• 한국안전학회지
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• 제15권2호
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• pp.22-30
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• 2000

The sub-frame of passenger car begins to be used widely for the safety of passengers. Conventional design of the sub-frame comprises 22parts, and it requires quite complicated production processes. In this papers, the sub-frame is designed with TWB(Tailor Welded Blanks) to improve stiffness, to reduce weight and to simplify the manufacturing process. To design the proper structure, structural analysis and crash analysis are executed about the conventional design and TWB applied design. A prototype TWB applied sub-frame is manufactured using mash-seam welded TB(Tailored Blanks). Comparing with the conventional sub-frame, the TWB applied sub-frame has 30% weight reduction and 17% increasement of structural stiffness in average.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2005년도 추계학술대회논문집
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• pp.155-158
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• 2005

Sub-frame is a key component to damp the vibration of engine-born and isolate the input force from a ground. To enhance the performance of the sub-frame of vehicle, its structure should be designed to be a high performing mechanical filter that exclude the low frequency vibration elements. In this paper, a contribution analysis based on the frequency response function(FRF) is introduced to detect a high sensitive position of the target sub-frame and its results are validated with a SDM(structural dynamic modification) analysis.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2014년도 추계학술대회 논문집
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• pp.827-829
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• 2014

This paper presents a design methodology for improving dynamic stiffness of an inspection robot frame to prevent resonance. Finite element models of robot frame are developed for natural frequency analysis. Natural frequency analysis of robot frame is conducted to compare with sub-span oscillation which is excitation frequency. Reinforcement beams are applied to the sensitive parts of the robot frame to improve dynamic stiffness using case study. To reduce mass of the robot frame, thickness optimization of the robot frame is carried out by utilizing response surface method. The result of optimization show that dynamic stiffness of robot frame is increased. As a result, natural frequency of an optimal model is not included in range of frequencies of the sub-span oscillation.

• 한국자동차공학회논문집
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• 제16권5호
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• pp.100-105
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• 2008

In the design process of an automobile part, several analysis methods are usually utilized to evaluate the performance of the part. However, most automobile design engineers do not directly utilize CAE (Computer Aided Engineering) tools since specific skills are required to obtain practical results. Moreover, CAE requires a huge amount of computation time and cost. In order to resolve these problems, a new design approach named First Order Analysis (FOA) technique has been proposed. In this paper, the FOA technique is employed to design a vehicle sub-frame. An equivalent model of the vehicle sub-frame which only consists of beam elements is proposed and the modal properties obtained with the model are compared to those obtained with a full scale finite element model. The effect of some parameter tolerances on the modal characteristics of the vehicle sub-frame is investigated by employing the FOA equivalent model.

• 동력기계공학회지
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• 제15권4호
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• pp.31-36
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• 2011

The need for the lightweight of special vehicle trailer frame is substantially growing due to high gasoline prices and serious environmental issues. In this study, we develop a new lightweight sub-frame for large container trailers and evaluate its durability through a fatigue test. To this end, a reliable three-dimensional parametric finite element model of a sub-frame is constructed and then an optimized lightweight sub-frame is newly developed by using the Taguchi method. Next, we make a trial product of the optimized lightweight sub-frame and conduct a driving test to identify the driving load history at vulnerable areas. Finally, we evaluate the durability of the developed lightweight sub-frame through a fatigue test based on the load history.

• 한국자동차공학회논문집
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• 제16권4호
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• pp.179-185
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• 2008

The purpose of this paper is to propose a systematic method on the weld pitch design of a vehicle sub-frame considering the fatigue life of spot welding points. The input data, which perform the fatigue analysis on the spot welding nuggets, are obtained by both the dynamic analysis of the multi-body vehicle model passing through the virtual proving ground of a typical Belgian road and the quasi-static analysis with the finite element model of the vehicle sub-frame. By utilizing the life cycle data obtained from the fatigue analysis, the welding points to perform the pitch change are determined. The sensitivity analysis on the fatigue life of the welding points is carried out by using the three-level orthogonal array design, and through the results of the sensitivity analysis, the best combination on the welding pitch is determined. This study shows that as compared with the baseline design, the sub-frame redesigned by the proposed technique improves the fatigue life about 7 percent while reducing the number of welding points about 19 percent.

