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A new index for evaluating load path dispersion is proposed, using a structural load path analysis method based on the concept of U* , which expresses the connection strength between a load point and an arbitrary point within the structure enables the evaluation of the load path dispersion within the structure by statistical means such as histograms and standard deviations. Presenter Tadashi Naito, Honda R&D Co., Ltd.

The System Architecture Virtual Integration (SAVI) program is a collaboration of industry, government, and academic organizations within the Aerospace Vehicle System Institute (AVSI) with the goal of structuring a new integration process that relies on a single-truth architectural framework. The SAVI approach of Integrate, then Build provides a modern distributed development environment which arrests the propagation of requirements errors through the development life cycle. It does so by capturing design assumptions and shared properties of the system design in an authoritative, annotated architectural model. This reference model provides a common, analyzable framework for confirming that system requirements remain complete, consistent, and correct at all levels of system decomposition. Core concepts of SAVI include extensive use of model-based system engineering tools and use of a single-truth reference architectural model.

In any new aircraft development program there are many important design decisions that determine profitability potential. The key to making new aircraft profitable is to design features that will command more money than the cost to provide them within the market's ability to absorb them. The business model in this paper shows how to predict or find: 1) the costs to provide various aircraft features; 2) the values that aircraft buyers place on these features; 3) the amount of money that buyers have to commit to them, 4) the open spaces in the market in which to place new designs and 5) the predicted profits from new designs. In this process, this paper extends previous work on the law of value and demand, which states that attributes determine value; value determines price; and that price determines demand. This four-dimensional, non-negative system hosts a business model that describes the features needed to enable aircraft designs to go from concepts to profitable assembly lines.

Many manufacturing companies want to apply AFP technology to complex high-curvature part shapes. As new AFP machine technologies are developed to specifically apply material over complex shapes, new and innovative NC programming approaches are needed to successfully, reliably, and accurately apply material with good consolidation, while meeting the fiber direction and coverage requirements. A big issue with AFP is the production rate vs. part complexity. Most complex shapes can be created with a single .125? wide strip (tow) of material. But the production time would be impractically long. So machine builders create 6, 8, 16, even 32 tow AFP heads, and use the widest tow possible for the highest laydown rates. But then wide compaction rollers on these systems have difficulty consolidating material over curved surfaces, and the minimum steering radius of wider tows challenge the software?s ability to meet the layup requirements.

In a variety of industries there is a growing need to manufacture high quality carbon fibre epoxy matrix composite structures at greater production rates and lower costs than has historically been the case. This has developed into a desire for the automation of the manufacture of components, and in particular the lay-up phase, with Automated Tape Laying (ATL) and Fibre Placement (AFP) the most popular choices. When used for large primary structures there are such potential gains to be had that both techniques have seen rapid implementation into manufacturing environments. But significant concerns remain and these have limited their wider adoption into secondary structure manufacturing, where manual forming of woven broadgoods is dominant. As a result the manufacture of secondary structures is generally explored for costs reduction through drape simulation and lower cost materials.

In “The Impact of Additive Manufacturing in Automotive Applications”, a professor from Kettering University explains why additive manufacturing will be a game changer for car makers, and how process control is one of the biggest challenges ahead. An engineer at Local Motors in Arizona shows how the company builds its cars using a large-scale 3D printer, including how a variety of materials is being evaluated for optimal performance in this type of application. The episode highlights: The expected positive impact of AM on smaller car makers and suppliers The key difference between small 3D printers and large-scale ones The need to find the best possible material combination so vehicles that are #D-printed are as safe as traditional ones Also Available in DVD Format To subscribe to a full-season of Spotlight on Design, please contact SAE Corporate Sales: CustomerSales@sae.org or 1-888-875-3976.

With automotive electrification, the electric machines show a tendency to share or even replace the dominant role of internal combustion engines in future vehicles. Besides the design and innovation of different electric machines to meet the needs of powertrain and drivetrain performances, high volume production becomes a challenging topic and an un-avoided requirement. Flexible line and sharing line will help the variation of production rate and volume, while the dedicated unique line contributes to large scale of E-motor production. Supplier chain from raw materials, parts to processes has to be built from ground-zero or low grade to mature stage within quality specification and time limitation. Multi function skills, cross area technologies and complex management etc are all required for E-motor manufacturer to grow up with component and equipment suppliers. Reducing cost, improving quality and guaranteeing safety are always the thematic series.

