• Title/Summary/Keyword: 챔퍼

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Active Peg-in-hole of Chamferless Parts Using Multi-sensors (다중센서를 사용한 챔퍼가 없는 부품의 능동적인 삽입작업)

  • Jeon, Hun-Jong;Kim, Kab-Il;Kim, Dae-Won;Son, Yu-Seck
    • Proceedings of the KIEE Conference
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    • 1993.07a
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    • pp.410-413
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    • 1993
  • Chamferless peg-in-hole process of the cylindrical type parts using force/torque sensor and vision sensor is analyzed and simulated in this paper. Peg-in-hole process is classified to the normal mode (only position error) and tilted mode(position and orientation error). The tilted mode is sub-classified to the small and the big tilted mode according to the relative orientation error. Since the big tilted node happened very rare, most papers dealt with only the normal or the small tilted mode. But the most errors of the peg-in-hole process happened in the big tilted mode. This problem is analyzed and simulated in this paper using the force/torque sensor and vision senor. In the normal mode, fuzzy logic is introduced to combine the data of the force/torque sensor and vision sensor. Also the whole processing algorithms and simulations are presented.

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A Study on Surface roughness in High speed face milling machining of Al2024 (Al2024의 고속 정면밀링 가공에서 표면 거칠기에 관한 연구)

  • Jang, Sung-Min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.2
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    • pp.603-608
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    • 2014
  • In many manufacturing such as the components of airplane and automobile, aluminum alloys(Al2024) which remarkable in low specific gravity and high strength have been utilized effectively. Face milling machining technology for surface roughness quality of workpiece has been applied in these fields. A face milling machining with chamfered throw away type insert tip can produce a perfect flat surface only in theory. But It is impossible because of many unwanted factors, namely, cutting temperature, plastic deformation, dynamic effect, etc. In this paper, experimental investigations are performed to improve surface roughness after high speed machining of Al2024 using qualified face milling cutter body for high speed machining.

Forging Process Design of Self-Piercing Rivet for Joining dissimilar Sheet Metals (이종재료 접합을 위한 Self-Piercing Rivet의 단조공정설계)

  • Kim, Dong-Bum;Lee, Mun-Yong;Park, Byung-Joon;Park, Jong-Kweon;Cho, Hae-Yong
    • Journal of Advanced Marine Engineering and Technology
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    • v.36 no.6
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    • pp.802-807
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    • 2012
  • Self-piercing rivet is sheet joining method. It is being used more to join aluminum alloy sheets. Self-piercing riveting is a large-deformation process that involves piercing. The self-piercing rivet, under the press from the punch, pierces the top sheet and forms a mechanical interlock with the bottom sheet. In this study, forging process was designed for manufacturing self-piercing rivet. The forging process has been simulated by using commercial FEM code DEFORM-2D. In simulation of forging process for manufacturing rivet, process sequence, formability, forging load, and distributions of stress and strain were investigated. The suitable forging process could be designed by comparisons of simulation results. The developed process consists of four stages: upsetting, first chamfering, back extrusion, and second chamfering. The simulated results for forging process were confirmed by experimental trials with the same conditions.

Automatic Lung Registration using Local Distance Propagation (지역적 거리전파를 이용한 자동 폐 정합)

  • Lee Jeongjin;Hong Helen;Shin Yeong Gil
    • Journal of KIISE:Software and Applications
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    • v.32 no.1
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    • pp.41-49
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    • 2005
  • In this Paper, we Propose an automatic lung registration technique using local distance propagation for correcting the difference between two temporal images by a patient's movement in abdomen CT image obtained from the same patient to be taken at different time. The proposed method is composed of three steps. First, lung boundaries of two temporal volumes are extracted, and optimal bounding volumes including a lung are initially registered. Second, 3D distance map is generated from lung boundaries in the initially taken volume data by local distance propagation. Third, two images are registered where the distance between two surfaces is minimized by selective distance measure. In the experiment, we evaluate a speed and robustness using three patients' data by comparing chamfer-matching registration. Our proposed method shows that two volumes can be registered at optimal location rapidly. and robustly using selective distance measure on locally propagated 3D distance map.

