• 열처리공학회지
• /
• 제34권4호
• /
• pp.185-190
• /
• 2021

The extrusion experiments using the 7075 aluminum billet have been performed to investigate the effects of die cooling and ram speed on the occurrence of surface defects on the extrudate. The purpose of die cooling was to suppress overheating of the extrudate at the moment of extrusion. In the present die cooling system, liquid nitrogen has been injected in to the die and sprayed to the surface of extrudate. Ram speed was either kept or varied in the range of 1.1~1.7 mm/sec. throughout one extrusion shot to check the occurrence of surface defects. Every extrusion started at a ram speed of 1.25 mm/sec. The temperature of extrudate was measured using a laser thermometer. The 7075 billet of 180 mm in diameter and 550 mm in length was preheated at 390℃ and extruded to get a single plate of 8000 mm in length, 150 mm in width and 10 mm in thickness. Each extrudate was checked by eye to find the surface defects. The microstructures were obtained in the specimen cut from each corner of the extrudate using the EBSD micrographs.

• 한국정밀공학회지
• /
• 제23권9호
• /
• pp.134-141
• /
• 2006

Surface deflections have a great effect on the external appearance of automobiles. Usually, they are occurred on large flat panels containing sudden shape changes and of very small size about $\pm$30$\sim$300$\mu$m. Since the current numerical method is not sufficient for predicting these defects, the correction of these defects still depends on trial and error, which requires a great deal of time and expense. Consequently, developing the numerical method to predict and prevent these defects is very important far improving cosmetic surface qualities. In this study, an evaluation system that can analyze surface deflections using numerical simulation and a visualization system are reported. To calculate the surface deflections numerically, robust algorithms and simulation methodologies are suggested and to visualize them quantitatively, the curvature variation algorithm is proposed. To verify the developed systems, the experimental die of the handle portion of exterior door is analyzed. The results showed that the experimental and simulational visualization are in good agreement. Compensation methods to correct the surface deflections are also tested. The evaluation system proposed in this paper could be used to predict and minimize the occurrence of surface deflections in die manufacturing.

• 한국공작기계학회논문집
• /
• 제16권5호
• /
• pp.55-62
• /
• 2007

With the developments in knitting, manufacturing, and polymers, coated gloves have been evolved in a way to maximize occupational safety and functionality. In this paper, we have considered the PU-coating process for the glove knitted by Dyneema to reduce the occurrence of the defects due to air bubble. This paper classifies the types of defect due to air bubble and traces their forming mechanisms. The air between coating layer of glove and mold's surface forms the defects if it is not evacuated fully in the process of submerging into water. The defects can be suppressed or avoided by forming air-evacuating path on the surface of the molds.

• 대한기계학회:학술대회논문집
• /
• 대한기계학회 2001년도 춘계학술대회논문집A
• /
• pp.529-533
• /
• 2001

NDI technique system using AC current is newly developed for inspection of defects. This technique is non-contact measurement system and can be applied for locating and sizing of surface defects in components. In this paper, the technique was applied for evaluating the location and size for 2-dimensional surface cracks and we had investigated the influence of frequency and lift-off. The results show that defects are able to detect with the variety of voltage, and the measuring voltage for the depth of defects are under the influence of the measuring frequency and the lift-off.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2000년도 하계학술대회 논문집 C
• /
• pp.1930-1932
• /
• 2000

PD in defects of solid insulation system is very harmful since it leads to deteriorate insulation system by. the discharge electrons and ions bombarding the insulation surface and the action of chemical products that are formed by discharges. PD is used to detect and recognize defects and degradation of insulation system However, there are still marked difficulties to recognize defects by PD methode. In this paper, we investigated properties of PD of defects in solid insulation by using statical methods and classified PD patterns of surface discharge, electrical tree and void discharge with source of discharge, we used specific distributions such as $H_n(q)$, $H_{an}(\phi)$, $H_n(\phi)$, $H_a(\phi)$ to recognize defects of solid insulation system.

• 제어로봇시스템학회논문지
• /
• 제15권9호
• /
• pp.899-905
• /
• 2009

There are many different types of surface defects on semiconductor Integrated Chips (IC's) caused by various factors during manufacturing process, such as Scratch, Flash, Resin bleed, and Melting. These defects must be detected and classified by an inspection system for productivity improvement and effective process control. Among defects, in particular, Resin bleed and Melting are the most difficult ones to classify accurately. The brightness value and the shape of Resin bleed and Melting defects are so similar that normally it is difficult to classify the Resin bleed and Melting. In this paper, we propose a segmenting method and a set of features for detecting and classifying the Resin bleed and Melting defects.

