• Title/Summary/Keyword: visualization of manufacturing process

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Digital Manufacturing Strategy & Case study of Automotive General Assembly (자동차 조립 라인의 디지털 생산 구축 사례연구)

  • Choi M.W.;Han S.T.;Seo J.H.;Woo J.H.;Lee C.J.;Choi Y.R.
    • Korean Journal of Computational Design and Engineering
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    • v.10 no.3
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    • pp.199-209
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    • 2005
  • In this paper, a digital simulation model for an automotive assembly line is constructed by adapting a digital manufacturing methodology. Applied methodology is a simulation for a plant level of the assembly production line. The first significance of this methodology is a validation of the production planning based on various scenarios. The second is pre-verification for the new production plan or production method. The third is a visualization of the production process. Several models were implemented and those models were verified. Then, it was possible to find a most efficient production scenario and production method.

Pinched Flow Fractionation Microchannel to Sort Microring-Containing Immiscible Emulsion Droplets (마이크로 링이 함유된 비혼합성 에멀젼 액적의 분류를 위한 Pinched Flow Fractionation 마이크로 채널)

  • Ye, Woojun;Kim, Hyunggun;Byun, Doyoung
    • Journal of the Korean Society of Visualization
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    • v.15 no.2
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    • pp.41-47
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    • 2017
  • Microring/nanoring structure has high applicability for nano-antenna and biosensor thanks to its superior optical characteristics. Although coiling nanowires manufactured using immiscible emulsion droplets have an advantage in mass production, this process also forms nanowire bundles. In this study, we solved the nanowire bundle problem by size-selective sorting of the emulsion droplets in a pinched flow fractionation microchannel. Utilizing silver nanowires and immiscible emsulsion droplets, we investigated the correlation between the size of ring droplets and bundle droplet. We visualized the sorting process for glass particles and microring-containing emulsion droplets. Droplets were sorted based on their size, and the ratio of bundle droplets in solution decreased. This droplet-sorting strategy has potential to help the printing and coating process for manufacturing of ring structure patterns and developing of functional materials.

A Pre-Visualization Method for FDM 3D Printing Based on Perlin Noise (FDM 3D 프린팅을 위한 Perlin 노이즈 기반 사전 시각화 기법)

  • Lim, Jae-Gwang;Jang, Seung-Ho;Hong, Jeong-Mo
    • Korean Journal of Computational Design and Engineering
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    • v.21 no.3
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    • pp.224-233
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    • 2016
  • We propose a new method to visualize 3D models for FDM (Fused Deposition. Modeling) printing that appearance of the printed results can be predicted more realistically as that the efficiency of the modeling-printing process can be improved. The layered nature of horizontal slicing and the vibratory nozzle movements of customer-level FDM 3D printers leaving the characteristic patterns of noisy stripes on the surfaces of printed objects make difficulties in prediction of printed result in company with the thermal contraction of filament material. First, our method analyses the G-codes generated by common slicers to obtain proper outlines and take advantages of a modified version of Perlin noise based texturing method for rendering efficiency and enough number of control parameters on the visual details. The results show improved rendering details of pre-visualization of FDM printing.

Big Data Analysis on Oyster Growth and FLUPSY Environment (개체굴 성장 데이터와 양식 FLUPSY 환경 데이터의 빅 데이터 분석)

  • Yoo, Hyun-Joo;Zhang, Sung-Uk;Jung, Sun-Jin
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.19 no.7
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    • pp.106-111
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    • 2020
  • In the era of the fourth industrial revolution, the application of big data analysis technology is crucial in various industries. In this regard, considerable research is necessary to improve aquafarming productivity, particularly in fish culture, which is one of the primary industries in the world. In this study, a sample experiment using a flop was conducted to improve oyster productivity in fish farms, and a flush was installed in an environment similar to aquaculture farms. Thereafter, the temperature data of the water environment where the formation of burrows considerably improved were collected; the growth rate of burrow seeds was also measured. The gathered experimental data were examined by time series data analysis. Finally, a system that visualizes the analysis results based on big data is proposed. In accord with the results of this study, it is expected that more advanced research on the productivity improvement of oyster aquafarming will be performed.

Neutral Data Generation Algorithm for EPC-based Manufacturing Process Collaboration (EPC 기반의 제조 공정 협업을 위한 중립 데이터 생성 알고리즘)

  • Kim, Dong-Gi;Kim, Seung-Hee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.1
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    • pp.1-9
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    • 2020
  • In highly complex EPC(engineering, procurement, construction)-based manufacturing processes such as shipbuilding and marine plants, it is essential to prepare a way to enable organic working at the site referring to each other's detailed working data for collaboration between partner companies. However, companies cannot share the progress of the sites including working information in real-time due to the use of SW unique to each company and the complex site management system. As a result, the construction process is delayed, and resources are used inefficiently. This study developed a neutral data generation algorithm that can apply the working information in various file formats to a collaborative manufacturing process. In addition, this study verified the accuracy of the algorithm by applying the developed algorithm to the manufacturing process of piping in shipbuilding and marine plants, developing the SW for visualization of working information using the generated neutral data, and comparing the coordinate, shape & dimension and the kind, number, and spec. of BOM. The result confirmed that the accuracy of the coordinate of the neutral data was 99%, and that of the shape & dimension of the neutral data and BOM Spec. was both 100%. It is thought that this study can be used for overcoming the restrictions in information sharing due to the development of informatization at companies and maximizing the share of working file information in a complex manufacturing process.

