• 제목/요약/키워드: Automobile company

검색결과 260건 처리시간 0.028초

이종재료 레이저 용접 판재의 저주기 피로 특성 (The Low Cycle Fatigue Behavior of Laser Welded Sheet Metal for Different Materials)

  • 김석환;곽대순;김웅찬;오택열
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 추계학술대회 논문집
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    • pp.627-631
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    • 2005
  • In this study, low fatigue behavior of laser welded sheet metal were investigated. Before welding, the cross section of butt joint was prepared only by fine shearing without milling process. Specimens were same sheet metal and welding condition that using automobile manufacturing company at present. Butt joint of cold rolled sheet metal was welded by $CO_2$ laser. It is used that welding condition such as laser welding speed was 5.5m/sec and laser output power was 5kW for 0.8mm and 1.2mm sheet metal. The laser weldments were machined same or different thickness and same or different material. In order to mechanical properties of around welding zone, hardness test was performed. Hardness of welding bead is about 2 times greater than base material. We performed the low cycle fatigue tests for obtaining fatigue properties about thickness and the weld line direction of specimen. The results of strain controlled low cycle fatigue test indicate that all specimens occur cyclic softening, as indicated by the decrease in stress to reach a prescribed strain.

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VRLA 배터리의 충/방전 거동과 노화 예측 모델링 (Prediction of Charge/Discharge Behaviors and Aging of the VRLA Battery)

  • 이명규;조재성;신치범;류기선
    • Korean Chemical Engineering Research
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    • 제56권6호
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    • pp.779-783
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    • 2018
  • 본 연구에서는 차량용 12 V 납축전지로 주로 사용되는 VRLA (Valve regulated lead acid) 배터리의 충/방전 특성과 노화에 따른 이의 변화를 수학적으로 모델링하였다. 기존에 리튬 이온 배터리의 거동 예측에 주로 이용되어 왔던 수학적 모델링 기법을 상용 70 Ah VRLA 배터리에 적용하였다. 정전류 충/방전에 따른 전압의 변화를 모델링 결과와 비교하였다. 비교 결과로부터 사용된 수학적 모델이 납축전지에도 높은 정확도로 적용될 수 있음을 알 수 있었다. 또한 이를 이용하여 납축전지의 노화를 예측할 수 있음을 확인하였다.

건설기계의 오일진단 관련 특허 분석 (Analysis of Patents Related to Oil Diagnosis of Construction Equipment)

  • 홍성호;장범석
    • Tribology and Lubricants
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    • 제38권4호
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    • pp.143-151
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    • 2022
  • This study analyzes patents related to oil diagnosis of construction equipment. Oil diagnosis is extremely important for maintaining construction equipment properly. Through the evaluation of existing patents, a patent strategy for the future construction equipment market is presented. The related patents are classified and selected in several steps. Finally, 16 valid patents are selected and analyzed in detail. In the classification process, patents are classified by country, year, and company. A market analysis shows that the top 10 companies have a market share of more than 50. In addition to patents related to the oil analysis of construction equipment, patents related to automobile oil analysis and development of oil sensors are investigated to identify the contents of patents in other fields that can be applied to oil diagnosis technology for construction equipment. Moreover, not only the contents of research articles of two Korean construction companies, but also the research trends in the literature in this field are used in the analysis. The related patents of the two Korean companies are few. Companies with a high market share, including Caterpillar, hold many patents, and patents for diagnosis algorithms using such technologies as artificial intelligence and artificial neural networks, along with oil sensor-based condition monitoring technology, are gradually expanding.

시뮬레이션 기법을 통한 자동차용 열 수축 튜브 생산공정모델 개발 (Developing the Performance Analysis Model of the Heat-Shrink-Tube Manufacturing Process using a Simulation Method)

  • 조규성;이승훈
    • 한국시뮬레이션학회논문지
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    • 제19권4호
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    • pp.21-29
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    • 2010
  • 본 연구는 시뮬레이션 방법을 이용한 자동차용 열 수축 튜브 생산 공정을 가상의 생산 공정 모델로 구현하고, 구현된 모델을 기반으로 열 수축 튜브 생산 공정을 분석하는 연구이다. 자동차용 열 수축 튜브 생산 공정을 분석하기 위해서 공정별로 생성되는 데이터를 수집하고, 수집된 데이터 분석을 통한 자동차용 열 수축 튜브 생산 공정을 분석할 수 있는 가상의 생산 공정 모델을 구현하였다. 구현된 모델을 통해 공정 내에서 발생되는 병목현상 파악 및 원인분석, 공정별 사이클 타임, 부품 생산량 등을 산정함으로써 현 공정 분석 및 개선방안을 모색할 수 있어 기업의 생산 공정관리 효율성을 높일 수 있다.

