• Composites Research
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• 제35권6호
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• pp.378-393
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• 2022

마찰전기 나노발전기(이하 TENG)의 새로운 발전 기술은 에너지 수집 및 자가 전력 공급 감지 응용 분야의 긍정적 전망으로 인해 점점 더 많은 관심을 받고 있다. 또한 최근 소프트로봇의 부상은 플렉시블과 소프트센서, 액추에이터 개발에 대한 폭넓은 관심을 불러 일으키고 있다. TENG는 액추에이터와 자가 전력 공급 센서를 구동하는 유망한 전원으로 간주되어 소프트웨어 로봇, 소프트 센서 및 액추에이터 개발을 위한 독창적인 방법을 제공한다. 이 리뷰에서는 TENG를 기반으로 다양한 형태와 기능을 가진 소프트웨어 로봇을 소개하려 한다. 그 중 자연계의 구조, 표면 형태, 재료 특성과 센싱/발전 메커니즘을 모방한 바이오닉 소프트 로봇의 설계는 TENG 성능 향상에 큰 도움이 되었다. 또한 다양한 바이오닉 소프트 로봇은 TENG의 간단한 구조, 자체 전력 공급 특성 및 조정 가능한 출력으로 인해 이전 구동 방식보다 향상되었다. 그리하여 이 리뷰에서는 TENG가 활성화한 소프트 로봇 응용의 특정 핵심 영역에서 다양한 연구를 종합적으로 검토하려 한다. 리뷰를 요약하자면 먼저 최근 개발된 다양한 TENG 기반 소프트웨어 로봇을 정리하고 다양한 장비 구조, 표면 형태 및 자연적으로 영감을 받은 재료를 비교 분석하여 그에 따른 TENG 성능 개선을 수행한다. 자연계에 사용되는 다양한 유비쿼터스 감지 원리와 발전 메커니즘 및 유사한 인공 TENG 설계가 확인되었고 촉각 디스플레이 및 웨어러블 기기, 인공 전자 피부 등의 기기에 TENG를 활성화하는 바이오닉 응용에 대해 논의한다. 마지막으로 TENG 기반 센서 및 구동 장비의 로봇 실제 적용에 대한 발전 기회, 도전 및 미래 전망을 분석한다.

• 접착 및 계면
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• 제21권4호
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• pp.162-167
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• 2020

피부 모사형 다기능 유연 센서는 인체 피부의 높은 자극 감지 성능과 기계적 안정성을 모사하고자 다학계적 접근을 통해 발전되어 왔다. 하지만, 실제 적용을 위해서는 일상생활 속에서 접하는 다양한 종류의 자극을 명확히 구분하고 각 자극의 세기를 정확히 감지하는 높은 수준의 자극 구별 능력이 필수적임에도 불구하고, 아직까지 낮은 수준의 자극 구별 능력을 보이는 실정이다. 본고에서는 기존 피부 모사형 유연 센서의 기본적인 작동 메커니즘과 대표적인 연구들을 간략히 소개하고, 최근 보고된 피부 모사형 다기능 유연 센서 관련 연구들의 연구 결과 및 자극 구별 능력에 대해 깊이 있게 다루고자 한다.

• 센서학회지
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• 제32권1호
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• pp.31-38
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• 2023

Three-dimensional (3D) micro/nanostructures based on soft elastomers have received extensive attention in recent years, owing to their potential and advanced applicability. Designing and fabricating 3D micro/nanostructures are crucial for applications in diverse engineering fields, such as sensors, harvesting devices, functional surfaces, and adhesive patches. However, because of their structural complexity, fabricating soft-elastomer-based 3D micro/nanostructures with a low cost and simple process remains a challenge. Bio-inspired designs that mimic natural structures, or replicate their micro/nanostructure surfaces, have greatly benefited in terms of low-cost fabrication, scalability, and easy control of geometrical parameters. This review highlights recent advances in 3D micro/nanostructures inspired by nature for diverse potential and advanced applications, including flexible pressure sensors, energy-harvesting devices based on triboelectricity, superhydrophobic/-philic surfaces, and dry/wet adhesive patches.

• Journal of Magnetics
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• 제8권1호
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• pp.60-69
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• 2003

A review of mechanical sensing techniques based on magnetic methods is presented, with special reference to magnetoelastic strain gauges and force sensors. A novel strain sensor based on soft amorphous ribbons is described. Other types of magnetic sensors, for the measurement of torque and displacement are briefly discussed. An overview of magnetic actuators based on giant magnetostrictive materials, with some practical examples, is presented. Recent advances in the development and application of magnetic shape memory materials are discussed, together with the analysis of recent studies for the description of magnetic shape memory phenomena.