• 한국표면공학회지
• /
• 제51권1호
• /
• pp.79-85
• /
• 2018

We systematically investigated the optical properties of sub-micron sized methylammonium lead tribromide ($CH_3NH_3PbBr_3$) cubes in the range of 100 to 700 nm, which were prepared by a surfactant-free precipitation method. We found that despite the strong absorbance, their photoluminescence quantum yield (PLQY) is very low as 0.009~0.011 % for whole range of sizes. Surfactant-free synthesis approach results in nanocubes that has no surface passivating reagents (e.g. surfactants) on their surface. As-prepared particles contain a large number of surface defects that may cause the low PLQY. The role of the surface defects were investigated in their photoluminescence decay process, which can be correlated with the particle size. Larger particles are characterized by a slower decay rate compared to smaller particles due to a large number of surface defects in the smaller particles that trap more excitons in the fluorescence decay process. These experimental results provide new insights into the fundamental relationship between surface state and optical properties.

• 한국해양공학회지
• /
• 제20권6호
• /
• pp.1-6
• /
• 2006

Corrosion of reinforcing steel bars is a major concern for ocean engineers when reinforced concrete structures are exposed to marine environments. Evaluating the degree of corrosion and corrosion-induced defects is extremely necessary to pursue a proper retrofit or rehabilitation plan for reinforced concrete structures. A promising inspection should be carried out for the evaluation, otherwise the retrofit or rehabilitation process would be useless. Nowadays, ultrasonic guided wave-based inspection techniques become quite promising for the inspection, mainly because of their long-range propagation capability and their sensitivity to different types of defects or conditions. Evaluating haw the guided waves response to the different types of defects or conditions is quite challenging and important. This study shows how surface conditions of reinforcing bars and a corrosion-induced defect, separation, affect guided wave propagation in reinforced concrete. Experiments and associated signal analysis show the sensitivity of guided waves to the surface conditions, as well as the amounts of separation at the interface between. concrete and steel bar.

• 한국빅데이터학회지
• /
• 제7권2호
• /
• pp.31-41
• /
• 2022

철강은 기계 산업의 가장 기본적인 구성 요소 중 하나이다. 그러나 철강의 표면 결함은 제품의 품질에 큰 영향을 미친다. 따라서 연구자들은 표면 결함 감지기의 필요성에 주목하고 딥 러닝을 이용한 방법은 객체 결함 감지를 하는데 많이 사용된다. 연구 개발용으로 학습 모델 개발에 초점을 맞추지만 실제 산업환경에 실질적인 영향을 미치는 실시간 적용은 아직 적용되지 않는 한계와 개선의 여지가 필요하다. 본 연구는 YOLOv4를 기반으로 한 철강 표면 결함 감지의 실시간 적용을 제안한다. 첫째, 본 연구는 실시간 응용 모델을 적용하는 것을 목적으로 하며 실시간 객체 검출기의 가장 유명한 알고리즘 중 하나인 one-stage Detector의 YOLO 알고리즘을 중심으로 연구를 진행하였다. 둘째, 사전 훈련된 YOLOv4-Darknet 플랫폼 모델과 전이학습을 사용하여 철강 표면 오픈 소스 데이터셋 NEU-DET을 이용하여 학습과 테스트를 진행하였다. 본 연구에서는 철강 표면의 패치, 구멍 난 표면, 불순물, 스크래치 4가지 유형의 결함을 이용하였다. 셋째, 87.1% mAP@0.5의 정확도와 60fps 이상의 시스템 구축을 위해 YOLOv4를 이용하여 훈련된 모델의 실시간 성능을 평가하였다.

• 한국철도학회논문집
• /
• 제11권3호
• /
• pp.272-279
• /
• 2008

레일 표면 결함에 대한 유지보수의 중요성이 KTX의 운행에 따라 더욱 증대되고 있다. 이는 고속 운행시 레일 표면 결함은 레일의 피로수명 단축과 궤도의 열화 증속 및 승차감 저하를 유발하기 때문이다. 본 연구는 KTX의 운행현황을 고려하여 경부 고속선의 레일 연마 기준을 제안하였다. 이를 위해서 경부 고속선에서 UIC 60 레일 시편을 체취하여, 현미경에 의한 미세 조직을 조사하고 경도를 측정하였다. 레일 표면 결함을 유발하는 RCF에 영향을 미치는 인자들로 통과 톤수, 주행속도 및 궤도상태를 고려하였다.