• 제목/요약/키워드: Shape memory alloys (SMA)

검색결과 91건 처리시간 0.027초

형상기억합금 응용 스마트 액추에이터-제어기 설계 (Smart Actuator-Control System Design Using Shape Memory Alloys)

  • 김영식;장태수
    • 디지털콘텐츠학회 논문지
    • /
    • 제18권7호
    • /
    • pp.1451-1456
    • /
    • 2017
  • 본 연구에서는 형상기억합금(SMA)을 응용한 스마트 액추에이터의 효율적 제어를 위한 통합 액추에이터-제어기 시스템 설계를 논의한다. 이를 위하여 두 개의 스마트 SMA 액추에이터 유닛과 함께 제어를 위한 싱글 칩 마이크로프로세서, 액추에이터 드라이버, 센서를 통합한 새로운 액추에이터-제어기 모듈을 설계하고 제작하였다. 제안된 시스템에서는 피드백 제어를 위해 모듈의 회전을 측정하는 6축 모션센서 칩과 SMA의 저항을 측정하는 회로를 포함한다. 실험을 통하여 액추에이터의 구동과 센서 신호와 통신을 확인하였고 이를 통하여 실제 액추에이터-제어기 시스템의 작동을 확인하였다.

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
    • /
    • 제10권3호
    • /
    • pp.276-283
    • /
    • 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.

Variability in mechanical properties and microstructure characterization of CuAlBe shape memory alloys for vibration mitigation

  • Casciati, Fabio;van der Eijk, Casper
    • Smart Structures and Systems
    • /
    • 제4권2호
    • /
    • pp.103-121
    • /
    • 2008
  • Shape memory alloys (SMA) have been emphasized, studied and understood in the controlled world of the laboratory. Any attempt to implement one of these alloys in engineered products requires a jump from the controlled world of the laboratory to the actual environment of the application. The first step is to move from single grain specimens to multigrain samples. One works with a material for which any stock is different from that previously available. This paper reviews the milestones in the familiarization process the authors had to overcome during their cooperation within a project funded by the European Union. The main items cover transformation temperatures, thermal treatment and properties understanding.

Stability augmentation of helicopter rotor blades using passive damping of shape memory alloys

  • Yun, Chul-Yong;Kim, Dae-Sung;Kim, Seung-Jo
    • International Journal of Aeronautical and Space Sciences
    • /
    • 제7권1호
    • /
    • pp.137-147
    • /
    • 2006
  • In this study, shape memory alloy damper with characteristics of pseudoelastic hysteresis for helicopter rotor blades are investigated. SMAs can be available in damping augmentation of vibrating structures. SMAs show large hysteresis in the process of pseudoelastic austenite-martensite phase transformation which takes place while subjected to loading above the austenite finish temperature. Since SMAs display pseudoelastic hysteresis behavior over large strain ranges, a significant amount of energy dissipation is possible. A damper can be designed with SMA wires prestressed to a baseline level somewhere in the middle of the pseudoelastic stress range. An experimental study of the effects of pre-strain and cyclic strain amplitude as well as frequency on the damping behavior of pseudoelastic shape memory alloy wires are performed. The effects of the shape memory alloy damper on aeroelastic and ground resonance stability of helicopter are studied. In aeroelastic stability, the dynamic characteristics of blades related to pitch angle and the amplitude of lag motion for the rotor equipped with SMA damper were examined. The performance of SMA damper on ground resonance instability are presented through the frequencies and modal damping with respect to rotating speed.

Dynamic behavior of smart material embedded wind turbine blade under actuated condition

  • Mani, Yuvaraja;Veeraragu, Jagadeesh;Sangameshwar, S.;Rangaswamy, Rudramoorthy
    • Wind and Structures
    • /
    • 제30권2호
    • /
    • pp.211-217
    • /
    • 2020
  • Vibrations of a wind turbine blade have a negative impact on its performance and result in failure of the blade, therefore an approach to effectively control vibration in turbine blades are sought by wind industry. The small domestic horizontal axis wind turbine blades induce flap wise (out-of-plane) vibration, due to varying wind speeds. These flap wise vibrations are transferred to the structure, which even causes catastrophic failure of the system. Shape memory alloys which possess physical property of variable stiffness across different phases are embedded into the composite blades for active vibration control. Previously Shape memory alloys have been used as actuators to change their angles and orientations in fighter jet blades but not used for active vibration control for wind turbine blades. In this work a GFRP blade embedded with Shape Memory Alloy (SMA) and tested for its vibrational and material damping characteristics, under martensitic and austenite conditions. The embedment portrays 47% reduction in displacement of blade, with respect to the conventional blade. An analytical model for the actuated smart blade is also proposed, which validates the harmonic response of the smart blade.

Incremental dynamic analyses of concrete buildings reinforced with shape memory alloy

  • Mirtaheri, Masoud;Amini, Mehrshad;Khorshidi, Hossein
    • Steel and Composite Structures
    • /
    • 제23권1호
    • /
    • pp.95-105
    • /
    • 2017
  • The use of superelastic shape memory alloys (SMAs) as reinforcements in concrete structures is gradually gaining interest among researchers. Because of different mechanical properties of SMAs compared to the regular steel bars, the use of SMAs as reinforcement in the concrete may change the response of structures under seismic loads. In this study, the effect of SMAs as reinforcement in concrete structures is analytically investigated for 3-, 6- and 8-story reinforced concrete (RC) buildings. For each concrete building, three different reinforcement details are considered: (1) steel reinforcement (Steel) only, (2) SMA bar used in the plastic hinge region of the beams and steel bar in other regions (Steel-SMA), and (3), beams fully reinforced with SMA bar (SMA) and steel bar in other regions. For each case, columns are reinforced with steel bar. Incremental Dynamic Analyses (IDA) are performed using ten different ground motion records to determine the seismic performance of Steel, Steel-SMA and SMA RC buildings. Then fragility curves for each type of RC building by using IDA results for IO, LS and CP performance levels are calculated. Results obtained from the analyses indicate that 3-story frames have approximately the same spectral acceleration corresponding with failure of frames, but in the cases of 6 and 8-story frames, the spectral acceleration is higher in frames equipped with steel reinforcements. Furthermore, the probability of fragility in all frames increases by the building height for all performance levels. Finally, economic evaluation of the three systems are compared.

