A strategy to control microstructures of a Ni-based superalloy during hot forging based on particle swarm optimization algorithm

In this study, a strategy based on the particle swarm optimization (PSO) algorithm is developed to control the microstructures of a Ni-based superalloy during hot forging. This strategy is composed of three parts, namely, material models, optimality criterions, and a PSO algorithm. The material mode...

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Bibliographic Details
Published inAdvances in manufacturing Vol. 7; no. 2; pp. 238 - 247
Main Authors Chen, Dong-Dong, Lin, Yong-Cheng, Chen, Xiao-Min
Format Journal Article
LanguageEnglish
Published Shanghai Shanghai University 06.06.2019
Springer Nature B.V
Subjects
Algorithms
Control
Deformation
Engineering
Grain size
Hot forging
Machines
Manufacturing
Mathematical models
Mechatronics
Microstructure
Nanotechnology and Microengineering
Nickel base alloys
Optimality criteria
Particle swarm optimization
Process parameters
Processes
Random errors
Recrystallization
Robotics
Strain rate
Strategy
Superalloys
Superalloy
Particle swarm optimization (PSO) algorithm
Microstructure
Processing parameters
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Summary:In this study, a strategy based on the particle swarm optimization (PSO) algorithm is developed to control the microstructures of a Ni-based superalloy during hot forging. This strategy is composed of three parts, namely, material models, optimality criterions, and a PSO algorithm. The material models are utilized to predict microstructure information, such as recrystallization volume fraction and average grain size. The optimality criterion can be determined by the designed target microstructures and random errors. The developed strategy is resolved using the PSO algorithm, which is an intelligent optimal algorithm. This algorithm does not need a derivable objective function, which renders it suitable for dealing with the complex hot forging process of alloy components. The optimal processing parameters (deformation temperature and strain rate) are obtained by the developed strategy and validated by the hot forging experiments. Uniform and fine target microstructures can be obtained using the optimized processing parameters, which indicates that the developed strategy is effective for controlling the microstructural evolution during the hot forging of the studied superalloy.
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ISSN:2095-3127
2195-3597
DOI:10.1007/s40436-019-00259-0