• Title/Summary/Keyword: Smart Material

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Development of Estimation Method of Sensing Ability According to Smart Sensor Types (지적센서 형태에 따른 센싱능력 분석기법 개발)

  • Hwang, Seong-Youn;Hong, Dong-Pyo;Kang, Hee-Young;Park, Jun-Hong;Hong, Jin-Who
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2000.11a
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    • pp.330-335
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    • 2000
  • This paper deals with sensing ability of smart sensor that has a sensing ability of distinguish materials. We have developed new signal processing method that have distinguish different materials. We made the two type of smart sensors for experiment. The first type of smart sensor is H2 type. The second type of smart sensor is HH type. The smart sensor was developed for recognition of material. And then we developed estimation method of sensing ability of smart sensors. The first method(Sensing Ability Index) is developed for H2 smart sensor. The second method($R_{SAI}$ Index) is developed for HH smart sensor. We estimated sensing ability of smart sensor with new SAI and $R_{SAI}$ method. This paper describes our primary study for a new method of estimate sensing ability of smart sensor, which is need for precision work system. This is a study of dynamic characteristics of smart sensor according to frequency and displacement changing with new SAI and $R_{SAI}$ method. Experiment and analysis are executed for proper dynamic sensing condition. First, we developed advanced smart sensors. Second, we develop new SAI and $R_{SAI}$ methods that have a sensing ability of distinguish materials. Dynamic characteristics of smart sensor are evaluated through new SAI and $R_{SAI}$ method relatively. We can use the new SAI and $R_{SAI}$ method for finding materials. Applications of this method are finding abnormal condition of object(auto-manufacturing), feeling of object(medical product), robotics, safety diagnosis of structure, etc.

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Additive Manufacturing for Sensor Integrated Components (센서 융합형 지능형 부품 제조를 위한 적층 제조 기술 연구)

  • Jung, Im Doo;Lee, Min Sik;Woo, Young Jin;Kim, Kyung Tae;Yu, Ji-Hun
    • Journal of Powder Materials
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    • v.27 no.2
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    • pp.111-118
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    • 2020
  • The convergence of artificial intelligence with smart factories or smart mechanical systems has been actively studied to maximize the efficiency and safety. Despite the high improvement of artificial neural networks, their application in the manufacturing industry has been difficult due to limitations in obtaining meaningful data from factories or mechanical systems. Accordingly, there have been active studies on manufacturing components with sensor integration allowing them to generate important data from themselves. Additive manufacturing enables the fabrication of a net shaped product with various materials including plastic, metal, or ceramic parts. With the principle of layer-by-layer adhesion of material, there has been active research to utilize this multi-step manufacturing process, such as changing the material at a certain step of adhesion or adding sensor components in the middle of the additive manufacturing process. Particularly for smart parts manufacturing, researchers have attempted to embed sensors or integrated circuit boards within a three-dimensional component during the additive manufacturing process. While most of the sensor embedding additive manufacturing was based on polymer material, there have also been studies on sensor integration within metal or ceramic materials. This study reviews the additive manufacturing technology for sensor integration into plastic, ceramic, and metal materials.

Active monitoring of pipeline tapered thread connection based on time reversal using piezoceramic transducers

  • Hong, Xiaobin;Song, Gangbing;Ruan, Jiaobiao;Zhang, Zhimin;Wu, Sidong;Liu, Guixiong
    • Smart Structures and Systems
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    • v.18 no.4
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    • pp.643-662
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    • 2016
  • The monitoring of structural integrity of pipeline tapered thread connections is of great significance in terms of safe operation in the industry. In order to detect effectively the loosening degree of tapered thread connection, an active sensing method using piezoceramic transducers was developed based on time reversal technique in this paper. As the piezoeramic transducers can be either as actuators or sensors to generate or detect stress waves, the energy transmission for tapered thread connection was analyzed. Subsequently, the detection principle for tapered thread connection based on time reversal was introduced. Finally, the inherent relationship between the contact area and tightness degree of tapered thread connection for the pipe structural model was investigated. Seven different contact area scenarios were tested. Each scenario was created by loosening connectors ranging from 3 turns to 4.5 turns in the right tapered threads when the contact area in the left tapered threads were 4.5 turns. The experiments were separately conducted with a highly noisy environment and various excitation signal amplitudes. The results show the focused peaks based on time reversal have the monotonously rising trend with the increase of the contact areas of tapered threads within an acceptable monitoring resolution for metal pipes. Compared with the energy method, the proposed time reversal based method to monitor tapered threads loosening demonstrates to be more robust in rejecting noise in Structural Health Monitoring (SHM) applications.

Development and Evaluation of Wearable Smart Clothing for Combined EMG Devices (웨어러블 근전도 디바이스 결합형 스마트의류 개발 및 성능평가)

  • Sojung Lee;Hyelim Kim;Wonyoung Jeong
    • Fashion & Textile Research Journal
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    • v.25 no.2
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    • pp.210-220
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    • 2023
  • Recently, smart wearable products, including electromyography (EMG) measurement devices and clothing, have been developed to monitor users' exercise levels, muscle activation, and muscle balance more effectively during fitness activities. However, technical and socioeconomic barriers, such as flexibility and durability, still pose challenges in terms of comfort, ease of wear, and wearability of smart clothing, which includes devices and circuits. To address these issues, this study developed a wearable EMG device integrated with clothing to collect valid EMG signals from desired muscles while maintaining comfort, functionality, and ease of wear. After deriving a combined structure that could stably position the wearable device within the clothing, a prototype was manufactured and evaluated for fit, compression, comfort, and exercise comfort test by ten participants (height = 176.2 cm, weight = 76.4 kg, chest circumference = 101.2 cm). The study found that the prototype had smaller circumferences around the chest, waist, and abdomen compared to commercial products, resulting in lower ratings for wearing comfort and ease of wear. However, the prototype received high ratings for fitting, pressure, and the exercise comfort test. Valid signals were obtained when the EMG device was combined to the prototype for the rectus femoris muscle, indicating stable positioning of the device during exercise.

