• Title/Summary/Keyword: Vehicle Test

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Study on Extension of the 6-DOF Measurement Area for a Model Ship by Developing Auto-tracking Technology for Towing Carriage in Deep Ocean Engineering Tank

  • Jung, Jae-sang;Lee, Young-guk;Seo, Min-guk;Park, In-Bo;Kim, Jin-ha;Kang, Dong-bae
    • Journal of Ocean Engineering and Technology
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    • v.36 no.1
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    • pp.50-60
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    • 2022
  • The deep ocean engineering basin (DOEB) of the Korea Research Institute of Ship and Ocean Engineering (KRISO) is equipped with an extreme-environment reproduction facility that can analyze the motion characteristics of offshore structures and ships. In recent years, there have been requirements for a wide range of six-degree-of-freedom (6-DOF) motion measurements for performing maneuvering tests and free-running tests of target objects (offshore structures or ships). This study introduces the process of developing a wide-area motion measurement technology by incorporating the auto-tracking technology of the towing carriage system to overcome the existing 6-DOF motion measurement limitation. To realize a wide range of motion measurements, the automatic tracking control system of the towing carriage in the DOEB was designed as a speed control method. To verify the control performance, the characteristics of the towing carriage according to the variation in control gain were analyzed. Finally, a wide range of motions was tested using a model test object (a remotely operated vehicle (ROV)), and the wide-area motion measurement technology was implemented using an automatic tracking control system for a towing carriage.

Hydrogen Embrittlement Characteristics by Slow Strain Rate Test of Aluminum Alloy for Hydrogen Valve of Hydrogen Fuel Cell Vehicle (수소연료전지 자동차의 수소밸브용 알루미늄 합금의 저변형율인장실험에 의한 수소취화특성 연구)

  • Hyun-Kyu, Hwang;Dong-Ho, Shin;Seong-Jong, Kim
    • Corrosion Science and Technology
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    • v.21 no.6
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    • pp.503-513
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    • 2022
  • As part of eco-friendly policies, interest in hydrogen vehicles is growing in the automotive industry to reduce carbon emissions. In particular, it is necessary to investigate the application of aluminum alloy for light weight hydrogen valves among hydrogen supply systems to improve the fuel efficiency of hydrogen vehicles. In this research, we investigated mechanical characteristics of aluminum alloys after hydrogen embrittlement considering the operating environment of hydrogen valves. In this investigation, experiments were conducted with strain rate, applied voltage, and hydrogen embrittlement time as variables that could affect hydrogen embrittlement. As a result, a brittle behavior was depicted when the strain rate was increased. A strain rate of 0.05 mm/min was selected for hydrogen embrittlement research because it had the greatest effect on fracture time. In addition, when the applied voltage and hydrogen embrittlement time were 5 V and 96 hours, respectively, mechanical characteristics presented dramatic decreases due to hydrogen embrittlement.

Comparison and Evaluation of Low-Cycle Fatigue Life Prediction Methods Using Cu-Cr Alloy Developed for Rocket Engines (로켓엔진용 구리크롬 합금의 저주기 피로수명 예측방법 비교 및 평가)

  • Jongchan Park;Jae-Hoon Kim;Keum-Oh Lee
    • Journal of the Korean Society of Propulsion Engineers
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    • v.26 no.5
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    • pp.1-10
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    • 2022
  • For Cu-Cr alloy developed for rocket engines, estimated fatigue lives were calculated using various fatigue life prediction methods and compared with fatigue life acquired from low-cycle fatigue tests. The utilized methods for fatigue life prediction are as follows: Coffin-Manson relation, plastic/total strain energy density relations, Smith-Watson-Topper relation, Tomkins relation, and Jahed-Varvani relation. As results of estimation of fatigue lives, it satisfied within scatter band two compared to the test fatigue lives in all methods. The quantitative calculation of the deviation of predicted fatigue lives gives that the total strain energy density relation presents the best result.

