Many-to-Many Regression Analysis of Loading Characteristic in Dieless Tube Hydroforming

Zhong Ke Tian; Fa He Yang; Chao Yin

doi:10.4028/www.scientific.net/AMM.541-542.534

Paper Titles

The Body Structural Optimization Based on Safe Side Impact
p.514

Simulation Analysis and Optimization Design of Double-Wishbone Independent Suspension
p.519

Research and Development of Steel Casting CAD/CAE Integration Technology Based on the Neutral STEP File
p.524

The Research of Remanufacturing Technology Applied to Lifting Machinery
p.530

Many-to-Many Regression Analysis of Loading Characteristic in Dieless Tube Hydroforming
p.534

The Method of Transforming Ordinary Machine Tools to Ultrasonic Vibration Deep Hole Drilling Machine Tools
p.538

Fault Diagnosis Method of Mini Excavator Slewing Bearing
p.544

The Oil Spill Analysis and Structure Improvement of Marine Sliding Bearing
p.549

Optimization Design of Rectangular Cross-Sectional Wire Race Ball Bearing
p.553

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 541-542Many-to-Many Regression Analysis of Loading...

Many-to-Many Regression Analysis of Loading Characteristic in Dieless Tube Hydroforming

Abstract:

Based on uniform design, finite element simulation of dieless tube hydroforming and double-screening stepwise regression method, a many-to-many polynomial regression equation set was established, whose independent variables are time t₁ at which axial compression displacement from 0 reaches 25mm and time t₂ at which internal pressure from 0 achieves 65MPa in 60 seconds, while dependent variables are hoop plastic strain s₁₁ and radial plastic strain s₂₂ in the midmost position of hydroformed tube. Analysis of partial correlation coefficient indicates that the effect of t₂ on s₁₁ is a little stronger than t₁ and there is no interaction between t₁ and t₂ on s₁₁, while s₂₂ is influenced by t₂² and t₁t₂². The many-to-many regression model not only quantificationally describes the action of loading factors on plastic strains but also reflects the inherent relevance between plastic strains, which is more useful than several one-to-many regression models to solve problems such as loading characteristic analysis, loading parameters design and optimization, etc.

You might also be interested in these eBooks

Engineering and Manufacturing Technologies

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 541-542)

Pages:

534-537

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.541-542.534

Citation:

Cite this paper

Online since:

March 2014

Authors:

Zhong Ke Tian*, Fa He Yang, Chao Yin

Keywords:

Finite Element (FE) Simulation, Loading Characteristic, Many-to-Many Regression Analysis, Tube Hydroforming, Uniform Design

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] K. T. Fang and C. X. Ma, Uniform Designs, Science Press, Beijing, (2001).

Google Scholar

[2] J. X. Qiu, S. H. Zhang, G. L. Li, Z. G Li and J. L. Zhang, Application of combining uniform design, neural network and genetic algorithm to optimize process parameters of internal high pressure forming, Journal of Plasticity Engineering, 2005, 12(4): 76-79.

Google Scholar

[3] H. X. Gao, Applied Multivariable Statistical Analysis, Peking University Press, Beijing, (2005).

Google Scholar

[4] Y. T. Zhang and K. T Fang, An Introduction to Multivariate Statistical Analysis, Science Press, Beijing, (2003).

Google Scholar