서지주요정보
Nd-YAG레이저 점용접시 얇은평판의 가공특성 및 용접부 형상 예측에 관한 연구 = A study on process characteristics and prediction of weld shapes for spot welding of thin plate using Nd-YAG laser
서명 / 저자 Nd-YAG레이저 점용접시 얇은평판의 가공특성 및 용접부 형상 예측에 관한 연구 = A study on process characteristics and prediction of weld shapes for spot welding of thin plate using Nd-YAG laser / 김석훈.
저자명 김석훈 ; Kim, Seok-Hoon
발행사항 [대전 : 한국과학기술원, 1997].
Online Access 원문보기 원문인쇄

소장정보

등록번호

8008018

소장위치/청구기호

학술문화관(문화관) 보존서고

MME 97095

SMS전송

도서상태

이용가능

대출가능

반납예정일

초록정보

Process charcteristics and prediction of weld shapes were studied for spot welding of thin plate using Nd-YAG laser. Weld variables such as plate thckness, gap size, focal length, pulse energy, pulse duration were selected and varied to make various experiments. Finit difference method and neural network theory were applied to predict nugget size and penetration depth for weld shapes. In case of specimens with no gap between thin plates, finit defference method was used to calculate penetration depth and nugget size. The calculated results were compared with experimental results to verify the proposed finite difference method. Neural network theory was applied for specimens with gap between thin plate. Three different combinations of weld variables were considered to find out the appropriate learning results. The reliability of proposed model for neural network was verified in comparison with error percentage between experimental data and estimated data. In application, combined model of finite difference method and neural network was applied for the prediction of bead shapes. Finally evaluation program based on learning results to neural network was developed to predict the configuration of weld shapes for various welding conditions which were not experimented.

서지기타정보

서지기타정보
청구기호 {MME 97095
형태사항 ii, 59 p. : 삽도 ; 26 cm
언어 한국어
일반주기 저자명의 영문표기 : Seok-Hoon Kim
지도교수의 한글표기 : 나석주
지도교수의 영문표기 : Suck-Joo Na
학위논문 학위논문(석사) - 한국과학기술원 : 기계공학과,
서지주기 참고문헌 : p. 26-28
주제 Nd-TAG 레이저
너겟크기
용입깊이
점용접
예측
Nd-YAG laser
Nugget size
Penetration depth
Spot welding
Prediction
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