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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.

Parts, such as bolts, turbine wheels, discs, buckets, and blades, for high strength and oxidation resistance up to 1500 F when suitably heat treated.

This document defines an open encoding format for terrain databases. This format, when designed and implemented, will enable a quick, economic, and efficient use of Terrain Databases (TerrDBs). However, since industry does not require applications to be standardized, data interpretation is not addressed in this document.

This Digital Annex (DA) contains the current, full-PDF version of ARP5149B, Training Program Guidelines for Deicing/Anti-Icing of Aircraft on Ground, as well as .jpeg format files of Appendix D, Application Guidelines Configuration, Critical Component, and Spray Area Diagrams for Aircraft. The .jpeg diagram files may be used by purchasers in accordance with the terms of the included license agreement.

Consumers design different PHEVs than expert analysts assume. Experts almost uniformly assume PHEVs that offer true all-electric driving for 10 to 60 miles; consumers are more likely to design PHEVs that do not offer true all-electric driving and have short ranges over which they use grid-electricity. Thus consumers? PHEV designs are less expensive. These consumer PHEV designs do, or don?t, produce lower GHG emissions than experts? PHEVs over the next ten years. The devil is in the details, i.e., which powerplant emissions to assign to new electricity demand: marginal or average. If (based on marginal powerplant emissions) it makes almost no difference whether we sell consumer-designed or expert-assumed PHEVs over the next ten years, yet as the grid continues to de-carbonize all-electric PHEV designs emerge as clearly the better option, there is a trajectory we could be on from blended, ?short range? PHEVs to all-electric ?long range? PHEVs.

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.

Main topics are the development and the build-up of an 18ton hybrid truck with a parallel hybrid drivetrain. With this truck it is possible to drive up to 3 kilometers in the pure electric driving mode. Presenter Andreas Eglseer, Engineering Center Steyr GmbH & Co. KG