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

Author:

He Jiayang12,Zhan Lihua13ORCID,Yang Youliang1,Xu Yongqian3

Affiliation:

1. Light Alloys Research Institute, Central South University, Changsha 410083, China

2. Department of Energy and Electrical Engineering, Hunan University of Humanities, Science and Technology, Loudi 417000, China

3. College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China

Abstract

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.

Funder

Joint Funds of the National Natural Science Foundation of China

National Natural Science Foundation of China

Science and Technology Innovation Program of Hunan Province

Publisher

MDPI AG

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