• Title/Summary/Keyword: Wire feed rate

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Determination on Optima Condition for a Gas Metal Arc Welding Process Using Genetic Algorithm (유전 알고리즘을 이용한 가스 메탈 아크 용접 공정의 최적 조건 설정에 관한 연구)

  • 김동철;이세헌
    • Journal of Welding and Joining
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    • v.18 no.5
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    • pp.63-69
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    • 2000
  • A genetic algorithm was applied to an arc welding process to determine near optimal settings of welding process parameters which produce good weld quality. This method searches for optimal settings of welding parameters through systematic experiments without a model between input and output variables. It has an advantage of being able to find optimal conditions with a fewer number of experiments than conventional full factorial design. A genetic algorithm was applied to optimization of weld bead geometry. In the optimization problem, the input variables was wire feed rate, welding voltage, and welding speed and the output variables were bead height, bead width, and penetration. The number of level for each input variable is 16, 16, and 8, respectively. Therefore, according to the conventional full factorial design, in order to find the optimal welding conditions, 2048 experiments must be performed. The genetic algorithm, however, found the near optimal welding conditions from less than 40 experiments.

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Determination of optimal Conditions for a Gas Metal Arc Wending Process Using the Genetic Algorithm

  • Kim, D.;Rhee, S.
    • International Journal of Korean Welding Society
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    • v.1 no.1
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    • pp.44-50
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    • 2001
  • A genetic algorithm was applied to the arc welding process as to determine the near-optimal settings of welding process parameters that produce the good weld quality. This method searches for optimal settings of welding parameters through the systematic experiments without the need for a model between the input and output variables. It has an advantage of being capable to find the optimal conditions with a fewer number of experiments rather than conventional full factorial designs. A genetic algorithm was applied to the optimization of the weld bead geometry. In the optimization problem, the input variables were wire feed rate, welding voltage, and welding speed. The output variables were the bead height bead width, and penetration. The number of levels for each input variable is 16, 16, and 8, respectively. Therefore, according to the conventional full factorial design, in order to find the optimal welding conditions,2048 experiments must be performed. The genetic algorithm, however, found the near optimal welding conditions in less than 40 experiments.

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Development of Statistical Model and Neural Network Model for Tensile Strength Estimation in Laser Material Processing of Aluminum Alloy (알루미늄 합금의 레이저 가공에서 인장 강도 예측을 위한 회귀 모델 및 신경망 모델의 개발)

  • Park, Young-Whan;Rhee, Se-Hun
    • Journal of the Korean Society for Precision Engineering
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    • v.24 no.4 s.193
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    • pp.93-101
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    • 2007
  • Aluminum alloy which is one of the light materials has been tried to apply to light weight vehicle body. In order to do that, welding technology is very important. In case of the aluminum laser welding, the strength of welded part is reduced due to porosity, underfill, and magnesium loss. To overcome these problems, laser welding of aluminum with filler wire was suggested. In this study, experiment about laser welding of AA5182 aluminum alloy with AA5356 filler wire was performed according to process parameters such as laser power, welding speed and wire feed rate. The tensile strength was measured to find the weldability of laser welding with filler wire. The models to estimate tensile strength were suggested using three regression models and one neural network model. For regression models, one was the multiple linear regression model, another was the second order polynomial regression model, and the other was the multiple nonlinear regression model. Neural network model with 2 hidden layers which had 5 and 3 nodes respectively was investigated to find the most suitable model for the system. Estimation performance was evaluated for each model using the average error rate. Among the three regression models, the second order polynomial regression model had the best estimation performance. For all models, neural network model has the best estimation performance.

Development of Teflon Coating Equipment Used in Medical Treatment (의료용 가이드 와이어의 테프론 코팅 장치 개발)

  • Choi, Jeongju
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.11
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    • pp.344-349
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    • 2018
  • This paper proposes a method of designing the main parameters of the Teflon coating equipment of a guide wire used in medical treatment. The proposed device was designed to be guided by a reel-to-reel method in which the guide wire performs all processes continuously, such as Teflon coating and heat treatment. At this time, the conveyed guide wire vibrates between the rollers, which affects the quality of the coating. Therefore, this paper proposes a dynamic equation of the guide wire to be transported in the longitudinal direction, and design parameters setting method of the feed speed and the interval of the roller supporting the wire is proposed to minimize the vibration amplitude of the guide wire during transport. The Teflon coating of the medical guide wire was carried out based on the developed coating equipment. The target coating thickness of the guide wire was set to less than $10{\mu}m$ in the circumferential direction, and the results were examined by optical microscopy.

