Browse Topic: Exterior noise

Items (79,275)

Analysis Techniques for Racecar Data Acquisition [mms update 07.03.25]

R-367To be published on 03/22/2099

Data acquisition has become an invaluable tool for establishing racecar - and car/driver - performance. Now that the ability exists to analyze each and every performance parameter for car and driver, accurate use of this data can provide a key advantage on the racetrack. This book provides a thorough overview of the varied methods for analyzing racecar data acquisition system outputs, with a focus on vehicle dynamics.

Segers, Jorge

Acoustic Assessment in a Small Displacement Diesel Engine

2014-32-01291/30/2026

In the last years, the increasing concern for the environmental issues of IC engines has promoted the development of new strategies capable of reducing both pollutant emissions in atmosphere and noise radiation. Engines can produce different types of noise: 1) aerodynamic noise due to intake and exhaust systems and 2) surface radiated noise. Identification and analysis of noise sources are essential to evaluate the individual contribution (injection, combustion, piston slap, turbocharger, oil pump, valves) to the overall noise with the aim of selecting appropriate control strategies. Previous paper focused on the combustion related noise emission. The research activity aimed at diagnosing and controlling the combustion process via acoustic measurements. The optimal placement of the microphone was selected, where the signal was strongly correlated to the in-cylinder pressure development during the combustion process. Analysis and processing of the sound emission allowed the acoustic contribution of the combustion event to be isolated. Some indices capable of relating the combustion noise radiation back to the combustion development were defined. This paper presents an experimental activity devoted to analyze the entire noise generation process of a small displacement diesel engine. The purpose was to identify the contribution of the different sources (mechanical, combustion, fluid dynamic) to the overall emission. The methodology here proposed analyze the specific signature in the frequency domain of each source. The final objective was to use the microphone signal acquired in a proper selected location, to obtain indications about the effective strategies to achieve noise reduction. The repetitiveness of the measurements was guaranteed by a network encircling the engine. Microphones were placed in different positions and tests were performed in the complete engine operative field. In the paper, the experimental set-up is described, the methodology is presented. Results are then shown and discussed.

Chiatti, Giancarlo, Recco, Erasmo, Chiavola, Ornella, Conforto, Silvia

Methods to Mitigate Tail Pipe Noise in Passenger Vehicles

2018-01-12801/30/2026

The cold end of an exhaust system plays an important role in today’s passenger cars by reducing the engine noise and thus keeping a pleasant cabin room for optimum passenger comfort. However, due to vehicle layout constraints, it may be difficult to achieve a Muffler design which fulfills the required noise attenuation requirement. It becomes imperative to have an understanding of the different parameters that affect the overall tail pipe noise. In an automobile exhaust system, Exhaust Mufflers play a major role in noise reduction by helping in the attenuation of undesirable noises from the engine. The overall content of the tail pipe noise of an IC engine can be segregated into two categories - Order noise and Flow noise. Order noises are low frequency pressure pulses generated during the exhaust valve opening and closing in the engine combustion cycle. Flow noises are high frequency noises which are generated due to the flow of the exhaust gas and primarily depends on gas velocity, temperature and flow path. Hence for good Muffler performance, it is necessary to understand the various parameters that have an impact on both these components of the overall noise. This paper analyses various parameters which influence the order noise and flow noise characteristics for an Exhaust Muffler design. Based on 1D flow simulation and actual test measurements of Tail pipe noise in a vehicle with a 1L NA petrol engine, the effects of the different parameters on Tail pipe order noise and flow noise have been studied. The results show the importance of the size of a muffler and its position in the Exhaust line in determining the level of the overall noise at the end of the tail pipe. In cases where a favorable position and size for an Exhaust muffler is not practical, other measures such as usage of absorptive material to attenuate high frequency noise can help in reducing the overall content of the tail pipe noise.

