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Developing a Custom Data Acquisition Software Package for a Self-contained Acoustic Test Facility

Kolano and Saha Engineers, Inc.-Richard Kolano, Sagar Patil, Pranab Saha
Published 2019-06-05 by SAE International in United States
This paper provides an overview of a custom software developed to obtain measurement data in a self-contained acoustic test facility system used for conducting random incidence sound absorption tests and sound transmission loss tests on small samples in accordance with SAE J2883 and J1400 standards, respectively. Special features have been incorporated in the software for the user to identify anomalies due to extraneous noise intrusion and thereby to obtain good data. The paper discusses the thoughts behind developing user-friendly algorithms and graphical user interfaces (GUI) for the sound generation, control, data acquisition, signal processing, and identifying anomalies.
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The Utilization of Onboard Sensor Measurements for Estimating Driveline Damping

Michigan Technological University-Jon Furlich, Jason Blough, Darrell Robinette
Published 2019-06-05 by SAE International in United States
The proliferation of small silicon micro-chips has led to a large assortment of low-cost transducers for data acquisition. Production vehicles on average exploit more than 60 on board sensors, and that number is projected to increase beyond 200 per vehicle by 2020. Such a large increase in sensors is leading the fourth industrial revolution of connectivity and autonomy. One major downfall to installing many sensors is compromises in their accuracy and processing power due to cost limitations for high volume production. The same common errors in data acquisition such as sampling, quantization, and multiplexing on the CAN bus must be accounted for when utilizing an entire array of vehicle sensors. A huge advantage of onboard sensors is the ability to calculate vehicle parameters during a daily drive cycle to update ECU calibration factors in real time. One such parameter is driveline damping, which changes with gear state and drive mode. A damping value is desired for every gear state. Recent years have seen an increasing number of forward gear ratios, from 8-10 in production vehicles.…
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Eyes in the Sky

Aerospace & Defense Technology: June 2019

  • Magazine Article
  • 19AERP06_01
Published 2019-06-01 by SAE International in United States

Rugged High-Speed Cameras Capture Critical Flight Test Video Data

There is increasing demand for high-quality High Definition (HD) video for airborne applications such as Flight Test Instrumentation (FTI). Ideally, such new camera solutions can reduce the weight and difficultly of installing wiring, and enable data to be coherently combined with image data. Ethernet cameras can address these needs with built-in compression and multiple output streams. Additionally, as Ethernet-based networks have become an attractive choice for FTI applications, we see increased requirements for integrating Ethernet-based cameras with FTI data acquisition equipment, network recorders, and telemetry systems as this removes duplication of wiring and devices.

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Prediction and Control of Response Time of the Semitrailer Air Braking System

SAE International Journal of Commercial Vehicles

Jiangsu University, China-Ren He, Chang Xu
  • Journal Article
  • 02-12-02-0011
Published 2019-05-09 by SAE International in United States
The response time of the air braking system is the main parameter affecting the longitudinal braking distance of vehicles. In this article, in order to predict and control the response time of the braking system of semitrailers, an AMESim model of the semitrailer braking system involving the relay emergency valve (REV) and chambers was established on the basis of analyzing systematically the working characteristics of the braking system in different braking stages: feedback braking, relay braking, and emergency braking. A semitrailer braking test bench including the brake test circuit and data acquisition system was built to verify the model with typical maneuver. For further evaluating the semitrailer braking response time, an experiment under different control pressures was carried out. Experimental results revealed the necessity of controlling the response time. As a result, a braking pressure compensation system was designed through adding intake and exhaust solenoid valves to the original braking system. A proportional-integral-derivative (PID) control strategy optimized by genetic algorithm (GA) was adopted to generate pulse width modulation (PWM) signals applied to the solenoid valves…
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Monitoring a Nearshore Beneficial Use Site: Application of a Benthic Sled and Video Annotation

Aerospace & Defense Technology: May 2019

  • Magazine Article
  • 19AERP05_07
Published 2019-05-01 by SAE International in United States

Passive survey method provides less labor and resource intensive system for monitoring the effects of dredging on aquatic life in nearshore beneficial use sites.

The U.S. Army Corps of Engineers (USACE) Portland Districts (NWP) maintains safe and navigable waterways in Oregon through a variety of dredging projects, including channel deepening, and dredging sandbars. Placement of dredged sediment occurs at preselected, specific geographic areas categorized as nearshore beneficial use sites. Beneficial use sites are commonly monitored before, during, and after disposal, to evaluate dredge management practices and to avoid potentially adverse effects to the marine environment.

