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2016-10-01
Book
Lev Klyatis
The ability to successfully predict industrial product performance during service life provides benefits for producers and users. This book addresses methods to improve product quality, reliability, and durability during the product life cycle, along with methods to avoid costs that can negatively impact profitability plans. The methods presented can be applied to reducing risk in the research and design processes and integration with manufacturing methods to successfully predict product performance. This approach incorporates components that are based on simulations in the laboratory. The results are combined with in-field testing to determine degradation parameters. These approaches result in improvements to product quality, performance, safety, profitability, and customer satisfaction.
2016-09-27
Technical Paper
2016-01-8011
Kevin Grove, Jon Atwood, Myra Blanco, Andrew Krum, Richard Hanowski
The goal of this research was to investigate the reliability of tractor-trailer collision avoidance systems (CASs) and characterize the activations observed in the real world. 150 commercial tractor-trailers were equipped with a data acquisition system (DAS) for up to one year. The DAS recorded video of the roadway, video of the driver and vehicle data whenever the truck was driving. Data was collected between November 2013 and August 2015, and the trucks in the study were equipped with either the Meritor WABCO OnGuardTM or Bendix® Wingman® AdvancedTM products. Seven companies from across the United States participated in the study, and all participating vehicles drove their normal, revenue-producing routes. The study evaluated reliability by classifying activations into three categories, based on whether a valid object was being tracked and whether the driver need to react immediately to the activation.
2016-09-27
Technical Paper
2016-01-8132
Sanket Pawar
Reliability engineering methods are used to assess risk and eliminate hazards by estimation, elimination and management of risks of failures. ISO 26262 functional safety standard gives detailed guidance on reliability engineering methods like Failure Mode Effects Analysis (FMEA), Fault Tree Analysis (FTA) etc. While, there are many methods available for reliability engineering; no single method is full proof for securing safety by eliminating hazards completely. Out of these methods, FMEA is widely being used as an integral part of product development life cycle. In this method, failure modes of individual components are analyzed considering one failure at a time. FMEA is efficient method for analyzing failures in simple systems. For complex systems, FMEA becomes impractical. It is also difficult to consider variables in FMEA. FMEA provides fairly detailed recommended actions to avoid failures and eliminate hazards in average working conditions.
2016-06-15
WIP Standard
ARP6415
This document will provide guidance and risk trade discussion on reballing Pb-free BGAs vs. installing them using a mixed alloy soldering method. Information will be presented relative to the risks of each method and guidance on an approach.
2016-06-08
WIP Standard
AS20708/17B
No Scope Available
2016-06-08
WIP Standard
AS20708/22B
No Scope Available
2016-06-08
WIP Standard
AS20708/16B
No Scope Available
2016-06-08
WIP Standard
AS20708/15B
No Scope Available
2016-06-08
WIP Standard
AS20708/25B
This specification covers the detail requirements for control transformer synchro, type 16CTB4b, 90 volt, 400 cycle.
2016-06-01
WIP Standard
AIR6906
To document a lesson learnt that impulse towing loads are effected by tow tractor clevis and pin and towbar eye ring clearances. These impulse loads can be so large that they have damage the nose landing gear and aircraft structure of some aircraft. Damage occurs while operating within towing instruction
2016-05-17
WIP Standard
AIR6245
This document is applicable to military aircraft where stakeholders are seeking guidance on the development and approval of Structural Health Monitoring (SHM) technologies and on the integration of these technologies into encompassing maintenance and operational support systems. The document will refer to those guidelines prepared under SAE ARP6461 that are relevant and applicable to military applications.
2016-05-17
WIP Standard
JA6268
This Aerospace Recommended Practice (ARP) was created to help industry deal with existing barriers to the successful implementation of Integrated Vehicle Health Management (IVHM) technology in the aerospace and automotive sectors. That is,given the common barriers that exist, this ARP can be applied not only to aerospace but also to the automotive, commercial and military vehicle sectors. Original Equipment Manufacturers (OEMs) in all of these sectors are heavily dependant upon a large number of component suppliers in order to design and build their products. The advent of IVHM technology has accentuated the need for improved coordination and communication between the OEM and its suppliers –to ensure that suppliers design health ready capabilities into their particular components.
2016-05-10
WIP Standard
AS20708/7B
No Scope Available
2016-05-04
WIP Standard
AIR5120A
This document has been declared "CANCELLED" by the E32 committee as of April 2016 and has been superseded by ARP5120. By this action, this document will remain listed in the Numerical Section of the Aerospace Standards Index noting that it is superseded by ARP5120. Cancelled specifications are available from SAE.
