• 제목/요약/키워드: Laser Material Process

검색결과 432건 처리시간 0.031초

The Weldability of Magnesium Alloys for Car Industry

  • Lee, Mok-Young;Chang, Woong-Seong;Yoon, Byung-Hyun
    • 대한용접접합학회:학술대회논문집
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    • 대한용접접합학회 2005년도 춘계학술발표대회 개요집
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    • pp.370-376
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    • 2005
  • Magnesium alloys are becoming important material for light weight car body, due to their low specific density but high specific strength. However they have a poor weldability, caused high oxidization tendency and low vapor temperature. In this study, the welding performance of magnesium alloys was investigated for automobile application. The materials were rolled magnesium alloy sheet contains Al and Zn such as AZ3l , AZ6l and AZ9l. Three types of welding process were studied, that were GTAW, Laser beam welding and FSW. To evaluate the weldability, we examined the appearance of welding bead. Also we checked bead shape and internal defects such as crack and porosity on cross section of welding bead. The mechanical property was measured for welded specimen by tensile test. For determination of the strength change by welding process, the hardness profile across the welding center was measured. For the results, the tensile properties of welded specimen were decreased obviously on all welding process. For the fusion welding process such as GTAW and laser beam welding, the surface of the welding bead was covered with oxidized magnesium dust but it was removed by simple cleaning work as wipe-out with tissue. Also under cut, that caused vaporization of base metal was occurred. for the friction stir welding, there was no oxidation, under-cut or internal defects. However it had poor weld performance, the reason was cleavage fracture occurred at plastic deformation zone. For welding of magnesium alloy, the laser beam welding process was recommended.

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레이져 표면 경화 공정에서 신경회로망을 이용한 경화층 깊이 예측 (Estimation of Hardening Layer Depths in Laser Surface Hardening Processes Using Neural Networks)

  • 우현구;조형석;한유희
    • 한국정밀공학회지
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    • 제12권11호
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    • pp.52-62
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    • 1995
  • In the laser surface hardening process the geometrical parameters, especially the depth, of the hardened layer are utilized to assess the integrity of the hardening layer quality. Monitoring of this geometrical parameter ofr on-line process control as well as for on-line quality evaluation, however, is an extremely difficult problem because the hardening layer is formed beneath a material surface. Moreover, the uncertainties in monitoring the depth can be raised by the inevitable use of a surface coating to enhance the processing efficiency and the insufficient knowledge on the effects of coating materials and its thicknesses. The paper describes the extimation results using neural network to estimate the hardening layer depth from measured surface temperanture and process variables (laser beam power and feeding velocity) under various situations. To evaluate the effec- tiveness of the measured temperature in estimating the harding layer depth, estimation was performed with or without temperature informations. Also to investigate the effects of coating thickness variations in the real industry situations, in which the coating thickness cannot be controlled uniform with good precision, estimation was done over only uniformly coated specimen or various thickness-coated specimens. A series of hardening experiments were performed to find the relationships between the hardening layer depth, temperature and process variables. The estimation results show the temperature informations greatly improve the estimation accuracy over various thickness-coated specimens.

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Laser Welding Quality Monitoring with an Optical Fiber System

  • Kim, Jin-Tae;Kim, Do-Hyoung;Chung, Chin-Man;Baik, Sung-Hoon;Park, Seung-Kyu;Kim, Min-Suk
    • Journal of the Optical Society of Korea
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    • 제7권3호
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    • pp.193-196
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    • 2003
  • We have developed a laser welding monitoring system to monitor laser welding process conditions such as sample feed rate, laser focal position, and laser power. A 2 ㎾ Nd:YAG CW laser beam has been applied to the welding of a stainless steel plate (SUS306) to investigate the welding monitoring. Theradiation signal from the weld pool was guided back through the focusing optics and the laser delivery fiber, and measured by a photo detector. By changing the focus of the laser beam along the z-direction, the penetration depth of the welding material has been measured. That shows the penetration depth depends on the frequency fluctuations of the plume signals which can be used in welding quality control.

저탄소강의 알루미늄 도금조건에 따른 Nd:YAG 레이저 용접성 (Weldability of Low Carbon Steel with Al Coating Condition by Nd:YAG Laser)

  • 김종도;이정한;김숙환
    • Journal of Advanced Marine Engineering and Technology
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    • 제31권6호
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    • pp.736-743
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    • 2007
  • Laser welding has the advantage of high welding speed and Provides low heat distortion Thus laser welding is a very attractive process for joining thin steel sheet and surface treated steel sheet. And the major item in market for surface treated steel sheet is zinc coated steel. However. the laser welding of zinc coated steel is very difficult because of its low boiling point. Compared with zinc, on the other hand, aluminum has a high boiling point. Thus, laser weldability of aluminized steel is better than that of zinc coated steel. Moreover aluminized steel sheet is a material with excellent heat resistance, thermal reflection and corrosion resistance. The results of laser weldability of the aluminized steel for the full penetration welding will be described in this paper We focused on the investigation of the phenomenons caused by coating condition and behavior of aluminum in weld.

