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When vehicles share certain information wirelessly via Dedicated Short Range Communications (DSRC), they enable a new layer of electronic vehicle safety that, when needed, can generate warnings to drivers and even initiate automatic preventive actions. Vehicle location and velocity provided by Global Navigation Systems (GNSS), including GPS, are key in allowing vehicle path estimation. GNSS is effective in accurately determining a vehicle's location coordinates in most driving environments, but its performance suffers from obstructions in dense urban environments. To combat this, augmentations to GNSS are being contemplated and tested. This testing has been typically done using a reference GNSS system complimented by expensive military-grade inertial sensors, which can still fail to provide adequate reference performance in certain environments.

Multicore processor are well established in classical and tablet personal computers for some year. Such processors use more then one central core for computation and allow to integrate more computational power with smaller costs. However more than 90% of all processors worldwide are not placed in classical IT but are empedded in bigger systems like in modern vehicles or airplanes. Such systems face a very high demand in terms of safety, security an reliability which hinders the use of multicores in such systems. The funded project ARAMiS faces these demands and has the goal to enable the usability of multicore systems in the domains automotive and avionics, as well as later also railway. ARAMiS is the basis for higher traffic safety, traffic efficiency and comfort.

Sensing exhaust gas temperature is a key component in diesel after treatment systems for both control and diagnostics. Accuracy varies significantly depending upon the sensing technology and implementation in the system. Prior published work has demonstrated that resistance based temperature sensors are not able to achieve the system accuracy required for advanced diagnostics over the life of the emission system. This presentation will show that it is feasible to achieve better than �10�C end of life system accuracy by means of active thermocouple technology. Results from tests at Michigan Technological University will be used to illustrate diagnostic uncertainty related to the application of temperature sensors and a specific DOC/DPF example will be used to show the benefits of accurate temperature based diagnostics. Presenter D. P. Culbertson, Watlow Gordon

Cyber security in the aviation industry, especially in relation to onboard aircraft systems, presents unique challenges in its implementation and management. The cyber threat model is constantly evolving and will continually present new and different challenges to the aircraft operator in responding to new cyber threats without either invoking a lengthy software update and re-certification process or limiting aircraft-to-ground communications to the threatened system or systems. This presentation discusses a number of system architectural options and developing technologies that could be considered to enhance the aircraft cyber protection and defensive capabilities of onboard systems as well as to minimize the effort associated with certification/re-certification. Some of these limit the aircraft?s vulnerabilities or in cyber terms, its ?threat surface?.

With the growing use of carbon fiber composite structure in Aircraft Manufacturing, the challenge of drilling carbon fiber stacked with Titanium has become a focus point. Due to the abrasive nature of the carbon fiber (CF), cutting tool life is relatively short when drilling carbon fiber stalked with Titanium. A common drill wear indicator is exit burr formation in the Titanium. As drilling tools wear due to the abrasive nature of the CF, the exit burr in the in the Titanium increases. This study seeks to understand the factors that lead to tool wear and exit burr formation. A correlation may be made relating drilling thrust forces with exit burr formation. Different cutting tools geometries and materials are studied using a high speed camera to attempt to understand the factors influencing exit burr formation. Findings are optimized and tested. Decreasing exit burr in the drilling of CF and Titanium may increase tool life thereby reducing tool costs to airframe manufacturers.

In recent years, all major microprocessor manufacturers are transitioning towards the deploymenet of multiple processing cores on every chip. These multi-core architectures represent the industry consensus regarding the most effective utilization of available silicon resources to satisfy growing demands for processing and memory capacities. Porting off-the-shelf software capabilities to multi-core architectures often requires significant changes to data structures and algorithms. When developing new software capabilities specifically for deployment on SMP architectures, software engineers are required to address specific multi-core programming issues, and in the ideal, must do so in ways that are generic to many different multi-core target platforms. This talk provides an overview of the special considerations that must be addressed by software engineers targeting multi-core platforms and describes how the Java language facilitates solutions to these special challenges.