Automakers, suppliers, public agencies, interest groups and others are increasingly embracing the environment as one of the dominant forces in the US automotive market. All parties have a strong vested interest in understanding how environmental concerns will influence design, production, marketing and usage of tomorrow�s vehicles. A common need of all parties is independent and actionable information to enable them to make better decisions and have the greatest chance of being successful in this uncertain future. Four factors - an uncertain economic climate; a constantly changing governmental regulatory system; advancements in powertrain technology; and ever-present environmental concerns - continue to shape the automotive landscape. While automakers are focused on developing alternative powertrains and alternative fuel options for an increasingly �green� vehicle market, J.D.

Presented by: Dan Ott Web Industries Director, Business Development, Advanced Composites Market With the growth of Fiber Placement technology as a preferred automation technology in aerospace manufacturing and the rapid growth of new production line installations, it is crucial to provide material in a form which meets all necessary specifications and supports the optimum productivity available from this major capital investment made by the producer of the parts. Achieving these goals happnes when the part designer, AFP machine builder, and the slit tape producer design the best process and format which provides smooth, efficient and rapid delivery of the prepreg slit tape to the Fiber Placement laydown head. Tape size (width), slit width tolerance, spool shape and size, density of prepreg on the spool, spool change-over and handling processes all play a factor in productivity, and creating (or inhibiting) the best ROI on a full-scale AFP production line.

There are worldwide activities in developing guidelines and standards for fiber optic sensors. Fiber optic sensors (FOS) are increasingly demanded for structural health monitoring purposes and for measurement of physical and chemical quantities because of their specific features. However, they are not yet widely established for practical use due to a lack of guidelines and confirmed standards. Therefore, there are few groups worldwide which are very active in developing standards for use of FOS in different fields, particularly driven from aircraft industry, oil industry or the necessity to provide sensor systems for health monitoring of structures with a certain level of risk. The benefits of guidelines and/or standards on the way to well-validated and well-specified sensor systems will be presented by means of related examples. The presentation will also give an overview on the state-of-the-art and most relevant activities. Results achieved are discussed.

At the end of 2006, two MTorres engineers visited the plant of Airbus UK in Filton receiving a new challenge: Find a more efficient way to manufacture Carbon Fiber Spars for the new A350 program. The range of possibilities were wide: manual infusion methods (RTM, RIM, RFI...), Automatic Taping & hot forming, or the new technology proposed, Fiberplacement or AFP. Two (2) options were considered: hot forming+ATL and AFP (both using prepeg technology.) The usage of a flat lay-up + hot forming technology was used in the only Airbus program that used carbon fiber for the wing manufacturing so far, the A400M. The expected greater complexity of A350 spar created doubts on the feasibility of using the above process, while the AFP technology, consisting of laying up directly on the final shape of the spar, also raised questions of technical feasibility, apart from the economic ?business case?, in case the productivity of the cell was not big enough. A ?Spar team?

Those who are concerned about access to rare earths and other critical minerals for EV powertrains are focused on the exact wrong problem. Mr. Thomas discusses why it's control of process technology, not the raw ores themselves, that dictates cost, availability and performance. Presenter Lawrence B. Thomas, Primet Precision Materials

This technical paper collection discusses the modeling, analysis, and validation of commercial vehicle chassis, suspension, and tire modeling and simulation. Topics include commercial vehicle dynamics; chassis control devices such as ABS, traction control, yaw/roll stability control, and their interaction with suspension controls; modeling and simulation of ride comfort, as well as passive and active suspension control methodologies. Authors are encouraged to discuss the validation of their modeling and simulation.

Abstract The project of lean management is implemented in General Motors India Private Limited, Pune, India plant. The aim of the project is to improve manpower utilization by removing seven types of wastes using lean management system in kitting process. Lean manufacturing or management is the soul of Just-In-Time philosophy and is not new in Automobile manufacture sector where it born. Kitting area is analogs to the modern supermarket where required components, parts, consumables, subassemblies are kept in bins. These bins are placed in racks so that choosing right part at right time can be achieved easily. Video recording, in-person observation, feedback from online operators and other departments such as maintenance, control, supply chain etc. are taken. It is observed that the work content performed by current strength of operators can be performed by less number of operators. After executing this project, it was possible to reduce one operator and increase manpower utilization.

