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The modeling of plastic fuel tank systems for crash safety applications has been very challenging. The major challenges include the prediction of fuel sloshing in high speed impact conditions, the modeling of multilayer thermoplastic fuel tanks with post-forming (non-uniform) material properties, and the modeling of tank straps with pre-tensions. Extensive studies can be found in the literature to improve the prediction of fuel sloshing. However, little research had been conducted to model the post-forming fuel tank and to address the tension between the fuel tank and the tank straps for crash safety simulations. Hoping to help improve the modeling of fuel systems, the authors made the first attempt to tackle these major challenges all at once in this study by dividing the modeling of the fuel tank into eight stages. An ALE (Arbitrary Lagrangian-Eulerian) method was adopted to simulate the interaction between the fuel and the tank.

Experimental forms of two different types of engine oil viscosity sensors have been tested that use uniformly poled disks of piezoelectric PZT ceramic. In both cases, the disks were used to form electromechanical resonators functioning as the frequency-controlling element in a transistor oscillator circuit. The simpler type of sensor used only one disk, vibrating in a radial-longitudinal mode of vibration. In this mode, a disk 2.54 cm in diameter and 0.127 cm thick had a resonant frequency of approximately 90 kHz. The second type of sensor used two such disks bonded together by a conducting epoxy, with poling directions oriented in opposite directions. This composite resonator vibrated in a radially-symmetrical, flexural mode of vibration, with the lowest resonant frequency at approximately 20 kHz. The presence of tangential components of motion on the major faces of both resonators made them sensitive to the viscosity of fluids in which they were immersed.

When considering ride comfort and precision there are lots of components in the vehicle suspensions that have influence in this behavior and some ride occurrences (mainly higher frequencies) are rubber bushing responsibility but due their compliance, other vehicle attributes, steering and handling, can be affected. So the correct components tuning can maintain or improve vehicle attributes to address desired brand DNA and vehicle its specific needs. These studies were done considering the elastokinematics of front axle only due need of improve its comfort concerning higher frequencies (impacts and harshness). In addiction, correlation between subjective evaluation and objective data acquisition/post processing is desirable to optimize development time. Based in subjective directional, the activities time was reduced and final configuration reached faster.

Current road vehicles have tendency of use softer suspension springs to improve ride comfort, but as a moving device with suspension system, vehicles have other parts that can affect attributes for comfort perception, and is necessary the correct definition of which one should be modified to address the comfort issue and avoid impact in attributes for stability. Usually springs are not the main responsible for bad comfort behavior, but shock absorbers and bushings are. A typical passenger car shows a wide possibility of loads carriage and how to set up correctly the suspensions considering its tradeoffs and brand DNA is the main issue.

This work presents a statistical approach for simulation based on Monte Carlo method. As an exercise of the method a CAE vehicle dynamics model was specifically created to evaluate the likelihood to meet a given target driving a maneuver for given inputs variations. In the exercise, three different inputs were chosen as stochastic inputs (also called noise factors) and all relevant information about their statistics has been raised, based in components information. The chosen inputs are: front/rear dampers curves, front/rear ride heights and tire surface temperature. A brief description of the Monte Carlo technique is presented. The choice of this method is due to the reduced number of simulations required to have a given accuracy in comparison with other approaches, especially for multivariable system. As output variable for the exercise, the tire patch height was chosen and the resulting probability density function of it is presented.

Several shortcomings of mechanical door checks are overcome using a magnetorheological damper. Because the damper is electrically actuated, it can check in any desired position. The logical decision to activate or release the door check can be made either by passive circuitry based on input signals from switches attached to door handles or under microprocessor control, in which case the decision can take into account a variety of unconventional input factors, including the magnitude of the force applied to the door, the rate of change of the applied force, and the angle of door opening. With the addition of an appropriate proximity sensor, the controllable damper can prevent the door from inadvertently hitting a nearby obstacle. Details of the damper mechanism are described, and several implemented control strategies, both passive and microprocessor based, are discussed.