Vineeth, S., Chauhan, Vikram, Nanda, Aditya

Measurement of Exterior Noise Produced by Aircraft Auxiliary Power Units (APUs) and Associated Aircraft Systems During Ground Operation

ARP1307C (Current)

11/26/2025

Test procedures are described for measuring noise at specific receiver locations (passenger and cargo doors, and servicing positions) and for conducting general noise surveys around aircraft. Procedures are also described for measuring noise level and directivity at noise source locations to facilitate the understanding and interpretation of the data. Requirements are identified with respect to instrumentation; acoustic and atmospheric environment; data acquisition, reduction and presentation, and such other information as is needed for reporting the results. This document makes no provision for predicting APU or component noise from basic engine characteristics or design parameters, nor for measuring noise of more than one aircraft operating at the same time. No attempt is made to suggest acceptable levels of noise or suitable subjective criteria for judging acceptability. ICAO Annex 16 Volume I Attachment C provides guidance on recommended maximum noise levels.

A-21 Aircraft Noise Measurement Aviation Emission Modeling

Basic Science and Art of Aircraft Wreckage Reconstruction

R-4804/23/2025

Basic Science and Art of Aircraft Wreckage Reconstruction is a unique title which addresses important aspects of investigating crashes, who does this kind of work, and how a healthy attitude and open mind are required to properly perform investigations. It also discusses what to expect from the on-scene part of the investigation, and the fundamental approaches to common types of wreckage reconstruction. Written by Don Knutson, a veteran of this industry, Basic Science and Art of Aircraft Wreckage Reconstruction is intended for the practitioner, student, or those who are simply curious about how aircraft wreckage is reconstructed. Full references are provided in the various chapters for additional reading and research. Many examples of aircraft crash scenarios and circumstances are presented in a "generic" form but relate to actual investigations, which should prove as a useful investigative resource whether you are an apprentice or an experience professional with a government aviation agency (NTSB, AAIB, FAA, etc.), an aircraft/engine/component manufacturer, military branch, insurance company, law enforcement agency, or a law firm. Basic Science and Art of Aircraft Wreckage Reconstruction is a must-read book for all who are passionate about the subject and want to understand how this activity actually happens in the field.

Airlines Electronic Engineering Committee

CSP-7124 QA Test

TATSIANAA7/15/2024

QA Testing

Aviation Maintenance Committee

PrePrint Testing - Tatsiana 0153PM

SAE-PP-094477/12/2024

Airlines Electronic Engineering Committee

Automation Title for Group Code D23

PC-Auto-1715022264466 (Current)5/6/2024

Automation Abstract for Group Code D23

Automation Title for Group Code D22

PC-Auto-1715022197983 (Current)5/6/2024

Automation Abstract for Group Code D22

Infrastructure Enablers for Automation: Vol. 2

EPRCOMPV102023

5/3/2024

ABSTRACT

Coyner, Kelley, Bittner, Jason, Lambermont, Serge, De Boer, Niels

Commercial Vehicles: Vol. 1

EPRCOMPV142023

5/3/2024

ABSTRACT

Lehmann, Johannes, Moorehead, Stewart, Muelaner, Jody E.

