• Title/Summary/Keyword: contact detection

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Developing the Non-contact Detection Sensor for sensing Fiber Selvage (원단 변사 감지를 위한 비접촉식 원단 변사 검출 센서 개발)

  • Lee, Dae-Hee;Lee, Jae-Yong
    • Journal of IKEEE
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    • v.20 no.4
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    • pp.454-458
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    • 2016
  • Generally, fix the end of the fabric to pin with the fabric tenter process. At this time, the pin fixing part of the fiber fabric bulges and deforms. The deformation of the textile causes deterioration of the quality of the textile product. Detection of fiber fabric selvage portion is always required in the processing of the fabric. This research is a non-contact sensor for sensing fiber selvage. In this study, Developed a non-contact fabric selvage detecting sensor for use in automatic selvage cutting system. For the production of the fabric selvage detecting sensor prototype it was produced by placing thirty two sensor 2.5 mm interval. The selvage sensor system experimentally confirmed that actual selvage detection is possible.

Arc Detection System using a Spectrometer for Status Monitoring of a Rigid Catenary

  • Jung, No-Geon;Kim, Jae-Moon
    • Journal of Electrical Engineering and Technology
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    • v.12 no.6
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    • pp.2419-2425
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    • 2017
  • In this paper, a system for the precise detection of arcs is proposed for a rigid catenary using a spectrometer. For this purpose, a miniature rigid catenary contact-loss simulator was used. Experiments were performed by varying the amplitude of the excitation frequency with which a real arc can occur using a simulator in the range of 5 to 15 mm. The range of the radiated wavelength of the copper, which is a material in the rigid catenary, and the irradiance were measured using a spectrometer according to the generated contact loss. In addition, the amount was monitored over time and its characteristics were analyzed. The voltage and current of the load were analyzed when the arc occurred due to contact loss. The analytical results will be applied to detect rigid catenary arcs and used as a monitoring system for real vehicles developed in the future. This will prevent abrasion and disconnection in rigid catenary systems.

Contact Detection based on Relative Distance Prediction using Deep Learning-based Object Detection (딥러닝 기반의 객체 검출을 이용한 상대적 거리 예측 및 접촉 감지)

  • Hong, Seok-Mi;Sun, Kyunghee;Yoo, Hyun
    • Journal of Convergence for Information Technology
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    • v.12 no.1
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    • pp.39-44
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    • 2022
  • The purpose of this study is to extract the type, location, and absolute size of an object in an image using a deep learning algorithm, predict the relative distance between objects, and use this to detect contact between objects. To analyze the size ratio of objects, YOLO, a CNN-based object detection algorithm, is used. Through the YOLO algorithm, the absolute size and position of an object are extracted in the form of coordinates. The extraction result extracts the ratio between the size in the image and the actual size from the standard object-size list having the same object name and size stored in advance, and predicts the relative distance between the camera and the object in the image. Based on the predicted value, it detects whether the objects are in contact.

Non-contact Ultrasonic Technique for the Thin Defect Evaluation by the Lamb-EMAT (비접촉 Lamb-EMAT를 이용한 두께감육 평가에 관한 연구)

  • Kim, Tae-Hyeong;Park, Ik-Geun;Lee, Cheol-Gu;Kim, Yong-Gwon;Kim, Hyeon-Muk;Jo, Yong-Sang
    • Proceedings of the KWS Conference
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    • 2005.06a
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    • pp.194-196
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    • 2005
  • Ultrasonic guided waves are gaining increasing attention for the inspection of platelike and rodlike structures. At the same time, inspection methods that do not require contact with the test piece are being developed for advanced applications. This paper capitalizes on recent advances in the areas of guided wave ultrasonics and noncontact ultrasonics to demonstrate a superior method for the nondestructive detection of thinning defects simulating hidden corrosion in thin aluminum plates. The proposed approach uses EMAT(electro-magnetic acoustic transducer) for the noncontact generation and detection of guided plate waves. Interesting features in the dispersive behavior of selected guided modes are used for the detection of plate thinning. It is shown that mode cutoff measurements provide a qualitative detection of thinning defects. Measurement of the mode group velocity can be also used to quantify of thinning depth.

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Detection of Contact and Slip in Robot Grippers Using Acoustic Emission (AE를 이용한 로봇그립퍼에서 접촉과 미끄러짐 감시)

  • 최기상;최기흥
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.19 no.7
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    • pp.1581-1589
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    • 1995
  • The feasibility of using AE for detecting contact and slip between a workpiece and an end effector has been tested. Specifically, the relationship between the contact and slip motion and the characteristics of the AE signal is theoretically and experimentally investigated. The experimental results manifest that the high sensitivity of AE signal to the contact and slip makes it a good alternative as a robot tactile sensor.

Development of Managing System of Vision Probe for CMM (3차원 측정기용 비젼프로브 운용시스템 개발)

  • 박재성;박희재;김구영
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.11a
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    • pp.501-505
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    • 1996
  • In CMM system, a contact probe is not applicable to very small, or flexible elements. There is need to develop non-contact probes of CCD camera. But non-contact probes have some technical problems, including distortion, user interface and time delay. This development gives the foundation of the non-contact probe system and some useful solutions for the problems. The results can be useful for industry application.

