• 제목/요약/키워드: Micro behavior

검색결과 1,062건 처리시간 0.027초

기계화학적 반응을 고려한 단결정 실리콘과 비정질 보로실리케이트의 나노 변형 거동에 관한 연구 (A Study on the Nano-Deformation Behaviors of Single Crystal Silicon and Amorphous Borosilicate Considering the Mechanochemical Reaction)

  • 윤성원;신용래;강충길
    • 소성∙가공
    • /
    • 제12권7호
    • /
    • pp.623-630
    • /
    • 2003
  • Nanomachining process, static nanoplowing, is one of the most promising lithographic technologies in terms of the low cost of operation and variety of workable materials. In nanomachining process, chemical effects are more dominant factor compared with those by physical deformation or fracture. For example, during the nanoscratch on a silicon surface in the atmosphere, micro protuberances are formed due to the mechanochemical reaction between diamond tip and the surfaces. On the contrary, in case of chemically stable materials, such as ceramic or glass, surface protuberances are not formed. The purpose of this study is to understand effects of the mechanochemical reaction between tip and surfaces on deformation behaviors of hard-brittle materials. Nanometerscale elasoplastic deformation behavior of single crystal silicon (100) was characterized with micro protuberance phenomena, and compared with that of borosilicate (Pyrex glass 7740). In addition, effects of the silicon protuberances on nanoscratch test results were discussed.

Organic Solvent Absorption characteristics of Split-type micro fiber fabrics

  • Lee, Kwang-Ju;Kim, Seong-Hun
    • 한국섬유공학회:학술대회논문집
    • /
    • 한국섬유공학회 2003년도 The Korea-Japan Joint Symposium
    • /
    • pp.95-95
    • /
    • 2003
  • In this study, the influences of organic solvent viscosity on absorption properties of split-type micro fiber fabrics is examined with real time absorption measurement device built by our research group recently. And the absorption behavior of these fabrics is analyzed by material, fineness, construction, weight, thickness, and density of fabrics.

  • PDF

미세 부품의 초음파 접합공정 개발 (Development of Ultrasonic Bonding Process for Micro Components)

  • 김정호;이지혜;유중돈;최두선
    • 소성∙가공
    • /
    • 제11권7호
    • /
    • pp.596-600
    • /
    • 2002
  • The ultrasonic bonding method and its feasibility are investigated in this work for joining the micro components and MEMS packaging. The ultrasonic bonding process is analyzed using a lumped mode, and preliminary experiments using the eutectic solder and copper pin were carried out to verify possibility to MEMS packaging. The ultrasonic bonding process appears to be adequate for MEMS packaging by providing localized heating at the selected area. Microscopic behavior of the bond joint through ultrasonic vibration needs further investigation.

난류가 플랑크톤의 거동에 미치는 영향: 역학적 관점에서 본 얇은 층의 형성과정 (Effect of Turbulence on the Plankton Behavior: Mechanical Perspective of a Process for Developing Thin Layers)

  • 황진환
    • 한국해양학회지:바다
    • /
    • 제17권4호
    • /
    • pp.283-291
    • /
    • 2012
  • 본 연구에서는 최근 물리적 관측 방법으로 그 존재가 확인된 얇은 층(thin layer)의 형성 메커니즘에 대하여 검토하였다. 기존의 연구들에서는 성층과 전단응력의 상대적 크기인 Richardson수가 얇은 층의 중요한 결정요인인 것으로 밝혀졌다. 성층이 없는 조건하에서의 물리적 수치 실험은 미세 난류(micro-structure turbulence)가 플랑크톤의 거동에 변화를 주어 성장과 재생산 등에 영향줄 수 있음을 설명하였다. 기존의 플랑크톤 거동에 성층과 전단응력의 효과를 고려하여 최근 Gyrotaxis의 메커니즘으로 얇은 층이 형성되는 과정을 설명하였다. 이러한 생태학적 문제에 물리학적 연구방법론의 적용이라는 최근의 연구경향은 현재 및 향후에 해양생태학에서 중요한 접근방법이라고 할 수 있다.

Multi-Dimensional Reinforcement Learning Using a Vector Q-Net - Application to Mobile Robots

  • Kiguchi, Kazuo;Nanayakkara, Thrishantha;Watanabe, Keigo;Fukuda, Toshio
    • International Journal of Control, Automation, and Systems
    • /
    • 제1권1호
    • /
    • pp.142-148
    • /
    • 2003
  • Reinforcement learning is considered as an important tool for robotic learning in unknown/uncertain environments. In this paper, we propose an evaluation function expressed in a vector form to realize multi-dimensional reinforcement learning. The novel feature of the proposed method is that learning one behavior induces parallel learning of other behaviors though the objectives of each behavior are different. In brief, all behaviors watch other behaviors from a critical point of view. Therefore, in the proposed method, there is cross-criticism and parallel learning that make the multi-dimensional learning process more efficient. By ap-plying the proposed learning method, we carried out multi-dimensional evaluation (reward) and multi-dimensional learning simultaneously in one trial. A special neural network (Q-net), in which the weights and the output are represented by vectors, is proposed to realize a critic net-work for Q-learning. The proposed learning method is applied for behavior planning of mobile robots.

음향방출을 이용한 mortar 재료의 미시적 파괴거동에 관한 연구 (A Study on Microscopic Fractrue Behavior of Mortar Using Acoustic Emission)

  • 이준현;이진경;장일영;윤동진
    • 콘크리트학회지
    • /
    • 제10권6호
    • /
    • pp.203-211
    • /
    • 1998
  • 고체내부의 미소파괴시 발생하는 탄성파 방출을 이용하는 음향방출기법은 구조물 또는 재료 내부의 미시적 변형기구를 이해하는데 매우 유익한 수단으로 최근 각 분야에서 다양하게 응용되고 있다. 따라서 본 연구에서는 모르타르 부재의 휨재하 시험시 부재 내부에 발생하는 미시적 손상거동 및 파괴특성을 시험시 연속적으로 모니터링한 AE 신호특성으로부터 평가하였다. 나아가 삼각법을 이용한 2차원 AE 발생원 위치추정으로부터 시험체 노치선단 주변에 대한 AE 발생원 위치를 명확히 하였으며 이들 결과로부터 미소균열의 성장 거동을 연속적으로 모니터링 하였다.