Legal Issues and Policy: Vol. 2

EPRCOMPV132023

5/3/2024

ABSTRACT

McQueen, Bob, Williams, Ian

Sensors: Vol. 1

EPRCOMPV112023

5/3/2024

ABSTRACT

Beiker, Sven, Porcel Magnusson, Cristina, Waraniak, John

Automation Title for Group Code D21: Updated in Authoring: 5/03/24

PC-Auto-1714611830430 (Current)5/2/2024

Automation Abstract for Group Code D21. Updated in Authoring: 5/03/24

Automation Title for Group Code D22

PC-Auto-1713447343633 (Current)4/18/2024

Automation Abstract for Group Code D22

Airlines Electronic Engineering Committee

Automation Title for Group Code D21

PC-Auto-1713447321320 (Current)4/18/2024

Automation Abstract for Group Code D21

Airlines Electronic Engineering Committee

Automation Title for Group Code D21

PC-CUR-1232 (Current)4/18/2024

Automation Abstract for Group Code D21

Airlines Electronic Engineering Committee

Automation Title for Group Code D23

PC-Auto-1713447365379 (Current)4/18/2024

Automation Abstract for Group Code D23

Flight Simulator Engineering and Maintenance Committee

Additive Manufacturing in the Mobility Industry: Vol. 1

EPRCOMPV012023

4/15/2024

An eleventh one for CUR-1174

PC11-CUR-1174 (Current)4/2/2024

Italic

Flight Simulator Engineering and Maintenance Committee

A sixth one for CUR-1174

PC6-CUR-1174 (Current)3/26/2024

N/A

testing tasks

SAE-PP-092253/21/2024

3rd task

Mutagaana, Festo

QA Test 032124

SAE-PP-092193/21/2024

Test

Mutagaana, Festo

QA Testing

SAE-PP-092013/13/2024

Test

Mutagaana, Festo

This is an Information Report, Test-4

jms-informationreport4 (Historical)3/13/2024

information report information report information report information report

Airlines Electronic Engineering Committee

specification test 3

specification3 (Historical)3/12/2024

specification test 3

Airlines Electronic Engineering Committee

characteristic test 3

characteristic3 (Historical)3/12/2024

characteristic test 3

Aviation Maintenance Committee

Characteristic Test 2

jms-characteristic2 (Historical)3/12/2024

Characteristic Test 2

Airlines Electronic Engineering Committee

information report test 3

informationreport3 (Historical)3/12/2024

information report test 3

Aviation Maintenance Committee

Liquid Runway Deicing/Anti-icing Product

AMS1435E (Current)

3/12/2024

This specification covers runway deicing and anti-icing products in the form of a liquid. Unless otherwise stated, all specifications referenced herein are latest (current) revision.

G-12RDP Runway Deicing Product Committee

Characteristic Test

jms-characteristic1 (Historical)3/11/2024

Characteristic Test

Airlines Electronic Engineering Committee

Machine-Learning-Accelerated Simulations for the Design of Airbag Constrained by Obstacles at Rest

2023-22-0001

3/4/2024

Abstract Predicting airbag deployment geometries is an important task for airbag and vehicle designers to meet safety standards based on biomechanical injury risk functions. This prediction is also an extraordinarily complex problem given the number of disciplines and their interactions. State-of-the-art airbag deployment geometry simulations (including time history) entail large, computationally expensive numerical methods such as finite element analysis (FEA) and computational fluid dynamics (CFD), among others. This complexity results in exceptionally large simulation times, making thorough exploration of the design space prohibitive. This paper proposes new parametric simulation models which drastically accelerate airbag deployment geometry predictions while maintaining the accuracy of the airbag deployment geometry at reasonable levels; these models, called herein machine learning (ML)-accelerated models, blend physical system modes with data-driven techniques to accomplish fast predictions within a design space defined by airbag and impactor parameters. These ML-accelerated models are evaluated with virtual test cases of increasing complexity: from airbag deployments against a locked deformable obstacle to airbag deployments against free rigid obstacles; the dimension of the tested design spaces is up to six variables. ML training times are documented for completeness; thus, airbag design explorers or optimization engineers can assess the full budget for ML-accelerated approaches including training. In these test cases, the ML-accelerated simulation models run three orders of magnitude faster than the high-fidelity multi-physics methods, while accuracies are kept within reasonable levels within the design space.