DSM will present various application solutions in High Performance Plastics enabling to significant weight or friction reduction and thus to reduced fuel consumption and/or emission levels, and on top of that to lower system costs. Typical Eco+ Solutions Examples to be presented are: - Friction Reduction: Nylon 46 in chain tensioners yielding up to 1 % fuel reduction - Weight Reduction (metal-to-plastic conversion): Nylon 46 with long term temperature resistance upto 230 C in turbo components, Nylon 6 in oil pans/sumps, PET in plastic precision parts, Nylon 46 in gears, many other examples - Electrification: Nylon 46 in start/stop and e-motor components, TPC in HV cables - System Cost optimization: High Flow PA6 in various components, TPC in Brake Tubes - Improved LCA: biobased materials as PA410 and TPC-Eco Typical Application Solutions concern: air induction systems, engine and transmission components, electrical systems, structural&safety parts.

The use of Engine Health Management (EHM) systems has been growing steadily in both the civilian and the military aerospace sectors. Barring a few notable exceptions (such as certain temperature and thrust margin monitoring) regulatory authorities around the world have not required these systems to be certified in any way. This is changing rapidly. New airframes and engines are increasingly being designed with the assumption that EHM will be an integral part of the way customers will operate these assets. This leads to a need for better guidelines on how such systems should be certified. The SAE E-32 committee on Propulsion System Health Monitoring is leading an industry-wide effort to develop a set of guidelines for certifying EHM systems.

The amount of software, computation and logic embedded into the vehicle systems is increasing. Testing of complex real time embedded systems using Hardware in Loop (HIL) simulations across different vehicle platforms has been a challenge. Data driven testing enables a qualitative approach to test these complex vehicle systems. It consists of a test framework wherein the test logic and data are independent of the HIL test environment. The data comprises variables used for both input values and output verification values. This data is maintained in a database or in the form of tables. Each row defines an independent test scenario. The entire test data is divided into three categories, High, Medium and Low. This feature gives the advantage of leveraging the same set of test data from Unit Level Testing phases to the Integration Test phase in the V-Cycle of software development. A data driven test approach helps the reuse of tests across vehicle platforms.

Probabilistic methods are used in calculating composite part design factors for, and are intended to conservatively compensate for worst case impact to composite parts used on space and aerospace vehicles. The current method to investigate impact damage of composite parts is visual based upon observation of an indentation. A more reliable and accurate determinant of impact damage is to measure impact energy. RF impact sensors can be used to gather data to establish an impact damage benchmark for deterministic design criteria that will reduce material applied to composite parts to compensate for uncertainties resulting from observed impact damage. Once the benchmark has been established, RF impact sensors will be applied to composite parts throughout their life-cycle to alert and identify the location of impact damage that exceeds the maximum established benchmark for impact.

The CAN protocol has served the automotive and related industries well for over twenty-five (25) years now; with the original CAN protocol officially released in 1986 followed by the release of CAN 2.0 in 1991. Since then many variants and improvements in CAN combined with the proliferation of automotive onboard microprocessor based sensors and controllers have resulted in CAN establishing itself as the dominant network architecture for automotive onboard communication in layers one (1) and two (2). Going forward however, the almost exponential growth of automotive onboard computing and the associated devices necessary for supporting said growth will unfortunately necessitate an equivalent growth in the already crowded wired physical infrastructure unless a suitable wireless alternative can be provided. While a wireless implementation of CAN has been produced, it has never obtained real traction within the automotive world.

PRESENTATION ABSTRACT (ROI Approval BOE021811-122) REVIEW OF UPDATED AEROSPACE RECOMMENDED PRACTICES ARP5061A, Guidelines for Testing and Support of Aerospace, Fiber Optic, Inter-Connect Systems RATIONALE: A single source document to capture current best practices, methods, test equipment, and materials that support fiber optic interconnect systems including high-density applications deployed in Aerospace platforms. SCOPE: This presentation will describe how the ARP5061 document provides the maintainer unique guidelines for optical performance testing of short haul fiber optic inter-connect systems used in aerospace vehicles. The focus of this document is to establish common pre and post installation test methods, equipment, materials, and troubleshooting methodologies. QUALIFICATIONS AND TRAINING STANDARDS: The repair and maintenance of a fiber optic system should ONLY BE PERFORMED by qualified personnel.

This session covers topics regarding new CI and SI engines and components. This includes analytical, experimental, and computational studies covering hardware development as well as design and analysis techniques. Presenter Joshua Styron, Ford Motor Co.

