• Title/Summary/Keyword: 3D 프린팅 센서

Search Result 36, Processing Time 0.024 seconds

Fabrication and characteristics of alcohol sensor using Fe2O3 (Fe2O3후막을 이용한 alcohol sensor 제작 및 감응특성)

  • Lee, Y.S.;Song, K.D.;Lee, S.M.;Shim, C.H.;Choi, N.J.;Joo, B.S.;Lee, D.D.;Huh, J.S.
    • Journal of Sensor Science and Technology
    • /
    • v.11 no.2
    • /
    • pp.77-83
    • /
    • 2002
  • In order to get low cost and portability, semiconductor gas sensor need to have low operating temperature and high sensitivity. $Fe_2O_3$ based sensors which were doped with metal oxide catalysts($MoO_3$, $V_2O_5$, $TiO_2$, and CdO) were fabricated by screen printing method. To improve electrical stability of sensors, the $Fe_2O_3$ sensors were annealed in $N_2$ at $700^{\circ}C$ for 2 hours. The $V_2O_5$ doped $Fe_2O_3$ sensor showed about $80{\sim}90%$ sensitivity at alcohol 1,000 ppm and have good selectivity to hydrocarbon gas and tobacco odors. The fabricated sensor and PIC-chip were employed for portable alarm system.

Contact Resistance between Flexible Tactile Sensor Fabricated by Direct Write and Copper Alloy Terminals (Direct write 기술로 제작된 유연촉각센서와 동합금 단자의 접촉저항)

  • Kim, Jindong;Bae, Yonghwan;Yun, Haeyong;Lee, Inhwan;Kim, Hochan
    • Journal of the Korean Society of Manufacturing Process Engineers
    • /
    • v.19 no.10
    • /
    • pp.111-116
    • /
    • 2020
  • Flexible tactile sensors, which are primarily used as grippers in robots, are mainly used to handle highly elastic or highly flexible objects. That is, flexible grippers are used when an object cannot be sufficiently controlled by applying a specific output force or taking a specific grabbing action. This is because a flexible tactile sensor needs to measure the pressure applied directly to held objects while deforming according to the shape of the object to be handled. CNT-based sensors used to be made from a highly flexible polymer to give flexibility and it is known that the sensors are greatly affected by the contact resistance of the terminal that connects the sensor to an electrical circuit; therefore, this paper clarifies the contact resistance of MWCNTs-based flexible tactile sensors and terminals. The effects of main and plating materials for terminals are investigated and the combinations of main and plating materials that exhibit contact resistance are measured in a typical industrial environment.

A study on the digitalization of 3D Pen (3D펜의 디지털화에 대한 연구)

  • Kim, Jong-Young;Jeon, Byung-Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.22 no.6
    • /
    • pp.583-590
    • /
    • 2021
  • This paper is a study on the digitization of an analog 3D pen. The term digital implies features such as homeostasis, transformability, combinability, reproducibility, and convenience of storage. One device that produces a combination of these digital characteristics is a 3D printer, but its industrial use is limited due to low productivity and limitations with materials and physical characteristics. In particular, improvements are required to use 3D printers, such as better user accessibility owing to expertise and skills in modeling software and printers. Complementing this fact is the 3D pen, which is excellent in portability and ease of use, but has a limitation in that it cannot be digitized. Therefore, in order to secure a digitalization capability and ease of use, and to secure the safety of printing materials that pose controversial hazards during the printing process, research problems and alternatives have been derived by combining food, and digitization was demonstrated with a newly developed 3D pen. In order to digitize the 3D pen, a sensor in a structured device detects the motion of an analog 3D pen, and this motion is converted into 3D data (X-Y-Z coordinate values) through a spatial analysis algorithm. To prove this method, the similarity was confirmed by visualization using MeshLab version 1.3.4. It is expected that this food pen can be used in youth education and senior healthcare programs in the future.

