Innovative Data Management in advanced characterization: Implications for materials design

Romanos, Nick; Kalogerini, Maritini; Koumoulos, Elias P.; Morozinis, Athanasios K.; Sebastiani, Marco; Charitidis, Constantinos A.

doi:10.1016/j.mtcomm.2019.100541

Cited by 22 publications

(22 citation statements)

References 24 publications

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“…We base these prospects on, for instance, the discernible progress in establishing a standard data structure for materials characterization (i.e. CHAracterization DAta (CHADA) [18]) and materials modelling (i.e. MOdellingDAta (MODA) [19]) with a range of potentially very different approaches and methods.…”

Section: Harmonized Presentation Of Endt Data and Metadatamentioning

confidence: 99%

“…1 due to its more comprehensive and standardization-oriented setting. Moreover, embracing the physics of material interactions, as described by Romanos et al [18] for impacting probes (here: ultraviolet light) and detected probes (here: photoelectrons), may be perceived as an expression of a physics-based consideration of the material properties and the characterization process itself. We may consider a physics-based approach Fig.…”

Section: Harmonized Presentation Of Endt Data and Metadatamentioning

confidence: 99%

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Integrating Extended Non-destructive Testing in the Life Cycle Management of Bonded Products—Some Perspectives

Cavalcanti

Moutsompegka

Τσερπές

et al. 2021

Adhesive Bonding of Aircraft Composite Structures

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In this chapter, we outline some perspectives on embracing the datasets gathered using Extended Non-destructive Testing (ENDT) during manufacturing or repair process steps within the life cycle of bonded products. Ensuring that the ENDT data and metadata are FAIR, i.e. findable, accessible, interoperable and re-usable, will support the relevant stakeholders in exploiting the contained material-related information far beyond a stop/go decision, while a shorter time-to-information will facilitate a prompter time-to-decision in process and product management. Exploiting the value of ENDT (meta)data will contribute to increased performance by integrating all defined, measured, analyzed and controlled aspects of material transformation across process and company boundaries. This will facilitate the optimization of manufacturing and repair operations, boosting their energy efficiency and productivity. In this regard, some aspects that are currently driving activities in the field of pre-process, in-process and post-process quality assessment will be addressed in the following. Furthermore, some requirements will be contemplated for harmonized and conjoint data transfer ranging from a bonded product’s beginning-of-life through its end-of-life, the customization of stand-alone or linked ENDT tools, and the implementation of sensor arrays and networks in joints, devices and structural parts to gather material-related data during a product’s middle-of-life application phase, thereby fostering structural health monitoring (SHM).

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Section: Harmonized Presentation Of Endt Data and Metadatamentioning

confidence: 99%

Section: Harmonized Presentation Of Endt Data and Metadatamentioning

confidence: 99%

Integrating Extended Non-destructive Testing in the Life Cycle Management of Bonded Products—Some Perspectives

Cavalcanti

Moutsompegka

Τσερπές

et al. 2021

Adhesive Bonding of Aircraft Composite Structures

View full text Add to dashboard Cite

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“…Moreover, experimental techniques must currently consider more and more material uncertainties resulting from manufacturing process deviations. In this context, big data and virtual twin approaches are very promising [60,61]. This process should end in a unified European standardization of characterization techniques.…”

Section: Advanced Characterization Techniques Including Standardizatmentioning

confidence: 99%

Research and Development in Carbon Fibers and Advanced High-Performance Composites Supply Chain in Europe: A Roadmap for Challenges and the Industrial Uptake

et al. 2019

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Structural materials, typically based on metal, have been gradually substituted by high-performance composites based on carbon fibers, embedded in a polymer matrix, due to their potential to provide lighter, stronger, and more durable solutions. In the last decades, the composites industry has witnessed a sustained growth, especially due to diffusion of these materials in key markets, such as the construction, wind energy, aeronautics, and automobile sectors. Carbon fibers are, by far, the most widely used fiber in high-performance applications. This important technology has huge potential for the future and it is expected to have a significant impact in the manufacturing industry within Europe and, therefore, coordination and strategic roadmapping actions are required. To lead a further drive to develop the potential of composites into new sectors, it is important to establish strategic roadmapping actions, including the development of business and cost models, supply chains implementation, and development, suitability for high volume markets and addressing technology management. Europe already has a vibrant and competitive composites industry that is supported by several research centers, but for its positioning in a forefront position in this technology, further challenges are still required to be addressed.

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“…Except for the technology growth, synthesis of new materials and hybrid composite structures, the need to involve emerging evaluation methodologies is highlighted [1,7] to assist and accelerate developments [8,9]. Artificial Intelligence (AI) is a promising candidate to bridge the gap between Research and Development (R&D) and industry by establishing unbiased relations of microstructure to properties [4,[6][7][8][9][10][11]. This is majorly appreciated in case of Safe-by-Design requirements regarding mechanical performance [8,12], and real-time characterization [9].…”

Section: Introductionmentioning

confidence: 99%

“…crystals, which has enabled the development of ontology databases; the calculated properties of known systems and the predicted properties of hypothetical systems are included [10,14]. Similar efforts have been put in practice with experimental materials characterization (CHADA, Nanoindentation-documentation structure for characterisation data) [11].…”

Section: Introductionmentioning

confidence: 99%

Testing Novel Portland Cement Formulations with Carbon Nanotubes and Intrinsic Properties Revelation: Nanoindentation Analysis with Machine Learning on Microstructure Identification

2020

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Nanoindentation was utilized as a non-destructive technique to identify Portland Cement hydration phases. Artificial Intelligence (AI) and semi-supervised Machine Learning (ML) were used for knowledge gain on the effect of carbon nanotubes to nanomechanics in novel cement formulations. Data labelling is performed with unsupervised ML with k-means clustering. Supervised ML classification is used in order to predict the hydration products composition and 97.6% accuracy was achieved. Analysis included multiple nanoindentation raw data variables, and required less time to execute than conventional single component probability density analysis (PDA). Also, PDA was less informative than ML regarding information exchange and re-usability of input in design predictions. In principle, ML is the appropriate science for predictive modeling, such as cement phase identification and facilitates the acquisition of precise results. This study introduces unbiased structure-property relations with ML to monitor cement durability based on cement phases nanomechanics compared to PDA, which offers a solution based on local optima of a multidimensional space solution. Evaluation of nanomaterials inclusion in composite reinforcement using semi-supervised ML was proved feasible. This methodology is expected to contribute to design informatics due to the high prediction metrics, which holds promise for the transfer learning potential of these models for studying other novel cement formulations.

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Innovative Data Management in advanced characterization: Implications for materials design

Cited by 22 publications

References 24 publications

Integrating Extended Non-destructive Testing in the Life Cycle Management of Bonded Products—Some Perspectives

Integrating Extended Non-destructive Testing in the Life Cycle Management of Bonded Products—Some Perspectives

Research and Development in Carbon Fibers and Advanced High-Performance Composites Supply Chain in Europe: A Roadmap for Challenges and the Industrial Uptake

Testing Novel Portland Cement Formulations with Carbon Nanotubes and Intrinsic Properties Revelation: Nanoindentation Analysis with Machine Learning on Microstructure Identification

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