Using the results of Constant Temperature (CT) Permeation Measurements to estimate Real Time Diurnal (RTD) permeation emissions has a number of practical advantages. In particular, Constant Temperature measurements are easier to set up and control in a laboratory environment, and Constant Temperature measurements provide for data checks using simple self-consistency tests that are not possible with Real Time Diurnal measurements. Furthermore, there is no need to repeat permeation measurements for each separate real-time temperature profile of interest. The same two Constant Temperature measurements can be used to estimate permeation performance for many different temperature cycles - for example, the temperature cycles prescribed by CARB, EPA, and EEC, or the different temperature profiles experienced by separate fuel system components during a vehicle SHED test.

The intent of this paper is to summarize the work of the V8 power plant intake manifold radiated noise study. In a particular V8 engine application, customer satisfaction feedback provided observations of existing unpleasant noise at the driver's ear. A comprehensive analysis of customer data indicated that a range from 500 to 800 Hz suggests a potential improvement in noise reduction at the driver's ear. In this study the noise source was determined using various accelerometers located throughout the valley of the engine and intake manifold. The overall surface velocity of the engine valley was ranked with respect to the overall surface velocity of the intake manifold. An intensity mapping technique was also used to determine the major component noise contribution. In order to validate the experimental findings, a series of analysis was also conducted. The analysis model included not only the plastic intake manifold, but also the whole powertrain.

As automotive manufacturers continue to increase their use of thermoplastics for interior and exterior components, there is a likelihood of squeaks due to material contacts. To address this issue, Ford's Body Chassis NVH Squeak and Rattle Prevention Engineering Department has developed a tester that can measure friction, and any accompanying audible sound, as a function of sliding velocity, normal load, surface roughness, and environmental factors. The Ford team has been using the tester to address manufacturing plant issues and to develop a database of polymeric material pairings that will be used as a guide for current and future designs to eliminate potential noise concerns. Based upon the database, along with a physical property analysis of the various plastic (viscoelastic) materials used in the interior, we are in the process of developing an analytical model which will be a tool to predict frictional behavior.

A new experimental methodology has been developed to quantify spindle loads of a vehicle under actual operational conditions. The methodology applies an indirect six degree-of-freedom (6 DOF) frequency response function (FRF) measurement technique to obtain three translation/force and three rotation/moment FRFs of the suspension system of the vehicle. The Inverse Frequency Response Function (IFRF) method estimates the spindle loads under operational conditions. The feasibility and applicability of the developed methodology for vehicle road NVH applications was experimentally demonstrated. The results show that the methodology provides accurate spindle load estimation over a broad frequency range. This methodology can be used for benchmarking and target setting of spindle loads to achieve desired road NVH performance as well as for diagnosing root causes in problem solving applications.

The paper presents the systematic approaches toward robust stability analysis of H2/H∞ controlled active suspension systems. The computational algorithms for the structured singular value μ are the main features of the work with an emphasis on quantifying the effects of uncertainty of the systems. The representation of vehicle parameter uncertainties is given in detail. The robustness test is subsequently done based on a quarter vehicle model. The results have showed that the H∞ controller is the best one on both robust stability and robust performance.

A stochastic simulation based on the Monte-Carlo method was developed to re-target gap bulk density (GBD) in ceramic catalytic converters. The combined effect of manufacturing tolerances, shell spring back and thermal expansion was analyzed by this model. Shell spring back during the canning process was calculated using Finite Element Analysis (FEA). Thermal shell expansion was obtained using can deformation data from the Key-Life Test (KLT). An example of optimized GBD that provides a robust and manufacturable design is also presented.

In this paper we describe the application of optimization techniques to the design of valvetrains in high revving internal combustion engines. The methods presented are based on parameter optimization [1] and the minimum principle by Pontrjagin [2] and will be applied to cam lobe and valve spring optimization, aiming at reducing oscillation amplitudes and improving control of the valvetrain over a broad speed range. To put the task of optimization into context the engineering requirements for valvetrains and methods to allow their computer based analysis are described. Furthermore principle considerations for valve event curve generation and parametrization, and on optimization techniques are discussed. Based on these fundamentals, optimization aims and constraints are formulated. Furthermore different examples of the application of automated optimization are presented in the area of cam profile optimization and valve spring optimization.

