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Induction machines (IM) are considered work horse for industrial applications due to their rugged, reliable and inexpensive nature; however, their low power density restricts their use in volume and weight limited environments such as an aerospace, traction and propulsion applications. Given recent advancements in additive manufacturing technologies, this paper presents opportunity to improve power density of induction machines by taking advantage of higher slot fill factor (SFF) (defined as ratio of bare copper area to slot area) is explored. Increase in SFF is achieved by deposition of copper in much more compact way than conventional manufacturing methods of winding in electrical machines. Thus a design tradeoff study for an induction motor with improved SFF is essential to identify and highlight the potentials of IM for high power density applications and is elaborated in this paper.

This specification covers premium quality bolts and screws made of 6Al - 4V titanium alloy.

AS9131 - This standard defines the common nonconformance data definition and documentation that an internal or external supplier or sub-tier supplier must submit when informing a customer of a nonconformity. The requirements shall be are applicable for reporting a nonconforming product to the owner/operator (i.e., end item user), if specified by contract. Reporting of nonconformance data, either electronically or conventionally on paper, is subject to the terms and conditions of the contract. This also includes, where applicable, data access under export control regulations.

This is the Microsoft Word® version of AS9101D, which defines the content and the presentation of the Assessment Report for the AS9100 standard. AS9101DW is an historical document; it has been superseded by AS9101E (note: there is not a Word version of this standard).

This is the Microsoft Word® version of AS9101C, which defines the content and the presentation of the Assessment Report for the AS9100 standard. AS9101CW is an historical document; a newer version, AS9101DW, exists.

This technical paper collection contains 41 reliability and robust design papers. Topics covered include: axiomatic design; reliability testing, model validation and verification; reliability-based design optimization; assessment of reliability and robustness and reliability applications; design for Six Sigma; decision under uncertainty/uncertainty modeling; and reliability and robust design in automotive aero-thermal and fluid systems.

SAE 2011 High Efficiency IC Engines Symposium - Session 1- Pathways to High Efficiency Presenter Rolf D. Reitz, Univ. of Wisconsin

Propane autogas, the world?s third most-used engine fuel, powers vehicles, transit buses, and now school buses. Blue Bird has recently launched the Next Generation Vision type C school bus, powered by a ROUSH CleanTech liquid propane autogas fuel system and a Ford 6.8L V10 engine. The bus reduces operating costs by up to 40%, greenhouse gas emissions by up to 24%, and maintains the factory horsepower, torque, and towing capacity ratings. Learn about how school districts are saving over $.30 / mile using this clean, domestically-produced fuel. Presenter Brian Carney, Roush CleanTech.

The increasing complexity of aerospace products and programs and the growing competitive pressure is facilitating the aggregation of small, medium and large enterprises of certain geographical regions into more integrated and collaborative entities (clusters). Clusters are by their same nature formed by heterogeneous companies, with huge differences not only in size but also for their core competences: such a diversity is a strength of the cluster, but it also increases its complexity. The purpose of this paper is to describe a benchmarking methodology that can be adopted to assess the performances of companies belonging to a cluster from different perspectives: economics and financials, competitive differentiators, specific know how, business strategies, production and logistic effectiveness, quality of core and supporting processes.

The presentation describes technology developments and the integration of these technologies into new emission control systems. As in other years, the reader will find a wide range of topics from various parts of the world. This is reflective of the worldwide scope and effort to reduce diesel exhaust emissions. Topics include the integration of various diesel particulate matter (PM) and Nitrogen Oxide (NOx) technologies as well as sensors and other emissions related developments. Presenter Atsuo Kondo, NGK Insulators, Ltd.

“Spotlight on Design: Insight” features an in-depth look at the latest technology breakthroughs impacting mobility. Viewers are virtually taken to labs and research centers to learn how design engineers are enhancing product performance/reliability, reducing cost, improving quality, safety or environmental impact, and achieving regulatory compliance. The quality of fluids used in aviation, such as oil or fuel, is an extremely important safety issue. One way to reliably monitor fluids is through the use of special measurement sensors. In the episode “Fluid Measurements and Avionics” (9:13), an engineer at Meggitt demonstrates the capabilities of time-domain reflectometry sensors, explaining how they are assembled and used. The business case for monitoring oil and fuel degradation, and how to proactively take advantage of preventative maintenance is also explained.