A Study on the Characteristics of Wire Electrical Discharge Machining of the High-Hardened Mold Steel (고경도 금형강의 와이어 방전가공특성에 관한 연구)

  • Lee, S.H.;Jung, T.S.
    • Transactions of Materials Processing
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    • v.15 no.9 s.90
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    • pp.648-653
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    • 2006
  • In this study, the characteristics of Wire Electrical Discharge Machining(WEDM) of the high-hardened mold steel were investigated. WEDM experiments have been carried out based on parameter of wire diameter, pulse on time, pulse off time, feed rate and cycle etc. From the results, the optimized WEDM cycle of RIGOR steel has been revealed as $5{\sim}7$ times. Also, geometrical accuracy of the Core Pin is dependent on WEDM wire radius machining condition and wire chattering.

Technology on Arc Welding Machine of Aluminum by Digital Control (디지털 제어를 이용한 알루미늄 아크 용접기의 기술현황)

  • Lee, Chang-Je;Kim, Yu-Chan;Kim, Jong-Do
    • Journal of Welding and Joining
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    • v.31 no.1
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    • pp.26-32
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    • 2013
  • Recently, welding technology of nonferrous metals which were difficult to implement by arc welder has become available through digitalization of arc welding machine. Among them, the welding quality improvement of aluminum welding is very noticeable. These results increase the arc stability by controlling arc current and voltage waveform precisely, and control wire feed speed by synchronizing with arc current which the feed rate of filler wire is controlled by a precise motor control of servomotor and not by a simple constant speed feeding. Not only through the hardware digitalization of arc welding machine but also through advance of software of arc welding, it became possible to implement a certain level of welding quality by a simple operation. These led to CMT welding process implementation which requires low heat input than current arc welding and highly increased the applicability of the aluminum welding.

Wire Feeding Speed Control for Improving Welding Performances in Inverter Arc Welding Machine

  • Gho, J.S.;Chae, Y.M.;Chae, J.W.;Mok, H.S.;Choe, G.H.;Shin, W.S.
    • Proceedings of the KIPE Conference
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    • 1998.10a
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    • pp.464-469
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    • 1998
  • In the conventional wire feeder drives of welding machine, one thyristor or MOSFET device was used for half-wave phase control circuit and direct EMF measurement was used for sensing the wire feed rate. But the method using one switching device has poor response for sudden disturbance and it has latent speed ripple. It can affect some welding performance such as spatter generation and irregular bead formming. Therefore, the welding performance using full-bridge PWM speed control scheme was compared with conventional driving scheme was compared with conventional driving scheme and experimented in this paper. The results of experiment confirm the posibility of welding performance improvement by proposed constant speed control scheme in wire feeding drive of welding machine.

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Development of Welding Quality Monitoring Method for TIG Cladding (TIG클래딩 공정에 대한 품질 모니터링기법의 개발)

  • Cho, Sang Myung;Son, Min Su;Park, Jung Hyun
    • Journal of Welding and Joining
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    • v.31 no.6
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    • pp.90-95
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    • 2013
  • Pipe inside clad welding is mainly used to the flow pipe of sub-sea or chemical plant. For the inside clad welding to the medium pipe with the diameter of about 12", TIG welding is frequently applied with filler metal. In this case, the clad welding has the very broad weld area over $10m^2$. And, the non-destructive test (NDT) such as ultrasonic test (UT) or radiographic testing (RT) should be conducted on the broad weld area, and it costs very high due to the time-consuming work. Therefore, the present study investigated the variation of arc voltage to develop the in-line quality monitoring system for the pipe inside TIG cladding. The 4 experimental parameters (current, arc length, wire feed position, and shield gas flow rate) varied to observe the change of arc voltage and to establish the model for the monitoring. The arc voltage was decreased when the wire was fed to the backward eccentric position(over 2mm), and the shield gas flow rate was insufficient under 10L/min. In the case of the backward eccentric position over 2mm, the bead appearance was not good and the dilution ratio was increased due to deep penetration. When the shield gas flow rate was lower than 10L/min, the bead surface was oxidized.