• 제목/요약/키워드: Cutting automation

검색결과 157건 처리시간 0.025초

인터넷 기반 복합재 보수 (The Internet-based Composite Repair)

  • 추원식;안성훈
    • 한국복합재료학회:학술대회논문집
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    • 한국복합재료학회 2003년도 춘계학술발표대회 논문집
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    • pp.139-142
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    • 2003
  • As composite materials are gaining wide acceptance in aircraft structure, repair of damaged composite is becoming an important issue. The issues in composite repair include high cost, material interchangeability, water ingression, and structural integrity. To address these problems, researchers have studied on the composite repair in various aspects. In this paper, an Internet-based advisory service (called Repair Advisory Service, RAS) for composite repair is proposed to increase efficiency for repair process. In the RAS system the web browser is used as its user interface, which provides easy access to the service. The RAS server provides web-based tools for failure prediction, Structural Repair Manual (SRM), automated prepreg cutting process, material properties, inventory and knowledge base. The computer codes implemented for repair design estimate the tensile failure and shear failure of repaired structures. The prediction of failure is based on the maximum strain criterion for tensile failure while elastic-perfect plastic shear failure model is applied for interfacial failure. The OEM's SRM is provided in the PDF format for viewing and searching by web browsers instead of looking up paper version SRM. The knowledge base in this site offers a room to share and distribute ideas, memos, publications, or suggestions from the repair engineers. The fabrication tool of RAS reads repair geometry from engineers then generates a CNC toolpath to cut prepreg patches. The RAS service is open to public and available at http://nano.gsnu.ac.kr/. Broad feedback from field technicians and engineers is welcome to improve the usefulness of RAS.

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V-개선 맞대기 용접변형에 대한 간이 예측 모델 개발 (Development of Simple Prediction Model for V-groove butt welding deformation)

  • 김상일
    • 대한조선학회논문집
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    • 제41권2호
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    • pp.106-113
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    • 2004
  • The block assembly of ship consists of a certain type of heat processes such as cutting, bending, welding, residual stress relaxation and fairing. The residual deformation due to welding is inevitable at each assembly stage. The geometric inaccuracy caused by the welding deformation tends to preclude the introduction of automation and mechanization and needs the additional man-hours for the adjusting work at the following assembly stage. To overcome this problem, a distortion control method should be applied. For this purpose, it is necessary to develop an accurate prediction method which can explicitly account for the influence of various factors on the welding deformation. Systematic and quantitative theoretical works to clarify the effects of various factors on the welding deformation have rarely been found. Therefore, in this paper, the effects of various factors, such as welding process and gravity on the butt welding deformation have been investigated through a number of numerical analyses. In addition, this paper proposes a simplified analysis method to predict the butt welding deformation in actual plate structure. For this purpose, a simple prediction model for butt welding deformations has been derived based on numerical and experimental results through the regression analysis. Based on these results, the simplified analysis method has been applied to some examples to show its validity.

5축 FMS라인의 절삭 칩 처리를 위한 칩 회수처리장치 시뮬레이션에 관한 연구 (A Study on Simulation of Chip Recycling System for the Management of Cutting Chip in 5-Axis FMS Line)

  • 이인수;김해지;김덕현;김남경
    • 한국기계가공학회지
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    • 제12권6호
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    • pp.175-181
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    • 2013
  • The primary element of machining automation is to maximize the utilization of machine tools, which determines the output and lead-time. In particular, 95% of raw materials for wing ribs are cut into chips and 0.6 ton of chips are generated every hour from each machine tool. In order to verify the chip recycling system that controls the chips from the machines in five-axis FMS line, a simulation of the virtual model is constructed using the QUEST simulation program. The optimum speed of the chip conveyor and its operating conditions that directly affect the efficiency of the FMS line are presented including the chip conveyor speed, the maximum capacity of the hopper, and the number of chip compressors.

필릿 용접된 거더와 종통재 구조의 용접변형 예측 (Prediction of Welding Deformation for Fillet Welded Girder and Stringer Structure)

  • 김상일
    • 대한조선학회논문집
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    • 제40권2호
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    • pp.57-62
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    • 2003
  • The block assembly of ship consists of a certain type of heat processes such as cutting, bending, welding, residual stress relaxation and fairing. The residual deformation due to welding is inevitable at each assembly stage. The geometric inaccuracy caused by the welding deformation tends to preclude the introduction of automation and mechanization and needs the additional man-hours for the adjusting work at the following assembly stage. To overcome this problem, a distortion control method should be applied. For this purpose, it is necessary to develop an accurate prediction method which can explicitly account for the influence of various factors on the welding deformation. The validity of the prediction method must be also clarified through experiments. This paper proposes a simplified analysis method to predict the welding deformation of panel block structure. For this purpose, a simple prediction model for fillet welding deformations has been derived based on numerical and experimental results through the regression analysis. On the basis of these results, the simplified analysis method has been applied to some examples to show its validity.

