• Journal of Computational Design and Engineering
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• v.3 no.1
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• pp.71-90
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• 2016

Steel nitriding is a thermo-chemical process leading to surface hardening and improvement in fatigue properties. The process is strongly influenced by many different variables such as steel composition, nitrogen potential, temperature, time, and quenching media. In the present study, the influence of such parameters affecting physic-chemical and mechanical properties of nitride steels was evaluated. The aim was to streamline the process by numerical-experimental analysis allowing defining the optimal conditions for the success of the process. Input parameters-output results correlations were calculated through the employment of a multi-objective optimization software, modeFRONTIER (Esteco). The mechanical and microstructural results belonging to the nitriding process, performed with different processing conditions for various steels, are presented. The data were employed to obtain the analytical equations describing nitriding behavior as a function of nitriding parameters and steel composition. The obtained model was validated, through control designs, and optimized by taking into account physical and processing conditions.

• Journal of the Korean Institute of Telematics and Electronics D
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• v.34D no.10
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• pp.68-76
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• 1997

In this paper, design parameters of rapid thermal processing(RTP) to minimize the wafer temperature uniformity errors are proposed. Lamp ring positions and the wafer height are important parameters for wafer temperature uniformity in RTP. We propose the method to seek lamp ring positions and the wafer gheight for optimal temperature uniformity. The proposed method is applied to seek optimal lamp ring positions and the wafer feight of 8 inch wafer. To seek the optimal lamp ring positions and the wafer height, we vary lamp ring positions and the wafer height and then formulate the wafer temperature uniformity problem to the linear programming problem. Finally, it is shown that the wafer temperature uniformity in RTP designed by optimal problem. Finally, it is hsown that the wafer temperature uniformity is RTP designed by optimal parameters is improved to comparing with RTP designed by the other method.

• Journal of the Korean Institute of Telematics and Electronics
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• v.25 no.6
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• pp.637-646
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• 1988

The CMOS physical parameters are extracted using by processing models in fabrication steps, processing parameters, fabrication disturbances, control parameters. Statistical CMOS process and device simulator is proposed to evaluate the effect of inherent fluctuations in IC fabrication. Using this simulator, we perform worst case analysis in terms of statistically independent disturbances and compare this proposed method to Monte Carlo method, previous Worst Case method. And simulation results with this proposed method are more accurate than the past worst case analysis. This package is written in C language and runs on a IBM PC AT(OPUS).

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.7 no.4
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• pp.109-114
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• 2008

The fractal dimension aims to quantitatively define the irregular characteristics of the shape in nature. It can be useful in describing morphological characteristics of various wear particles. This paper was undertaken to diagnose failure condition for sliding members in lubrication using fractal dimension. The experiments were undertaken to analyze the shape of wear particles and to diagnose failure condition for sliding members in lubrication using the image processing and the fractal parameters. It was possible to diagnose wear mechanism, friction, and damage state of machines through analysis of shape characteristics for wear particle in driven condition using fractal parameters.

• Journal of Information Processing Systems
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• v.16 no.2
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• pp.394-405
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• 2020

The parameters of transmission lines have an influence on the electromagnetic environment surrounding the line. This paper proposes a method based on phasor measurement unit (PMU) and supervisory control and data acquisition (SCADA) to achieve online estimation of transmission line full parameters, such as resistance, reactance and susceptance. The proposed full parameter estimation method is compared with the traditional method of estimating resistance independently based on SCADA system. Then, the electromagnetic environment is analyzed based on the different parameter estimation methods. The example results illustrate that online estimation of transmission line full parameters is more accurate in the analysis of electromagnetic environment, which further confirms its necessity and significance in engineering application.

• Journal of the Korean Society for Precision Engineering
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• v.12 no.5
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• pp.33-39
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• 1995

This paper presents a method of detecting localized defects on tapered roller bearing in main spindle of machine tool system. The statistical parameters in time-domain processing technique have been calculated to extract useful features from bearing vibration signals. These features are used by the input feature of an artificial neural network to detect and diagnose bearing defects. As a results, the detection of bearing defect conditions could be successfully performed by using an artificial neural network with statistical parameters of acceleration signals.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.04b
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• pp.414-419
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• 1995

The wire displacement of wire electric discharge machine has been measured using He-Ne laser. A measurement system consisted of He-Ne laser, A/D converter, 4 divided photodiode, amplifier, sensor process instrument, and personal computer. The processing parameters were varid with feed rate, wire tension, wire speed and voltage. The laser beam intensity transmitted on a 4 divided photodiode was varied by processing wire electric descharge machine with various process parameters. The 4 divided photodiode and amplifier were used to change the detected beam intensity into voltage. Variation of wire displacement was between 11 and 125 .mu. m. The wire tension was dominant on the variation of wire displacement among many parameters.

• Laser Solutions
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• v.2 no.2
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• pp.8-17
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• 1999

This study includes a basic feature of laser surface alloying for enhancing the surface properties of materials. Effects of laser processing parameters such as beam power, beam size, scanning speed on the shape and composition of alloyed layer was simulated in case of moving beam conditions (2-dimensional numerical methods). Simulated results were compared with experiments, in which the plasma coating of 80% Ni ＋ 20% Cr deposited on the SS41 substrate was remelted with CO2 laser with Gaussian energy distribution. Simulation and experiments revealed that the shape (dimension)and composition of laser alloyed layer were strongly dependent upon the process parameters, especially interaction time (travel speed) as compared to beam diameter, beam power and absorptivity. The shape and composition of alloyed layervaried more or less exponentially with parameters.

• Transactions of Materials Processing
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• v.11 no.8
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• pp.701-709
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• 2002

Aluminium foam material is highly porous material, which has the complicated cellular structure defined by randomly distributed pores in metallic matrix. This structure gives the characteristic properties which cannot be achieved by any other conventional processes. As the properties of aluminium foam material significantly depend on its porosity, a desired profile of properties can be tailored by changing the foam density. But various defects lead to undesirable effects on the mechanical properties. Mechanical properties are dependent on cell sizes and aspect ratios. Therefore, this paper presents the effects of various processing parameters of various parameters on the mechanical properties. For the sake of this, combined stirring was used to fabricate aluminum foam materials by the parameters. Compression and bending tests were performed to investigate the effects of cell sizes and aspect ratios on the mechanical properties.

• The Transactions of the Korea Information Processing Society
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• v.6 no.3
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• pp.710-721
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• 1999

In this paper, we have designed and implemented a parameter extraction system for analyzing Internet using SNMP. The extraction system has two modules; one is collection request module, and the other is analysis request module. The collection request module generates a polling script, which is used to collect management information from the managed system periodically. With this collected data, analysis request module extracts analysis parameters. These parameters are traffic flow analysis, interface traffic analysis, packet traffic analysis, and management traffic analysis parameter. For management activity, we have introduced two-step-analysis-view. One is Summary-View, which is used find out malfunction of a system among the entire managed systems. The Other is Specific-View. With this view we can analyze the specific system with all our analysis parameters. To show available data as indicators for line capacity planning, network redesigning decision making of performance upgrade for a network device and things like that.