METHOD FOR PREDICTING DOOR CLOSING SPEED

To provide a method for predicting door closing speed that can predict the door closing speed of a door seal material to be evaluated without conducting actual vehicle tests.SOLUTION: A method for predicting door closing speed 1 includes: actual vehicle measurement step S1 in which an actual vehicle...

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Bibliographic Details
Main Author KAMIYA HIROSHI
Format Patent
LanguageEnglish
Japanese
Published 23.05.2024
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Summary:To provide a method for predicting door closing speed that can predict the door closing speed of a door seal material to be evaluated without conducting actual vehicle tests.SOLUTION: A method for predicting door closing speed 1 includes: actual vehicle measurement step S1 in which an actual vehicle is used to measure actual vehicle data pertaining to a door closing operation; actual vehicle data analysis step S2 in which measured vehicle data is analyzed to calculate a door closing speed-energy approximation formula; door seal material load measurement step S3 in which load measurement data pertaining to load characteristics of a door seal material to be evaluated is measured; load measurement data analysis step S4 in which the measured load measurement data is analyzed to calculate an approximation formula for door seal material loss energy per door; and door closing speed prediction calculation step S5 in which the calculated door seal material loss energy is substituted into a pre-analyzed door closing speed-energy approximation formula to predict and calculate the door closing speed when the door seal material is attached to the door.SELECTED DRAWING: Figure 1 【課題】実車テストを実施することなく、評価対象のドアシール材のドア閉まり速度を予測可能なドア閉まり速度の予測方法の提供を課題とする。【解決手段】ドア閉まり速度の予測方法1は、実車を利用し、ドア閉め操作に係る実車データを測定する実車測定工程S1と、測定された実車データを解析し、ドア閉まり速度-エネルギー近似式を算出する実車データ解析工程S2と、評価対象のドアシール材の荷重特性に係る荷重測定データを測定するドアシール材荷重測定工程S3と、測定された荷重測定データを解析し、ドアの一枚当たりのドアシール材損失エネルギー近似式を算出する荷重測定データ解析工程S4と、算出されたドアシール材損失エネルギーを、予め解析されたドア閉まり速度-エネルギー近似式に代入し、ドアシール材をドアに装着した場合のドア閉まり速度を予測し、算出するドア閉まり速度予測算出工程S5とを具備する。【選択図】図1
Bibliography:Application Number: JP20220181058