A Study on the Vibration Parameters for High Speed Face Milling Machining (고속 정면밀링가공을 위한 진동 파라미터에 관한 연구)

  • Jang, Sung-Min;Lee, Seung-Il
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.9
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    • pp.4149-4155
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    • 2013
  • High speed machining for higher cutting speed and feedrate lead to a increase of surface quality and material removal rate. This paper presents a study of the influence of cutting conditions on the vibration characteristics obtained by machining with face milling cutter for high speed machining. In this paper, Taguchi experimental design method which is based on orthogonal array table was applied to study vibration characteristics with high speed face milling cutter. The experimental conditions used orthogonal array of $L_{27}(3^{13})$. In this work, design and analysis of experiments is conducted to study the effects of these parameters on the vibration by using the S/N ratio, analysis of variance. Four cutting parameters namely, feed rate, champer length, cutting speed, and depth of cut were optimized with consideration of vibration characteristics.

3D Human Shape Deformation using Deep Learning (딥러닝을 이용한 3차원 사람모델형상 변형)

  • Kim, DaeHee;Hwang, Bon-Woo;Lee, SeungWook;Kwak, Sooyeong
    • Journal of Korea Society of Industrial Information Systems
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    • v.25 no.2
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    • pp.19-27
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    • 2020
  • Recently, rapid and accurate 3D models creation is required in various applications using virtual reality and augmented reality technology. In this paper, we propose an on-site learning based shape deformation method which transforms the clothed 3D human model into the shape of an input point cloud. The proposed algorithm consists of two main parts: one is pre-learning and the other is on-site learning. Each learning consists of encoder, template transformation and decoder network. The proposed network is learned by unsupervised method, which uses the Chamfer distance between the input point cloud form and the template vertices as the loss function. By performing on-site learning on the input point clouds during the inference process, the high accuracy of the inference results can be obtained and presented through experiments.

Study on an Image Reconstruction Algorithm for 3D Cartilage OCT Images (A Preliminary Study) (3차원 연골 광간섭 단층촬영 이미지들에 대한 영상 재구성 알고리듬 연구)

  • Ho, Dong-Su;Kim, Ee-Hwa;Kim, Yong-Min;Kim, Beop-Min
    • Progress in Medical Physics
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    • v.20 no.2
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    • pp.62-71
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    • 2009
  • Recently, optical coherence tomography (OCT) has demonstrated considerable promise for the noninvasive assessment of biological tissues. However, OCT images difficult to analyze due to speckle noise. In this paper, we tested various image processing techniques for speckle removal of human and rabbit cartilage OCT images. Also, we distinguished the images which get with methods of image segmentation for OCT images, and found the most suitable method for segmenting an image. And, we selected image segmentation suitable for OCT before image reconstruction. OCT was a weak point to system design and image processing. It was a limit owing to measure small a distance and depth size. So, good edge matching algorithms are important for image reconstruction. This paper presents such an algorithm, the chamfer matching algorithm. It is made of background for 3D image reconstruction. The purpose of this paper is to describe good image processing techniques for speckle removal, image segmentation, and the 3D reconstruction of cartilage OCT images.

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A study on the cold forging die geometry optimal design for forging load reduction (성형하중 감소를 위한 냉간단조금형 최적설계에 관한 연구)

  • Hwang, Joon;Lee, Seung-Hyun
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.32 no.6
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    • pp.251-261
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    • 2022
  • This paper describes the finite element analysis and die design change of spring retainer forging process to reduce the cold forging load and plastic forming stress concentration. Plastic deformation analysis was carried out in order to understand the forming process of workpieces and elastic stress analysis of the die set was performed in order to get basic data for the die fatigue life estimation. Cold forging die design was set up to each process with different four types analysis progressing, the upper and lower dies shapes with combination of fillets and chamfers shapes of cold forging dies. This study suggested optimal cold forging die geometry to reduce cold forging load. The design parameters of fillets and chamfers are selected geometry were selected to apply optimization with the DoE (design of experiment) and Taguchi method. DoE and Taguchi method was performed to optimize the workpiece preform shape for spring retainer forging process, it was possible to expect an increase in cold forging die life due to the 20 percentage forging load reduction.