Journal ArticleDOI
Parameters optimization of laser brazing in crimping butt using Taguchi and BPNN-GA
Youmin Rong,Zhen Zhang,Zhen Zhang,Guojun Zhang,Chen Yue,Yafei Gu,Yu Huang,Chunming Wang,Xinyu Shao +8 more
TLDR
In this paper, a 3-factor, 5-level welding experiment is conducted by Taguchi L25 orthogonal array through the statistical design method, and the output results are efficient connection length of left side and right side, top width (WT) and bottom width (WB) of the weld bead.About:
This article is published in Optics and Lasers in Engineering.The article was published on 2015-04-01. It has received 60 citations till now. The article focuses on the topics: Welding & Heat-affected zone.read more
Citations
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Journal ArticleDOI
Application of sensing techniques and artificial intelligence-based methods to laser welding real-time monitoring: A critical review of recent literature
TL;DR: This fundamental work aims to review the research progress in laser welding monitoring and provide a basis for follow-on research on the potential research problems and challenges based on real-time intelligent monitoring.
Journal ArticleDOI
An innovative hybrid air pollution early-warning system based on pollutants forecasting and Extenics evaluation
TL;DR: The developed early warning system can achieve good performance in terms of its accuracy and effectiveness, and the positive interval forecasting results and good precision of Extenics evaluation indicate the efficiency and scalability of the designed earlywarning system.
Journal ArticleDOI
Numerical simulation and designing artificial neural network for estimating melt pool geometry and temperature distribution in laser welding of Ti6Al4V alloy
Mohammad Akbari,Seyfolah Saedodin,Afshin Panjehpour,Mohsen Hassani,Masoud Afrand,Mohammad Javad Torkamany +5 more
TL;DR: In this paper, two feed-forward back propagation neural network models with 11 and 14 neurons were developed to predict optimum process parameters with mean square errors of 0.079 and 0.063.
Journal ArticleDOI
Welded joints integrity analysis and optimization for fiber laser welding of dissimilar materials
TL;DR: In this article, an optimization method by taking the integrity of the weld bead and weld area into consideration is proposed for FLW of dissimilar materials, the low carbon steel and stainless steel.
Journal ArticleDOI
Optimization of laser brazing onto galvanized steel based on ensemble of metamodels
TL;DR: An optimization methodology by combining genetic algorithm (GA) and ensemble of metamodels (EMs) to address the process parameters optimization of the bead profile in LB with crimping butt exhibits great capability of guiding the actual LB processing and improving welding quality.
References
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Book ChapterDOI
Learning internal representations by error propagation
TL;DR: This chapter contains sections titled: The Problem, The Generalized Delta Rule, Simulation Results, Some Further Generalizations, Conclusion.
Book
Learning internal representations by error propagation
TL;DR: In this paper, the problem of the generalized delta rule is discussed and the Generalized Delta Rule is applied to the simulation results of simulation results in terms of the generalized delta rule.
BookDOI
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
TL;DR: Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways.
Journal ArticleDOI
A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems
TL;DR: A novel hybrid Genetic Algorithm (GA) / Particle Swarm Optimization (PSO) for solving the problem of optimal location and sizing of DG on distributed systems is presented to minimize network power loss and better voltage regulation in radial distribution systems.
Journal ArticleDOI
Using multi-objective genetic algorithm for partner selection in green supply chain problems
Wei-Chang Yeh,Mei-Chi Chuang +1 more
TL;DR: The aim of this research was to develop an optimum mathematical planning model for green partner selection, which involved four objectives such as cost, time, product quality and green appraisal score and adopted two multi-objective genetic algorithms to find the set of Pareto-optimal solutions.