2016-04-22
WIP Standard
ARP6904
In order to realize the benefits of Integrated Vehicle Health Management (IVHM) within the aerospace and defense industry there is a need to address five critical elements of data interoperability within and across the aircraft maintenance ecosystem, namely • Approach • Trust • Context • Value • Security In Integrated Vehicle Health Management (IVHM) data interoperability is the ability of different authorized components, systems, IT, software, applications and organizations to securely communicate, exchange data, interpret data, use the information and derive consistent insight from the data that has been exchanged to derive value.
2016-04-12
Standard
AIR5490A
This document provides information on contamination and its effects on brakes having carbon-carbon composite friction materials (carbon). Carbon is hygroscopic and porous, and therefore readily absorbs liquids and contaminants. Some of the contaminants can impact intended performance of the brake. This document is intended to raise awareness of the effects of carbon brake contamination and provide information on industry practices for its prevention. Although not addressed in this report, contaminants can cause problems with other landing system components including tires.
2016-04-06
WIP Standard
AS85352A
This specification covers a direct reading, remote control, pneumatic pressure inflator assembly, for use on aircraft tires and struts having pneumatic pressure requirements up to 600 psi. It includes pressure relief provisions for safe inflation. Also included are dual chuck stem gages for measuring tire pressure.
2016-04-05
Technical Paper
2016-01-0270
Zhigang Wei, Limin Luo, Michael Start, Litang Gao
Product validation and reliability demonstration require testing of limited samples and probabilistic analyses of the test data. The uncertainties introduced from the tests with limited sample sizes and the assumptions made about the underlying probabilistic distribution will significantly impact the results and the results interpretation. Therefore, understanding the nature of these uncertainties is critical to test method development, uncertainty reduction, data interpretation, and the effectiveness of the validation and reliability demonstration procedures. In this paper, these uncertainties are investigated with the focuses on the following two aspects: (1) fundamentals of the RxxCyy criterion used in both the life testing and the binomial testing methods, (2) issues and benefits of using the two-parameter Weibull probabilistic distribution function.
2016-04-05
Technical Paper
2016-01-0289
Balakrishna Chinta
Abstract Mahalanobis Distance (MD) is gaining momentum in many fields where classification, statistical pattern recognition, and forecasting are primary focus. It is a multivariate method and considers correlation relationships among parameters for computing generalized distance measure to separate groups or populations. MD is a useful statistic in multivariate analysis to test that an observed random sample is from a multivariate normal distribution. This capability alone enables engineers to determine if an observed sample is an outlier (defect) that falls outside the constructed (good) multivariate normal distribution. In Mahalanobis-Taguchi System (MTS), MD is suitably scaled and used as a measure of severity in abnormality assessment. It is obvious that computed MD depends on values of parameters observed on a random sample. All parameters may not equally impact MD. MD could be highly sensitive with respect to some parameters and less sensitive to some other parameters.
2016-04-05
Technical Paper
2016-01-0271
David A. Warren
Abstract The objective of the paper is to outline the steps taken to change the reliability and maintenance environment of a plant from completely reactive to proactive. The main systems addressed are maintenance function fulfillment with existing staffing; work order management, planning, and scheduling; preventive maintenance (PM) definition and frequency establishment; predictive maintenance (PdM) scheduling and method definition; and shutdown planning and execution. The work order management methods were evaluated and modified to provide planning and scheduling of work orders on a weekly basis. The computerized maintenance and management system (CMMS) was updated to automatically insert work orders into the backlog of work for completion. A failure modes and effects analysis (FMEA) was performed and the results of the FMEA led to implementation of the following PM and PdM activities: vibration analysis, thermal imaging, and temperature monitoring.
2016-04-05
Technical Paper
2016-01-0274
Sharon L. Honecker, David J. Groebel, Adamantios Mettas
Abstract In order to accurately predict product reliability, it is best to design a test in which many specimens are tested for a long duration. However, this scenario is not often practical due to economic and time constraints. This paper describes a reliability test in which a limited number of specimens are tested with little time remaining before the scheduled start of production. During the test, an unexpected failure mode that can be mitigated through a product redesign occurs. Because the scheduled start of production is near, there is not enough time to perform a test with redesigned specimens, so the current test proceeds as planned. We discuss several methods and the associated assumptions that must be made to account for the presence of the unexpected failure mode in the test data in order to make predictions of reliability of the redesigned product.