Implementation of Automatic Window Control System for Improvement of Indoor Environments based on Aduino and Raspberry Pi (실내 환경 개선을 위한 아두이노와 라즈베리 파이 기반의 창문 자동제어 시스템 구현)

  • Moon, Sunye;Kwon, Daecheol;Jeong, Dahye;Yoo, Seokyeong;Jung, Seunghyun;Jeong, Dongwon
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2017.11a
    • /
    • pp.1231-1234
    • /
    • 2017
  • 이 논문은 실내 환경을 개선하기 위한 창문 자동제어 시스템을 제안한다. 현대인들은 하루에 약 70% 이상을 실내에서 생활하고 있다. 이로 인해 실내 환경의 질이 매우 중요한 요소로 부각되면서 사람들의 관심이 크게 증가하고 있다. 이 논문에서는 아두이노, 라즈베리 파이 및 다양한 센서를 이용하여 실내 환경을 적정수준으로 유지하고 개선할 수 있는 창문 자동제어 시스템을 제안한다. 제안 시스템 구현을 위해 온습도 센서, 미세먼지 센서, 공기 질 센서, 모터 등을 이용한다. 또한 3D프린팅을 이용하여 제작한 프로토타입을 보인다.

Micromachined Multiple Gas Sensor for Automotive Ventilation and Air Conditioning Systems (미세기계가공된 자동차 HVAC 시스템용 다중 가스센서)

  • Choi, W.S.;Lee, S.H.;Kim, S.D.;Park, J.S.;Park, H.D.;Min, N.K.
    • Proceedings of the KIEE Conference
    • /
    • 2006.07c
    • /
    • pp.1637-1638
    • /
    • 2006
  • HVAC 시스템은 쾌적하고 깨끗한 운전환경을 만들어 줌으로써 운전자에게 향상된 안락성과 안전성을 제공한다. 이때 센서는 시시각각으로 변화하는 차실 내외의 환경변화에 대한 정보를 검출하여 HVAC 제어 유니트에 제공한다. 현재 HVAC 시스템에 사용되고 있는 후막 가스센서는 소자 크기와 소비전력이 크고, 제작공정이 까다로워 생산성이 낮은 단점이 있다. 이와 같은 문제점을 해결하기 위해서 최근에는 초소형화, 저소비전력, 대량생산에 의한 저가격화가 가능한 MEMS 가스센서의 연구개발이 활발히 진행되고 있다. 본 연구에서는 MEMS 구조체를 이용한 마이크로 가스센서를 설계 및 제작하였고, 감도특성을 고찰하였다. 가스 감지막은 금속산화물 페이스트를 스크린 프린팅 하는 종래의 방법 대신 MEMS 구조체에 적용 가능한 sol-gel 프로세스에 의해 형성하였다. 또 가스 감지전극과 micro-heater를 동일 평면상에 제작, 공정을 간소화하여 저가화를 시도하였다. MEMS 구조체 위에 제작된 Pt 박막 micro-heater의 인가전압에 따른 발열특성을 조사한 결과, 발열온도가 인가전압에 비례하는 이상적인 선형성을 나타내었으며, $300^{\circ}C$의 동작 온도에 도달하기 위해 65mW 이하의 저전력 동작이 가능하였다. 가스 센서의 감도특성 확인 실험은 CO 가스 10ppm, NO 가스 0.3ppm을 기준으로 수행되었으며, CO 및 NO에 대해 Rs(sensitivity, 가스반응저항/초기저항) 값은 각각 0.753 과 2.416로 우수한 성능을 나타내었다.

  • PDF

Assembly Performance Evaluation for Prefabricated Steel Structures Using k-nearest Neighbor and Vision Sensor (k-근접 이웃 및 비전센서를 활용한 프리팹 강구조물 조립 성능 평가 기술)

  • Bang, Hyuntae;Yu, Byeongjun;Jeon, Haemin
    • Journal of the Computational Structural Engineering Institute of Korea
    • /
    • v.35 no.5
    • /
    • pp.259-266
    • /
    • 2022
  • In this study, we developed a deep learning and vision sensor-based assembly performance evaluation method isfor prefabricated steel structures. The assembly parts were segmented using a modified version of the receptive field block convolution module inspired by the eccentric function of the human visual system. The quality of the assembly was evaluated by detecting the bolt holes in the segmented assembly part and calculating the bolt hole positions. To validate the performance of the evaluation, models of standard and defective assembly parts were produced using a 3D printer. The assembly part segmentation network was trained based on the 3D model images captured from a vision sensor. The sbolt hole positions in the segmented assembly image were calculated using image processing techniques, and the assembly performance evaluation using the k-nearest neighbor algorithm was verified. The experimental results show that the assembly parts were segmented with high precision, and the assembly performance based on the positions of the bolt holes in the detected assembly part was evaluated with a classification error of less than 5%.

