• Title, Summary, Keyword: 용접 데이터

Search Result 73, Processing Time 0.061 seconds

Research of Titanium Weld Monitoring Systems (티타늄 용접 모니터링 시스템 연구)

  • Ryu, Jin-Bo;Kim, Gwan-Hyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • /
    • pp.674-675
    • /
    • 2016
  • 원자번호 22번에 해당하는 티타늄(titanium)은 매우 단단하며 가볍고, 부식에도 강한 금속이다. 티타늄은 비슷한 강도의 강철에 비해서 가볍고 알루미늄 합금에 비해 2배나 강력하다. 뿐만 아니라 티타늄은 바닷물에도 부식되지 않아 선박이다 해양플랜트 산업에서 많이 쓰이는 금속이기도 하다. 본 연구는 해양플랜트 건설 사업에 쓰이는 티타늄 용접에 대한 모니터링 시스템을 연구하는데 있다. 티타늄 용접공정에 사용되는 용접 파라메타는 용접 전압, 전류, 용접 토치의 위빙속도 및 와이어 공급 속도로 선정하였으며, 이러한 용접 파라메타를 계측할 수 있는 MCU 기반의 계측 보드를 설계하여 TCP/IP 통신을 기반으로 원격지로 용접 데이터를 전송하도록 하였으며, 이러한 데이터를 실시간으로 데이터를 그래프로 표현하도록 개발하였다. 이러한 용접 데이터에 대한 모니터링을 통하여 용접 시 발생하는 다양한 현상을 파악할 수 있도록 하였다. 본 연구를 통해서 티타늄 용접 시 발생하는 각종 데이터를 실시간으로 모니터링 할 수 있도록 개발하였으며, 데이터베이스에 저장된 기록을 통해서 용접 시 발생한 전체적인 용접 과정을 날짜와 시간별로 저장하여 용접과정에서 발생하는 전 과정을 관리할 수 있도록 하여 어떤 부분에서 잘못된 용접이 발생했는지 파악할 수 있음을 확인하였다.

  • PDF

Development of management system for PQR (PQR(Procedure Qualification Record)관리 시스템 개발)

  • 김대근;성희준;최기영
    • Journal of Welding and Joining
    • /
    • v.15 no.4
    • /
    • pp.11-23
    • /
    • 1997
  • 시험편을 용접할때 사용한 용접 변수의 기록서인 PQR(Procedure Qualification Record)은, 용접구조물을 제작하는 제조 업체에서, 수시로 PQ Test를 수행하여 작성되고 있으며, 가장 기본적이고 중요한 용접 데이터이기 때문에 소중하게 관리되고 있다. 그리고, PQR의 수량이 많아지면, 관리에 많은 어려움이 따르고, 필요 한 데이터를 찾는데 많은 시간이 소요될뿐만 아니라, 정확한 데이터를 찾아내는 것도 쉽지가 않다. 따라서, PQR 관리 시스템을 개발하여, PQR의 데이터를 쉽게 활용하고, 자료 검색을 간단하게 할 수 있으며, PQR의 작성을 간편하게 하고자 PQR 관리 시스템 을 개발 하였다. 본 시스템의 특징은 PQR 양식을 새롭게 표준화하여 출력할 수 있게 하였고, PQR 작성을 처음 시작하는 사용자도 쉽게 배워 업무에 적용할 수 있다. 이는 용접 전문가의 노하우가 데이터 베이스에 내재되어 있어 서로 관련된 정보의 반복 입력이 적으며, 한 개의 데이터로 다른 데이터가 자동 결정되고, 데이터의 입력방식 이 키인(Keyboard Input)이 아닌 리스트(List)에서 선택하는 방식으로 하였다. 또한, 용접부 개선 형상의 Outline을 제공하여 수작업의 부담을 줄였으며, 검색의 기능이 강력하여 검색조건 선정에 제한이 없다. 그러므로, 본 시스템은 전반적으로 용접전문 가의 지식을 프로그래밍한 지능성, 전문성, 복합성을 가진 시스템이라 할 수 있다. 본 고에서는 ASME CODE에 따라서 작성되는 PQR의 관리 시스템을 소개하고자 한다.

  • PDF

A Study on a Working Pattern Analysis Prototype using Correlation Analysis and Linear Regression Analysis in Welding BigData Environment (용접 빅데이터 환경에서 상관분석 및 회귀분석을 이용한 작업 패턴 분석 모형에 관한 연구)

  • Jung, Se-Hoon;Sim, Chun-Bo
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.9 no.10
    • /
    • pp.1071-1078
    • /
    • 2014
  • Recently, information providing service using Big Data is being expanded. Big Data processing technology is actively being academic research to an important issue in the IT industry. In this paper, we analyze a skilled pattern of welder through Big Data analysis or extraction of welding based on R programming. We are going to reduce cost on welding work including weld quality, weld operation time by providing analyzed results non-skilled welder. Welding has a problem that should be invested long time to be a skilled welder. For solving these issues, we apply connection rules algorithms and regression method to much pattern variable for welding pattern analysis of skilled welder. We analyze a pattern of skilled welder according to variable of analyzed rules by analyzing top N rules. In this paper, we confirmed the pattern structure of power consumption rate and wire consumption length through experimental results of analyzed welding pattern analysis.

