• Title/Summary/Keyword: Corner Processing

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Finite Element Analysis of Continuous Rotary-Die Equal Channel Angular Pressing (연속 회전 등통로각압축 공정의 유한요소해석)

  • Yoon, Seung-Chae;Seo, Min-Hong;Kim, Hyoung-Seop
    • Transactions of Materials Processing
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    • v.15 no.7 s.88
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    • pp.524-528
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    • 2006
  • Although equal channel angular pressing (ECAP), imposing large plastic shear strain deformation by moving a workpiece through two intersecting channels, is a promising severe plastic deformation method for grain refinement of metallic materials, its batch type characteristic makes ECAP inefficient for multiple-passing. Rotary-die ECAP (RDECAP) proposed by Nishida et al. can achieve high productivity by using continuous processing without taking out the samples from the channel. However, plastic deformation behavior during RD-ECAP has not been investigated. In this study, material plastic flow and strain hardening behavior of the workpiece during RD-ECAP was investigated using the finite element method. It was found that plastic deformation becomes inhomogeneous with the number of passes due to an end effect, which was not found seriously in ECAP. Especially, decreasing corner gap with increasing the number of passes was observed and explained by the strain hardening effect.

Recent Development of Automated Strain Measurement System for Sheet Metal Parts (판재 변형률 자동측정시스템의 발전)

  • 김형종
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2000.04a
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    • pp.129-133
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    • 2000
  • It is reasonable to use the stereo vision and image processing technique to digitize 3D coordinates of grid points and to evaluate surface strains on a sheet metal parts. However this method has its intrinsic problems such as the difficulty in enhancement of bad images inevitable error due to digital image resolution of camera and frame grabber unreliability of strains and thickness evaluated from coarse grid on the corner area with large curvature and the limitation of the area that can be measured at a time. Therefore it is still hard to measure strain distribution over the entire surface of a medium,- or large-sized stamped part at a time even by using an automated strain measurement system. In this study the curvature correction algorithm based on the grid refinement and the geometry assembling algorithm based on the global error minimization (GEM) scheme are suggested. Several applications are presented to show the reliability and efficiency of these algorithms.

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A Computer Programming for the Analysis of Crystal Structures (결정 구조들의 해석을 위한 컴퓨터 프로그래밍)

  • Kim, Jin-Hui
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.3
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    • pp.872-878
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    • 2000
  • In this paper a computer programming for the expression of nearest neighbor atoms in face-centered cubic (FCC) and body-centered cubic (BCC) crystals was suggested as one of the approaches to understand each of the crystal structure. By using this computer programming the distance values between a reference atom and the nearest neighbor atoms, and the numbers of the nearest neighbor atoms were calculated ane compared for the FCC and BCC crystals. In this algorithm, the positions of the atoms in a crystal were defined as two categories: the corner atoms and face- or body-centered atoms, and considered respectively. For the same order of nearest neighbor atoms except the second order ones the distance values form the reference atom were smaller in the FCC crystals than those in the BCC. Also, the numbers of he first and third nearest neighbor atoms n the FCC crystals were larger than those in the BCC. This difference was explained by the comparison of each atomic packing ratio of the FCC and BCC crystals. The algorithm used in this programming can also be expanded to the analysis of other crystal structures.

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Text Detection in Scene Images Based on Interest Points

  • Nguyen, Minh Hieu;Lee, Gueesang
    • Journal of Information Processing Systems
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    • v.11 no.4
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    • pp.528-537
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    • 2015
  • Text in images is one of the most important cues for understanding a scene. In this paper, we propose a novel approach based on interest points to localize text in natural scene images. The main ideas of this approach are as follows: first we used interest point detection techniques, which extract the corner points of characters and center points of edge connected components, to select candidate regions. Second, these candidate regions were verified by using tensor voting, which is capable of extracting perceptual structures from noisy data. Finally, area, orientation, and aspect ratio were used to filter out non-text regions. The proposed method was tested on the ICDAR 2003 dataset and images of wine labels. The experiment results show the validity of this approach.

2D Barcode Detection Algorithm with Multiple Features Combination for a Long Distance Search

  • Pak, Myeongsuk;Kim, Sanghoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.1506-1508
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    • 2015
  • A 2D barcode region localization system for the automatic inspection of a long distance logistics objects has been developed. For the successful 2D barcode localization, variance and frequency of the pixel distribution within average 2D barcodes is modeled and the average model of 2D barcode is combined with the corner features detection to localize the final 2D barcode candidates. An automatic 2D barcode localization software was developed with the multiple features mixture method and we tested our system on real camera images of several popular 2D barcode symbologies.

