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조재천(Jaecheon Jo),문남수(Namsu Mun),이기주(Kiju Lee),한인수(Insu Han),김종일(Jongil Kim),김희진(Heejin Kim) 한국자동차공학회 2012 한국자동차공학회 부문종합 학술대회 Vol.2012 No.5
Failure of the exhaust pipe can cause air pollution by reducing ability of exhaust gas purification and can cause noise pollution and ride degradation by reducing ability of noise isolation. Therefore, it should ensure high reliability of the product to meet the growing environmental regulations and the needs of consumers. However, under actual conditions of use, it spends a lot of time and cost in order to develop products of high reliability. Therefore, accelerated life test to estimate the relationship between stress and life is performed to predict the actual life from the observed data through tests of the product by promoting the failure of products in severe conditions than real use conditions. The purpose of this study is estimating lifetime of exhaust pipes through accelerated life test and to evaluate average life, failure rate and etc. in short term.
유동현(Donghyun Yu),정봉수(Bongsoo Jung),문남수(Namsu Mun),이강훈(Kanghun Lee),한인수(Insu Han),김종일(Jongil Kim),김희진(Heejin Kim) 한국자동차공학회 2012 한국자동차공학회 부문종합 학술대회 Vol.2012 No.5
Automotive exhaust system is composed of flange connected with exhaust manifold, bellows to absorb vibration of engine and road, muffler to reduce exhaust noise of engine, and pipes. The significant damage factors influencing the exhaust system life are thermal stress due to exhaust gas and repetition of complex load such as bending, torsion and tensile loads from engine and road. RLDA (Road Load Data Acquisition) is preceded to predict exhaust system durability life, but there are several problem like constraint of time and cost. So durability test simulating RLDA data is necessary. In this study, RLDA is performed at a proving ground in order to evaluate durability of exhaust system, and the obtained data is analyzed in order to select the most suitable for simulation durability test.
이기택(Kitaeg Lee),김성곤(Seonggon Kim),김영찬(Youngchan Kim),조상현(Sanghyun Cho),문남수(Namsu Mun),노윤식(Yunsik Ro) 한국자동차공학회 2011 한국자동차공학회 부문종합 학술대회 Vol.2011 No.5
The driving cycle is very important for testing vehicle. Because vehicle’s energy consumption and emissions are extremely sensitive to the operating cycle of vehicle. Recently, the green car is come out already in market, the green commercial vehicle currently is active in the process of researching, but we have not been driving cycle mode which was considering road conditions and driving pattern for commercial vehicle performance and fuel efficiency. In this paper, we proposed to develop the driving cycle using speed-acceleration linkage analysis method based on Gun-San city bus driving data acquisition. The proposed driving cycle is similar to the NEDC driving cycle. And then statistical analysis was carried out.