• Title/Summary/Keyword: Front bumper

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Microstructure and Mechanical Properties of STD11 Steel According to Reheat Treatment (STD11 금형강 재열처리에 따른 미세조직 및 기계적 특성)

  • Park, Gi Yeon;Kwon, Eui Pyo;Heo, Gi Ho
    • Korean Journal of Materials Research
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    • v.32 no.3
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    • pp.139-145
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    • 2022
  • Reheat treatment process of mold is necessary when partial machining of the mold is required, such as shape correction for an existing mold. If defects such as cracks or significant deterioration of mechanical properties of the mold occur during reheat treatment, it is impossible to reuse the mold. In this study, reheat treatment was performed up to two times for STD11 tool steel, and microstructure and mechanical properties according to the reheat treatment were evaluated. Carbide fraction and grain size of prior austenite were almost unchanged after the reheat treatment. Hardness and impact toughness increased significantly after QT treatment, and these properties were maintained without significant change even after the reheat treatment. It is concluded that up to two iterations of reheat treatment does not cause deterioration of properties of STD11 tool steel. Based on these results, a mold for a face-lifted front bumper was manufactured through machining and reheat-treating of an existing mold.

Steering Control for Autonomous Electric Vehicle using Magetic Fields (자기장을 이용한 자율주행 전기자동차의 조향제어)

  • Kim, Tae-Gon;Son, Seok-Jun;Ryoo, Young-Jae;Kim, Eui-Sun;Lim, Young-Cheol
    • Journal of Sensor Science and Technology
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    • v.10 no.2
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    • pp.134-141
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    • 2001
  • This paper describes a method to steer an autonomous electric vehicle using magnetic fields. Magnets are embeded along the center of the road and a magneto-resistive sensor is mounted beneath the front bumper of the vehicle. As the vehicle moves along the road neural network controller controls the vehicle using measured magnetic field variation. Based on a single magnets modeling equation, we analyzed three dimensional magnetic field distributions of embeded magnets in series on the center of the road and performed a computer simulation using this results. In simulation study, straight and curved road was configured. The steering controller for the vehicle was designed using neural network and experiment was performed on the real embeded magnets using real autonomous electric vehicle. At the experiment we compensated the earth's magnetic fields and showed a good result driving an autonomous vehicle using proposed method.

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Study of Examples for Air Bag Non-deployment Including Rear Collision and Failure Phenomenon by Damage of Control Parts in Vehicle Air Bag (자동차 에어백의 제어부품 불량에 의한 고장현상 및 후방 추돌에 관련된 에어백 미전개에 대한 사례 연구)

  • Lee, Il Kwon;Kim, Young Gyu;Moon, Hak Hook
    • Journal of the Korean Institute of Gas
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    • v.16 no.6
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    • pp.102-106
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    • 2012
  • The purpose of this paper is to study the failure cases in relation to system of Air Bag in vehicle happened in the field. In the first example, it was separated the soldering parts connected the wire pin between air bag module and clock spring of air bag. Whenever the pin shake by the car's vibration, the driver verified the malfunction phenomenon appeared air bag warning lamp on instrument panel in front of driver's seat. in car inside room. The second example, it verified the warning lamp lighting phenomenon of air bag by produced the circuit plate non-contacting of single an element in air bag electronic control unit. The third example, it verified the light of air bag warning indicator lamp by separated with soldering parts connecting inner pin and resistance terminal of seat belt pretensioner using passenger seat. The fourth example, when the passenger car crash a back of truck, the former bumper get jammed under the latter as the roof height of car low less than that. Therefore, the impact of Car's collision verified that don't transfer with body frame of vehicle because of no attachment impact sensor in it.