Effects of CrN and TiN Coating by Hydrogen Embrittlement of Aluminum Alloys for Hydrogen Valves of Hydrogen Fuel Cell Vehicles on Mechanical Properties (수소연료전지 자동차의 수소밸브용 알루미늄 합금의 수소취화에 의한 기계적 특성에 미치는 CrN과 TiN 코팅의 영향)

  • Ho-Seong Heo;Dong-Ho Shin;Seong-Jong Kim
    • Corrosion Science and Technology
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    • v.22 no.4
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    • pp.232-241
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    • 2023
  • The mechanical properties of the hydrogen valve responsible for supplying and blocking hydrogen gas in a hydrogen fuel cell electric vehicle (FCEV) were researched. Mechanical properties by hydrogen embrittlement were investigated by coating chromium nitride (CrN) and titanium nitride (TiN) on aluminum alloy by arc ion plating method. The coating layer was deposited to a thickness of about 2 ㎛, and a slow strain rate test (SSRT) was conducted after hydrogen embrittlement to determine the hydrogen embrittlement resistance of the CrN and TiN coating layers. The CrN-coated specimen presented little decrease in mechanical properties until 12 hours of hydrogen charging due to its excellent resistance to hydrogen permeation. However, both the CrN and TiN-coated specimens exhibited deterioration in mechanical properties due to the peeling of the coating layer after 24 hours of hydrogen charging. The specimens coated at 350 ℃ presented a significant decrease in ultimate tensile strength due to abnormal grain growth.

Effects of Sensor Errors in Air Cleaner Testing on the Cleaner Performance Estimation (공기청정기 시험기의 센서신호 오차가 공기청정기 성능 평가에 미치는 영향)

  • CHUNHWAN LEE;MINYOUNG KIM;SUMIN LEE
    • Transactions of the Korean hydrogen and new energy society
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    • v.34 no.1
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    • pp.77-82
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    • 2023
  • The fuel cell in fuel cell electric vehicle utilizes oxygen in the atmosphere, which requires the use of an air cleaner system to minimize the intake of harmful pollutants. To estimate the performance of the air cleaner system, the pressure drop between the filter inlet and outlet is used under the rated air flow condition. In this study, the effect of sensor error in this air cleaner testing is experimentally carried out. It is found that the errors of the temperature sensor does not significantly affect the estimation of pressure drop. However, in the case of the pressure sensor, 5% sensor error results in the error of pressure drop estimation by 3%. Therefore, it is recommended that the measurement accuracy of the pressure sensor mounted in test system should be maintained at less than 5%.

An Upshift Improvement in the Quality of Forklift's Automatic Transmission by Learning Control (학습제어를 이용한 지게차 자동변속기 상향 변속품질 개선)

  • Jung, Gyuhong
    • Journal of Drive and Control
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    • v.19 no.2
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    • pp.17-26
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    • 2022
  • Recently, automatic transmissions caused a good improvement in the shift quality of a forklift. An advanced shift control algorithm, which was based on TCU firmware, was applied with embedded control technology and microcontrollers. In the clutch-to-clutch shifting, one friction element is released and the other friction element is activated. During this process, if the release and application timings are not synchronized, an overrun or tie-up occurs and ultimately leads to a shift shock. The TCU, which measures only the speed of the forklift, inevitably applies the open-loop shift control. In this situation, the speed ratio does not change during the clutch fill. The torque phase occurs until the clutch is disengaged. In this study, an offline shift logic of the learning control was proposed. It induced a synchronous shift when the learning control progressed. During this process, the reference current trajectory of the release clutch was corrected and applied to the next upshift. We considered the results of the overrun/tie-up characteristics of the upshift performed immediately before. The vehicle test proved that the deviation in shift quality, which was caused by the difference in the mechanical characteristics of the clutch, could be improved by the learning control.