Valenzuela del Rio, Jose E., Lancashire, Richard, Chatrath, Karan, Ritmeijer, Peter, Arvanitis, Elena, Mirabella, Lucia

TEST - 800P1 Cabin Connectors and Cables, Part 1, Description and Overview

ARINC800P1-CSP (Historical)2/23/2024

This document is the first of a multi-part specification that will provide a catalog of cabin connector and cables that may be used in ARINC Standard cabin systems, including In-Flight Entertainment. Part 1 describes connector and cable requirements and evaluation criteria for the interface components used in the integration of cabin systems. Future releases will define connectors, contacts, and termination methods in Part 2. Cables will be specified in Part 3.

Airlines Electronic Engineering Committee

TEST - 791P2-2: Mark I Aviation Ku-Band and Ka-Band Satellite Communication System, Part 2, Electrical Interfaces and Functional Equipment Description

ARINC791P2-2-CSP (Historical)2/23/2024

This document (ARINC Characteristic 791, Part 2) provides the non-networking interface definition of the Mark I (ARINC 791) and Mark II (ARINC 792) Ku-Band and Ka-Band Satellite Communication (satcom) system intended for passenger entertainment on commercial transport aircraft. ARINC Characteristic 791 Part 1 of this document provides an overview of Ku-band and Ka-band satcom systems. System provisions, including Line Replaceable Unit (LRU) form factors, attachments, cooling, and inter-system wiring, are defined. Signals between the Modem/Modem Manager (Modman) and the Antenna Subsystem are described to permit interchangeability between any Modman and any Antenna Subsystem. ARINC Characteristic 791 Part 2 of this document provides the non-networking interface definition of the satcom system. Any signal crossing into or out of the communication system is documented to ease aircraft integration. Signals within the satcom system, and in particular, between the Modman and the Antenna Subsystem, are described to permit interchangeability between any Modman and any Antenna Subsystem. ARINC Characteristic 791 Part 3 of this document provides the networking interface definition of the satcom system. Any signal crossing into or out of the communication system is documented to ease aircraft integration.

Airlines Electronic Engineering Committee

TEST - Designing for Long Life with Elastomers

AIR1412E-CSP (Historical)2/23/2024

This document lists those guidelines recognized as being essential for consideration by the designer who is preparing to select an elastomer as part of an aerospace design.

Airlines Electronic Engineering Committee

BEARING, PLAIN, SELF-ALIGNING, PTFE LINED, WIDE

AS21231B (Current)2/2/2024

ACBG Plain Bearing Committee

Regression 1/18/24

SAE-PP-091381/18/2024

test download cache issue 01/02/24 at 8:12 am

SAE-PP-090941/2/2024

test download cache issue 01/02/24 at 8:12 am

Mutagaana, Festo

test download manager cache issue 12/27/2023 at 9 am

SAE-PP-0908512/27/2023

test download manager cache issue 12/27/2023 at 9 am

Mutagaana, Festo

test download issue 12/27/2023 at 8:13 am

SAE-PP-0908412/27/2023

test download issue 12/27/2023 at 8:13 am

Mutagaana, Festo

Key Technology Challenges of Electric Ducted Fan Propulsion Systems for eVTOL

EPR2023027

11/22/2023

Electrical vertical takeoff and landing (eVTOL) vehicles for urban air mobility (UAM) are garnering increased attention from both the automotive and aerospace industries, with use cases ranging from individual transportation, public service, cargo delivery, and more. Distributed electric propulsion systems are their main technical feature; they determine vehicle size and propulsion efficiency and provide distributed thrust to achieve attitude control. Considering the intended role of eVTOL vehicles, ducted-fan systems are ideal choice for the propulsor, as the duct provides a physical barrier between the rotating blades and the human, especially during the take-off and landing phases. Key Technology Challenges of Electric Ducted Fan Propulsion Systems for eVTOL introduces the main bottlenecks and key enablers of ducted-fan propulsion systems for eVTOL applications. Based on the introduction and discussion of these important issues, this report will help eVTOL engineers understand the key technical issues and inspire them to develop the ideal solutions that will enable eVTOL vehicle deployment for UAM operations. Click here to access the full SAE EDGETM Research Report portfolio.