• 한국재료학회:학술대회논문집
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• 한국재료학회 2011년도 춘계학술발표대회
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• pp.16.1-16.1
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• 2011

$TiO_2$ is a promising material for gas sensors. To achieve high sensitivities, the material should exhibit a large surface-to-volume ratio and possess the high accessibility of the gas molecules to the surface. Accordingly, a wide variety of porous $TiO_2$ nanomaterials synthesized by wet-chemical methods have been reported for gas sensor applications. Nonetheless, achieving the large-area uniformity and comparability with well-established semiconductor production processes of the methods is still challenging. An alternative method is soft-templating which utilizes nanostructured inorganic or organic materials as sacrificial templates for the preparation of porous materials. Fabrication of macroporous $TiO_2$ films and hollow $TiO_2$ tubes by soft-templating and their gas sensing applications have been reported recently. In these porous materials composed of assemblies of individual micro/nanostructures, the form of links or necks between individual micro/nanostructures is a critical factor to determine gas sensing properties of the material. However, a systematic study to clarify the role of links between individual micro/nanostructures in gas sensing properties of a porous metal oxide matrix is thoroughly lacking. In this work, we have demonstrated a fabrication method to prepare highly-ordered, embossed $TiO_2$ films composed of anatase $TiO_2$ hollow hemispheres via soft-templating using polystyrene beads. The form of links between hollow hemispheres could be controlled by $O_2$ plasma etching on the bead templates. This approach reveals the strong correlation of gas sensitivity with the form of the links. Our experimental results highlight that not only the surface-to-volume ratio of an ensemble material composed of individual micro/nanostructures but also the links between individual micro/nanostructures play a critical role in evaluating the sensing properties of the material. In addition to this general finding, the facileness, large-scale productivity, and compatability with semiconductor production process of the proposed fabrication method promise applications of the embossed $TiO_2$ films to high-quality sensors.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2016년도 제50회 동계 정기학술대회 초록집
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• pp.363.2-363.2
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• 2016

Stretchable strain sensors are becoming essential in diverse future applications, such as human motion detection, soft robotics, and various biomedical devices. One of the well-known approaches for fabricating stretchable strain sensors is to embed conductive nanomaterials such as metal nanowires/nanoparticles, graphene, conducting polymer and carbon nanotubes (CNTs) within an elastomeric substrate. Among various conducting nanomaterials, CNTs have been considered as important and promising candidate materials for stretchable strain sensors owing to their high electrical conductivity and excellent mechanical properties. In the past decades, CNT-based strain sensors with high stretchability or sensitivity have been developed. However, CNT-based strain sensors which show both high stretchability and sensitivity have not been reported. Herein, highly stretchable and sensitive strain sensors were fabricated by integrating single-walled carbon nanotubes (SWNTs) and nylon textiles via vacuum-assisted spray-layer-by-layer process. Our strain sensors had high sensitivity with 100 % tensile strain (gauge factor ~ 100). Cyclic tests confirmed that our strain sensors showed very robust and reliable characteristic. Moreover, our SWNTs-based strain sensors were easily and successfully integrated on human finger and knee to detect bending and walking motion. Our approach presented here might be route to preparing highly stretchable and sensitive strain sensors with providing new opportunity to realize practical wearable devices.

• 한국기계가공학회지
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• 제14권6호
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• pp.142-148
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• 2015

3D printing technology is a promising technique for fabricating complex 3D architectures based on the CAD/CAM system, and it has been extensively investigated to manufacture structures in the fields of mechanical engineering, space technology, automobiles, and biomedical and electrical applications. Recent advances in the 3D printing of soft structures have received attention for the application of the construction of flexible sensors of soft robotics or the recreation of tissue/organ-specific microenvironments. In this review paper, we would like to focus on delivering state-of-the-art fabrication of soft structures with 3D printing technology and its various applications.

• 센서학회지
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• 제28권4호
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• pp.231-235
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• 2019

We investigated the facile and effective strategy for sensitive and selective $C_2H_5OH$ sensors based on the In-decorated NiO nanoigloos. The In-decorated NiO nanoigloos is fabricated by RF sputtering using 750 nm-diameter polystyrene beads using a soft-template. The morphological evolution based on the Van der Drift model was generated through a heterojunction between In metal and NiO, resulting in a pyramidal rough surface. Upon decorating the In on the NiO surface, high sensitivity and selectivity to $C_2H_5OH$ were observed, and gas sensing mechanism was demonstrated by a high surface-to-volume and double Schottky barrier. We are confident that the method presented in this study will have a significant impact on the fabrication of effective nanostructures and their application for the gas sensors.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2010년도 추계 학술발표회
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• pp.1110-1116
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• 2010

Void ratios are one of the key parameters for exact calculation of settlement of soft groundse. In the study, shear wave velocities of a soft ground were used to measure the field void ratio using bender elements sensors. The bender-element probes were installed in situ at the depths of 3, 5 and 8m on a pre-loading site near Incheon, Korea. During 90 days after installation, the changes of shear wave velocity and ground surface settlement were measured. The field void ratio was estimated from measured shear wave velocities. The void ratio estimated by the shear wave velocity measured by bender elements agrees well with the measured values in the field.

• 센서학회지
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• 제29권4호
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• pp.237-242
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• 2020

This paper deals with relative position estimation using a Kalman filter (KF) based on inertial sensors that have been widely used in various biomechanics-related outdoor applications. In previous studies, the relative position is determined using relative orientation and predetermined segment-to-joint (S2J) vectors, which are assumed to be constant. However, because body segments are influenced by soft tissue artifacts (STAs), including the deformation and sliding of the skin over the underlying bone structures, they are not constant, resulting in significant errors during relative position estimation. In this study, relative position estimation was performed using a KF, where the S2J vectors were adopted as time-varying states. The joint constraint and the variations of the S2J vectors were used to develop a measurement model of the proposed KF. Accordingly, the covariance matrix corresponding to the variations of the S2J vectors continuously changed within the ranges of the STA-causing flexion angles. The experimental results of the knee flexion tests showed that the proposed KF decreased the estimation errors in the longitudinal and lateral directions by 8.86 and 17.89 mm, respectively, compared with a conventional approach based on the application of constant S2J vectors.