scholarly journals Finite Element Analysis of Thermal Effects in Diode End-Pumped Solid-State Lasers

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Moustafa Sayem El-Daher
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Solid State ◽  
Thermal Effects ◽  
Beam Quality ◽  
Focal Length ◽  
Thermal Lensing ◽  
Solid State Lasers ◽  
Element Analysis ◽  
Composite Crystals

Thermal effects are the main obstacle to getting high power and good beam quality in diode end-pumped solid-state lasers. In this work, a theoretical investigation of thermal effects in single and dual end-pumped solid-state lasers is carried out using finite element analysis (FEA) for a selected number of widely used laser producing materials, namely, Nd:YAG, Yb:YAG, and Nd:KGW. Crystals with different dimensions are also investigated both in single and in dual end-pumped configuration. Finally, the effect of using composite crystals on thermal lensing is investigated. An experiment to measure the thermal focal length for two different crystals was carried out and a comparison with FEA computed focal length of the thermal lens is made. In all cases studied in this work, results show clear effects of thermal lensing with some differences depending on crystal type, pump power, and size.

Numerical Studies on Friction Stir Welding of Lightweight Materials

2013 ◽  
Vol 743 ◽  
pp. 118-122 ◽  
Author(s):  
Xiao Cong He
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Friction Stir Welding ◽  
Solid State ◽  
Process Parameters ◽  
Element Analysis ◽  
Friction Stir ◽  
Numerical Studies ◽  
Metal Sheets ◽  
Major Factors

Friction stir welding (FSW) is a relatively new solid-state fastening method which is suitable for joining advanced lightweight metal sheets that are hard to weld. Latest literature relating to finite element analysis (FEA) of FSW process is reviewed in this paper. The recent development in FEA of FSW process is described with particular reference to three major factors that influence the performance of FSW joints: modeling technique, tool design and process parameters. The main FE methods used in FSW process are discussed and illustrated with brief case studies from the literature.

Stability reallocation of large solid state laser based on finite element analysis

2010 ◽  
Vol 22 (5) ◽  
pp. 1073-1076 ◽  
Author(s):  
陈学前 Chen Xueqian ◽  
冯加权 Feng Jiaquan ◽  
徐元利 Xu Yuanli
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Solid State ◽  
Solid State Laser ◽  
Element Analysis ◽  
State Laser

scholarly journals Design and performance analysis of a new optimization algorithm based on Finite Element Analysis

2020 ◽  
Vol 103 (3) ◽  
pp. 003685042095085
Author(s):  
Zhiqiang Ning ◽  
Youshan Gao ◽  
Aihong Wang
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Solid State ◽  
Local Search ◽  
Optimization Algorithm ◽  
Population Based ◽  
Global Search ◽  
Element Analysis ◽  
State Diffusion ◽  
And Performance

Aiming at the problem that many algorithms could not effectively balance the global search ability and local search ability, a new optimization algorithm is proposed. Inspired by Finite Element Analysis (FEA) approach, a relationship of mapping between Finite Element Analysis approach and a population-based optimization algorithm is constructed through comparing the similarities and differences of FEA node and ideal particle. In algorithm framework, the stiffness coefficient corresponds to a user-defined function of the value of an objective function to be optimized, and the node forces among individuals are defined and an attraction-repulsion rule is established among them. The FEA approach that can simulate multi- states of matter is adopted to balance the global search ability and local search ability in the novel optimization algorithm. A theoretical analysis is made for algorithm parallelism. The conditions for convergence are deduced through analyzing the algorithm based on discrete-time linear system theory. In addition, the performance of the algorithm is compared with PSO for five states which include free state, diffusion state, solid state, entirely solid state, synthesis state. The simulation results of six benchmark functions show that the algorithm is effective. The algorithm supplies a new method to solve optimization problem.

Sign in / Sign up

Export Citation Format

Share Document