점등 이미지 차별화 및 원가 절감 다구획 램프 구조 개발 (Enhanced Lighting Image Cost Saving Multi Compartment Lamp Structure)

  • 김형선
    • 자동차안전학회지
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    • 제14권1호
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    • pp.32-38
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    • 2022
  • In the automobile industry, lamps are frequently used as a mean to emphasize each company's brand identity. Therefore, many detailed design models have emerged in order to realize a differentiated image in preparation for competitive vehicles. Among them, the design of a multi compartment lighting image concept that realizes light divided in multiple space also being introduced by various manufacturers. In this study, in order to solve the problem of cost and weight rise that the existing multi compartment image lamp has, using TRIZ method such as functional analysis modeling and trimming. Through this process, an idea to minimize cost and weight was derived. As the idea was designed in detail, the formation of light did not go as desired, and the diffusion of light also proceeded differently than intended. In order to overcome this problem, a new concept of corrosion and diffusion structure was applied. Eventually, it overcomes various problems and successfully applied it to a real vehicle. The idea was actually reflected in the "Santa Fe" model. Later, the media focused on the lamps to which the idea was applied, and contributed to the sale of a large number of vehicles by providing consumers with a new light sensibility. During the research process, it was possible to secure a number of patents and knowledge of new design concepts.

Accuracy improvement in motion tracking of tennis balls using nano-sensors technology

  • Shuning Yan;Chaozong Xiang;Li Guo
    • Advances in nano research
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    • 제14권5호
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    • pp.409-419
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    • 2023
  • Tracking the motion of tennis balls is a challenging task in using cameras around the tennis court. The most important instance of the tennis trajectory is the time of impact and touch the court which in some cases could not be detected precisely. In the present study, we aim to present a novel design of tennis balls equipped with nano-sensors to detect the touch of the ball to the court. In the impact instance, tennis ball receives significant acceleration and change in the linear momentum. This large acceleration could deform a small-beam structure with piezoelectric layer to produce voltage. The voltage could further be utilized to produce infrared waves which could be easily detected by infrared detection sensors installed on the same video cameras or separately near the tennis court. Therefore, the exact time of the impact could be achieved with higher accuracy than image analyzing method. A detailed dynamical property of such sensors is discussed using nonlinear beam equations. The results show that within the acceleration range of tennis ball during an impact, the piezoelectric patches of the nano-sensors in the tennis ball could produce enough voltages to propagate infrared waves to be detected by infrared detectors.

전력 부하 분석을 통한 절삭 공정 이상탐지 (Anomaly Detection of Machining Process based on Power Load Analysis)

  • 육준홍;배성문
    • 산업경영시스템학회지
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    • 제46권4호
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    • pp.173-180
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    • 2023
  • Smart factory companies are installing various sensors in production facilities and collecting field data. However, there are relatively few companies that actively utilize collected data, academic research using field data is actively underway. This study seeks to develop a model that detects anomalies in the process by analyzing spindle power data from a company that processes shafts used in automobile throttle valves. Since the data collected during machining processing is time series data, the model was developed through unsupervised learning by applying the Holt Winters technique and various deep learning algorithms such as RNN, LSTM, GRU, BiRNN, BiLSTM, and BiGRU. To evaluate each model, the difference between predicted and actual values was compared using MSE and RMSE. The BiLSTM model showed the optimal results based on RMSE. In order to diagnose abnormalities in the developed model, the critical point was set using statistical techniques in consultation with experts in the field and verified. By collecting and preprocessing real-world data and developing a model, this study serves as a case study of utilizing time-series data in small and medium-sized enterprises.

TiN 나노 박막을 코팅한 AL7075-T7351 알루미늄 합금의 트라이볼로지 특성에 관한 연구 (A Study on the Tribological Characteristics of AL7075-T7351 Aluminum Alloy Coated with TiN Nano Thin Film)

  • 김광수;임성훈;김도현;박형준;허선철
    • 한국산업융합학회 논문집
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    • 제26권5호
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    • pp.743-750
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    • 2023
  • Aluminum alloy is a material widely used in the aircraft industry. However, since it has relatively low hardness, strength and tribological properties, it is necessary to improve these properties. In this paper, a TiN thin film was coated on the surface of AL7075-T7351 using DC magnetron sputtering. The coating was performed by setting different deposition pressure, deposition time, and applied power. Then, the tribological properties of the thin film were investigated. As a result of the experiment, the hardness of the thin film was higher than that of the base material, and the specimen with the highest hardness had excellent friction coefficient, wear amount, and adhesive strength characteristics. Through this study, it was confirmed that the tribological characteristics of aluminum alloy can be improved by depositing thin films using DC magnetron sputtering.