Properties of thermoplastic bumpers made of polycarbonate (PC) and polybutylene terephthalate (PBT) blend were evaluated after several years of service in the field. In this study we measured the Izod impact strength, PC molecular weight, and melt flow rate of bumpers collected from various geographical areas in the U.S. Generally, the system had good impact resistance after more than five years of service in the field, retaining most of the original impact strength. There were small changes in PC average molecular-weights and melt flow rates. The results showed that changes depended on both exposure time and the weather conditions of the environment.

Numerical simulation techniques are commonly used to assess the crash performance of automobiles and guide their design during the development stage. Mathematical models of vehicle structures, restraint systems and dummies are developed and verified under different test conditions to ensure an effective usage during their application in the study of a crash situation. This paper describes the development and validation of a finite element model of the US Department of Transportation (DOT) side impact dummy (SID). The geometry of the dummy parts is represented by shell and solid elements created from a digital scan of the dummy and the material properties are derived from quasi-static tests of each component. Springs and rigid bodies are added to represent the shock absorber and certain rigid parts such as the femur and ilium. The model verification is carried out by subjecting the dummy to twenty four impact conditions and comparing the simulations to test results.

In this paper, models for valve spring dynamics are presented which cover: (i) A simple modal approach for linear valve springs. (ii) A detailed discrete non-linear model which is able to predict all important effects in progressive valve springs, including clash of interfering coils. (iii) A new approach to handle a modal model of progressive springs in the frequency domain. On the testing side, the development of specially designed transducers to back up the theoretical results is presented and the measured results are compared to the results from the different models.

Improvements in clamp load retention of fastened joints in instrument panels are desired by automotive OEMs to minimize warranty claims due to squeak and rattle problems. The decrease in torque retention of these plastic boss and metal fastener joints over time and temperature cycling was described in a previous SAE technical paper.1 This loss in clamp load retention (which is another measure of joint durability), as measured by torque, was shown to be affected by differences in the thermal expansion rates of the captured materials. The purpose of this paper is to further quantify these differences by using strain gages to measure the thermal expansion rates and dimensional changes of the joint's various components: metal fastener, molded plastic boss, and captured material.

Thermoplastics and composites are increasingly becoming popular among automotive design engineers because of their high specific stiffness and flexibility in manufacturing. While plastics like composites are orthotropic, unfilled thermoplastics like ABS Cycolac may be considered isotropic as they show little variation in properties between the flow direction and the direction transverse to the flow. However, this assumption is not enough to treat the latter as metals in finite element analysis. Metals like mild steel, offer considerable ductility, while thermoplastics show limited ductility and begin to fracture with several cracks appearing on the surface. Therefore, in the case of such plastics, it is important to consider the degradation of material properties in nonlinear finite element analysis using Damage Mechanics material law.

The Laser Ride Height Measurement and Calibration System measures and calibrates the ride height of a vehicle equipped with electronic suspension. The existing process of setting ride height is labor intensive and imprecise leading to vehicles that lean, have improper attitude, and suffer from alignment drift and pull. The proposed Machine and Process will impart the correct appearance and ride height to every vehicle which undergoes this test. A similar process can be used to measure the ride height of vehicles equipped with passive springs.

Painting is the most difficult, the most costly, and the most polluting step in manufacturing vehicles. When low weathering performance paints are used, the results are dissatisfied customers, and huge warranty costs. It would obviously be wise to fully characterize the weathering performance of new coatings systems before they are used. Unfortunately this is not always practical. Coating formulations are changing rapidly in the States to comply with solvent emission regulations, the introduction of plastic substrates, and customer tastes. There is rarely enough time to wait ten years for outdoors exposure tests to reveal the "true" weathering performance of coatings before marketing vehicles. As a result, accelerated tests are often used to guide decisions. However, the results of such tests can be misleading because the harsh exposure conditions used can distort the chemistry of degradation.