• Transactions of the Korean Society of Mechanical Engineers A
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• v.40 no.6
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• pp.595-602
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• 2016

An automotive wheel bearing is important part that translates rotating motion and bears vehicle weight. Recently, in accordance with the demands for $CO_2$ emission reduction and fuel economy regulation, the requirements for the weight reduction and miniaturization of vehicles has increased. Therefore, life evaluation technology of the bearings has increased in necessity. Since the bearing life is affected by many parameters such as bearing geometry, bearing specifications, and vehicle specifications, it is difficult to predict. In this paper, the bearing life was tested by varying the applied load and rotation speed and comparing them with the basic rating life and modified rating life that were suggested in ISO standards. From the results, it was found that there was a difference between the test life and theoretical life and modified rating life than basic rating life was to be relatively well predicted by test life.

• Superconductivity and Cryogenics
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• v.1 no.2
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• pp.38-48
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• 1999

용융공정으로 제조한 YBCO 고온 초전도체는 임계전류밀도가 높기 때문에 외부자장을 강력하게 반발한다. 영구자석과 YBCO 초전도체간의 부상력을 이용하면 무접촉으로 회전할 수 있는 베어링을 제작할 수 있다 고온 초전도체 무접촉 베어링은 고에너지 효율의 플라이휠 에너지 저장장치에 활용된다. 초전도 베어링은 전자석을 이용한 자기 베어링에 비해, 위치 제어 시스템 없이 중량물을 공중에 띄워 회전시킬 수 있는 장점이 있다. 플라이휠 에너지 저장장치는 무공해의 환경 친화적인 기술로, 용량과 규모, 에너지 입출력 양과 시간을 조절하기 쉽다. 또한, 장소설정에 제한이 없으므로 에너지를 필요로 하는 장소에 자유롭게 설치할 수 있고, 에너지밀도가 다른 저장시스템에 비해 상대적으로 높다. 현재 선진 각국에서는 에너지의 효율적 저장 및 활용을 위해 고온 초전도체 베어링을 이용한 플라이휠 에너지 저장장치를 국가적 중점 사업으로 개발 중이며 2000년 초에 실용화될 전망이다. 본 논문에서는 고온 초전도체의 자기 부상력, 플라이흴 에너지 저장장치의 개념설계 및 개발동향에 대해 요약하였다.

• Proceedings of the KIEE Conference
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• 2006.07b
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• pp.1213-1214
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• 2006

본 논문에서는 5 kWh급 초전도 플라이휠 에너지 저장장치(Superconductor Flywheel Energy Storage System : SFES)를 제작하고 시험운전을 통하여 회전 테스트를 수행하였다. 본 연구에서 사용된 초전도 베어링은 저널형 베어링으로써 액체 질소를 순환시켜 초전도체를 냉각시키고 휠을 부양시켜서 전동발전기를 통하여 회전시키게 된다. 액체 질소를 순환하였을 경우 초전도 베어링의 냉각특성을 고찰하였고, 전동 발전기를 이용하여 2000[rpm]까지의 회전 테스트가 수행 되었으며, 전동발전기의 동작 특성 및 회전시 휠의 궤적과 축진동 특성을 테스트 하였다.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.47-53
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• 2020

There is a need for a system that provides early warning of presence and type of failure of automobile wheel bearings through the application of predictive fault analysis technologies. In this paper, we presented a sensor module mounted on a wheel bearing and a diagnostic system that collects, stores and analyzes vehicle acceleration information and vibration information from the sensor module. The developed sensor module and predictive analysis system was tested and evaluated thorough excitation test equipment and real automotive vehicle to prove the effectiveness.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.37 no.11
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• pp.1323-1330
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• 2013

A wheel loader is a type of construction machinery that is capable of performing a variety of tasks, and demands on its functional diversity and structural reliability are growing. A wheel bearing is one of the core components that determine the life of the loader; taper roller bearings are commonly used for this purpose. The lifetime of a bearing is typically calculated based only on its load and revolution speed. The initial preload of a taper roller bearing is a critical factor that directly affects its endurance life. In this study, the relations between the endurance life and preload characteristics including the amount of preload according to the weight, rotational speed, and thermal modification applied to tapered roller bearings are presented. When the temperature is $100^{\circ}C$, an excessive preload condition is expected compared with that at room temperature, and the durable life decreases by 20.3 %.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.12
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• pp.1613-1618
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• 2012

The wheel bearing is one of the important parts in a vehicle for translating power and bearing weight. When it is mounted on the knuckle by using bolts, the distortion of the outer ring including the seal mounting point and raceway occurs. In this study, a numerical analysis was performed to analyze the distortion of the outer ring by using a finite element method. The commercial software MSC.MARC was used for this purpose. Elastoplastic and contact analysis were carried out to compute the clamping behavior of the outer ring, bolts, and knuckle. Because the concavity on the flange of the outer ring affects the deformation, its effect was considered. To verify the reliability of this study, the roundness of the outer ring was measured. The experimental results were comparatively in agreement with the computational results.

