Browse Topic: Weather-stripping

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Side Crash Pressure Sensor Prediction: An Improved Corpuscular Particle Method2012-01-00434/16/2012
In an attempt to predict the responses of side crash pressure sensors, the Corpuscular Particle Method (CPM) was adopted and enhanced in this research. Acceleration-based crash sensors have traditionally been used extensively in automotive industry to determine the air bag firing time in the event of a vehicle accident. The prediction of crash pulses obtained from the acceleration-based crash sensors by using computer simulations has been very challenging due to the high frequency and noisy responses obtained from the sensors, especially those installed in crash zones. As a result, the sensor algorithm developments for acceleration-based sensors are largely based on prototype testing. With the latest advancement in the crash sensor technology, side crash pressure sensors have emerged recently and are gradually replacing acceleration-based sensor for side impact applications. Unlike the acceleration-based crash sensors, the data recorded by the side crash pressure sensors exhibits lower frequency and less noisy responses which is more conductive for CAE prediction. In the attempt to predict the side crash pressure sensor responses, fourteen different benchmark tests were designed and conducted to provide data for model validations. The fourteen benchmark tests can be divided into three sets based on the structure designs. The first set of benchmark tests included a rectangular rigid container with one side being compressed while all other sides were fixed to simulate a piston compression condition. The second set of benchmark tests contained a rigid impactor or a deformable barrier hitting a rectangular steel box with and without a hole. Different speeds were chosen in the second set of benchmark tests to obtain the corresponding pressure responses. The third set of benchmark tests involved a rigid impactor or a deformable barrier hitting a real vehicle side door with different openings. In the baseline door test, the window weather strip and speaker were kept and all holes in door inner were closed to represent a production door. To ensure the robustness of CAE predictions for different door designs, the window weather strip was removed and some holes in the door inner were opened in some of the door benchmark tests. Computer models were created according to the corresponding test conditions. The CPM method originally developed in LS-DYNA to simulate the deployments of side air bags and side air curtains was adopted and improved in this research to predict the responses of the side crash pressure sensors. One of the main purposes of adopting such method in this project is trying to expand the application of the CPM method to problems that do not involve inflators. With major improvements in the CPM method through this research in the past two years, not only the responses of side crash pressure sensor can be predicted but also the computation time required to complete such simulations has been shortened. The development of the modeling methodology to predict the responses of the side crash pressure sensors will also make it possible to use computer simulations as part of side crash sensor development and results in more robust sensor firing algorithm.
Tyan, TauMcClain, BenArthurs, KirkRupp, JeffreyGhannam, MahmoudBauch, DavidClark, ToddBhalsod, DilipWang, Jason
Modeling of Airborne Tire Noise Transmission into Car Interior by Using the Vibro-acoustic Reciprocity and the Boundary Element Method9720465/20/1997
In this paper, the vibro-acoustic transmission characteristics are investigated in the view point of the airborne noise in the interior cavity due to the tire wall vibrations. The analysis is carried out by categorizing the airborne noise transfer path into the two separate consecutive events. First, the noise transfer from the vibrating tire wall to the exterior car panels is modeled by using the direct boundary element method (BEM). To this end, after discretizing the whole geometry of exterior body panels, tires, and ground into BEM models, vibro-acoustic transfer characteristics are investigated at several frequency components associated with the cavity resonances of tire. Here, cavity resonance frequencies of tire are estimated by BEM and the distribution of tire wall vibrations excited by a special vibro-acoustic source is measured at those frequencies. Acoustic pressure distribution over the exterior car panels can thus be predicted and the contribution of local vibrational velocity of tire wall to car panels are estimated by the vectorial summation of resultant acoustic pressures. Second, vibro-acoustic transfer functions between the various points of car panels and the receiver's ear position in the car interior is measured by utilizing the vibro-acoustic reciprocity principle. Combining these two transmission path models in series, the airborne noise transmission from tire wall vibration to driver's ear can be analyzed. From the results, contributions of tire wall vibration to the interior noise can be estimated and the main possible transmission paths of airborne tire noise can be identified.
Ih, Jeong-GuonKim, Bong-Ki
Variation simulation analysis is a technology that has achieved broad popularity in the automobile, appliance, electrical machinery and other industries as a method of predicting and analyzing manufacturing variation due to tolerances of individual components and assembly operations. The technology is widely considered to be the only method to accurately analyze three dimensional variation problems. Recently, a substantial body of work has been developed which indicates that variation simulation analysis can provide major advantages over traditional methods even on two dimensional problems. Variation simulation analysis uses the Monte Carlo method to accurately simulate the effects of each individual tolerance distribution and complex relationships between individual tolerances can be defined. This article will go on to provide several examples of the variation simulation analysis method as applied to two dimensional parts and compare the results to traditional methods to demonstrate the accuracy improvements which can be achieved.
Sitko, Anthony G.
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