Efficient Calculation of Trapped Volumes in Layered Manufacturing Process (적층 성형 과정에서 고립 체적의 효율적 계산)

  • 김진영;이건우;정융호
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.2
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    • pp.154-161
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    • 1998
  • Prototypes of a design are always needed for the purpose of visualization and evaluation in the aspect of manufacturability functionality, and aesthetic appearance. Since the prototyping process requires a significant amount of cost and time, various rapid prototyping processes are recently being introduced in the process. However, it is usually necessary for a part built up by a rapid prototyping system to be refined by a post-processing process, in which the stair steps on the surfaces, the support structures (if they exist), and the unprocessed material are eliminated. This post-processing is usually done manually and is a time-consuming task. Especially, eliminating the trapped volumes, the volume of the unprocessed material entrapped by the solidified portion, is sometimes impossible in some processes. This study provides a designer with a tool to detect the existence and to calculate the quantity of the trapped volumes at the given build-up direction, so that the proper build-up direction is chosen or the part is built by pieces to avoid the problems caused by the trapped volumes in advance. Since the proposed algorithm can efficiently calculate the amount of the trapped volumes at any build-up direction, it has the potential of such application as optimizing the build-up direction to minimize the trapped volumes.

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A Case Study for Augmented Reality Based Geography Learning Contents (증강현실기반의 지리 학습 콘텐츠 활용 사례연구)

  • Lee, Seok-Jun;Ko, In-Chul;Jung, Soon-Ki
    • Journal of the Korean Association of Geographic Information Studies
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    • v.14 no.3
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    • pp.96-109
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    • 2011
  • Recently, the geographic information system(GIS) is generally used in various fields with the development of information and communication technology, with expansion of its applications and utilization scope. Especially, utilizing GIS is expected to have positive effects on the geography learning and more helpful for the geographic information observation compared to the picture or 2D based media. The effective visualization of complex geographic data does not only take realization of its visual information but also increases the human ability in analysis and understanding to use the geographic information. In this paper, we examine a method to develop the geography learning contents based on the technology with augmented reality and GIS, and then we have a case study for various kinds of visualization techniques and examples to use in geography learning situation. Moreover, we introduce an example of the manufacturing process from the existing GIS data to augmented reality based geography learning system. From the above, we show that the usefulness of our method is applicable for effective visualization of the three-dimensional geographic information in the geography learning environment.

Multidisciplinary CAE Management System Using a Lightweight CAE Format (경량 CAE 포맷을 이용한 다분야 CAE 관리 시스템 개발)

  • Park, Byoung-Keon;Kim, Jay-Jung
    • Korean Journal of Computational Design and Engineering
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    • v.15 no.2
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    • pp.157-165
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    • 2010
  • In the manufacturing industries, CAE analysis results are frequently required during the product development process for design verification. CAE data which include all related information of an analysis is, however, not efficiently shared among engineers because CAE data size is in general very large to deal with. At first, we represent a proposed lightweight format which is capable to include all the types of CAE analysis results and to support hierarchical data structure. Since each CAE system has different data structures of its own, a translator which translates to the proposed format is also represented. Unlike the design environment with CAD system, many CAE systems are used in a manufacturing company because many sorts of analysis are performed usually for a product design. Thus, lots of CAE results are generated and occupy huge size within storage, and they make it harder to manage or share many CAE results efficiently. A multi-CAE management system which is able to share many types of CAE data simultaneously using lightweight format is proposed in this paper. Finally, an implementation of the system for this will be introduced.

The Virtual Factory Layout Simulation System using Legacy Data within Mixed Reality Environment (혼합현실 환경에서 레가시 데이터를 활용하는 가상 공정배치 시뮬레이션 시스템)

  • Lee, Jong-Hwan;Shin, Su-Chul;Han, Soon-Hung
    • The KIPS Transactions:PartA
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    • v.16A no.6
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    • pp.427-436
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    • 2009
  • Digital virtual manufacturing is a technology that aims for the rapid development of products and the verification of production-process in ways that are more efficient by integrating digital models within the entire manufacturing process. These digital models utilize various information technologies, such as 3D CAD and simulations. Mixed reality, which represents graphical objects for only needed parts against real scene, can bring a more enriched sense of reality to an existing virtual manufacturing system that is in a pure virtual environment, and it can reduce the time and money needed for modeling the environment. This paper suggests a method for planning virtual factory layouts based on mixed reality using legacy datathat are already constructed in the real field. To do this, we developed the method to acquire simulation data from legacy data and process this acquired data for visualization based on mixed reality. And then we construct display system based on mixed reality, which can simulate virtual factory layout with processed data. Developed system can reduce errors related with factory layout by verifying the location and application of equipments in advance before arrangement of real ones at the practical job site.

The Visualization of Temperature Field for Nanoporous Thin Film using Laser-Induced Fluorescence. (형광 나노포러스 박막의 온도장 가시화)

  • Oh, Young-Su;Baek, In-Gi;Jeon, Pil-Soo;Kim, Hyun-Jung;Yoo, Jai-Suk
    • Proceedings of the KSME Conference
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    • 2007.05b
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    • pp.2459-2464
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    • 2007
  • In present study, a temperature field of specimens which was coated with fluorescence dye such as Rhodamine-B(Rh-B) has been measured, based on the fluorescence intensity. Silica(SiO2) nano porous structure with 1um thickness was constructed on a cover glass, and fluorescence dye was digested into these porous thin films. To optimize manufacturing coating process, various solvents, Rh-B concentration, and other chemical materials were applied to fabricate the specimen and all specimens were measured on the various temperature conditions. For the measurement, a 14 bit cooled CCD camera with 1600 by 1200 spatial resolution is equipped with epifluorescence microscope to obtain only fluorescence intensity from 1.2 mm by 0.9 mm field of view of the illuminated coated specimen.

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