Seismic behavior of steel column-base-connection equipped by NiTi shape memory alloy

  • Jamalpour, Reza;Nekooei, Masoud;Moghadam, Abdolreza Sarvghad
    • Structural Engineering and Mechanics
    • /
    • 제64권1호
    • /
    • pp.109-120
    • /
    • 2017
  • The behavior of moment resistant steel structures depends on both the beam-column connections and columns foundations connections. Obviously, if the connections can meet the adequate ductility and resistance against lateral loads, the seismic capacity of these structures will be linked practically to the performance of these connections. The shape memory alloys (SMAs) have been most recently used as a means of energy dissipation in buildings. The main approach adopted by researchers in the use of such alloys is firstly bracing, and secondly connecting the beams to columns. Additionally, the behavior of these alloys is modeled in software applications rarely involving equivalent torsional springs and column-foundation connections. This paper attempts to introduce the shape memory alloys and their applications in steel structural connections, proposing a new steel column-foundation connection, not merely a theoretical model but practically a realistic and applicable model in structures. Moreover, it entails the same functionality as macro modeling software based on real behavior, which can use different materials to establish a connection between the columns and foundations. In this paper, the suggested steel column-foundation connection was introduced. Moreover, exploring the seismic dynamic behavior under cyclic loading protocols and the famous earthquake records with different materials such as steel and interconnection equipment by superelastic shape memory alloys have been investigated. Then, the results were compared to demonstrate that such connections are ideal against the seismic behavior and energy dissipation.

Experimental studies on the fatigue life of shape memory alloy bars

  • Casciati, Sara;Marzi, Alessandro
    • Smart Structures and Systems
    • /
    • 제6권1호
    • /
    • pp.73-85
    • /
    • 2010
  • The potential offered by the thermo-mechanical properties of shape memory alloys (SMA) in structural engineering applications has been the topic of many research studies during the last two decades. The main issues concern the long-term predictability of the material behaviour and the fatigue lifetime of the macro structural elements (as different from the one of wire segments). The laboratory tests reported in this paper are carried out on bar specimens and they were planned in order to pursue two objectives. First, the creep phenomenon is investigated for two different alloys, a classical Ni-Ti alloy and a Cu-based alloy. The attention is then focused on the Cu-based alloy only and its fatigue characteristics at given temperatures are investigated. Stress and thermal cycles are alternated to detect any path dependency.

초탄성 형상기억합금 능동제어 가새시스템을 이용한 중심가새프레임 구조물의 지진거동 및 복원성능 평가 (Seismic Behavior and Recentering Capability Evaluation of Concentrically Braced Frame Structures using Superelastic Shape Alloy Active Control Bracing System)

  • 허종완;이두재;조양희
    • 한국지진공학회논문집
    • /
    • 제16권6호
    • /
    • pp.1-12
    • /
    • 2012
  • The researches related to active control systems utilizing superelastic shape memory alloys (SMA) have been recently conducted to reduce critical damage due to lateral deformation after severe earthquakes. Although Superelastic SMAs undergo considerable inelastic deformation, they can return to original conditions without heat treatment only after stress removal. We can expect the mitigation of residual deformation owing to inherent recentering characteristics when these smart materials are installed at the part where large deformation is likely to occur. Therefore, the primary purpose of this research is to develop concentrically braced frames (CBFs) with superelastic SMA bracing systems and to evaluate the seismic performance of such frame structures. In order to investigate the inter-story drift response of CBF structures, 3- and 6-story buildings were design according to current design specifications, and then nonlinear time-history analyses were performed on numerical 2D frame models. Based on the numerical analysis results, it can be comparatively verified that the CBFs with superelastic SMA bracing systems have more structural advantages in terms of energy dissipation and recentering behavior than those with conventional steel bracing systems.

변형률 속도에 따른 형상기억합금 초탄성 거동의 실험 및 해석 연구 (Experimental and Numerical Analysis for Superelastic Behaviors of SMAs with Strain-rate Dependence)

  • 노진호;박정인;이수용
    • 한국항공우주학회지
    • /
    • 제39권1호
    • /
    • pp.9-15
    • /
    • 2011
  • 변형률-속도에 따른 형상기억합금의 초탄성 거동 특성 변화를 실험적 그리고 수치적으로 살펴보았다. 변형률-속도를 고려한 형상기억합금의 수학 모델을 유도하였고, 형상기억합금의 실험결과를 바탕으로 변형률 속도에 따른 형상기억합금의 열-기계적 특성변화를 관찰하였다. 변형률-속도의 변화에 따라 형상기억합금 시편의 급격한 온도변화가 일어남을 확인하였고 이런 현상이 초탄성 거동 특성 변화에 큰 영향을 미침을 예측 할 수 있었다.