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This paper describes a test of 2500 General Motors passenger cars equipped with anti-lacerative windshields and driven in rental fleets. It also de840391 scribes the laboratory tests conducted prior to the fleet installation of the test windshields. Evaluation of haze development caused by abrasion of the anti-lacerative surface will take several more years of exposure. Other test results have been encouraging, except for the difficulties encountered in the removal of stickers and decals from the inner surface.

This pager documents a one shift (10 hour) wind tunnel test program conducted on a Corvette C5 prepared for Sports Car Club of America (S.C.C.A.) World Challenge racing. The testing was conducted at the Canadian National Research Center in Ottawa, Canada. Specific areas of test included front fascia and under tray, rear air discharge, rear wing configuration and angle, B-pillar configuration, and ride height. Standard wind tunnel test procedures were followed. In total twenty-six separate configurations were evaluated. Data for front and rear lift, total drag, and lift/drag (L/D) ratio are provided for each test configuration. The cumulative effects of the aerodynamic changes evaluated in this program, calculated at 192 KPH (120 MPH), increased front down force by 318 N (72 Lb.), and rear down force by 770 N (173 Lb.). Lift/drag ratio was improved from -0.597 to -1.016. These changes increased total drag by 381 N (86 Lb.).

Indoor or laboratory testing of tire tread wear offers many advantages over vehicle fleet testing. Advances in test equipment capabilities and the technologies for defining and simulating meaningful tire loading histories has made indoor tread wear testing a reality. Tire loading histories are influenced by vehicle characteristics, wear course and driving style, and tire stiffnesses. Methods for independently characterizing each of these are reviewed. A simulation technique, TS-Sim, is also described that combines specific vehicle, course and tire characterizations to create a tire load history. The vehicle characterization is critical to the process since both wear rate and various forms of uneven and irregular wear are strongly dependent on vehicle suspension/steering characteristics and on dynamic load transfer behavior. The characterization process involves mapping the vehicle over a practical range of acceleration, deceleration and cornering maneuvers.

This paper discusses an analytical technique for computing the failure rate of steel springs used in automotive part applications. Preliminary computations may be performed and used to predict spring failure rates quickly at a very early stage of a product development cycle and to establish program reliability impact before commitment. The analytical method is essentially a combination of various existing procedures that are logically sequenced to compute a spring probability of failure under various operational conditions. Fatigue life of a mechanical component can be computed from its S-N curve. For steels, the S-N curve can be approximated by formulae which describe the fatigue life as a function of its endurance limit and its alternating stress. Most springs in service are preloaded and the actual stress fluctuates about a mean level. In order to compute an equivalent alternating stress with zero mean, an analytical method based on the Goodman Diagram is used.