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Training / Education

AS9100D Internal Auditor Training

2024-10-28
Internal audits are a requirement of the AS9100, AS 13100 and RM 13005 and are intended to verify the compliance and effectiveness of an organization's quality management system. The methods and techniques for performing internal audits have significantly changed in the aviation, space and defense industries, and internal auditors must be knowledgeable of these requirements and the expectations as identified in the standard.
Training / Education

Vehicle Crash Reconstruction Principles and Technology

2024-09-17
Crash reconstruction is a scientific process that utilizes principles of physics and empirical data to analyze the physical, electronic, video, audio, and testimonial evidence from a crash to determine how and why the crash occurred. This course will introduce this reconstruction process as it gets applied to various crash types - in-line and intersection collisions, pedestrian collisions, motorcycle crashes, rollover crashes, and heavy truck crashes. Methods of evidence documentation will be covered. Analysis methods will also be presented for electronic data from event data recorders and for video.
Technical Paper

Set-up of an in-car system for investigating driving style on the basis of the 3D-method

2024-07-02
2024-01-3001
Investigating human driver behavior enhances the acceptance of the autonomous driving and increases road safety in heterogeneous environments with human-operated and autonomous vehicles. The previously established driver fingerprint model, focuses on the classification of driving style based on CAN bus signals. However, driving styles are inherently complex and influenced by multiple factors, including changing driving environments and driver states. To comprehensively create a driver profile, an in-car measurement system based on the Driver-Driven vehicle-Driving environment (3D) framework is developed. The measurement system records emotional and physiological signals from the driver, including ECG signal and heart rate. A Raspberry Pi camera is utilized on the dashboard to capture the driver's facial expressions and a trained convolutional neural network (CNN) recognizes emotion. To conduct unobtrusive ECG measurements, an ECG sensor is integrated into the steering wheel.

Evolving to MedDev 2022

2024-04-29
Evolving to MedDev provides a new opportunity for executives in aerospace, automotive and medical devices companies to connect and develop long-term growth strategies and find ways to meet the increased short-term demand for medical supplies

Sponsor - Evolving to MedDev 2022

2024-04-29
Evolving to MedDev provides a new opportunity for executives in aerospace, automotive and medical devices companies to connect and develop long-term growth strategies and find ways to meet the increased short-term demand for medical supplies

SAE International

2024-04-29
Evolving to MedDev provides a new opportunity for executives in aerospace, automotive and medical devices companies to connect and develop long-term growth strategies and find ways to meet the increased short-term demand for medical supplies

Evolving to MedDev 2022

2024-04-29
Evolving to MedDev provides a new opportunity for executives in aerospace, automotive and medical devices companies to connect and develop long-term growth strategies and find ways to meet the increased short-term demand for medical supplies
Event

Exhibit/Sponsor - Evolving to MedDev 2021

2024-04-29
Evolving to MedDev provides a new opportunity for executives in aerospace, automotive and medical devices companies to connect and develop long-term growth strategies and find ways to meet the increased short-term demand for medical supplies

Why Attend - Evolving to MedDev 2022

2024-04-29
Evolving to MedDev provides a new opportunity for executives in aerospace, automotive and medical devices companies to connect and develop long-term growth strategies and find ways to meet the increased short-term demand for medical supplies
Event

Program - Evolving to MedDev 2021

2024-04-29
Evolving to MedDev provides a new opportunity for executives in aerospace, automotive and medical devices companies to connect and develop long-term growth strategies and find ways to meet the increased short-term demand for medical supplies
Standard

Aluminum Alloy, Extruded Profiles (2395-T84), 3.95Cu - 1.15Li - 0.3Ag - 0.5Mg - 0.1Zr, Solution Heat Treated, Stress Relieved by Stretching, and Aged

2024-04-25
CURRENT
AMS4359A
This specification covers an aluminum alloy in the form of extruded rods, bars, and profiles (shapes) 0.040 to 1.500 inches (1.02 to 38.10 mm), inclusive, in thickness, and produced with maximum cross-sectional area of 23.25 square inches (15000 mm2) and a maximum circumscribing circle diameter (circle size) of 15.5 inches (394 mm) (see 2.4.1 and 8.6).
Standard

Titanium Alloy Bars, Forgings, and Flash-Welded Rings, 5Al - 2.5V - 4Sn - 1Co - 0.8Fe Annealed

2024-04-25
CURRENT
AMS6903
This specification covers a titanium alloy in the form of bars, forgings, and flash-welded rings up through 12.000 inches (304.80 mm), inclusive, in diameter or least distance between parallel sides, and stock of any size for forging or flash-welded rings. Bars, forgings, and flash-welded rings with a nominal thickness of 3.000 inches (79.20 mm) or greater shall have a maximum cross-sectional area of 113 square inches (729 cm2) (see 8.5).
Standard

Titanium Alloy Bars, Forgings and Forging Stock, 6.0Al - 6.0V - 2.0Sn, Solution Heat Treated and Aged

2024-04-25
CURRENT
AMS6935D
This specification covers a titanium alloy in the form of bars up through 4.000 inches (101.60 mm) in nominal diameter or least distance between parallel sides, inclusive, forgings of thickness up through 4.000 inches (101.60 mm), inclusive, with bars and forgings having a maximum cross-sectional area of 32 square inches (204.46 cm2), and stock for forging of any size (see 8.6).
Journal Article

Post-Treatment and Hybrid Techniques for Prolonging the Service Life of Fused Deposition Modeling Printed Automotive Parts: A Wear Strength Perspective

2024-04-24
Abstract This study aims to explore the wear characteristics of fused deposition modeling (FDM) printed automotive parts and techniques to improve wear performance. The surface roughness of the parts printed from this widely used additive manufacturing technology requires more attention to reduce surface roughness further and subsequently the mechanical strength of the printed geometries. The main aspect of this study is to examine the effect of process parameters and annealing on the surface roughness and the wear rate of FDM printed acrylonitrile butadiene styrene (ABS) parts to diminish the issue mentioned above. American Society for Testing and Materials (ASTM) G99 specified test specimens were fabricated for the investigations. The parameters considered in this study were nozzle temperature, infill density, printing velocity, and top/bottom pattern.
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