혼합정수 계획법을 이용한 전략적 입지선정 -자동차 SCM을 중심으로- (Design of Mixed Integer Linear Programming Model for Strategic Location Decision -Focused on the Automotive Industry SCM-)

  • 하영규;우수한
    • 무역학회지
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    • 제46권2호
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    • pp.213-228
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    • 2021
  • In recent year, US government requires local investment ,unlike in the past, when import restrictions and tariff were imposed. In this situation, many companies are considering new investment in the US and entering the local market. However, research on the optimal investment plan along with the case analysis on trade regulation is extremely limited and more research needs to be conducted. Accordingly, this study aims to suggest the implications and countermeasure of the SCM and logistical perspective by studying the optimal measures for the new investment of each company due to trade regulation. As a research method, the gravity location model, Mixed Integer Linear Programming Model were used to select the optimal automobile manufacturing factory considering each state's population. This study will be implication of SCM and logistics perspective not only for companies considering new investment in the US but also for the government to conduct trade negotiations. In the future, it is expected that the US trade pressure will increase and affect Korea in many ways. Therefore, in order to cope with such difficult situation in a timely manner, continuous research considering various possibilities is needed in the future.

자동차 프레스 공정에 있어서 직무 및 누적소음기 설정치 차이에 따른 작업자의 소음노출 평가 (An Assessment of Notice Exposure by Job and Dosimeter Parameters Setting in Automobile Press Factory)

  • 정지연;박승현;이광용;이나루;유기호;박정선;정호근
    • 한국산업보건학회지
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    • 제11권3호
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    • pp.190-197
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    • 2001
  • Noise-induced hearing loss(NIHL) was the highest rate (43.5%~58.5% from 1996 to 1998) of positive findings through specific medical program in Korea. There were much more NIHL at workers of automobile manufacturing factories than other manufacturing factories. The specific aim of the present study was to determine the noise exposure of automobile press lines, according to their job titles, press line types(auto, semiauto), dosimeter parameters setting. There were a total 11 press lines sampled at a automobile manufacturing company. Among those press lines, 10 press lines were autolines with acoustic enclosure, one semiauto press line was no aucostic enclosure Noise exposure data were sampled for an work shift using noise dosimeter, which recorded both time-weighted average(TWA) and 1-min average. The mean OSHA TWA(Korea TWA with threshold 90) was $80.7dB(A){\pm}4.7dB(A)$ for leader, $82.8dB(A{\pm}4.5dB(A)$ for pallette man, $76.7dB(A){\pm}4.3dB(A)$ for press operators, $76.6dB(A){\pm}5.6dB(A)$ for crane operators, $77.1dB(A){\pm}2.8dB(A)$ for forklift drivers, whereas the mean NIOSH TWA was $88.9dB(A){\pm}1.7dB(A)$ for leader, $89.6dB(A){\pm}2.1dB(A)$ for pallette man, $86.7dB(A){\pm}1.8dB(A)$ for press operators, $88.5dB(A){\pm}2.0dB(A)$ for crane operators, $87.7dB(A){\pm}1.0dB(A)$ for forklift drivers. While L10 for NIOSH TWA samples was 84.8 dB(A) ~ 87.3 dB(A), L10 for OSHA TWA samples was 69.5 dB(A) ~ 77.4 dB(A). L10 means that the TWA for 90% of the samples exceeded L10. Among OSHA TWA(Korea TWA with threshold 90) samples for pallette man, 7.7 % exceeded 90 dB(A), the OSHA permissible exposure level, but OSHA TWA samples for the other job titles didn't. Among NIOSH TWA samples, the samples over 85 dB(A), the NIOSH recommended exposure limit, was 100% (leaders), 83.3 %(operators), 97.4%(palletteman), 100%(forklift drivers), 91.7 %(crane operator). The results of One-way random effects analysis of variance models shows that the difference between job titles was significant by OSHA TWA(p<0.05), but not significant by NIOSH TWA(p>0.05). NIOSH TWA samples were significantly higher than OSHA TWA samples(P<0.05). Regression analysis was used to obtain relationships between OSHA TWA samples and NIOSH TWA samples. In this case the coefficient of determination = 0.90, which shows the high degree association between two methods. Regression equation, NIOSH TWA = 0.552 * OSHA TWA + 42.13 dB(A), shows that if OSHA TWA is known, NIOSH TWA can be predicted by the equation. The mean TWA difference between threshold 80 dBA and 90 dBA was significant(p<0.01). While the TWA noise exposures were 7.7% above the Korea(OSHA) PEL, they were more than 83.3% over NIOSH REL. Automobile workers were exposed to noise level that could be potentially damaging to their hearing. It found that there is approximately 25% excess risk of hearing loss even if a worker is protected to the PEL in according to NIOSH study.

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