• Transactions of the Korean Society of Machine Tool Engineers
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• v.13 no.5
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• pp.55-61
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• 2004

Chatter monitoring is also important for realizing an unmanned machining system. while many researches were done on this area, it is still a difficult job to detect very small amplitude amount of chattering. A monitoring system using a capacitive spindle displacement sensor was developed to monitor cutting vibration in turning in this research. The variance of the measured spindle displacement signals using the developed sensor was calculated and utilized to quantify the small vibration in machining. The results were compared with variance obtained using a tool dynamometer. The result showed that the developed system could be utilized in monitoring the subtle changes of cutting vibrations with high sensitivity confidence.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2003.04a
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• pp.516-522
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• 2003

Monitoring chattering is also important for realizing an unmanned machining system While many researches were done on this area, it is still a difficult job to detect very small amplitude amount of chattering. A monitoring system using a capacitive spindle displacement sensor was developed to monitor cutting vibration in turning in this research. The variance of the measured spindle displacement signals using the developed sensor was calculated and utilized to quantity the small vibration in machining. The results were compared with variance obtained using a tool dynamometer. The result showed that the developed system could be utilized in monitoring the subtle changes of cutting vibrations with high sensitivity confidence.

• Proceedings of the KIEE Conference
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• 1995.11a
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• pp.142-145
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• 1995

This paper is to develop a measurement system of the displacement distance using ultrasonic sensors. Two 400KHz ultrasonic sensors are used for realizing the measurement system, such as one sensor transmits the sine wave and the other sensor receives this wave. The displacement is measured by the phase difference between transmitting and receiving signals. A phase defecter transforms phase difference to voltage. Because the output voltage pattern has nonlinear characteristics, the relations of the voltage and the distance are learned by a neural network. As the results of teaming, the efficiency of measurement system is improved. This system can measure the displacement distance at the accuracy of 1 micrometer level.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.3_4
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• pp.491-498
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• 2004

Among the components of disposable diaper, the top sheet contacting with baby skin directly is usually made of nonwoven fabrics. Therefore, the tactile properties of the nonwoven fabrics are important for the skin health of infants. In this study, we have explored the surface properties of hygiene nonwoven fabrics (100% cotton spunlace, 100% tencel spunlace, 100% polypropylene (PP) thermalbonding and 100% PP Thru-air bonded carded web (TABCW)), such as friction coefficient and geometrical roughness. used by KES-F system and a laser displacement sensor. Also, we evaluated the subjective responses about the hygiene nonwoven fabrics used by a questionnaire and compared with the objective values, measured by KES-F system and a laser displacement sensor respectively. From the result, we have found that surface sensation (such as soft, smooth, and rough) and bulkiness sensation (such as spongy and fluffy) of nonwovens were represented excellently by L-SMD values which are measured by a laser displacement sensor.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2007.11a
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• pp.235-236
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• 2007

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.10a
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• pp.313-314
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• 2012

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2003.10a
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• pp.379-384
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• 2003

Noise is a problem in many electronic circuits and active control system. Arising from spuriously coupled noise from other circuits, it corrupts the signal of interest and introduces an uncertainty into information it contains. In this paper, re have researched noise characteristics of the inductive displacement sensor which has been designed. n first present basic concept and characteristics of magnetic field-coupled noise in the sensor output signal. Then, n are present relation noise and sensor performances. Finally, we concentrate low noise design of a sensor driver and a signal detection circuit.

• Journal of the Korean Society for Precision Engineering
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• v.22 no.8 s.173
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• pp.42-49
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• 2005

Our purpose is to develop a precision magnetic displacement sensor that has sub-micron resolution and small size probe. To achieve this, we first have tried to establish mathematical models of a magnetic sensor in this paper. The inductance model that presents basic measuring principle of a magnetic sensor is based on equivalent magnetic circuit method. Especially we have concentrated on modeling of magnetic flux leakage and magnetic flux fringing. The induced model is verified by experimental results. The model, including the magnetic flux leakage and flux fringing effects, is in good agreement with the experimental data. Subsequently, based on the augmented model, we will design magnetic sensor probe in order to obtain high performances and to scale down the probe.

• Korean Journal of Optics and Photonics
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• v.17 no.6
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• pp.500-506
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• 2006

An optical fiber displacement sensor has the advantages of relatively simplicity, cheap, small probe size and immunity against environmental perturbation. The working principle of the sensor is based on the intensity modulation that is detection light intensity reflecting from the surface being measured. This paper presents the mathematical model of displacement measurement mechanism of this sensor type. The theoretical and experimental data are compared to verify the model in describing the realistic approach to sensor design. Finally, the analysis results show that displacement response characteristics such as sensitivity, measuring range are easily modified by principal design parameters such as magnitude of optical Power, diameter of optical fiber core and distance between transmitting fiber and receiving fiber.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.15-16
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• 2006

In-process surface roughness prediction is studied in this research. To implement in-process prediction, spindle displacement is introduced. Machined surface's roughness is assumed to be expressed in terms of spindle displacement. In-process measurement of spindle displacement is conducted using CCDS (cylindrical capacitive displacement sensor). Two prediction models are developed. One is simple linear model between measured surface roughness and values by spindle displacement. The other is multiple regression model including machining parameters like spindle speed, fee rate and radial depth of cut. Relation between machined surface roughness and roughness by spindle displacement are verified.