A Study on the Application of Measurement Data Using Machine Learning Regression Models

  • Yun-Seok Seo;Young-Gon Kim
    • International journal of advanced smart convergence
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    • v.12 no.2
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    • pp.47-55
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    • 2023
  • The automotive industry is undergoing a paradigm shift due to the convergence of IT and rapid digital transformation. Various components, including embedded structures and systems with complex architectures that incorporate IC semiconductors, are being integrated and modularized. As a result, there has been a significant increase in vehicle defects, raising expectations for the quality of automotive parts. As more and more data is being accumulated, there is an active effort to go beyond traditional reliability analysis methods and apply machine learning models based on the accumulated big data. However, there are still not many cases where machine learning is used in product development to identify factors of defects in performance and durability of products and incorporate feedback into the design to improve product quality. In this paper, we applied a prediction algorithm to the defects of automotive door devices equipped with automatic responsive sensors, which are commonly installed in recent electric and hydrogen vehicles. To do so, we selected test items, built a measurement emulation system for data acquisition, and conducted comparative evaluations by applying different machine learning algorithms to the measured data. The results in terms of R2 score were as follows: Ordinary multiple regression 0.96, Ridge regression 0.95, Lasso regression 0.89, Elastic regression 0.91.

Bayesian model update for damage detection of a steel plate girder bridge

  • Xin Zhou;Feng-Liang Zhang;Yoshinao Goi;Chul-Woo Kim
    • Smart Structures and Systems
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    • v.31 no.1
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    • pp.29-43
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    • 2023
  • This study investigates the possibility of damage detection of a real bridge by means of a modal parameter-based finite element (FE) model update. Field moving vehicle experiments were conducted on an actual steel plate girder bridge. In the damage experiment, cracks were applied to the bridge to simulate damage states. A fast Bayesian FFT method was employed to identify and quantify uncertainties of the modal parameters then these modal parameters were used in the Bayesian model update. Material properties and boundary conditions are taken as uncertainties and updated in the model update process. Observations showed that although some differences existed in the results obtained from different model classes, the discrepancy between modal parameters of the FE model and those experimentally obtained was reduced after the model update process, and the updated parameters in the numerical model were indeed affected by the damage. The importance of boundary conditions in the model updating process is also observed. The capability of the MCMC model update method for application to the actual bridge structure is assessed, and the limitation of FE model update in damage detection of bridges using only modal parameters is observed.

Structural Design and Analysis for Duct Stand of Blowers (송풍기 덕트 스탠드의 구조 설계 및 해석)

  • Hyunbum Park
    • Journal of Aerospace System Engineering
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    • v.17 no.6
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    • pp.149-153
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    • 2023
  • In this study, structural design and analysis of a duct stand for blowers were performed. This structure was an axial fan and blower for wind tunnel of the vehicle environmental test chamber. The design of the blower duct stand support structure was performed by investigation on various loads. Additionally, self-weight of the motor and weight of the duct were investigated and applied. The duct stand structure was designed by analyzing the load. The safety of the structural design results was evaluated through finite element analysis. Finally, the safety of the design result was verified.

Acute toxicity study of 77 herbal formulas according to GLP guidelines in rats (흰쥐에서 GLP 기준에 의한 한약처방 77종의 단회 투여 급성 독성 연구)

  • Hyeun-kyoo Shin;Woo-Young Jeon;Chang-Seob Seo;Mee-Young Lee
    • The Journal of Korean Medicine
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    • v.44 no.3
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    • pp.29-38
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    • 2023
  • Objectives: This study aimed to investigate the acute oral toxicity of 77 herbal formulas and performed in male and female Sprague-Dawley (SD) rats as per the guidelines mentioned in Ministry of Food and Drug Safety. Methods: Each sex of SD rat were administered a single dose (2000 or 5000 mg/kg) of 77 herbal formulas via oral gavage; the control group received vehicle only. After administration, the mortality, clinical signs, gross findings, and body weight were followed up for 15 days. Results: After administration of 77 herbal formulas, mortality, clinical signs, body weight changes, and gross findings related to the test substances were not observed in both male and female groups. Conclusion: Our results demonstrate the single-dose oral administration of 77 herbal formulas produced no mortality indicating the approximate lethal dose is greater than 2000 or 5000 mg/kg body weight.