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Loss of power in Military vehicles by using JP-8 instead of ULSD

Wayne State University-Prasad D. Raut, Omkar A. Atre, Manan Trivedi, Naeim Henein
  • Technical Paper
  • 2020-01-0804
To be published on 2020-04-14 by SAE International in United States
The Department of Defense (DOD) has adopted to use JP-8 under the “single battlefield fuel” policy. Fuel properties of JP-8 which are different from ULSD include Cetane number, density, heating value and bulk modulus. This paper determines which of these properties cause the loss in power and suggest some strategies to regain the power lost while operating on JP-8 instead of ULSD.
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Design Optimization of Sandwich Composite Armors for Blast Mitigation using Bayesian Optimization with Single and Multi-fidelity Data

Indiana Univ. Purdue Univ. Indianapolis-Andres Tovar
Purdue University-Homero Valladares
  • Technical Paper
  • 2020-01-0170
To be published on 2020-04-14 by SAE International in United States
The most common and lethal weapon against military vehicles is the improvised explosive device (IED). In an explosion, large cabin’s penetrations injure the lower body, and high accelerations harm the spine. Critical penetrations and accelerations can cause the death of the vehicle’s occupants. In the military industry, there is an increasing interest to improve the blastworthiness of their vehicles. This investigation presents a multi-fidelity Bayesian optimization (BO) approach to design sandwich composite armors for blast mitigation. BO is an efficient methodology to solve optimization problems that involve black-box functions. The black-box functions of this work are the responses of the finite element (FE) simulations of the composite armor. The main two components of BO are the surrogate model of the black-box function and the acquisition function that guides the searching process. In this investigation, the surrogate models are Gaussian Process (GP) regressions and the acquisition function is the multi-objective expected improvement (MEI) function. Information from low and high fidelity FE models trains the GP surrogates. The low fidelity FE model assumes elastic behavior of the…
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A Virtual Driveline Concept to Maximize Mobility Performance of Autonomous Electric Vehicles

Alion Science & Technology-Michael Letherwood
U.S. Army Ground Vehicle Systems Center-David Gorsich
  • Technical Paper
  • 2020-01-0746
To be published on 2020-04-14 by SAE International in United States
In-wheel electric motors open up new technical prospects to radically enhance mobility performance of autonomous electric vehicles with four or more driving wheels. The flexibility and agility of the e-motor torque delivered individually to each wheel creates conditions for significant improvements of mobility, providing agile maneuvers while maintaining stability, and increasing energy efficiency of vehicles. However, the driving of individual wheels, when the wheels are not connected mechanically by a driveline system, does not mean that the e-motor drives are independent from each other and do not impact each other’s actions. Indeed, loaded with individually supplied different torques, the wheels will be loaded with different longitudinal forces that act from the vehicle frame to the wheel axis and, thus, the tires will generate different traction forces in the patches with terrain and develop different tire slippages. Thus, the absence of driveline systems, which physically connect the wheels and control the wheel torque split in vehicles with mechanical powertrains, requires conceptually new approaches to coordinate the torque distribution to the driving wheels in electric vehicles. With…
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Design Treatment for Advanced Metals Enables Easier Machining

  • Magazine Article
  • TBMG-35802
Published 2020-01-01 by Tech Briefs Media Group in United States

Exotic and advanced metals are used in aircraft, orthopedic components, medical instruments, cars, solar panels, military equipment, and other applications. They are referred to as advanced or exotic because they are more difficult to find and more costly to use in manufacturing.

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Heavy Dump Truck

  • Magazine Article
  • TBMG-35675
Published 2019-12-01 by Tech Briefs Media Group in United States

Mack Defense Allentown, PA 1 (800) 866-1177

Tank Destroyer Vehicle

  • Magazine Article
  • TBMG-35678
Published 2019-12-01 by Tech Briefs Media Group in United States

MBDA Missile Systems Hertfordshire, UK +44 (0)1438 752000

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Design, Synthesis and Analysis of Loader Bucket, Boom and Linkages for Amphibious Infantry Combat Vehicle

Independent Researcher-Abhijit Kulkarni
Konecranes-Akhilesh Kulkarni
Published 2019-10-11 by SAE International in United States
Currently, for various military activities such as construction of bridges, digging trenches, construction of roads and clearing the area during landslides, separate unit of bulldozer for dozing operation and loader for loading operation is required. But the need is to develop a single unit which could perform both of these operations efficiently and simultaneously. The paper discusses about the development of dozer bucket mechanism as a single unit to perform dozing and loading operation and connected to the amphibious infantry combat vehicle. To develop the dozer bucket mechanism synthesis of mechanism (Linkages and Boom) has carried out and care has taken to fulfill the above stated functional requirement and satisfy the geometrical constraints. The synthesis of mechanism is done with the help of ‘CATIA’ software packages. The force calculation on various joints at the different position of mechanism has evaluated with the help of ’ADAMS’ software. The finite element analysis has done using software ’ANSYS’. The developed mechanism combines the dozing and loading operation and connected to the tracked vehicle.
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SnowMicroPenetrometer Applications for Winter Vehicle Mobility

  • Magazine Article
  • TBMG-35361
Published 2019-10-01 by Tech Briefs Media Group in United States

The U.S. Engineer Research and Development Center (ERDC) Military Engineering Program on Remote Assessment of Infrastructure for Ensured Maneuver (RAFTER) Boreal Aspects of Ensured Maneuver (BAEM) identifies the need for modeling over-snow vehicle performance, as many factors related to vehicle setup and land surface condition contribute to vehicle efficiency. Accurately estimating snow macromechanical characteristics—such as elastic modulus, stiffness, and strength—is critical for understanding how effectively a vehicle will travel over snow-covered terrain.

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Defeating Commercial Drone Threats with Open-Source SDR

Aerospace & Defense Technology: October 2019

  • Magazine Article
  • 19AERP10_06
Published 2019-10-01 by SAE International in United States

With the emergence of highly capable, low-cost, wirelessly controlled drones, bad actors can easily execute disruptive operations. Such incidents have created a need for drone defense systems that rapidly evolve with ever-increasing threat frequency and sophistication.

It's nearly impossible to look at technology news without seeing an article about drones. Whether detailing how Amazon wants to use drones to deliver packages or revealing amazing aerial video of drones following Olympic snowboarders, commercial drones are ubiquitous. Drone emergence has benefited many applications including sports broadcasting and wildlife preservation wilderness surveys. Offering powerful, intelligent software, drones are becoming less expensive and easier to use, with substantial operating range.

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SnowMicroPenetrometer Applications for Winter Vehicle Mobility

Aerospace & Defense Technology: October 2019

  • Magazine Article
  • 19AERP10_10
Published 2019-10-01 by SAE International in United States

Characterizing the mechanical properties of snow and their impact on vehicle performance could improve vehicle winter mobility modeling.

The U.S. Engineer Research and Development Center (ERDC) Military Engineering Program on Remote Assessment of Infrastructure for Ensured Maneuver (RAFTER) Boreal Aspects of Ensured Maneuver (BAEM) identifies the need for modeling over-snow vehicle performance, as many factors related to vehicle setup and land surface condition contribute to vehicle efficiency. Accurately estimating snow macromechanical characteristics-such as elastic modulus, stiffness, and strength-is critical for understanding how effectively a vehicle will travel over snow-covered terrain.

Annotation ability available