Towards a digital twin for mitigating void formation during debulking of autoclave composite parts

Seon, Guillaume; Nikishkov, Yuri; Makeev, Andrew; Ferguson, Lauren

doi:10.1016/j.engfracmech.2019.106792

Cited by 22 publications

(14 citation statements)

References 26 publications

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“…In this called 'digital process twin', PBM has obvious advantages compared to data-driven models (DDMs). A process twin is generally containing three kinds of models, machine behaviour model, material model and process simulation model [38], [41], [44], [84]- [86]. The process simulation model is used to simulate the process that the operator can monitor and control.…”

Section: ) Physics-based Modelmentioning

confidence: 99%

Digital Twin in Aerospace Industry: A Gentle Introduction

Aslam

Wileman

et al. 2022

IEEE Access

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Digital twin (DT), primarily a virtual replica of any conceivable physical entity, is a highly transformative technology with profound implications. Whether it be a product development, design optimisation, performance improvement, or predictive maintenance, digital twins are changing the ways work is undertaken in various industries with multifarious business applications. Aerospace industry, including its manufacturing base, is one such keen adopter of digital twins with an unprecedented interest in their bespoke design, development, and implementation across wider operations and critical functions. This, however, comes with some misconceptions about the digital twin technology and lack of understanding with respect to its optimal implementation. For instance, equating digital twin to an intelligent model while ignoring the essential components of data acquisition and visualisation, misleads the creators into building digital shadow or digital models, instead of the actual digital twin. This paper unfolds such intricacies of digital twin technology for the aerospace community in particular and others in general so as to remove the fallacies that affect their effective realisation for safety-critical systems. It comprises a comprehensive survey of digital twins and their constituent elements. Elaborating their characteristic stateof-the-art composition along with corresponding limitations, three dimensions of the future digital twins for aerospace sector, termed as aero-Digital Twins (aero-DTs), are proposed as an outcome of this survey. These include the interactive, standardisation, and cognitive dimensions of digital twins, which if leveraged diligently could help the aero-DT research and development community quadruple the efficiency of existing and future aerospace systems as well as their associated processes.

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Section: ) Physics-based Modelmentioning

confidence: 99%

Digital Twin in Aerospace Industry: A Gentle Introduction

Aslam

Wileman

et al. 2022

IEEE Access

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“…Recently, the authors of this work have introduced 3,17 an approach for modeling debulking in resin saturated prepregs where cohesive elements enriched with pore-pressure degree of freedom are inserted at ply interfaces using simulation concepts originally developed for the analysis of hydraulic fracturing in geomechanics problems. 18,19 In this approach, the pore-pressure cohesive layer is used to represent the initial entrapped bulk content and its evolution during debulking.…”

Section: Introductionmentioning

confidence: 99%

A numerical method based on pore‐pressure cohesive zone modeling for simulation of debulking in resin‐saturated composite prepregs

Seon

Nikishkov

Makeev

2022

Numerical Meth Engineering

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Aircraft composite parts are commonly manufactured from resin‐saturated thermoset pre‐impregnated plies laid‐up over a rigid tool and consolidated and cured in an autoclave. In many applications, autoclave consolidation alone is not sufficient to remove the air, or bulk, that has been entrapped within the laminate during layup. Entrapped bulk can lead to the formation of defects, including wrinkles and voids, which can significantly affect structural performance. Vacuum consolidation, or “debulking,” has been a standard practice extensively used by aircraft manufacturers to reduce the amount of bulk and mitigate defect formation. Yet, the underlying physical principles governing formation of defects during these early stages are not well understood. This work presents the development of a new finite element‐based method for simulation of debulking with the objective to contribute to a better understanding of the key physics involved. The model includes pore‐pressure cohesive elements inserted at ply interfaces for discrete representation of entrapped air pockets and modeling air flow during debulking; and cohesive contact between the plies for simulating the typical tacky behavior of uncured thermoset tape prepregs. The debulking of a two‐ply laminate with an initial seeded wrinkle is considered for illustration of the approach and comparison with experimental results.

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“…Krishnan et al [20] used the DT concept for the detection of electric drive faults, which improved the performance analysis accuracy of electric vehicles during usage. Seon et al [21] conducted a study to accurately analyze the structural integrity and remaining service life of aircraft. Based on the study of highfidelity nondestructive inspection techniques, a DT of the structure was created to optimize the monitoring mechanism, which provided a reference for the performance analysis of complex structures.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Discrimination Method Based on Digital Twins for Analyzing Sensitivity of Mechanical Parameters of Prestressed Cables

et al. 2021

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The information collected on large-span prestressed cables by field sensors is susceptible to interference, which leads to inaccurate collection of structural and mechanical parameters of large-span prestressed cables, resulting in misjudgment of structural safety performance. This paper proposes an intelligent judgment method for improving the sensitivity of analyzing mechanical parameters of prestressed cables based on digital twins (DTs). The safety performance of the structure was evaluated by analyzing the mechanical parameters. First, the information during prestressed cable tensioning is dynamically sensed, thereby establishing a multidimensional model of structural analysis. The virtual model is processed by the model modification rule to improve the robustness of the simulation; thus, a DT framework for the sensitivity judgment of the mechanical parameters of the cable is built. In the twin model, the simulation data of the real structure were extracted. Probabilistic analysis was performed using the Dempster–Shafer(D–S) evidence theory to discriminate the sensitivity of mechanical parameters of each cable node under the action of external forces with high accuracy and intelligence. Sensitivity analysis provides a reliable basis for the safety performance assessment of structures. Taking the wheel–spoke-type cable truss as an example, the application of DTs and D–S evidence theory to the sensitivity determination of cable mechanical parameters under temperature fully verified that the proposed intelligent method can effectively evaluate the safety performance of the actual structure.

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Towards a digital twin for mitigating void formation during debulking of autoclave composite parts

Cited by 22 publications

References 26 publications

Digital Twin in Aerospace Industry: A Gentle Introduction

Digital Twin in Aerospace Industry: A Gentle Introduction

A numerical method based on pore‐pressure cohesive zone modeling for simulation of debulking in resin‐saturated composite prepregs

Intelligent Discrimination Method Based on Digital Twins for Analyzing Sensitivity of Mechanical Parameters of Prestressed Cables

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