A Study of Deposition Mechanism of Laser CVD SiO2 Film

  • Sung, Yung-Kwon;Song, Jeong-Myeon;Moon, Byung-Moo
    • Transactions on Electrical and Electronic Materials
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    • 제4권5호
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    • pp.33-37
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    • 2003
  • This study was performed to investigate the deposition mechanism of SiO$_2$ by ArF excimer laser(l93nm) CVD with Si$_2$H$\_$6/ and N$_2$O gas mixture and evaluate laser CVD quantitatively by modeling. With ArF excimer laser CVD, thin films can be deposited at low temperature(below 300$^{\circ}C$), with less damage and good uniformity owing to generation of conformal reaction species by singular wavelength of the laser beam. In this study, new model of SiO$_2$ deposition process by laser CVD was introduced and deposition rate was simulated by computer with the basis on this modeling. And simulation results were compared with experimental results measured at various conditions such as reaction gas ratio, chamber pressure, substrate temperature and laser beam intensity.

레이저를 이용한 재료가공 (Material Processing by Laser)

  • 황경현;이성국
    • 한국광학회지
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    • 제1권1호
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    • pp.98-106
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    • 1990
  • Lasers are used increasingly for specialized engineering applications such as drilling, profile cutting, welding and surface heat-treatment(hardening, alloying, annealing0 of metals and non-metals. The most important characteristics of lasers used for these materials-processing applications are reviewed, with special emphasis on the importance of the controlled heating process. In addition to these processes, some optical devices and supplementary equipment used in laser processing are introduced. Finally, some examples shows the wide variety of laser capability for substitution of traditional materials processing.

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신경망과 유전 알고리즘을 이용한 광소자용 ZnO 박막 특성 공정 모델링 및 최적화 (Process Modeling and Optimization for Characteristics of ZnO Thin Films using Neural Networks and Genetic Algorithms)

  • 고영돈;강홍성;정민창;이상렬;명재민;윤일구
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2004년도 하계학술대회 논문집 Vol.5 No.1
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    • pp.33-36
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    • 2004
  • The process modeling for the growth rate in pulsed laser deposition(PLD)-grown ZnO thin films is investigated using neural networks(NNets) and the process recipes is optimized via genetic algorithms(GAs). D-optimal design is carried out and the growth rate is characterized by NNets based on the back-propagation(BP) algorithm. GAs is then used to search the desired recipes for the desired growth rate. The statistical analysis is used to verify the fitness of the nonlinear process model. This process modeling and optimization algorithms can explain the characteristics of the desired responses varying with process conditions.

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레이저 드릴링을 통한 강판 가공 시 응력 모델링 (Stress Modeling of the Laser Drilling Process in Carbon Steel)

  • 이우람;김주한
    • 대한기계학회논문집A
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    • 제37권7호
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    • pp.857-864
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    • 2013
  • 레이저 정밀 가공은 고품질의 집속 광에너지를 이용하여 재료를 미세하게 가공하는 특수 가공으로 정밀 제조 분야에 적용되고 있다. 그러나 레이저 가공 시 열적 효과로 인해 재료 특성을 저하 시킬 수 있다. 또한, 압연 강재 및 강판의 경우 공정 단계에서 강한 압력으로 제작하기 때문에 반드시 잔류응력이 존재한다. 하지만 압연 강재에 존재하는 잔류응력의 양은 정량적인 예측이 불가능하다. 이러한 잔류응력이 존재하는 재료의 레이저 가공 시 레이저에 의한 부가적인 응력 발생 및 재료에 미치는 열적 영향의 예측 및 평가는 정밀 가공에 있어서 반드시 고려해야 하는 사항이다. 본 연구에서는 레이저 홀 가공 시 발생되는 온도 및 응력을 유한요소 해석과 실험적 방법으로 분석하였다. 재료의 열응력을 예측하기 위해 레이저 홀가공 실험을 수행하여 가열 및 냉각 등의 대한 결과를 도출하였다. 또한 냉각 시간에 따른 응력의 변화를 파악하였고 유한요소 해석으로 예측된 응력을 홀드릴링 응력 측정 기법에 의해 도출된 응력과 비교 검증하였다.

레이저프린터용 닥터 블레이드 생산 자동화 (Automated Production System for Manufacturing the Doctor Blades of Laser Printers)

  • 전성훈;이응기
    • 한국생산제조학회지
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    • 제21권4호
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    • pp.633-638
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    • 2012
  • The doctor blade is a core part of a laser printer and directly influences the printing quality. The main specifications for doctor blades ate for them to be precise and durable. It is necessary to study an automatic production system for doctor blades in order to obtain high-efficient manufacturing processes. In this paper, the technology and the design of the automatic production line has for manufacturing doctor blades has been researched. The automated manufacturing process consists of five steps, which are the supplying of raw material, shearing, bending, bracket supplying, and the laser-spot welding process. The proposed automatic manufacturing system allowed for faster and more reliable production of doctor blades.

고출력 laser diode를 위한 AR, HR coating simulation에 관한 연구 (A study on AR, HR coating simulations for the high power laser diode)

  • 류정선;윤영섭
    • E2M - 전기 전자와 첨단 소재
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    • 제9권5호
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    • pp.498-505
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    • 1996
  • In the present work, we have developed the simulator to optimize the process conditions of the AR(antireflection) and HR(high-reflection) coatings for the high power laser diode. The simulator can run on the PC. After making the simple optical model, we establish the Maxwell equations for the model by the operator conversion. By using the Mathematica, we derive a matrix for the multilayer system by applying the equations to the model and optimize the AR and HR coating process conditions by obtaining the reflection rate from the matrix. We also prove the validity of the simulator by comparing the simulation with the characteristics of the laser diode which is AR and HR coated according to the optimized conditions.

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