• 제목/요약/키워드: Shape Memory Ally(SMA)

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Prediction and Comparison of Electrochemical Machining on Shape Memory Alloy(SMA) using Deep Neural Network(DNN)

  • Song, Woo Jae;Choi, Seung Geon;Lee, Eun-Sang
    • Journal of Electrochemical Science and Technology
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    • 제10권3호
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    • pp.276-283
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    • 2019
  • Nitinol is an alloy of nickel and titanium. Nitinol is one of the shape memory alloys(SMA) that are restored to a remembered form, changing the crystal structure at a given temperature. Because of these unique features, it is used in medical devices, high precision sensors, and aerospace industries. However, the conventional method of mechanical machining for nitinol has problems of thermal and residual stress after processing. Therefore, the electrochemical machining(ECM), which does not produce residual stress and thermal deformation, has emerged as an alternative processing technique. In addition, to replace the existing experimental planning methods, this study used deep neural network(DNN), which is the basis for AI. This method was shown to be more useful than conventional method of design of experiments(RSM, Taguchi, Regression) by applying deep neural network(DNN) to electrochemical machining(ECM) and comparing root mean square errors(RMSE). Comparison with actual experimental values has shown that DNN is a more useful method than conventional method. (DOE - RSM, Taguchi, Regression). The result of the machining was accurately and efficiently predicted by applying electrochemical machining(ECM) and deep neural network(DNN) to the shape memory alloy(SMA), which is a hard-mechinability material.

SMA 작동기를 이용한 HDD의 비접촉 시동 및 정지 기구의 실험적 성능 고찰 (Experimental Evaluation of HDD's Non-Contact Start/Stop Motion Using Shape Memory Alloy Actuator)

  • 임수철;박종성;최승복;박영필
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2001년도 춘계학술대회논문집
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    • pp.1122-1129
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    • 2001
  • In this work, we propose a new type of HDD suspension featuring shape memory ally (SMA) actuator in order to prevent the contact between the slider and disk. The principal design parameters are obtained from the modal analysis using finite element analysis, and then the dynamic model is established to formulate the control scheme for Non-Contact Start/Stop mode drive. Subsequently, a robust Η$_{\infty}$, control algorithm is designed by integrating experimentally-obtained SMA actuator dynamics to the proposed suspension system. The controller is empirically realized and control results for different load/unload profiles are presented in time domain. In addition, the contact signal between the slider and disk is measured by the electrical resistance method.istance method.

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