• 한국기계가공학회지
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• 제15권1호
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• pp.81-88
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• 2016

Recently, high-efficiency machining in the production of high-value products with complex shapes has constantly been required along with the need for hybrid machining. In this study, in addition to wire-cut Electric Discharge Machining (EDM) and vibration, we present the possibility of a hybrid process by carrying out an experiment with aluminum alloy, and the hybrid process determines the nature of the surface. The selected experimental parameters are waveform, amplitude, peak current, and two-dimensional (2D) vibration. The experimental results give the guideline for selecting reasonable machining parameters. The surface roughness was improved about 20% with increases in the amplitude of the vibration.

• 한국기계가공학회지
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• 제14권4호
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• pp.100-107
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• 2015

Recently, high-efficiency machining in the production of high-value products with a complex shape has constantly been required with the need for hybrid machining. In this study, in addition to the wire-cut E.D.M. and vibration used to present the possibility of a hybrid process by carrying out the aluminum alloy experiment, the hybrid process determines the nature of the surface. The selected experimental parameters are horizontality, waveform, amplitude, peak current, and frequency. The experimental results give guidelines for selecting reasonable machining parameters. The surface roughness was improved by about 20% with increases in the amplitude of the vibration.

• Design & Manufacturing
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• 제17권2호
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• pp.15-21
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• 2023

In this study, a diamond turning machine and a laser-assisted machining module were utilized for the complex combined cutting of aspheric shapes and fine patterns on the surface of high-hardness brittle material, silicon. The analysis of material's form accuracy and corrective machining was conducted based on key factors such as laser output, rotational speed, feed rate, and cutting depth to achieve form accuracy below 1 ㎛ and surface roughness below 0.1 ㎛. The cutting condition and corrective machining methods were investigated to achieve the desired form accuracy and surface roughness. The rotational speed of the spindle and the linear feed rate of the diamond turning machine were varied in five stages for the cutting condition test. Surface roughness and form accuracy were measured using both a contact surface profilometer and a non-contact surface profilometer. The experimental results revealed a tendency of improved surface roughness with increased rotational speed of the workpiece, and the best surface roughness and form accuracy were observed at a feed rate of 5 mm/min. Furthermore, based on the cutting condition experiments, corrective machining was performed. The experimental results demonstrated an improvement in form accuracy from 0.94 ㎛ to 0.31 ㎛ and a significant reduction in the average value of the surface roughness curve from 0.234 ㎛ to 0.061 ㎛. This research serves as a foundation for future studies focusing on the machinability in relation to laser output parameters.

• 한국지반공학회논문집
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• 제15권3호
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• pp.131-149
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• 1999

여러 연구들을 통하여 표면 거칠음 정도가 접촉면 전단력에 매우 중요함이 밝혀졌으며, 따라서 그 역할을 충분히 이해하기 위해서는 표면 거칠음 정도가 정확히 정량화 되어야 한다. 이 연구에서는 표면 형상을 정량화하기 위하여 일반적으로 사용되는 표면 거칠기 매개변수와 측정방법에 대하여 여러 참고문헌들을 검토하였다. 이것을 바탕으로 Normalized Roughness Parameter, $R_n$ (Uesugi and Kishida, 1986), Profile Roughness Parameter, $R_L$, 그리고 Surface Roughness Parameter, $R_n$(Dove and Frost, 1996)가 적합한 표면 거칠기 매개변수로 선택되었으며, 디지털 이미지 분석 시스템을 이용한 Optical Profile Microscopy(OPM) 방법을 표면 거칠음 측정방법으로 선택하였다 이 실험장비를 이용하여 일반적으로 사용되는 지오멤브레인의 표면과 표면 패턴을 대표하는, 표면이 매끄러운 것과 3가지 종류의 돌기형 HDPE 지오멤브레인을 사용하여, 전단 시험에 사용되지 않았던 지오멤브레인과 전단시험후의 지오멤브레인에 대한 표면 거칠음 정도의 정량화 작업을 수행하였다. 그 결과, $R_L과\; R_S$값은 이 연구에 사용된 지오멤브레인의 거칠음 정도를 충분한 측정범위로 표현할 수 있는 매개변수로 밝혀졌으나, $R_n$값은 충분히 표면 거칠음 정도의 차이를 표현하기에는 부족하게 매우 좁은 변화 범위를 나타내었다. 이 연구는 접촉면에서 표면 거칠음 정도가 접촉면 전단력에 미치는 영향을 조사하고자 우선적으로 표면 거칠음 정도의 정량화 작업을 연구한 것이다.

• 한국기계가공학회지
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• 제16권3호
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• pp.131-137
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• 2017

In this study, we evaluated the surface roughness of mold and injected parts manufactured by polycarbonate (PC) injection molding. The mold surface was polished to produce six differentiated roughnesses with 12 areas using stones (#800, #1200), sandpapers (#800, #1200), and diamond compounds (#8000, #14000). Injected parts were created using 20mm/s injection speed, 80 bar holding pressure for 5 seconds, and $70^{\circ}C$ cooling water. Injected parts surface roughness (Sa) was measured randomly in 10 of 30 using an interferometer (NewView8000, zygo, USA). In the same way, mold surface was measured randomly 10 times on 12 polished areas. Surface roughness of molds and injected parts were compared, and a regression equation to predict mold surface roughness was proposed for specific injection molding parameters.