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Increased Sensitivity of Carbon Nanotube Sensors by Forming Rigid CNT/metal Electrode

  • Park, Dae-Hyeon;Jeon, Dong-Ryeol
    • Proceedings of the Korean Vacuum Society Conference
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    • 2011.08a
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    • pp.348-348
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    • 2011
  • Carbon nanotube (CNT) field effect transistors and sensors use CNT as a current channel, of which the resistance varies with the gate voltage or upon molecule adsorption. Since the performance of CNT devices depends very much on the CNT/metal contact resistance, the CNT/electrode contact must be stable and the contact resistance must be small. Depending on the geometry of CNT/electrode contact, it can be categorized into the end-contact, embedded-contact (top-contact), and side-contact (bottom-contact). Because of difficulties in the sample preparation, the end-contact CNT device is seldom practiced. The embedded-contact in which CNT is embedded inside the electrode is desirable due to its rigidness and the low contact resistance. Fabrication of this structure is complicated, however, because each CNT has to be located under a high-resolution microscope and then the electrode is patterned by electron beam lithography. The side-contact is done by depositing CNT electrophoretically or by precipitating on the patterned electrode. Although this contact is fragile and the contact resistance is relatively high, the side-contact by far has been widely practiced because of its simple fabrication process. Here we introduce a simple method to embed CNT inside the electrode while taking advantage of the bottom-contact process. The idea is to utilize a eutectic material as an electrode, which melts at low temperature so that CNT is not damaged while annealing to melt the electrode to embed CNT. The lowering of CNT/Au contact resistance upon annealing at mild temperature has been reported, but the electrode in these studies did not melt and CNT laid on the surface of electrode even after annealing. In our experiment, we used a eutectic Au/Al film that melts at 250$^{\circ}C$. After depositing CNT on the electrode made of an Au/Al thin film, we annealed the sample at 250$^{\circ}C$ in air to induce eutectic melting. As a result, Au-Al alloy grains formed, under which the CNT was embedded to produce a rigid and low resistance contact. The embedded CNT contact was as strong as to tolerate the ultrasonic agitation for 90 s and the current-voltage measurement indicated that the contact resistance was lowered by a factor of 4. By performing standard fabrication process on this CNT-deposited substrate to add another pair of electrodes bridged by CNT in perpendicular direction, we could fabricate a CNT cross junction. Finally, we could conclude that the eutectic alloy electrode is valid for CNT sensors by examine the detection of Au ion which is spontaneously reduced to CNT surface. The device sustatined strong washing process and maintained its detection ability.

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Model-based and wavelet-based fault detection and diagnosis for biomedical and manufacturing applications: Leading Towards Better Quality of Life

  • Kao, Imin;Li, Xiaolin;Tsai, Chia-Hung Dylan
    • Smart Structures and Systems
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    • v.5 no.2
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    • pp.153-171
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    • 2009
  • In this paper, the analytical fault detection and diagnosis (FDD) is presented using model-based and signal-based methodology with wavelet analysis on signals obtained from sensors and sensor networks. In the model-based FDD, we present the modeling of contact interface found in soft materials, including the biomedical contacts. Fingerprint analysis and signal-based FDD are also presented with an experimental framework consisting of a mechanical pneumatic system typically found in manufacturing automation. This diagnosis system focuses on the signal-based approach which employs multi-resolution wavelet decomposition of various sensor signals such as pressure, flow rate, etc., to determine leak configuration. Pattern recognition technique and analytical vectorized maps are developed to diagnose an unknown leakage based on the established FDD information using the affine mapping. Experimental studies and analysis are presented to illustrate the FDD methodology. Both model-based and wavelet-based FDD applied in contact interface and manufacturing automation have implication towards better quality of life by applying theory and practice to understand how effective diagnosis can be made using intelligent FDD. As an illustration, a model-based contact surface technology an benefit the diabetes with the detection of abnormal contact patterns that may result in ulceration if not detected and treated in time, thus, improving the quality of life of the patients. Ultimately, effective diagnosis using FDD with wavelet analysis, whether it is employed in biomedical applications or manufacturing automation, can have impacts on improving our quality of life.

Study on the Development of Road Icing Forecast and Snow Detection System Using State Evaluation Algorithm of Multi Sensoring Method (복합 센서의 상태 판정 알고리즘을 적용한 노면결빙 예측 및 강설 감지 시스템 개발에 관한 연구)

  • Kim, Jong-Woo;Jung, Young-Woo;Nam, Jin-Won
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.17 no.5
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    • pp.113-121
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    • 2013
  • The road icing forecast and snow detection system using state evaluation algorithm of multi sensor optimizes snow melting system to control spread time and amount of chemical spread application This system operates integrated of contact/non-contact sensor and infrared camera. The state evaluation algorithm of the system evaluates road freezing danger condition and snowfall condition (snowfall intensity also) using acquired data such as temperature/humidity, moisture detection and result of image signal processing from field video footage. In the field experiment, it proved excellent and reliable evaluated result of snowfall state detection rate of 89% and wet state detection rate of 94%.

A Computational Efficient General Wheel-Rail Contact Detection Method

  • Pombo Joao;Ambrosio Jorge
    • Journal of Mechanical Science and Technology
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    • v.19 no.spc1
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    • pp.411-421
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    • 2005
  • The development and implementation of an appropriate methodology for the accurate geometric description of track models is proposed in the framework of multibody dynamics and it includes the representation of the track spatial geometry and its irregularities. The wheel and rail surfaces are parameterized to represent any wheel and rail profiles obtained from direct measurements or design requirements. A fully generic methodology to determine, online during the dynamic simulation, the coordinates of the contact points, even when the most general three dimensional motion of the wheelset with respect to the rails is proposed. This methodology is applied to study specific issues in railway dynamics such as the flange contact problem and lead and lag contact configurations. A formulation for the description of the normal contact forces, which result from the wheel-rail interaction, is also presented. The tangential creep forces and moments that develop in the wheel-rail contact area are evaluated using : Kalker linear theory ; Heuristic force method ; Polach formulation. The methodology is implemented in a general multibody code. The discussion is supported through the application of the methodology to the railway vehicle ML95, used by the Lisbon metro company.