Earticle

초록

영어

Welding sequence is the important influence factor of the temperature field and residual stress and deformation in welding structure, At present, determining the welding sequence is usually based on experience and test method. For complex structure it is very difficult to get the optimum welding sequence. This study is aiming to settle the problem of solving the optimum welding sequence of complex box welding structure. In our study, we take the welding deformation as objective function, and then, associate glowworm swarm optimization algorithm with thermal-mechanical coupling and nonlinear thermal elastoplastic finite element model to optimize numerical simulation, eventually the optimum welding sequence is determined. Optimization results demonstrate that the optimum welding sequence obtained by our method has small welding deformation and little change rate. At the same time, our method is faster, more accurate, more effective than the traditional experience or test method.

목차

Abstract
 1. Introduction
 2. Welding Sequence Optimization
  2.1. The Model of the Problem
  2.2. The Establishment of the Glowworm Swarm Optimization Algorithm Optimization Model
 3. Experiment Results and Analyses
  3.1 Physical Property Parameters of Welding Material
  3.2. Test Parameter Settings of the Glowworm Swarm Optimization Algorithm
  3.3. Performance Analysis
 4. Conclusions
 Acknowledgements
 References

키워드

저자

• Du Xiao-xin [ College of Computer and Control Engineering, Qiqihar University, Qiqihar Heilongjiang 161006, China ]
• Zhang Jian-fei [ College of Computer and Control Engineering, Qiqihar University, Qiqihar Heilongjiang 161006, China ]
• GuoYuan [ College of Computer and Control Engineering, Qiqihar University, Qiqihar Heilongjiang 161006, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605