• Proceedings of the Materials Research Society of Korea Conference
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• 2012.05a
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• pp.93.1-93.1
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• 2012

세라믹 고온초전도체는 에너지 저장장치의 핵심소재로 사용된다. 초전도 플라이휠 에너지 저장장치(Superconductor flywheel energy storage system)는 전기 에너지를 운동 에너지로 변환하여 저장하는 친환경, 고효율 에너지 저장장치이다. 에너지를 최소화하는데 사용되는 초전도 베어링은 고온초전도체와 영구자석으로 구성된다. 베어링에는 희토류계 초전도 물질(RE-Ba-Cu-O, RE:Rare-earth elements)가 사용된다. 베어링의 효율은 영구자석의 자력크기, 초전도체의 자기부상력과 포획자력에 비례한다. 에너지 저장효율을 높이려면 고온 초전도체의 임계전류밀도(초전도체 내부에 흘릴 수 있는 전기량)를 높이고, 초전도 결정립의 크기를 키워야 한다. 결정크기를 키우는 공정으로 종자결정성장법(Seed growth process)이 사용된다. 초전도체 제조공정은 분말의 성형, incongruent melting을 포함하는 부분 용융, 액상에서의 입성장, 포정반응을 통한 초전도 결정의 성장과정을 포함한다. 본 발표에서는 초전도 에너지 저장장치의 기본 원리, 초전도 베어링의 구성, 베어링용 초전도체의 제조방법과 특성(자기부상력과 포획자력) 평가기술, 차세대 에너지 저장장치로서의 초전도 플라이휠 에너지 저장장치의 전망에 대해 요약하였다.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.1-8
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• 2023

If there is a defect in the wheel bearing, which is a major part of the car, it can cause problems such as traffic accidents. In order to solve this problem, big data is collected and monitoring is conducted to provide early information on the presence or absence of wheel bearing failure and type of failure through predictive diagnosis and management technology. System development is needed. In this paper, to implement such an intelligent wheel hub bearing maintenance system, we develop an embedded system equipped with sensors for monitoring reliability and soundness and algorithms for predictive diagnosis. The algorithm used acquires vibration signals from acceleration sensors installed in wheel bearings and can predict and diagnose failures through big data technology through signal processing techniques, fault frequency analysis, and health characteristic parameter definition. The implemented algorithm applies a stable signal extraction algorithm that can minimize vibration frequency components and maximize vibration components occurring in wheel bearings. In noise removal using a filter, an artificial intelligence-based soundness extraction algorithm is applied, and FFT is applied. The fault frequency was analyzed and the fault was diagnosed by extracting fault characteristic factors. The performance target of this system was over 12,800 ODR, and the target was met through test results.

• Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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• 1997.04a
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• pp.122-128
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• 1997

초전도체의 임계온도를 높이는 연구들이 수행되어 임계온도가 액체질소의 비등점(77K)보다 높은 산화물 고온 초전도체가 1986년에 발견되었고, 최근에는 $10^4A/cm^2$이상의 임계전류밀도를 갖는 덩어리형 고온 초전도체가 용융공정을 통해 개발되었으며, 산화물 고온 초전도체 $YBa_2 Cu_3 O_{7-y}$은 산소 조성이 7에 가까우며 임계온도가 95K로서 현재 가장 많이 사용되고 있다. 응용 분야로서는 수송분야, 의료분야, 전력분야, 그리고 기초과학분야등이 있고, 향후 상온 초전도체의 출현으로 인한 응용범위의 확대는 획기적일 것으로 예측되어 진다. 이중에 10$^{-8}$이하의 마찰계수를 갖는 초전도 마그네틱 베어링을 플라이휠 같은 에너지 저장장치에 적용시키는 연구가 국내외적으로 진행되고 있다. 여러 선진국에서는 용융공정된 초전도체를 이용하여 실험단계적인 플라이휠의 설계, 제작 및 성능실험을 진행중이거나 완성하였고, 제2단계 목표로서 실용화를 위한 대규모 플라이휠의 설계와 제작에 대한 연구가 진행중이다.

• Tribology and Lubricants
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• v.39 no.3
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• pp.94-101
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• 2023

Automotive wheel bearings are a critical component of vehicles that support their weight and facilitate rotation. Life and stiffness are significant performance characteristics of wheel bearings. Designing wheel bearings involves finding optimal design variables that satisfy both performances. CO₂ emission reduction and fuel efficiency regulations attribute to the recent increase in design requirements for lightweight and compact automotive parts while maintaining performance. However, achieving a design that maintains performance while reducing weight poses challenges, as performance and weight are generally inversely proportional. In this study, we perform design optimization of automotive wheel bearings considering life and stiffness. We develop a program that calculates the basic rated life and modified rated life based on international standards for evaluating the life of wheel bearings. We develop a regression equation using regression analysis to address the time-consuming stiffness analysis during repetitive analysis. We perform ANOVA and main effect analyses to understand the statistical characteristics of the developed regression equation. Furthermore, we verify its reliability by comparing the predicted and test results. We perform design optimization using the developed life prediction program, stiffness regression equation and weight regression equation. We select bearing specifications and geometry as design variables, weight as the cost function, and life and stiffness as constraints. Through design optimization, we investigate the influence of design variables on the cost function and constraints by comparing the initial and optimal design values.