2016-04-05
Technical Paper
2016-01-0279
Chong Chen, Zhenfei Zhan, Jie Li, Yazhou Jiang, Helen Yu
Abstract To reduce the computational time of the iterations in robust design, meta-models are frequently utilized to approximate time-consuming computer aided engineering models. However, the bias of meta-model uncertainty largely affects the robustness of the prediction results, this uncertainty need to be addressed before design optimization. In this paper, an efficient uncertainty quantification method considering both model and parameter uncertainties is proposed. Firstly, the uncertainty of parameters are characterized by statistical distributions. The Bayesian inference is then performed to improve the predictive capabilities of the surrogate models, meanwhile, the model uncertainty can also be quantified in the form of variance. Monte Carlo sampling is finally utilized to quantify the compound uncertainties of model and parameter. Furthermore, the proposed uncertainty quantification method is used for robust design.
2016-04-05
Technical Paper
2016-01-0283
Joydip Saha, Harry Chen, Sadek Rahman
Abstract More stringent federal emission regulations and fuel economy requirements have driven the automotive industry toward more sophisticated vehicle thermal management systems in order to best utilize the waste heat and minimize overall power consumption. With all new technologies and requirements, how to properly design, optimize, and control the vehicle thermal and cooling systems become great challenges to automotive engineers. Model based approach has become essential to the new thermal management system architectures design and evaluation of the optimal system solutions. This paper will discuss how the model based vehicle thermal system simulation tools have been developed from analytical & empirical data, and have been used for assessment and development of new thermal management system architectures.
2016-04-05
Technical Paper
2016-01-0320
Tejas Janardan Sarang, Mandar Tendolkar, Sivakumar Balakrishnan, Gurudatta Purandare
Abstract In the automotive industry, multiple prototypes are used for vehicle development purposes. These prototypes are typically put through rigorous testing, both under accelerated and real world conditions, to ensure that all the problems related to design, manufacturing, process etc. are identified and solved before it reaches the hands of the customer. One of the challenges faced in testing, is the low repeatability of the real world tests. This may be predominantly due to changes in the test conditions over a period of time like road, traffic, climate etc. Estimating the repeatability of a real world test has been difficult due to the complex and multiple parameters that are usually involved in a vehicle level test and the time correlation between different runs of a real world test does not exist. In such a scenario, the popular and the well-known univariate correlation methods do not yield the best results.
2016-04-05
Journal Article
2016-01-0269
Zhigang Wei, Michael Start, Jason Hamilton, Limin Luo
Durability and reliability performance is one of the most important concerns for vehicle components and systems, which experience cyclic fatigue loadings and may eventually fail over time. Durability and reliability assessment and associated product validation require effective and robust testing methods. Several testing methods are available and among them, three basic testing methods are widely used: life testing, binomial testing (bogey testing), and degradation testing. In fact, their commonalities, differences, and relationships have not been clearly defined and fully understood. Therefore, the maximum potential of these testing methods to generate efficient, optimized, and cost-effective testing plans, consistent results, and meaningful results interpretation have been significantly limited. In this paper, a unified framework for representing these testing methods and conducting reliability analysis in a single damage-cycle (D-N) diagram is provided.
2016-04-03
Standard
AIR4365B
This SAE Aerospace Information Report (AIR) describes procedures for use in the field to determine if 115/200 Volt, 400 Hz aircraft external electrical power connectors are excessively worn, which may result in the inability of the external power plug to be retained, intermittent electrical performance and arcing.
2016-03-22
WIP Standard
AMS2451D
This specification and its supplementary detail specifications establish the requirements for electrodeposition of metals by brush plating.
2016-03-17
WIP Standard
ARP6412
The scope of the Landing Gear Integrity Programs (LGIP) Aerospace Recommended Practice (ARP) is intended to assist in the safe-life structural integrity management of the landing gear system and subsystems components. In addition, component reliability, availability, and maintainability is included in a holistic LGIP.
2016-03-15
WIP Standard
AIR6411
Provide information and guidance for landing gear operation in cold temperature environment. Covers all operational aspects on ground and in flight. Includes effects on: tires, wheels, brakes, shock strut, seals, and actuation.
2016-03-15
WIP Standard
AS5714
To assist the FAA with the technical update of TSO-C26d to address Electric Brake Actuation, standardize with TSO-C135a and address any remaining concerns with the current document.
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