Your Selections

Military aircraft
Show Only

Collections

File Formats

Content Types

Dates

Sectors

Topics

Authors

Publishers

Affiliations

Committees

Events

Magazine

   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

Paint System, Fluorescent, Removable, for Aircraft Application

AMS G8 Aerospace Organic Coatings Committee
  • Aerospace Material Specification
  • AMSP21600B
  • Current
Published 2019-10-28 by SAE International in United States
This specification establishes the requirements for a high visibility, durable, exterior fluorescent coating system consisting of a pigmented fluorescent coating with a clear protective overcoat containing a weathering stabilizer. This coating system is capable of being removed without softening the permanent undercoats.
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Minimum Operational and Maintenance Responsibilities for Aircraft Tire Usage

A-5C Aircraft Tires Committee
  • Aerospace Standard
  • ARP5265B
  • Current
Published 2019-10-17 by SAE International in United States
This SAE Aerospace Recommended Practice (ARP) sets forth criteria for the installation, inflation, inspection, and maintenance of aircraft tires as well as criteria for the maintenance of the operating environment so as to achieve the purpose stated in 1.1. (Definitions of terms related to aircraft tires are found in 2.2.)
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

In-Service Reliability Data of Continuously Active Ball Screw and Geared Flight Control Actuation Systems

A-6B3 Electro-Mechanical Actuation Committee
  • Aerospace Standard
  • AIR5713A
  • Current
Published 2019-10-14 by SAE International in United States
This Aerospace Information Report (AIR) has been written to provide in-service reliability data of continuously active ball screw and geared flight control actuation systems.
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Method for Predicting Lateral Attenuation of Airplane Noise

A-21 Aircraft Noise Measurement Aviation Emission Modeling
  • Aerospace Standard
  • AIR5662
  • Current
Published 2019-10-04 by SAE International in United States
This document describes analytical methods for calculating the attenuation of the level of the sound propagating from an airplane to locations on the ground and to the side of the flight path of an airplane during ground roll, climbout after liftoff, and landing operations. Both level and non-level ground scenarios may be modeled using these methods, however application is only directly applicable to terrain without significant undulations, which may cause multiple reflections and/or multiple shielding effects. This attenuation is termed lateral attenuation and is in excess of the attenuation from wave divergence and atmospheric absorption. The methods for calculating the lateral attenuation of the sound apply to: turbofan-powered transport-category airplanes with engines mounted at the rear of the fuselage (on the sides of the fuselage or in the center of the fuselage as well as on the sides) or under the wings propeller-driven transport-category or general-aviation airplanes propagation over ground surfaces that may be considered to be “acoustically soft” such as lawn or field grass situations where the terrain to the sides of the flight…
This content contains downloadable datasets
Annotation ability available

Drone Control System

  • Magazine Article
  • TBMG-35357
Published 2019-10-01 by Tech Briefs Media Group in United States

Kongsberg Geospatial Ottawa, Ontario, Canada 1-800-267-7330

Artificial Intelligence and Autonomous Vehicles

  • Magazine Article
  • TBMG-35360
Published 2019-10-01 by Tech Briefs Media Group in United States

The use of artificial intelligence (AI) based machine learning technologies in autonomous vehicles is on the rise. Helping to drive this trend is the availability of a new class of embedded AI processors. A good example is NVIDIA’s Jetson family, which includes small form factor system on modules (SoMs) that provide GPU-accelerated parallel processing. These high-performance, low-power devices are designed to support the deep learning and computer vision capabilities needed to build software-defined autonomous machines. They derive massive computing capabilities from the use of a parallel processing GPU device with many cores, enabling next-gen computing devices to take on many of the tasks that were historically handled by humans or multiple, traditional computers.

Influence of Leading-Edge Oscillatory Blowing on Time-Accurate Dynamic Store Separation

  • Magazine Article
  • TBMG-35362
Published 2019-10-01 by Tech Briefs Media Group in United States

Increasing the operational efficiency of weapons employed in hostile environments is a high priority of the United States Air Force (USAF). In recent history, the USAF has made a move to smaller and internally stored weapons, especially for fighter aircraft. Maintaining a low radar cross section signature, and thus a low observable air vehicle, is desirable so the aircraft is less detectable by the enemy.

   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Influence of Leading-Edge Oscillatory Blowing on Time-Accurate Dynamic Store Separation

Aerospace & Defense Technology: October 2019

  • Magazine Article
  • 19AERP10_07
Published 2019-10-01 by SAE International in United States

Developing an understanding of, and potentially controlling, pitch bifurcation of a store release from an aircraft during flight could improve weapons delivery.

Increasing the operational efficiency of weapons employed in hostile environments is a high priority of the United States Air Force (USAF). In recent history, the USAF has made a move to smaller and internally stored weapons, especially for fighter aircraft. Maintaining a low radar cross section signature, and thus a low observable air vehicle, is desirable so the aircraft is less detectable by the enemy.

Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Aerospace & Defense Technology: October 2019

  • Magazine Issue
  • 19AERP10
Published 2019-09-26 by SAE International in United States
Artificial Intelligence and Autonomous VehiclesA "STEP" Forward for Product Lifecycle ManagementThe Challenge of Replacing Hard ChromeDefining an Open System Architecture Standard for Defense SystemsSolid-State Microwave Power ModuleDefeating Commercial Drone Threats with Open-Source SDRInfluence of Leading-Edge Oscillatory Blowing on Time-Accurate Dynamic Store Separation Developing an understanding of, and potentially controlling, pitch bifurcation of a store release from an aircraft during flight could improve weapons delivery.Green's Function Extraction from Atmospheric Acoustic Propagation Understanding what affects acoustic waves propagating in the atmosphere is important for a variety of military applications including the development of new remote sensing techniques.Waveform Synthesis for Shock Response Spectrum Replication, Applied to Ground Vehicle Component Testing Improved test methods will help alleviate the impact of shock levels on military and commercial ground vehicle components.SnowMicroPenetrometer Applications for Winter Vehicle Mobility Characterizing the mechanical properties of snow and their impact on vehicle performance could improve vehicle winter mobility modeling.Engineered Resilient Systems A new application called TradeAnalyzer provides multiple visualization methods to examine, sort, and filter the attributes of data.
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

SAE Aerospace Applied Thermodynamics Manual Aerothermodynamic Systems Engineering and Design

AC-9 Aircraft Environmental Systems Committee
  • Aerospace Standard
  • AIR1168/3A
  • Current
Published 2019-09-24 by SAE International in United States
This section presents methods and examples of computing the steady-state heating and cooling loads of aircraft compartments. In a steady-state process the flows of heat throughout the system are stabilized and thus do not change with time. In an aircraft compartment, several elements compose the steady-state air conditioning load. Transfer of heat occurs between these sources and sinks by the combined processes of convection, radiation, and conduction in the following manner: 1 Convection between the boundary layer and the outer airplane skin. 2 Radiation between the external skin and the external environment. 3 Solar radiation through transparent areas directly on flight personnel and equipment and on the cabin interior surfaces. 4 Conduction through the cabin walls and structural members. 5 Convection between the interior cabin surface and the cabin air. 6 Convection between cabin air and flight personnel or equipment. 7 Convection and radiation from internal sources of heat such as electrical equipment. The subsequent paragraphs discuss methods of determining each of the heat transfer rates listed above, as well as the physiological considerations involved…
This content contains downloadable datasets
Annotation ability available