Development of a Controller for Polishing Robot Attached to Machining Center and Its Performance Evaluation

  • Go, Seok-Jo;Lee, Min-Cheol
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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    • pp.346-351
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    • 1998
  • Cutting process has been automated due to progress of CNC and CAD/CAM, but polishing process has been only depended on experiential knowledge of expert. Polishing work for a curved surface die demands simple and repetitive operations but requires much time for its high precision. Therefore it is operated in the handiwork by skilled worker. However the workers intend to avoid gradually polishing work because of the poor environments such as dust and noise. In order to reduce the polishing time and solve the problem of shortage of skilled workers, it has been done some research for an automation of polishing. To automate the polishing process, a 2 axes polishing robot which is attached to a 3 axes machining center has been developed by our previous research. This automatic polishing robot is able to keep the polishing tool normal on the curved surface of die. Therefore its performance of polishing is improved because of always keeping the tool normal on the surface. In this paper, the smaller sized polishing robot is developed to improve polishing performance. And the controller for 2 axes polishing robot is developed. The controller is composed of TMS320C31 with high speed which is 40-ns instruction cycle time, RAM memory with 64K words, digital input with 64 bits, digital output with 32 bits, and D/A converter with 4 channels, which is 12 bits resolution. To evaluate polishing performance of this developed robot, polishing experiment for shadow mask was carried out.

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Welding Gap Detecting and Monitoring using Neural Networks

  • Kang, Sung-In;Kim, Gwan-Hyung;Lee, Sang-Bae;Tack, Han-Ho
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 추계학술대회 학술발표 논문집
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    • pp.539-544
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    • 1998
  • Generally, welding gap is a serious factor of a falling-off in weld quality among various kind of weld defect. Welding gap is created between two work piece in GMAW(Gas Metal Arc Welding) of horizontal fillet weld because surface of workpiece is not flat by cutting process. In these days, there were many attempts to detect welding gap. though we prevalently use the vision sensor or arc sensor in welding process, it is difficult to detect welding gap for improvement of welding quality. But we have a trouble to find relationship between welding gap and many welding parameters due to non-linearity of welding process. As mentioned about the various difficult problem, we can detect welding gap precisely using neural networks which are able to model non-linear function. Also, this paper was proposed real-time monitoring of weld bead shape to find effect of welding gap and to estimate weld quality. Monitoring of weld bead shape examined the correlation of welding parameters with bead eometry using learning ability of neural networks. Finally, the developed system, welding gap detecting system and bead shape monitoring system, is expected to the successful capability of automation of welding process by result of simulation.

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A Study on Design of Real-time Big Data Collection and Analysis System based on OPC-UA for Smart Manufacturing of Machine Working

  • Kim, Jaepyo;Kim, Youngjoo;Kim, Seungcheon
    • International Journal of Internet, Broadcasting and Communication
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    • 제13권4호
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    • pp.121-128
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    • 2021
  • In order to design a real time big data collection and analysis system of manufacturing data in a smart factory, it is important to establish an appropriate wired/wireless communication system and protocol. This paper introduces the latest communication protocol, OPC-UA (Open Platform Communication Unified Architecture) based client/server function, applied user interface technology to configure a network for real-time data collection through IoT Integration. Then, Database is designed in MES (Manufacturing Execution System) based on the analysis table that reflects the user's requirements among the data extracted from the new cutting process automation process, bush inner diameter indentation measurement system and tool monitoring/inspection system. In summary, big data analysis system introduced in this paper performs SPC (statistical Process Control) analysis and visualization analysis with interface of OPC-UA-based wired/wireless communication. Through AI learning modeling with XGBoost (eXtream Gradient Boosting) and LR (Linear Regression) algorithm, quality and visualization analysis is carried out the storage and connection to the cloud.

