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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.

SAE J2008 Recommended Organization of Vehicle Service Information for Interchange Access to accurate service information is critical for the diagnosis and repair of increasingly complex vehicle systems. Though aftermarket technicians perform a significant amount of this service and repair, they do not have fast, easy access to this important information. If proper procedures are not readily available, the technician may use a less effective technique that could directly impact the vehicle's performance. The goal of SAE J2008 is to enable manufacturers to standardize vehicle service information in order to increase technician familiarity and reduce search time with easy data retrieval. SAE J2008 on CD-ROM brings you the information you need to standardize your vehicle service information—today.

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.

Auto manufacturers have known and surveys confirm that consumers require short payback periods (2-4 years) for investments in fuel economy. Using societal discount rates, engineering-economic generally find substantial potential to increase fuel economy, cost-effectively. This phenomenon, often referred to as the ?energy paradox?, has been observed in nearly all consumers? choices of energy-using durable goods. Loss aversion, perhaps the most well established theory of behavioral economics, provides a compelling explanation. Engineering economic analyses generally overlook the fact that consumers? investments in fuel economy are not sure things but rather risky bets. Future energy prices, real world on-road fuel economy, and many other factors are uncertain. Loss aversion describes a fundamental human tendency to exaggerate the potential for loss relative to gain when faced with a risky bet. It provides a sufficient explanation for consumers?

Hybrid systems have been available for several years now, and offer customers a decrease in fuel consumption and CO2 emissions at an incremental price. Hybrids, in some cases, have offered improved other customer benefits such as reduced noise, vibration and harshness or better acceleration and the satisfaction of increased societal benefit. Sometimes the vehicle utility is compromised by the volume dedicated to energy storage systems. Several hybrid architecture arrangements exist in the market, and offer various levels of hybrid feature. But considering acquisition cost and operating expense, most hybrid vehicles have not offered a direct total cost advantage when compared to non-hybrids. GM's new e-Assist system is highly integrated with the engine and transmission functionality, and takes advantage of the highest value fuel economy enablers available with light electrification.

This session focuses on particle emissions from combustion engines, including measurement methods and fuel effects. Presenter Leonidas D. Ntziachristos, Aristotle University Thessaloniki

Virtual testing is a method that simulates lab testing using multi-body dynamic analysis software. The main advantages of this approach include that the design can be evaluated before a prototype is available and virtual testing results can be easily validated by subsequent physical testing. The disadvantage is that accurate specimen models are sometimes hard to obtain since nonlinear components such as tires, bushings, dampers, and engine mounts are hard to model. Therefore, virtual testing accuracy varies significantly. The typical virtual rigs include tire and spindle coupled test rigs for full vehicle tests and multi axis shaker tables for component tests. Hybrid simulation combines physical and virtual components, inputs and constraints to create a composite simulation system. Hybrid simulation enables the hard to model components to be tested in the lab.

FutureSteelVehicle's (FSV) objective is to develop detailed design concepts for a radically different steel body structure for a compact Battery Electric Vehicle (BEV). It also will identify structure changes to accommodate larger Plug-In Hybrid (PHEV) and Fuel Cell (FCEV) vehicle variants. The presentation will demonstrate seven optimized structural sub-systems that contribute to the program's 35 percent mass reduction goals and meet its safety and life cycle emissions targets. It will explain the advanced design optimization process used and the resulting aggressive steel concepts. Presenter Jody R. Shaw, US Steel

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.