• 한국기계가공학회지
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• 제3권4호
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• pp.7-12
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• 2004

Inspection and analysis are essential process to determine whether a completed product is in given specification or not. Analysis of products with very complicated shape is difficult to carry out direct comparison between inspected coordinate and designed coordinates. So process called as matching or registrations is needed to solve this problem. By defining error between two coordinates and minimizing the error, registration is done. Registration consists of translation, rotation and scale transformations. Error must be defined to express feature of inspected product. In this paper, registration algorithm is developed to determine pose of sub-frame at assembly with body of automobile by defining error between two coordinates considering geometric feature of sub-frame.

• Composites Research
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• 제32권1호
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• pp.21-28
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• 2019

최근 환경 규제에 의하여 자동차 업계는 차량의 연비를 높이기 위해서 복합소재를 활용한 경량화 연구가 다양하게 진행되고 있다. 하지만 샤시계 부품들은 복합소재를 활용한 경량화 연구가 미진하다. 따라서 본 연구에서는 샤시계 부품 중 서브프레임에 복합재료를 활용하여 스틸 동등 수준의 강성, 강도 그리고 NVH 성능과, 50%의 경량화를 이끌어 내는 것이 목표다. 우선, 복합재료의 Damping 특성을 확인하기 위하여, 스틸과 복합재료 시편을 활용하여 고유 진동수를 1차 비교하였다. 본격적으로 서브프레임 개발에 들어가 강성, 강도를 극대화 할 수 있는 Lay-up Sequence를 제시하였고, 제작과정 중 경화에 의한 열 수축을 피할 수 있는 Lay-up Sequence를 제시하였다. 이 과정은 구조해석을 바탕으로 설계를 하였고, Modal 해석을 바탕으로 고유 진동수와 주파수 응답 그래프를 확인하였다. 설계 안을 바탕으로 프로토 타입 서브프레임을 제작하였고 단품 모달 실험을 통하여 구조해석 설계 안을 검증하였다. 나아가서 실차에 장착하여 공진점 확인 및 아이들링, 로드 노이즈 포함하여 실내 소음 진동 응답 비교를 하였고, 기존 스틸 서브프레임과 동등한 수준의 성능임을 확인하였다. 최종적으로 경량화는 기존 부품 대비 약 50% 무게 경량화 효과를 확인하였다.

• KIEAE Journal
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• 제16권2호
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• pp.79-85
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• 2016

Purpose: It is difficult to calculate frame U-value because of the two reason. First is selection of air properties in cavity. Second is calculation method in window frame. For this reason, it is important to decide cavity properties in window frame. However, international standards offered different method(ISO 15099, ISO 10077) and air properties was changed according to the two methods. The aim of this study was to suggest method for deriving accurate frame U-value using international standard methods and CFD simulation. Method: First, this study conducted analysis calculation method of ISO 15099 and ISO 10077. And, CFD simulation conducted based on same condition. Finally, ISO calculation and CFD simulation results were verified through comparison with real experiment results. Result: The results show that effective conductivity of ISO 15099 was the highest value. ISO 10077 and CFD result followed. The convergent values of ISO 10077 was the highest. ISO 15099 and CFD followed. ISO calculation reflecting CFD simulation results will reduce error with experimental results.

• International Journal of Internet, Broadcasting and Communication
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• 제11권4호
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• pp.76-85
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• 2019

We introduce a vision-based object detection method for real-time video surveillance system in low-end edge computing environments. Recently, the accuracy of object detection has been improved due to the performance of approaches based on deep learning algorithm such as Region Convolutional Neural Network(R-CNN) which has two stage for inferencing. On the other hand, one stage detection algorithms such as single-shot detection (SSD) and you only look once (YOLO) have been developed at the expense of some accuracy and can be used for real-time systems. However, high-performance hardware such as General-Purpose computing on Graphics Processing Unit(GPGPU) is required to still achieve excellent object detection performance and speed. To address hardware requirement that is burdensome to low-end edge computing environments, We propose sub-frame analysis method for the object detection. In specific, We divide a whole image frame into smaller ones then inference them on Convolutional Neural Network (CNN) based image detection network, which is much faster than conventional network designed forfull frame image. We reduced its computationalrequirementsignificantly without losing throughput and object detection accuracy with the proposed method.