MQTT를 이용한 제품 제어 앱 개발 (Development of Product Control Apps using MQTT)

  • 신동진;황승연;김정준
    • 한국인터넷방송통신학회논문지
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    • 제23권5호
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    • pp.77-82
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    • 2023
  • 스마트홈 이전에 주목받았던 인텔리전스홈과 홈오토메이션은 첨단 기술들을 주택에 적용하는 데 초점을 맞추어 사용자들에게 불편성을 안겨주었고, 실질적인 효율성은 부족하여 대중화에 실패했다. 하지만, 현재 4차 산업 혁명과 더불어 빅데이터, 인공지능, 사물 인터넷과 관련된 기술들을 활용한 다양한 서비스가 증가하고 있으며, 다양한 기술들을 기반으로 가정 내에서 제품들을 조작 및 관리하며, 자동화하는 스마트홈 서비스 구축률이 점차 증가하고 있다. 본 논문에서는 이런 동향 추세에 맞춰 MQTT 서버, Django 웹 프레임워크, WIFI 통신 모듈을 활용하여 제품을 연결하고, 조작 및 관리할 수 있는 프로그램 앱을 구현했다.

합성 PC부재에 의한 그린 프레임의 철근물량 산출 자동화 알고리즘 (Automatic Algorithms of Rebar Quantity Take-Off of Green Frame by Composite Precast Concrete Members)

  • 이성호;김선형;이군재;김선국;주진규
    • 한국건설관리학회논문집
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    • 제13권1호
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    • pp.118-128
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    • 2012
  • 1980년대 이후 국내 아파트에서 적용되어온 벽식구조는 리모델링 시 많은 문제점을 유발시켜 정부에서는 법적 인센티브를 제공하며 무량판 및 라멘구조를 장려하고 있다. 이에 따라 기존의 골조의 문제점을 개선한 친환경 라멘조인 그린 프레임이 개발되어 구조적 안전성 뿐 아니라 시공성, 친환경성에 대한 검증이 이루어졌다. 그린프레임의 경우 설계단계에서 작성된 프리캐스트 콘크리트(Precast Concrete; PC) 부재 정보를 이용하여 물량 산출 및 철근 가공도(bar bending schedule) 등을 자동으로 작성하면 인력저감 뿐 아니라 철근 손율(loss)을 줄이는 철근조합을 용이하게 수행할 수 있다. 따라서 본 연구는 합성 PC부재에 의해 설계된 그린 프레임의 철근물량 산출 자동화 알고리즘을 개발하는 것을 목적으로 한다. 철근물량 산출자동화 알고리즘은 구조 설계정보, 시방정보, 합성PC의 철골정보 등을 이용하여 작성한 후 사례현장 적용을 통하여 개발된 알고리즘의 효용성을 증명한다. 개발된 알고리즘에 의해 저장된 정보는 철근가공조립도, 철근 재단 리스트(bar cutting list)작성 자동화 뿐 아니라 철근 손율을 최소화 할 수 있는 최적조합과 주문물량 산출 자동화에도 활용될 것이다. 또한 공사관리인력 저감 뿐 아니라 철근 손율 최소화 관리에 따른 공사 원가절감의 효과를 기대할 수 있다.

현대 패션쇼에 나타난 퍼포먼스적 요소 - 1990년 이후 파리, 런던 컬렉션을 중심으로 - (Performance as a factor in the Contemporary Fashion Show - focus on the Paris and London collections Since the 1990s -)

  • 장안화;박민여
    • 복식
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    • 제51권4호
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    • pp.71-80
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    • 2001
  • Since the beginning of the 90's, Fashion shows appear to be a type of performance form of art combining with other areas to visually entertain the viewers. This can be explained by the modern tendency to escape from society which requires formality and complicated lifestyles. Fashion shows take place in a scene Influenced by the idea of post-modernism which redefines the definition of space. A church, old factory, unoccupied ground, subway stations, or even place like a waste disposal are used as a setting. The stage set is no longer the T shape run way and the procinium arch has disappeared. The gap between audience and stage has diminished and theatrical element is added to the fashion performance by using viewers living and working environments as setting of the show. The human relation with machine based on the cutting edge technology such as the stage automation, robots and mist making sprinkler system introduces new elements with spontaneity and detailed planning in the stage performance. Music also plays an Important role in attracting viewers. The sound track covers house music to techno music. Instead of music being abstract, folks orchestral music, choirs, piano. even live concert performed by pop artist provide the liveliness of the fashion show. And the catwalk itself is a performance. Model needs to be well trained as the capable talent who can handle sensitive gestures, facial expressions, dancing and choreography. The improvisatorial interaction between audience and model lead to audience participation. Models now range from pop star, ordinary people, handicapped people, to elderly and so on. John Galliano introduced the theatrical factors for the fashion show and Alexander Mcqueen approached the fashion show as the visual art of communication. Hussein Chalayan utilized high technology skewing futurism as if in a magic show. Today the Fashion show tends to be a total performance which includes audience participation, impromptu, and that break the limitation that fashion shows previously had. This will lead the fashion industry in opening new horizon of its own.

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