatinder
The following schematic diagrams reflect various methods of illustrating automotive transmission arrangements. These have been developed to facilitate a clear understanding of the functional interrelations of the gearing, clutches, hydrodynamic drive unit, and other transmission components. Two variations of transmission diagrams are used: in neutral (clutches not applied) and in gear. For illustrative purposes, some typical transmissions are shown.
Automatic Transmission and Transaxle Committee
This AIR is limited to the testing of an extra-high strength copper alloy and benchmark conductors utilizing the test protocol of AS6324. All samples are 19 strand unilay conductors per AS29606 at 24 or 26 AWG, either nickel or silver coated. At 24 AWG, extra-high strength copper alloy is compared to high strength copper alloy conductors. At 26 AWG, extra-high strength copper alloy is compared to high strength copper alloy and ultrahigh strength copper alloy conductors.
AE-8D Wire and Cable Committee
E-25 General Standards for Aerospace and Propulsion Systems
This information report covers all known aircraft with respect to deicing operations, especially with regard to OEM pressure and temperature limitations on the airframe. It provides data for airlines/operators on compliance with OEM limits and confirms that OEM limits are not exceeded during deicing operations.
G-12M Methods Committee
This SAE Recommended Practice is derived from the FMVSS 105 vehicle test and applies to two-axle multipurpose passenger vehicles, trucks, and buses with a GVWR above 4540 kg (10000 pounds) equipped with hydraulic service brakes. There are two main test sequences: the Development Test Sequence for generic test conditions when not all information is available or when an assessment of brake output at different inputs is required, and the FMVSS Test Sequence when vehicle parameters for brake pressure as a function of brake pedal input force and vehicle-specific loading and brake distribution are available. The test sequences are derived from the Federal Motor Vehicle Safety Standard 105 (and 121 for optional sections) as single-ended inertia-dynamometer test procedures when using the appropriate brake hardware and test parameters. This recommended practice provides Original Equipment Manufacturers (OEMs), brake and component manufacturers, and aftermarket suppliers with results related to
Truck and Bus Hydraulic Brake Committee
This SAE AIR covers Forced Air technology including: reference material, equipment, safety, operation, and methodology. It is intended to provide pressure and temperature (temps pages 26 & 31) information and minimum safety guidelines regarding use of equipment to remove frozen contaminants related to: i) Forced air ii) Forced air/fluid iii) Deicing fluid
G-12M Methods Committee
This study develops deep learning (DL) long–short-term memory (LSTM) models to predict tailpipe nitrogen oxides (NOx) emissions using real-driving on-road data from a heavy-duty Class 8 truck. The dataset comprises over 4 million data points collected across 11,000 km of driving under diverse road, weather, and load conditions. The effects of dataset size, model complexity, and input feature set on model performance are investigated, with the largest training dataset containing around 3.5 million data points and the most complex model consisting of over 0.5 million parameters. Results show that a large and diverse training dataset is essential for achieving accurate prediction of both instantaneous and cumulative NOx emissions. Increasing model complexity only enhances model performance to a certain extent, depending on the size of the training dataset. The best-performing model developed in this study achieves an R2 higher than 0.9 for instantaneous NOx emissions and less than a 2
Shahpouri, SaeidJiang, LuoKoch, Charles RobertShahbakhti, Mahdi
This SAE Standard defines the method for deriving and verifying the peening intensity exerted onto a part surface during shot peening or other surface enhancement processes.
Surface Enhancement Committee
This SAE Standard covers cold drawn and annealed seamless low-carbon steel pressure tubing intended for use as hydraulic lines and in other applications requiring tubing of a quality suitable for flaring and bending. In an effort to standardize within a global marketplace and ensuring that companies can remain competitive in an international market it is the intent to convert to metric tube sizes which will: Lead to one global system Guide users to preferred system Reduce complexity Eliminate inventory duplications
Metallic Tubing Committee
In the future battlefield, logistics UAVs will play an increasingly important role. The development of logistics UAVs abroad is rapid. Sort out the current development status of logistics UAVs in countries such as the United States, Russia, Israel, and Ukraine, including mission tasks, functional characteristics, and main performance indicators. In addition, the future technological trends of logistics UAVs are studied and predicted. Firstly, diversification of functions, which logistics UAVs will achieve diversified functions in the future, such as material transportation, aerial refueling, unmanned mother aircraft, and transfer of wounded personnel; Secondly, intelligent commendation and control, which logistics UAVs pursue the optimal efficiency in the four steps of ordering, dispatching, delivering, and evaluating in the “food delivery” mode; Finally, resource collaboration. In the collaborative logistics mode of “free riding”, logistics UAVs over a wide area are interconnected
Zhai, JundaLiu, DaweiBai, QiangqiangHua, JinxingWang, XiaoyueYang, JianZou, XiaoyingGao, Yuxuan
With the rapid development of metro network operation, metro passenger flow congestion propagation occurs frequently. Accurately modeling passenger flow congestion propagation is crucial for alleviating metro passenger flow congestion and formulating corresponding control strategies. Traditional modeling methods struggle to effectively capture the complex spatiotemporal dependency relationships in metro networks. To improve the accuracy of congestion propagation modeling, this paper proposes a Dynamic Spatiotemporal Graph Convolutional Network (DSTGCN). The model integrates node attributes and temporal encoding through a dynamic adjacency matrix generation module, uses multi-head attention mechanisms to adaptively learn the time-varying propagation intensity between nodes, and combines static topology to construct dynamic adjacency matrices. A multi-scale spatiotemporal feature extraction module is designed, employing temporal convolution and spatial attention mechanisms to mine
Chen, BeijiaWang, JunhangShao, Jiayu
In order to understand the changes of freeway traffic flow risk,drone videos was used to obtain vehicles trajectories on the freeway, analyzing the spatio-temporal interactions between vehicles, the propagation patterns of traffic conflicts, and the pattern of risk changes. Classify traffic flow states based on three-phase traffic theory. Starting from the frequency and severity of conflicts, the risk characteristics under different traffic flow states was investigated. The fuzzy C-means clustering algorithm was used to determine the risk level. Results indicate that the vehicles in the first lane on the left were more sensitive to the speed changes of the leading vehicles. The deceleration wave is highly consistent with the propagation path of traffic conflicts. When the backward propagation of deceleration waves, the collision risk also propagates backward simultaneously. In the process of transitioning from free flow to synchronized flow, high-risk state accounts for the highest
Ma, XiaolongLiu, JianbeiSun, ZhuWang, Jing
Objective:Methods:Results:Conclusion:
Sun, KeWan, QianLiu, QianqianLi, Qiuling
In the development of virtual prototyping for rail vehicles, industrial design plays a bridging role between art and engineering. In the present industrial design process, on account of problems such as too many types of software were used and difficulties in model conversion, the research proposes a collaborative design method for industrial design based on the 3DE platform, aiming to establish a unified “3D data mainline” to achieve continuous development of industrial design and engineering design. Taking a certain urban rail vehicle as an example, the industrial design procedure is analyzed, including demand input, rapid modeling, real-time rendering, curve modeling, etc. It is hoped that this method can reduce development costs, shorten the time cycle, and improve work efficiency in the development process of virtual prototyping for rail vehicles.
Ji, XiranHuang, ShuoWang, ChuweiSun, Bowen
min
Wang, JieYang, YueChen, XinCui, Jiaxing