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Research on Dynamic Load of Belgian Event Based on Virtual Proving Ground

CATARC-Jiansen Yang, Xinyu Wang, Xin Li
Published 2019-04-02 by SAE International in United States
The fatigue load spectrum of the physical proving ground is the necessary input for fatigue life analysis of vehicle parts and components. It is usually obtained by Road Load Data Acquisition (RLDA) and loads decomposition using multi-body dynamics tools. Virtual Proving Ground (VPG) methodology is gradually replacing this technical strategy. The belgian road is the typical event in durability test, in this paper, the flexible body and FTire model are applied to the vehicle multi-body dynamics model in order to improve the simulation accuracy. The result shows that all the wheel center force, shock absorber displacement and axial force acquired by VPG simulation have excellent correlation with real vehicle measured data. It is also proved that the virtual proving ground technology is a reliable and effective method to obtain the fatigue load spectrum in the early stage of development.
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Passenger Vehicle Dynamic Response and Characterization of Side Structure during Low- to Moderate-Speed Side Impacts

Exponent Inc.-Jason Skiera, Charles Crosby, Cleve Bare, Marc Paradiso, Gregory Campbell
Published 2019-04-02 by SAE International in United States
A significant portion of real-world passenger vehicle side impacts occur at lower speeds than testing conducted by the National Highway Traffic Safety Administration (NHTSA) or the Insurance Institute for Highway Safety (IIHS). Test data from low- to moderate-speed side impacts involving late-model passenger vehicles is limited, making the evaluation of vehicle impact response, occupant loading, and injury potential challenging. This study provides the results of low- to moderate-speed impact testing involving a late-model mid-size sedan. Two full-scale Non-Deformable Moving Barrier (NDMB) side impact crash tests were conducted at speeds of 6.2 mph (10.0 kph) and 13.4 mph (21.6 kph). Instrumentation on the late-model sedan used for the test series included tri-axis accelerometers and seat belt load cells. In both tests, instrumented Hybrid III 50th percentile-male Anthropomorphic Test Devices (ATDs) were restrained in the driver and passenger seats using the standard three-point seat belts. Response data for the vehicle, barrier, and ATDs was recorded using onboard data acquisition, and on- and off-board real-time and high-speed video cameras. In addition, the deformation to the side of the…
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Experimental Setup Enabling Self-Confrontation Interviews for Modelling Naturalistic Driving Behavior

Aptiv Services Poland S.A.-Dariusz Cieslar, Dominik Sasin, Grzegorz Wyszynski
IBM Research - Haifa-Lior Limonad, Valentin Dashinsky
Published 2019-04-02 by SAE International in United States
Behavioral models of traffic actors have a potential of unlocking sophisticated safety features and mitigating several challenges of urban automated driving. Intuitively, volunteers driving on routes of daily commuting in their private vehicles are the preferred source of information to be captured by data collection system. Such dataset can then serve as a basis for identifying efficient methods of context representation and parameterization of behavioral models. This paper describes the experimental setup supporting the development of driver behavioral models within the SIMUSAFE project. In particular, the paper presents an IoT data acquisition and analysis infrastructure supporting self-confrontation interviews with drivers. The proposed retrofit system was installed in private vehicles of volunteers in two European cities. Wherever possible, the setup used open source software and electronic components available on consumer market. Collected data about traffic context and driver behavior were automatically uploaded to cloud storage for immediate analysis by traffic psychologists and support of self-confrontation interviews. The timely availability of data for analysis and a very limited impact of the system on driver behavior are the…
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Training of Neural Networks with Automated Labeling of Simulated Sensor Data

Center for Advanced Vehicular Systems-Chris Goodin, Suvash Sharma, Matthew Doude, Daniel Carruth, Lalitha Dabbiru, Christopher Hudson
Published 2019-04-02 by SAE International in United States
While convolutional neural networks (CNNs) have revolutionized ground-vehicle autonomy in the last decade, this class of algorithms requires large, truth-labeled data sets to be trained. The process of collecting and labeling training data is tedious, time-consuming, expensive, and error-prone. In order to automate this process, an automated method for training CNNs with simulated data was developed. This method utilizes physics-based simulation of sensors, along with automated truth labeling, to improve the speed and accuracy of training data acquisition for both camera and LIDAR sensors. This framework is enabled by the MSU Autonomous Vehicle Simulator (MAVS), a physics-based sensor simulator for ground vehicle robotics that includes high-fidelity simulations of LIDAR, cameras, and other sensors.
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Passenger Vehicle Response and Damage Characteristics of Front and Rear Structures during Low- to Moderate-Speed Impacts

Exponent Inc.-Charles Crosby, Jason Skiera, Cleve Bare, Steven Como, Eric McDowell
Published 2019-04-02 by SAE International in United States
A significant number of vehicle-to-vehicle collisions involve front-to-rear impacts at low- to moderate-speeds. While a variety of studies have been conducted since the 1990s involving fore-aft collisions, those discussing the response of late model passenger vehicles during progressively more severe impacts are limited. In this study, four inline, front-rear tests were conducted using two midsize sedans of the same make, model, and year. An instrumented Hybrid III 50th percentile-male Anthropomorphic Test Device (ATD) was located in the driver seat of each sedan and was restrained using the standard three-point seat belt system. Instrumentation on the vehicles included tri-axis accelerometers and seat belt load cells.For each test, the centerlines of the vehicles were aligned, and the striking vehicle impacted the stationary target vehicle at closing speeds of 4.6, 7.9, 13.5, and 20.9 mph (7.4, 12.7, 21.7, and 33.6 kph). The front and rear bumper covers were removed to allow the response of the bumper systems to be observed during the impact. Vehicle and ATD data were recorded using on-board data acquisition while on- and off-board real-time…
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