Lane Violation Detection Using Corner-Feature Tracking (특징점 추적을 이용한 끼어들기 위반차량 감지)

  • Jeong, Sung-Hwan;Lee, Hee-Sin;Lee, Joonwhoan
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.11a
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    • pp.740-743
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    • 2010
  • 본 논문에서는 컴퓨터 비젼에서 특징점 추적을 이용한 끼어들기 위반차량 검지 방법을 제안한다. 제안된 끼어들기 위반차량 검지 시스템의 전체적인 알고리즘은 영상 변환 및 전처리, 특징 추출, 추적대상 차량의 특징점 등록 및 추적, 끼어들기 위반차량 검지 등의 단계로 구성된다. 특히 형태학적 기울기 영상에서 특징점을 추출하므로 써 주간 및 야간 영상에 대해 동일한 알고리즘을 적용하여 그림자, 기상 조건, 차량 전조등 및 조명 등에 강인한 실시간성이 가능한 영상 검지 시스템을 구성 한다. 제안한 시스템을 끼어들기 금지구간에서 주간, 야간, 비 오는 날 야간에 취득한 영상을 사용하여 실험한 결과 정인식률 99.49%와 오류율 0.51%를 보였으며, 실시간처리에 문제가 없는 초당 91.34프레임의 빠른 처리속도를 나타냈다.

Bending Die System Design for Metal Panel Processing (금속패널가공을 위한 벤딩 다이시스템 설계)

  • Kim, Woo-Ki;Kim, Seung-Kyeum;Choi, Kye-Kwang
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.2
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    • pp.276-280
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    • 2008
  • The design technology to be developed in this study is technology related to the metal panel comer processing method of very high value-added, interior and exterior cladding material, in the architecture. This study is aimed at designing a Bending Die System that enables metal panel comer processing for the first time in Korea, by improving corrosion resistance (durability), weather resistance and elegances (design) for the connecting part of right angle cornering, where most serious problems occur in using metal steel plates of 2.5mm or thicker. This is used as a kind of metal ball and as architectural interior and exterior cladding material.

Feature Based Multi-Resolution Registration of Blurred Images for Image Mosaic

  • Fang, Xianyong;Luo, Bin;He, Biao;Wu, Hao
    • International Journal of CAD/CAM
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    • v.9 no.1
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    • pp.37-46
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    • 2010
  • Existing methods for the registration of blurred images are efficient for the artificially blurred images or a planar registration, but not suitable for the naturally blurred images existing in the real image mosaic process. In this paper, we attempt to resolve this problem and propose a method for a distortion-free stitching of naturally blurred images for image mosaic. It adopts a multi-resolution and robust feature based inter-layer mosaic together. In each layer, Harris corner detector is chosen to effectively detect features and RANSAC is used to find reliable matches for further calibration as well as an initial homography as the initial motion of next layer. Simplex and subspace trust region methods are used consequently to estimate the stable focal length and rotation matrix through the transformation property of feature matches. In order to stitch multiple images together, an iterative registration strategy is also adopted to estimate the focal length of each image. Experimental results demonstrate the performance of the proposed method.

Selection of Optimal Processing Conditions for Quartz Using the Taguchi Method (다구찌법을 이용한 석영의 최적 가공조건 선정에 관한 연구)

  • Jeong, Ho-In;Choi, Seong-Jun;Lee, Choon-Man
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.2
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    • pp.123-129
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    • 2022
  • Quartz (SiO2) has high abrasion and heat resistances and excellent chemical and mechanical properties; therefore, it is used in various industries, such as machinery, chemistry, optics, and medicine. Quartz is a high-hardness and brittle material and is classified as the topmost difficult-to-cut material, which is because of the cracking or chipping at the edge during processing. Corner wear, such as cracks and chippings that occur during cutting, is a major cause for the deterioration in the machining quality. Therefore, many researchers are investigating various techniques to process quartz effectively. However, owing to the mechanical properties of quartz, most studies have been conducted on grinding, micromachining, and microdrilling. Few studies have been conducted on quartz processing. The purpose of this study was to analyze the machining characteristics according to the machining factors during the slot machining of quartz using a cubic boron nitride (CBN) tool and to select the optimal machining conditions using the Taguchi method. The machining experiment was performed considering three process variables: the spindle speed, feed rate, and depth of cut. The cutting force and surface roughness were analyzed according to the processing conditions.

Skew Correction for Document Images Using Block Transformation (블록 변환을 이용한 문서 영상의 기울어짐 교정)

  • Gwak, Hui-Gyu;Kim, Su-Hyeong
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.11
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    • pp.3140-3149
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    • 1999
  • Skew correction for document images can be using a rotational transformation of pixel coordinates. In this paper we propose a method which corrects the document skew, by an amount of $\theta$ degrees, using block information, where the block is defined as a rectangular area containing adjacent black pixels. Processing speed of the proposed method is faster than that of the method using pixel transformation, since the number of floating-point operations can be reduced significantly. In the proposed method, we rotate only the four corner points of each block, and then identify the pixels inside the block. Two methods for inside pixel identification are proposed; the first method finds two points intersecting the boundary of the rotated block in each row, and determines the pixels between the two intersection points as the inside pixel. The second method finds boundary points based on Bresenham's line drawing algorithm, using fixed-point operation, and fills the region surrounded by these boundaries as black pixels. We have measured the performance of the proposed method by experimenting it with 2,016 images of various English and Korean documents. We have also proven the superiority of our algorithm through performance comparison with respect to existing methods based on pixel transformation.

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