“Spotlight on Design: Insight” features an in-depth look at the latest technology breakthroughs impacting mobility. Viewers are virtually taken to labs and research centers to learn how design engineers are enhancing product performance/reliability, reducing cost, improving quality, safety or environmental impact, and achieving regulatory compliance. When automotive and aerospace manufacturers look for a material with superior lightweight and strength characteristics, they often look no further than composite materials. In the episode “Composite Materials: New Trends in Automotive Design” (10:20), an engineer from Molded Fiber Glass Research Company demonstrates how they develop and test the properties of composite materials, and an engineer at MirTEQ Incorporated discusses designing molds for an aftermarket composite part.

Racing Green Endurance: An EV Record will focus on what a small team of ambitious and talented engineers can do when they have a dream! Back in 2009, a team of graduates from Imperial College London came together to do something radical to change the public perception of electric vehicles forever. They came up with the idea to design and build the world's longest range electric car, and then drive it down the longest and toughest road in the world; the 26,000km Pan-American Highway! Racing Green Endurance: An EV Record will share the story from start to finish, and will also focus on the technology used to achieve such a feat, with particular mention of the electric motors. Presenter Alexander Schey, Imperial College London

“Spotlight on Design” features video interviews and case study segments, focusing on the latest technology breakthroughs. Viewers are virtually taken to labs and research centers to learn how design engineers are enhancing product performance/reliability, reducing cost, improving quality, safety or environmental impact, and achieving regulatory compliance. In the episode “Composite Materials: Advanced Materials and Lightweighting” (30:20), Molded Fiber Glass Companies, known for its deep involvement in the creative development of the molded fiberglass process for the Corvette, demonstrates the manufacturing of sheet molded composite for fiberglass parts. Tanom Motors introduces the Tanom Invader, a blend between an automobile and a motorcycle made exclusively with composite materials. Finally, Euro-Composites demonstrates the manufacturing of honeycomb core material made out of aramid paper and phenolic resin used in aircraft structures.

Simulation-based tolerance analysis is the accepted standard for dimensional engineering in aerospace today. Sophisticated 3D model-based tolerance analysis processes enable engineers to measure variation in complex, often large, assembled products quickly and accurately. Best-in-class manufacturers have adopted Quality Intelligence Management tools for collecting and consolidating this measurement data. Their goal is to completely understand dimensional fit characteristics and quality status before commencing the build process. This results in shorter launch cycles, improved process capabilities, reduced scrap and less production downtime. This paper describes how to use simulation-based approaches to correlate the theoretical tolerance analysis results produced during engineering simulations to actual as-built results. This allows engineers to validate or adjust as-designed simulation parameters to more closely align to production process capabilities.

The fatty acid methyl esters (FAME's) - in Europe mostly RME (Rapeseed methyl ester) - are used in several countries as alternative biogene Diesel fuels in various blending ratios with fossil fuels (Bxx). Questions often arise about the influences of these biocomponents on the modern exhaust aftertreatment systems and especially on the regeneration of Diesel particle filters (DPF). In the present work different regeneration procedures of DPF systems were investigated with biofuels B0, B20 & B100. The tested regeneration procedures were: passive regenerations: DOC + CSF; CSF alone, active regenerations: standstill burner; fuel injections & DOC. During each regeneration on-line measurements of regulated and unregulated emission components (nanoparticles & FTIR) were conducted. It can be stated that the increased portion of RME in fuel provokes longer time periods to charge the filter with soot.

The Pennsylvania State University is one of 16 North American universities that participated in the EcoCAR advanced vehicle technology competition (http://www.ecocarchallenge.org/). A series-hybrid-electric vehicle based on a General Motors crossover SUV platform has been designed, built and tested for this purpose. The powertrain features a 1.3 L turbodiesel engine running on a B20 fuel system, a 75kW generator directly coupled to the engine and advanced lithium-ion batteries. In this paper, the vehicle architecture and control strategy are detailed and performance predictions (e.g., acceleration, fuel consumption and emissions) are presented. This includes discussion of the development process that led to the selected designs. The predicted performance is compared with data obtained on a chassis dynamometer and during on-road measurements over specified drive cycles. Presenter Shawn Getty

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.

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.