Numerical simulation and multiobjective optimization of fluid–structure interaction in aluminum extrusion

Pazeto, Danilo; Pereira, João Luiz Junho; Gomes, Guilherme Ferreira

doi:10.1007/s00170-022-10543-2

Cited by 3 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this critical technology field, scholars and industry experts have achieved significant success through in-depth theoretical research and rich practical experience. With the continuous advancement of computational technology, the application of finite element analysis (FEA) technology in extrusion process analysis and die design optimization has become increasingly widespread, promoting the development of related research and practice [1][2][3]. Professional finite element analysis software such as Deform-3D, HyperXtrude, and Qform Excitation not only improves the accuracy of die design but also significantly shortens the design cycle.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of a Multi-Cavity, Significant Wall Thickness Difference Extrusion Profile Mold Design for New Energy Vehicles

Xu,

Jiang,

et al. 2024

Materials

View full text Add to dashboard Cite

With the rapid development of the new energy vehicle market, the demand for extruded profiles for battery trays, mainly characterized by significant wall thickness differences in multiple chambers, is increasing, posing new challenges to production and quality control. This study examines the multi-objective optimization problem in the design process of aluminum profile dies with multi-cavity profiles and significant wall thickness differences. Using QFORM-extrusion professional aluminum extrusion finite element analysis software and the response surface analysis method, the standard deviation of the velocity (SDV), standard deviation of the pressure (SDP), and thick wall hydrostatic pressure (TWHP) on the profile section at the die exit are optimized. By analyzing the functional relationship between the key die structure parameters (the height of the baffle plates, the length of the bearing, and the height of the false mandrel) and the optimization objective, the optimal combination scheme of die structure parameters was obtained using the NSGA2 (non-dominated sorting genetic algorithm-2) multi-objective genetic optimization algorithm. The results show that, compared with the initial design scheme, the standard deviation of profile section velocity was reduced by 5.33%, the standard deviation of pressure was reduced by 11.16%, and the thick wall hydrostatic pressure was increased by 26.47%. The die designed and manufactured using this scheme successfully completed the hot extrusion production task, and the profile quality met the predetermined requirements, thus verifying the effectiveness of this study in optimizing the design of a multi-cavity aluminum profile die with significant differences in wall thickness for complex structures.

show abstract

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of a Multi-Cavity, Significant Wall Thickness Difference Extrusion Profile Mold Design for New Energy Vehicles

Xu,

Jiang,

et al. 2024

Materials

View full text Add to dashboard Cite

show abstract

Enhanced Lichtenberg algorithm: a discussion on improving meta-heuristics

et al. 2023

View full text Add to dashboard Cite

Recent Trends in Nitrogen Cooling Modelling of Extrusion Dies

Pelaccia,

Negozio,

Di Donato

et al. 2024

KEM

View full text Add to dashboard Cite

Nitrogen cooling has been identified as a powerful industrial solution for the hot extrusion process to remove heat in the die and in the profile. The complexity involved in the design of cooling channels depends on many factors, including the cooling path, its position with respect to the hottest zones as well as the nitrogen phase change that strongly affects the heat removal capacity. However, the industrial approach is still stuck in the empirical and based-experience practices that too often strongly limit the possibilities of obtaining a performing cooling solution. In this context, this work intends to summarize and discuss the advanced recent trends in the design of cooling channels for extrusion dies proposed by the authors based on the numerical approaches, with the final aim to propose possible solutions to fill the current gaps of the suboptimal industrial approaches.

show abstract

Numerical simulation and multiobjective optimization of fluid–structure interaction in aluminum extrusion

Cited by 3 publications

References 15 publications

Multi-Objective Optimization of a Multi-Cavity, Significant Wall Thickness Difference Extrusion Profile Mold Design for New Energy Vehicles

Multi-Objective Optimization of a Multi-Cavity, Significant Wall Thickness Difference Extrusion Profile Mold Design for New Energy Vehicles

Enhanced Lichtenberg algorithm: a discussion on improving meta-heuristics

Recent Trends in Nitrogen Cooling Modelling of Extrusion Dies

Contact Info

Product

Resources

About