• 대한기계학회논문집A
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• 제33권5호
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• pp.514-520
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• 2009

In configuring an automated polishing system, a monitoring scheme to estimate the surface roughness is necessary. In this study, a precision polishing process, magnetic abrasive finishing (MAF), along with an in-process monitoring setup was investigated. A magnetic tooling is connected to a CNC machining to polish the surface of stavax(S136) die steel workpieces. During finishing experiments, both AE signals and force signals were sampled and analysed. The finishing results show that MAF has nano scale finishing capability (upto 8nm in surface roughness) and the sensor signals have strong correlations with the parameters such as gap between the tool and workpiece, feed rate and abrasive size. In addition, the signals were utilized as the input parameters of artificial neural networks to predict generated surface roughness. Among the three networks constructed -AE rms input, force input, AE+force input- the ANN with sensor fusion (AE+force) produced most stable results. From above, it has been shown that the proposed sensor fusion scheme is appropriate for the monitoring and prediction of the nano scale precision finishing process.

• Journal of electromagnetic engineering and science
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• 제10권4호
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• pp.212-218
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• 2010

The radar backscatter from various earth surfaces is sensitive to the frequency of the incident wave. This study examined the radar sensitivities for surface parameters such as soil moisture content and surface roughness of both bare and vegetated surfaces at X-band. Because L-band frequencies are often used for sensing the surface parameters, the sensitivities of X-band are also compared with those of the L-band. The sensitivities of the X-band radar backscatter were examined with respect to soil moisture content and surface roughness of rough bare soil surfaces. These sensitivities were also examined using the same parameters for vegetated surfaces for various vegetation densities and incidence angles. Use of the X-band radar for soil moisture detection was as effective as L-band radar for bare soil surfaces. For vegetated surfaces, the soil moisture could be detected using an X-band radar at lower incidence angles, where the upper limit of the incidence angles was dependent on vegetation density.

• 소성∙가공
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• 제30권3호
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• pp.125-133
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• 2021

In this study, response surface method (RSM), back propagation neural network (BPNN), and genetic algorithm (GA) were used for modeling and multi-objective optimization of the parameters of AA5052-H32 in incremental sheet forming (ISF). The goal of optimization is to determine the maximum forming angle and minimum surface roughness, while varying the production process parameters, such as tool diameter, tool spindle speed, step depth, and tool feed rate. A Box-Behnken experimental design (BBD) was used to develop an RSM model and BPNN model to model the variations in the forming angle and surface roughness based on variations in process parameters. Subsequently, the RSM model was used as the fitness function for multi-objective optimization of the ISF process the GA. The results showed that RSM and BPNN can be effectively used to control the forming angle and surface roughness. The optimized Pareto front produced by the GA can be utilized as a rational design guide for practical applications of AA5052 in the ISF process

• 대한기계학회논문집A
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• 제34권1호
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• pp.35-41
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• 2010

본 논문에서는 레이저 산란 영상을 이용하여 표면거칠기를 실험적으로 규명하였다. 우선, 레이저 산란 매개변수들과 표면형상에 따라 나타나는 광로의 편향성에 대해 고찰하였고, 이를 이용하여 레이저 산란 검사 시스템을 구성하였다. 연삭표면에서 획득한 레이저 산란 영상을 분석한 결과 영상에서 수직방향으로 나타나는 산란광 분포영역이 증가와 감소를 반복하는 특징이 나타났다. 이러한 차별적 특징을 표현하는 레이저 산란 영상을 획득하기 위해 실험계획법을 이용하여 레이저 산란변수들의 최적조건을 선정하였고, 연삭표면에서 표면거칠기가 증가함에 따라 레이저 산란 영상 내에서 수직방향으로 나타나는 산란광 분포 영역이 선형적으로 증가함을 알 수 있었다. 이러한 정보는 마이크로 표면의 평가 및 거칠기 측정 시 주요한 인자로 사용될 수 있을 것이다.

• 전기학회논문지
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• 제59권4호
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• pp.749-753
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• 2010

We investigated the haze and the surface roughness of textured Si substrates etched by $XeF_2$ etching system with the etching parameters of $XeF_2$ pressure, etching time, and etching cycle. Here the haze was obtained as a function of wavelength from the measured reflectance. The haze of textured Si substrates was strongly affected by the etching parameter of etching cycle. The surface roughness of textured Si substrates was calculated with the haze and the scalar scattering theory at the wavelength of 800 nm. Then, the surface roughness was compared with that measured by atomic force microscope. The surce roughness obtained by two methods was changed with the similar tendency n terms of $XeF_2$ etching conditions.