Study on the Seam Tracking by Using Fiber Sensor and X-Y Robot (Fiber Sensor와 X-Y Robot을 이용한 용접선 추적에 관한 연구)

  • 배철오;박영산;이성근;김윤식;안병원
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.5 no.1
    • /
    • pp.144-149
    • /
    • 2001
  • There are many types of seam tracking methods actually used in industrial spot. Lately, Non-contact sensor technics are mostly used because non-contact sensor has more advantage than contact sensor in many parts. This paper also concerned about fiber sensor a kind of non-contact sensor. X-Y robot and fiber sensor scan the seam tracking to be weld. After scanning, X-Y robot moves the first working point of being scanned and welding starts automatically. It makes an experiment on some types of Seam tracking like straight line tracking, leaned line tracking and curved line tracking to confirm how well the fibers sensor tracks the seam pass to be weld. And the seam pass that had been tracked was welded by inverter $CO_2$ voiding machine.

  • PDF

Study on the Seam Tracking by Using Fiber Sensor and X-Y Robot (Fiber Sensor와 X-Y Robot을 이용한 용접선 추적에 관한 연구)

  • 배철오;이성근;김윤식;안병원;박영산
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • /
    • pp.558-561
    • /
    • 2000
  • There are many types of seam tracking methods actually used in industrial spot. Lately, Non-contact sensor technics are mostly used because non-contact sensor has more advantage than contact sensor in many parts. This paper also concerned about fiber sensor a kind of non-contact sensor. X-Y robot and fiber sensor scan the seam tracking to be weld. After scanning, X-Y robot moves the first working point of being scanned and welding starts automatically. It makes an experiment on some types of Seam tracking like straight line tracking, leaned line tracking and curved line tracking to confirm how well the fibers sensor tracks the seam pass to be weld. And the seam pass that had been tracked was welded by inverter CO2 welding machine.

  • PDF

Accelerated Life Prediction for STS301L Gas Welded Joint (I) - Fillet Type - (STS301L 가스용접 이음재의 가속수명예측 (I) - Fillet Type -)

  • Baek, Seung-Yeb
    • Transactions of the Korean Society of Mechanical Engineers A
    • /
    • v.34 no.4
    • /
    • pp.467-474
    • /
    • 2010
  • Stainless steel sheets are widely used as the structural material for railroad cars and commercial vehicles. Structures made of stainless steel sheets are commonly fabricated by gas welding, For the fatigue design of gas welded joints such as fillet joints, it is necessary to obtain design information of the stress distribution at the weldment as well as the fatigue strength of the gas-welded joints. Further, the influence of the geometrical parameters of gas-welded joints on stress distribution and fatigue strength must be evaluated. in this study, ${\Delta}P-N_f$ curves were obtained by fatigue tests. and, the ${\Delta}P-N_f$ curves were rearranged on the basis of the ${\Delta}{\sigma}-N_f$ relation for the hot-spot stresses at the gas-welded joints. These results, were used for conducting an accelerated life test(ALT) From the experiment results, an acceleration model was derived and factors were estimated. The objective is to obtain the information required for the analysis of the fatigue lifetime of fillet welded joints and for data analysis by the statistic reliability method to save time and cost and to develop optimum accelerated life prediction plans.

Optimal Teaching for a Spot Welding Robot Using CAD Data (CAD 데이타를 이용한 용접용 로보트의 최적 교시)

  • Yi, Soo-Yeong;Chung, Myung-Jin;Bien, Zeung-Nam
    • Journal of the Korean Institute of Telematics and Electronics
    • /
    • v.27 no.10
    • /
    • pp.24-33
    • /
    • 1990
  • Since a number of welding points are distributed in an automobile part, the number of welding points alloted to each robot are large. So, there is an increasing need of an optimal sequence planning to minimize the total welding time. In this paper, an off-line programming scheme for effective teaching of a spot welding robot is presented. A collision free, optimal welding sequence planning is done through applying the modified Traveling Salesman Problem algorithm. Also, a data extraction method from an existing general CAD system is presented for reuse of the existing exact model data produced by a model designer and easy constructing the world model data base. The result show that the proposed system could enhance the efficiency of spot welding robot in automobile industry.

  • PDF

A study on the welding current and voltage signal processing method for the quality evaluation of robotic GMAW (GMAW 품질분석을 위한 신호처리 방법에 관한 연구)

  • Hong, Woo Heon;Ryu, Jeong Tak
    • Journal of the Korea Industrial Information Systems Research
    • /
    • v.19 no.6
    • /
    • pp.25-31
    • /
    • 2014
  • Gas metal arc welding (GMAW) is currently the most widely used arc welding processes in the industry because of its high metal deposition rate, flexibility and low cost. It is attractive for high-productivity manufacturing applications and is well suited to automatic or robotic welding. Welding voltage and current have a significant impact on the weld bead. However, welding voltage and current are changed variously according to welding condition and user environment, and prediction is impossible. To determine the welding conditions, the welding current and voltage are applied to the appropriate data analysis techniques. In this paper, we used the moving average filter to the welding voltage and current data, and normal and abnormal welding waves were distinguished.

The Weldability Estimation for the Purpose of Real-Time Inspection and Control (실시간 검사 및 제어를 목적으로 한 용접성 평가)

  • Lee, Jeong-Ick
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.9 no.3
    • /
    • pp.605-610
    • /
    • 2008
  • Through welding fabrication, user can feel unsatisfaction of surface quality because of welded defects, Generally speaking, these are called weld defects. For checking these defects effectively without time loss effectively, weldability estimation system setup is an urgent thing for detecting whole specimen quality. In this study, by laser vision camera, catching a rawdata on welded specimen profiles, treating vision processing with these data, qualitative defects are estimated from getting these information at first. At the same time, for detecting quantitative defects, whole specimen weldability estimation is pursued by multifeature pattern recognition, which is a kind of fuzzy pattern recognition. For user friendly, by weldability estimation results are shown each profiles, final reports and visual graphics method, user can easily determined weldability. By applying these system to welding fabrication, these technologies are contribution to on-line weldability estimation.