主催: 一般社団法人 日本機械学会
会議名: Dynamics and Design Conference 2019
開催日: 2019/08/27 - 2019/08/30
Recently, principal component (PC) contribution analysis using operational TPA has been proposed, and it enable us to grasp the body vibration behavior of the target vehicle affecting significantly to the interior noise. However, in case the target vehicle has a frame, identifying which part between the frame and the body had better to be measured intensively to reduce the interior noise effectively is difficult. In this study, we considered a method informing us to identify the high contributing part utilizing PC contribution analysis and the original OTPA sequentially. In the test, a simple vehicle model was employed and random signal was given to the tire. The interior noise and the vibration acceleration signals at multiple points of the body and frame were recorded simultaneously. In the first analysis, the high contribution body vibration behavior to the interior noise was extracted. In the second analysis, the high contribution frame vibration to the high contributing body mode was analyzed. Through these analyses, the main factor increasing the interior noise was estimated. In addition, the countermeasure according to the estimated main factor was considered using CAE technique. As the result, the interior noise could be decreased well by applying the countermeasure to the obtained main factor.
