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Alloy Wheel용 저압 주조 A356-T6 합금의 기계적 특성
유봉준 ( Bong Jun Yoo ),김정호 ( Jeong Ho Kim ),윤형석 ( Hyung Seok Yoon ),어순철 ( Soon Chul Ur ) 한국주조공학회 2014 한국주조공학회지 Vol.34 No.1
The mechanical properties of low-pressure die cast (LPDC) A356-T6 automotive road wheels are evaluated and correlated with their corresponding microstructures. In this study, two types of alloy wheels processed using different LPDC gating system are investigated. The yield stress, tensile stress, and elongation values tested at room temperature are correlated with the secondary den-drite arm spacing (SDAS) with respect to the gating system, and are also compared with similar studies. The SDAS and precipitatesare examined using optical microscopy, scanning electron microscopy (SEM) and energy-dispersive spectroscopy. The phase infor-mation is also investigated using X-ray diffraction. Charpy impact tests are also performed from-100℃ to 200℃, and the fracture surfaces are examined using SEM. The impact energy is demonstrated to increase with increasing temperatures without exhibiting specific transition behaviors as in other nonferrous alloys. The fracture toughness is also evaluated using three point bend test with single-edged bend specimens. The obtained fracture toughness values are in good agreement with those in similar studies.
유봉준(Bongjun Yoo),배현우(Hyunwoo Bai) 한국자동차공학회 2015 한국자동차공학회 학술대회 및 전시회 Vol.2015 No.11
Under free vibration, the system oscillates at its natural frequencies which are dynamic characteristics of the structure specified by its stiffness and inertia properties. Modal analysis provides useful insight into the dynamic behavior of a structure. The vehicles are composed of many components which has their own natural frequencies. In case that the vehicle global mode is very close to a component’s mode in frequency, these 2 modes would be coupled and could cause a problem of noise and vibration. Especially when the component has considerable mass comparing to the total mass, the component mode can shift the vehicle global mode up or down. For this reason, we need to identify the vehicle global mode and the component modes and track their changes in the system. In this study, the component mode identification procedure is introduced. The battery system in the electric vehicle can be an example for this subject since the battery system is a large component which can influence the significant mode in the entire structure. This study shows the battery system’s mode which is identified and decoupled from the vehicle global mode to improve its performance.
유봉준(Bongjun Yoo),박광서(Kwangseo Park),이상윤(Sangyun Lee),김병훈(Byunghoon Kim),권우성(Woosung Kwon) 한국자동차공학회 2011 한국자동차공학회 학술대회 및 전시회 Vol.2011 No.11
Fuel economy is one of the prior factors to be considered by consumers. The Lock-up clutch is one way of improving fuel economy while it has a negative effect on NVH performance. It reduces slips in torque converters of automatic transmission vehicles, connecting a crank shaft directly with a drive shaft at relatively low rpm. In the meantime the impact, mainly noise and vibration, is transmitted to passengers. This study intends to show how to lower the vibration due to the Lock-up. DOE study is used to figure out which body panel affects the A/T performance the most and the Kriging method is applied to design DOE. A/T performance for each DOE case is obtained by running FE analysis of the full vehicle model. In addition, optimization provides the combination of panel thicknesses to fulfill the minimization of the total mass of panels. Finally, the effect which the changed panel thicknesses have on the other N&V performance is reviewed.
Road Noise 개선을 위한 CAE 기반 DFSS Study
권우성(Woosung Kwon),유봉준(Bongjun Yoo),김병훈(Byounghoon Kim),김인동(Indong Kim) 한국소음진동공학회 2011 한국소음진동공학회 학술대회논문집 Vol.2011 No.4
In the early phase of vehicle development, CAE is conducted as tool for vehicle performance assessment. To maintain acceptable road noise performance, solution for reduced vehicle sensitivity is required. Chassis interface dynamic stiffness characteristics are key component to isolating vibration and noise of road from the vehicle interior. This research provide how to set up the optimized dynamic characteristics under noise effect through DFSS study. CAE-based DOE is performed to build prediction math model, CMS process involves DOE to achieve very fast run times while giving results very comparable. Minimized 95<SUP>th</SUP> percentile of performance distribution is applied to minimize vehicle sensitivity and road noise levels variation during the optimization process. Finally, the results of optimization were reviewed for performance and robustness.
로드 노이즈 개선을 위한 전산응용해석 기반 DFSS 연구
권우성(Kwon, Woo-Sung),유봉준(Yoo, Bong-Jun),김병훈(Kim, Byoung-Hoon),김인동(Kim, In-Dong) 한국소음진동공학회 2011 한국소음진동공학회 논문집 Vol.21 No.7
In the early phase of vehicle development, CAE is conducted as tool for vehicle performance assessment. To maintain acceptable road noise performance, solution for reduced vehicle sensitivity is required. Chassis interface dynamic stiffness characteristics are key component to isolating vibration and noise of road from the vehicle interior. This research provide how to set up the optimized dynamic characteristics under noise effect through DFSS study. CAE-based DOE is performed to build prediction math model, CMS process involves DOE to achieve very fast run times while giving results very comparable. Minimized 95th percentile of performance distribution is applied to minimize vehicle sensitivity and road noise levels variation during the optimization process. Finally, the results of optimization were reviewed for performance and robustness.
실험계획법을 이용한 CAE기반 Road Noise 개선 연구
권우성(Woosung Kwon),유봉준(Bongjun Yoo),김병훈(Byounghoon Kim),박광서(Kwangseo Park) 한국자동차공학회 2010 한국자동차공학회 학술대회 및 전시회 Vol.2010 No.11
In the early phase of vehicle development, CAE is conducted as tool for vehicle performance assessment. To maintain acceptable road noise performance, solution for reduced vehicle sensitivity is required. Chassis interface dynamic stiffness characteristics are key component to isolating vibration and noise of road from the vehicle interior. This research provide how to set up the optimized dynamic characteristics under noise factors. CAE-based DOE is performed to build prediction math model, CMS process involves DOE to achieve very fast run times while giving results very comparable. Minimized 95<SUP>th</SUP> percentile of performance distribution is applied to minimize vehicle sensitivity and absolute road noise levels variation is during the optimization process. Finally, the results of optimization were reviewed for performance and robustness.