The Optimization of the Fillet Size of Autoclave Tooth Based on the Experiment and Numerical Simulation

Focusing on the phenomenon of the crack on the autoclave flange, a three-dimensional model of the autoclave was established based on the Ansys Workbench platform. A new finite element analysis flow for optimizing the design of autoclave teeth was established using the Fluent, Static Structure, and D...

Full description

Saved in:
Bibliographic Details
Published in:Advances in materials science and engineering 2023, Vol.2023, p.1-18
Main Authors: Ouyang, Xiaoping, Ye, Zhijian, Lin, Pengcheng, Li, Yanping
Format: Article
Language:English
Subjects:
Autoclaves
Control algorithms
Cracks
Design optimization
Energy consumption
Equivalence
Fatigue life
Fillets
Finite element analysis
Finite element method
Heat transfer
Linear programming
Mathematical analysis
Mathematical models
Numerical analysis
Optimization algorithms
Research methodology
Simulation
Stress concentration
Teeth
Three dimensional models
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Focusing on the phenomenon of the crack on the autoclave flange, a three-dimensional model of the autoclave was established based on the Ansys Workbench platform. A new finite element analysis flow for optimizing the design of autoclave teeth was established using the Fluent, Static Structure, and Direct Optimization modules. The paper analyzed and discussed the maximum stress and minimum fatigue life at the corresponding position. The variation trend of stress and fatigue life at the corresponding position after fillet optimization was also discussed. The results showed that the equivalent stress of autoclave teeth without fillet optimization reached the maximum under different fillet sizes. The equivalent stress and fatigue life of the autoclave tooth were the same as the rounded corner size obtained by the optimization design. The optimal global solution could be obtained through the optimization design process.
ISSN:1687-8434
1687-8442
DOI:10.1155/2023/8051118