Low-cost Prosthetic Hand Model using Machine Learning and 3D Printing (머신러닝과 3D 프린팅을 이용한 저비용 인공의수 모형)

  • Donguk Shin;Hojun Yeom;Sangsoo Park
    • The Journal of the Convergence on Culture Technology
    • /
    • v.10 no.1
    • /
    • pp.19-23
    • /
    • 2024
  • Patients with amputations of both hands need prosthetic hands that serve both cosmetic and functional purposes, and research on prosthetic hands using electromyography of remaining muscles is active, but there is still the problem of high cost. In this study, an artificial prosthetic hand was manufactured and its performance was evaluated using low-cost parts and software such as a surface electromyography sensor, machine learning software Edge Impulse, Arduino Nano 33 BLE, and 3D printing. Using signals acquired with surface electromyography sensors and subjected to digital signal processing through Edge Impulse, the flexing movement signals of each finger were transmitted to the fingers of the prosthetic hand model through training to determine the type of finger movement using machine learning. When the digital signal processing conditions were set to a notch filter of 60 Hz, a bandpass filter of 10-300 Hz, and a sampling frequency of 1,000 Hz, the accuracy of machine learning was the highest at 82.1%. The possibility of being confused between each finger flexion movement was highest for the ring finger, with a 44.7% chance of being confused with the movement of the index finger. More research is needed to successfully develop a low-cost prosthetic hand.

Development of Contact Force Measurement Algorithm for a 3D Printing-type Flexible Tactile Sensor (3D 프린팅 방식 유연 촉각센서의 접촉력 측정 알고리즘 개발)

  • Jeong, Kyeong-Hwa;Lee, Ju-Kyoung;Lee, Suk;Lee, Kyung-Chang
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.21 no.6
    • /
    • pp.583-588
    • /
    • 2015
  • Flexible tactile sensors can provide valuable feedback to intelligent robots regarding the environment around them. This is especially important when robots such as, service robots share a workspace with humans. This paper presents a contact force measurement algorithm of a flexible tactile sensor. This sensor is manufactured by a direct-writing technique, which is one 3D printing method, using multi-walled carbon nano-tubes. An analog signal processing circuit has been designed and implemented to reduce noise contained in the sensor output. In addition, a digital version of the Butterworth filter was implemented by software running on a microcontroller. Through various experiments, characteristics of the sensor system have been identified. Based on three traits, an algorithm to detect the contact and measure the contact force has been developed. The entire system showed a promising prospect to detect the contact over a large and curved area.

Measurement of the Compressive Force on the Knee Joint Model fabricated by 3D Printing (3D 프린팅으로 제작된 무릎 관절모델의 압축력 측정)

  • Jeong, Hoon Jin;Jee, Min-Hee;Kim, So-Youn;Lee, Seung-Jae
    • Journal of the Korean Society of Manufacturing Process Engineers
    • /
    • v.13 no.2
    • /
    • pp.1-7
    • /
    • 2014
  • Recent experimental observations support the hypothesis that mechanical stimuli play a role in regulating the specialized molecular expression of articular cartilage in vitro and in vivo. Other studies have demonstrated that the continuous passive motion(CPM)bioreactor for whole joints can provide a platform for possible future in vitro studies and applications, including possible interactions of bio-mechanical and biochemical signals. In this study, we have developed acustom-made bioreactor capable of bending and stretching with circular type motion, and a biomimetic knee joint model, using a 3D printer. This system could be used to investigate the effects of rehabilitative joint motion of dynamic culture.

Development of Multi-dimensional Flatbed Printer using Head Encoder and Trigger Control (Head Encoder와 Trigger 제어를 이용한 다입체 평판 프린터 개발)

  • Kim, Bong-Hyun
    • Journal of Convergence for Information Technology
    • /
    • v.10 no.10
    • /
    • pp.47-52
    • /
    • 2020
  • The general flatbed printer system is composed of a PC and a dedicated S/W, which is inconvenient to use. In the end, there is a need for a technology that can easily and conveniently use various types of printing through simplification, smartization, etc. of a flatbed printer system configuration. That is, there is an increasing demand for multi-dimensional printer capable of printing on various types of materials with one printer and capable of printing various types of products. Therefore, in this paper, we developed a flatbed printer system capable of multi-dimensional printing using Head Encoder/Trigger control. To this end, we developed a flatbed printer that connects the internal module of the flatbed printer with an input type detection sensor and controls all operating states by the head encoder and head trigger signals of the printer through separate main controllers. Through this, the development and diffusion of IoT technology will expand the printer control of the smart environment to the developed form throughout the industry. It is expected to contribute to the development of the 3D printing industry in the future.