Development Smart Sensor & Estimation Method to Recognize Materials (대상물 인식을 위한 지능센서 및 평가기법 개발)

  • Hwang, Seong-Youn;Hong, Dong-Pyo;Chung, Tae-Jin;Kim, Young-Moon
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.15 no.3
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    • pp.73-81
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    • 2006
  • This paper describes our primary study for a new method of recognizing materials, which is need for precision work system. This is a study of dynamic characteristics of smart sensors, new method$(R_{SAI})$ has the sensing ability of distinguishing materials. Experiment and analysis are executed for finding the proper dynamic sensing condition. First, we developed advanced smart sensor. We made smart sensors for experiment. The type of smart sensor is HH type. The smart sensor was developed for recognition of material. Second, we develop new estimation methods that have a sensing ability of distinguish materials. Dynamic characteristics of sensor are evaluated through new recognition index$(R_{SAI})$ that ratio of sensing ability index. Distinguish of object is executed with $R_{SAI}$ method relatively. We can use the $R_{SAI}$ method for finding materials. Applications of this method are finding abnormal condition of object (auto-manufacturing), feeling of object(medical product), robotics, safety diagnosis of structure, etc.

Overview and Future Concerns for Recycling Glass Wastes (폐(廢)스마트 유리제품(琉璃製品) 재활용(再活用) 현황(現況)과 기술(技術) 전망(展望))

  • Hong, Hyun Seon;Cho, Bong-Gyoo
    • Resources Recycling
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    • v.22 no.4
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    • pp.22-32
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    • 2013
  • Glass materials possess unique functional characteristics of ceramics different from those of metals, which has marked glass as one of the mainstay materials in the history of mankind. Nowadays, industrial sophistication necessitates comparable "smart" attributes of glass materials as a significantly advanced form of sophistication. Smart glasses are increasingly applied in many state-of-the-art digital appliances such as displays and semiconductors and waste is also expected to accumulate therefrom in the near future: More than 60,000 tons of smart glass wastes were reported as of 2012, for example. In the present paper, current status of domestic Korean smart glass industry and related recycling enterprise have been comprehensively investigated. Finally, Korean domestic smart glass recycling technology and its future prospect are also briefly presented.

Stick-slip Characteristics of Magnetorheological Elastomer under Magnetic Fields (자기장에 따른 자기유변탄성체의 스틱 슬립 현상 연구)

  • Lian, Chenglong;Lee, Kwang-Hee;Kim, Cheol-Hyun;Lee, Chul-Hee;Choi, Jong Myoung
    • Tribology and Lubricants
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    • v.31 no.1
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    • pp.6-12
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    • 2015
  • This paper investigates the stick-slip characteristic of magnetorheological elastomer (MRE) between an aluminum plate and the surface of the MRE. MRE is a smart material and it can change its mechanical behavior with the interior iron particles under the influence of an applied magnetic field. Stick-slip is a movement of two surfaces relative to each other that proceeds as a series of jerks caused by alternate sticking from friction and sliding when the friction is overcome by an applied force. This special tribology phenomenon can lead to unnecessary wear, vibration, noise, and reduced service life of work piece. The stick-slip phenomenon is avoided as far as possible in the field of mechanical engineering. As this phenomenon is a function of material property, applied load, and velocity, it can be controlled using the characteristics of MRE. MRE as a soft smart material, whose mechanical properties such as modulus and stiffness can be changed via the strength of an external magnetic field, has been widely studied as a prospective replacement for general rubber in the mechanical domain. In this study, friction force is measured under different loads, speed, and magnetic field strength. From the test results, it is confirmed that the stick-slip phenomenon can be minimized under optimum conditions and can be applied in various mechanical components.

Electromagnetic wave Shielding Materials for the Wireless Power Transfer Module in Mobile Handset (휴대단말기 무선전력 전송모듈용 전자기파 차폐소재)

  • Bae, Seok;Choi, Don-Chul;Hyun, Soon-Young;Lee, Sang Won
    • Journal of the Korean Magnetics Society
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    • v.23 no.2
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    • pp.68-76
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    • 2013
  • Currently, wireless power transmission technology based on magnetic induction was employed in battery charger for smart phone application. The system consists of wireless power transmitter in base station and receiver in smart phone. Size and thickness of receiver was strictly limited in the newest smart phone. In order to achieve high efficiency of a tiny small wireless power receiver module, sub-millimeter thick electromagnetic wave shielding sheet having high permeability and Q was essential component. It was found that magnetic field from transmitter to receiver can be intensified by sufficient shielding cause to minimize leakage magnetic flux by those magnetic properties. This leads to high efficiency of wireless power transmission and protects crucial integrated circuit of main board from electromagnetic noise. The important soft magnetic materials were introduced and summarized for the current small-power wireless power charger and NFC application and mid-power home appliance and high-power automotive application in the near future.