Uncertainty propagation analysis;
Resin transfer molding (RTM) process;
Multi-scale simulation;
Multi-response Gaussian process (MRGP);
Global sensitivity analysis;
Importance ranking;
RESIDUAL-STRESS;
QUANTIFICATION;
MODEL;
PREDICTION;
FRAMEWORK;
D O I:
10.1016/j.commatsci.2022.111257
中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
Variations of constituent fiber and matrix properties and process conditions can cause significant variability in composite parts and affect their performance. The focus of this paper is to establish a new computational framework that can efficiently quantify the uncertainty propagation of parts manufactured through the resin transfer molding (RTM) process. RTM involves a sequence of inter-related processes that span multiple spatial and temporal scales. This calls for a multi-scale analysis for the nominal process, which is computationally complex and intensive. A direct Monte Carlo simulation of uncertainty quantification leads to prohibitive cost. In this research we leverage a sequentially architected multi-response Gaussian process (MRGP) meta-modelling approach to facilitate a hierarchical procedure. This can dramatically reduce the computational cost, and allow us to characterize the process outputs of interest at different scales and at the same time capture the intrinsic correlation amongst these outputs. Moreover, integrating a global sensitivity analysis with the hierar-chical MRGP meta-models yields the importance ranking of uncertainty propagation paths. This computational framework provides a quantitative assessment tool of the uncertainties in composite manufacturing. Case study on curing-induced dimensional variability of a curved composite part is conducted for demonstration and validation.
机构:
UCSI Univ, Fac Engn Technol & Built Environm, Kuala Lumpur 56000, MalaysiaUCSI Univ, Fac Engn Technol & Built Environm, Kuala Lumpur 56000, Malaysia
Ang, Koon Meng
Natarajan, Elango
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UCSI Univ, Fac Engn Technol & Built Environm, Kuala Lumpur 56000, MalaysiaUCSI Univ, Fac Engn Technol & Built Environm, Kuala Lumpur 56000, Malaysia
Natarajan, Elango
Sharma, Abhishek
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机构:
Ariel Univ, Dept Elect & Elect Engn, IL-40700 Ariel, Israel
Univ Petr & Energy Studies, Dept Elect & Elect Engn, Dehra Dun 248007, IndiaUCSI Univ, Fac Engn Technol & Built Environm, Kuala Lumpur 56000, Malaysia
Sharma, Abhishek
Rahman, Hameedur
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Air Univ, Fac Comp & Artificial Intelligence, Islamabad Capital Territo 44000, PakistanUCSI Univ, Fac Engn Technol & Built Environm, Kuala Lumpur 56000, Malaysia
Rahman, Hameedur
Then, Richie Yi Shiun
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UCSI Univ, Fac Engn Technol & Built Environm, Kuala Lumpur 56000, MalaysiaUCSI Univ, Fac Engn Technol & Built Environm, Kuala Lumpur 56000, Malaysia
Then, Richie Yi Shiun
Alrifaey, Moath
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UCSI Univ, Fac Engn Technol & Built Environm, Kuala Lumpur 56000, MalaysiaUCSI Univ, Fac Engn Technol & Built Environm, Kuala Lumpur 56000, Malaysia
Alrifaey, Moath
Tiang, Sew Sun
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UCSI Univ, Fac Engn Technol & Built Environm, Kuala Lumpur 56000, MalaysiaUCSI Univ, Fac Engn Technol & Built Environm, Kuala Lumpur 56000, Malaysia
Tiang, Sew Sun
Lim, Wei Hong
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UCSI Univ, Fac Engn Technol & Built Environm, Kuala Lumpur 56000, MalaysiaUCSI Univ, Fac Engn Technol & Built Environm, Kuala Lumpur 56000, Malaysia
Lim, Wei Hong
Isa, Nor Ashidi Mat
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Univ Sains Malaysia, Sch Elect & Elect Engn, Engn Campus, George Town 14300, MalaysiaUCSI Univ, Fac Engn Technol & Built Environm, Kuala Lumpur 56000, Malaysia