Abstract A number of studies have shown that driving an unfamiliar vehicle has the potential to introduce additional risk, especially for novice drivers. However, such studies have generally used statistical methods based on analyzing crash and near-crash data from a range of driver groups, and therefore the evaluation has the potential to be subjective and limited. For a more objective perspective, this study suggests that it would be worthwhile to consider vehicle dynamic signals obtained from the Controller Area Network (CAN-Bus) and smartphones. This study, therefore, is focused on the effect of driver experience and vehicle familiarity for issues in driver modeling and distraction. Here, a group of 20 drivers participated in our experiment, with 13 of them having participated again after a one-year time lapse in order for analysis of their change in driving performance.

Abstract Introduction: This study evaluates driving ability in those with Charcot Marie Tooth Disease Type 1A, a hereditary peripheral neuropathy. Methods: Individuals with Charcot Marie Tooth Disease Type 1A (n = 18, age = 42 ± 7) and controls (n = 19; age = 35 ± 10) were evaluated in a driving simulator. The Charcot Marie Tooth Neuropathy Score version 2 was obtained for individuals. Rank Sum test and Spearman rank correlations were used for statistical analysis. Results: A 74% higher rate of lane departures and an 89% higher rate of lane deviations were seen in those with Charcot Marie Tooth Disease Type 1A than for controls (p = 0.005 and p < 0.001, respectively). Lane control variability was 10% higher for the individual group and correlated with the neuropathy score (rS = 0.518, p = 0.040), specifically sensory loss (rS = 0.710, p = 0.002) and pinprick sensation loss in the leg (rS = 0.490, p = 0.054).

Abstract This work introduces the concept of a dual-layer specification structure for standards that separate interoperability functions, such as backward compatibility, localization, and deployment, from those essential to reliability, security, and functionality. The latter group of features, which constitute the actual standard, make up the baseline layer for instructions, while all the elements required for interoperability are specified in a second layer, known as a Protocols, Operations, Usage, and Formats (POUF) document. We applied this technique in the development of a standard for Uptane [1], a security framework for over-the-air (OTA) software updates used in many automobiles. This standard is a good candidate for a dual-layer specification because it requires communication between entities, but does not require a specific format for this communication.

Abstract Surface roughness is one of the important aspects in producing quality die. Wire Electrical Discharge Machine (WEDM) is commonly used in tool and die fabrication, since the die material is usually difficult to cut using traditional metal removal processes. Selection of optimal WEDM cutting parameters is crucial to obtain quality die finish. In this study, 2379 steel which equivalent to SKD 11 is selected as the die material. Four main WEDM cutting parameters, namely, pulse duration (A), pulse interval (B), servo voltage (C), ignition pulse current (D), were experimentally evaluated for both main cut and multiple trim cuts using Taguchi Method. Taguchi’s L9 orthogonal array is employed for experimental design and analysis of variance (ANOVA) was used in recognizing levels of significance of WEDM cutting parameters.

Abstract In this work, optimal modeling parameters for self-pierce riveting (SPR) were determined using a factorial design of experiments (DOE). In particular, we show statistically how each of the calibrating parameters used in modeling the SPR process through nonlinear finite element modeling can drastically change the geometry of the joint. The results of this study indicate that the degree of interlock, which is a key feature of a sound joint, is largely influenced by the friction between the die and bottom sheet as well as the friction between the rivet and top sheet. Furthermore, this numerical study also helped elucidate the role of friction in SPR and sheds light on how coatings with diverse friction coefficients can affect material deformation and ultimately structural integrity of the joint.

This paper presents a review on pedestrian impact reconstruction methodology and offers a comprehensive review of the literature. Several types of analyses are discussed which can be used to reconstruct the accident scenario using the facts collected from the scene. Inclusive in this review is the utilization of skid mark analysis, debris analysis, injury/damage match-up, trajectory analysis, nighttime visibility, and alcohol effects. The pedestrian impact reconstruction methodology is illustrated with a real world case example to point out different observations which can provide insight into the pedestrian/vehicle collision reconstruction approach. The literature review provides a broad foundation of information on pedestrian impact reconstruction and can be used to supplement the techniques presented in this paper in areas related to pedestrian impact. Research advances in the area of pedestrian impact reconstruction are also discussed in this paper.