These advanced checks have resulted in development of many new diagnostic monitors, of varying types, and a whole new internal software infrastructure to handle tracking, reporting, and self-verification of OBD related items. Due to this amplified complexity and the consequences surrounding a shortfall in meeting regulatory requirements, efficient and thorough validation of the OBD system in the powertrain control software is critical. Hardware-in-the-Loop (HIL) simulation provides the environment in which the needed efficiency and thoroughness for validating the OBD system can be achieved. A HIL simulation environment consisting of engine, aftertreatment, and basic vehicle models can be employed, providing the ability for software developers, calibration engineers, OBD experts, and test engineers to examine and validate both facets of OBD software: diagnostic monitors and diagnostic infrastructure (i.e., fault memory management).

Given the fast changing market demands, the growing complexity of features, the shorter time to market, and the design/development constraints, the need for efficient and effective verification and validation methods are becoming critical for vehicle manufacturers and suppliers. One such example is fault-tree analysis. While fault-tree analysis is an important hazard analysis/verification activity, the current process of translating design details (e.g., system level and software level) is manual. Current experience indicates that fault tree analysis involves both creative deductive thinking and more mechanical steps, which typically involve instantiating gates and events in fault trees following fixed patterns. Specifically for software fault tree analysis, a number of the development steps typically involve instantiating fixed patterns of gates and events based upon the structure of the code. In this work, we investigate a methodology to translate software programs to fault trees.

With the increased demand for high volume, cost-effective, fiber-reinforced thermoplastic parts, the lack of high throughput systems has become more pronounced. Thermoforming as a method to generate complex shapes from a flat preform is dependable and fast. In order to use readily available, standard unidirectional impregnated thermoplastic tape in this process, a flat perform must be created prior to the thermoforming step. Formerly, creating the preform by hand layup was a time consuming and therefore costly, step. Fiberforge�?s patented RELAY� technology overcomes the challenges of handling thermoplastic prepreg tape and provides a solution through the automated creation of a flat preform, referred to as a Tailored Blank?. Producing a part for thermoforming with accurate ply orientation and scrap minimization is now as simple as loading a material spool followed by a pressing a start button. Presenter Christina McClard, Fiberforge

Impact of driving patterns on fuel economy is significant in hybrid electric vehicles (HEVs). Driving patterns affect propulsion and braking power requirement of vehicles, and they play an essential role in HEV design and control optimization. Driving pattern conscious adaptive strategy can lead to further fuel economy improvement under real-world driving. This paper proposes a real-time driving pattern recognition algorithm for supervisory control under real-world conditions. The proposed algorithm uses reference real-world driving patterns parameterized from a set of representative driving cycles. The reference cycle set consists of five synthetic representative cycles following the real-world driving distance distribution in the US Midwestern region. Then, statistical approaches are used to develop pattern recognition algorithm. Driving patterns are characterized with four parameters evaluated from the driving cycle velocity profiles.

This paper presents an extension of our earlier work on Cummins Vehicle Mission Simulation (VMS) software. Previously, we presented VMS as a Windows based analysis tool to simulate vehicle missions quickly and to gauge, communicate, and improve the value proposition of Cummins engines to customers. Presenter Nagesh Belludi, Cummins Inc.

With the increase of functions in the next generation of aircrafts, it has become very important to address reconfigurability. The bottom line is that space and weight available for critical computers in an aircraft remain mostly unchanged. These new functions imply more computation power and so more redundant elements for safety. CPU power has been increased but the latest evolution with the new multi-core CPU's introduces additional difficulties in terms of certification. IMA first generation was the first answer to address some of these problems by enabling the concentration of several certified critical functions in the same physical computer. However, up to now, such implementations were very static and did not scale very well with the increase of functions need for the next generation aircraft. That?s why the avionics industry is looking for improvement of existing solutions and must work on what would be the next generation of IMA (IMA-NG).

: Fiber Placement equipment has historically been very large and very expensive. Therefore, the AFP process has been mostly exclusive to the larger aerospace companies of the world. In order to achieve more widespread use of the AFP process, a wider variety of machine configurations must be offered and cost of the equipment must be decreased. Commercially available, articulated robotic arms have been identified as an attractive, low cost option for AFP machine platforms. However, incorporating AFP material delivery technology with robotic arms has many challenges. These challenges relate to both hardware and software issues. This presentation will address the technical challenges of using robots as a machine platform for the AFP process and review the current status of this composites lamination equipment technology. Presenter Frederic Challois, Coriolis Composites