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The development of a plastic AIM (air intake manifold) is requested more rapidly to optimum design. But plastic AIM has many problems about burst, noise, and vibration. For solving these problems, CAE is useful to predict those performances and to find best shapes. When an AIM has a complex structure, it has much time to build CAE models for predicting various performances. Efficient CAE model making is an important task to reduce time to development of a plastic AIM. This paper presents our development process for a plastic AIM using CAD/CAE, and correlation to CAE prediction results and test results.

Airflow effect is one of the important functions demanded of a rear spoiler. It helps prevent mud or dust from swirling up behind the running vehicle, or in the case of driving in the rain or snow, helps prevent rain or snow from adhering to the rear window. During the design process, we often decide on the shape of a spoiler in a relatively short time, focusing primarily on its appearance. Therefore, we established a design method using the recently developed computational fluid dynamics (CFD) to determine the central cross sectional shape of a spoiler that produces a desired airflow effect. We verified its effectiveness through testing.