Global Sensitivity Analysis of Parameters in the ENSO model Based on Sobol' Method

Cao, Xiaoqun; Su, ShiPeng; Leng, Hongze; Liu, Bainian

doi:10.2112/si99-047.1

Cited by 2 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This paper applies the Sobol method to conduct a detailed global sensitivity analysis (GSA), aiming to quantify the individual effects of each factor and their interactions with other factors on the variation in the mold surface temperature during the autoclave processing. In this method, the variance-based sensitivity indices provide a scalar measure of relative influence based on conditional variance, which is widely recommended by researchers [ 16 , 17 , 18 , 19 , 20 ] for effectively characterizing single- and multi-parameter interactive sensitivities in non-linear and non-additive models, and the relatively straight forward interpretation of the sensitivity indices. There are five factors considered in this analysis including CHTC, TCL, TMF, MMT, and TAL used in the autoclave processing.…”

Section: Introductionmentioning

confidence: 99%

“…Polymers 2024, 16, 705 2 of 18 To improve the uniformity of temperature in the mold, research studies have been performed on adjusting the geometric features of the mold, such as the facesheet thickness and substructure construction, and the mold material selection. For example, Zhao et al [5] proposed a method to modify the facesheet thickness, i.e., increasing it in overheated regions and decreasing it in underheated regions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Global Sensitivity Analysis of Factors Influencing the Surface Temperature of Mold during Autoclave Processing

He,

Zhan,

Yang

et al. 2024

Polymers

View full text Add to dashboard Cite

During the process of forming carbon fiber reinforced plastics (CFRP) in an autoclave, deeply understanding the global sensitivity of factors influencing mold surface temperature is of paramount importance for optimizing large frame-type mold thermally and enhancing curing quality. In this study, the convective heat transfer coefficient (CHTC), the thickness of composite laminates (TCL), the thickness of mold facesheet (TMF), the mold material type (MMT), and the thickness of the auxiliary materials layer (TAL) have been quantitatively assessed for the effects on the mold surface temperature. This assessment was conducted by building the thermal–chemical curing model of composite laminates and utilizing the Sobol global sensitivity analysis (GSA) method. Additionally, the interactions among these factors were investigated to gain a comprehensive understanding of their combined effects. The results show that the sensitivity order of these factors is as follows: CHTC > MMT > TMF > TCL > TAL. Moreover, CHTC, MMT, and TMF are the main factors influencing mold surface temperature, as the sum of their first-order sensitivity indices accounts for over 97.3%. The influence of a single factor is more significant than that of the interaction between factors since the sum of the first-order sensitivity indices of the factors is more than 78.1%. This study will support the development of science-based guidelines for the thermal design of molds and associated heating equipment design.

show abstract