Using textile topography to analyze X‐ray CT data of composite microstructure

Parnas, Richard S.; Wevers, Martine; Verpoest, Ignaas

doi:10.1002/pc.10022

Cited by 7 publications

(5 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This method is also routinely used to deliver detailed three-dimensional images of the objects of interest. Up to now, no studies of textiles in this manner have been reported, although Parnas et al [12] examined the yarn structure and architecture in fibre-reinforced composite materials using µCT. Here we apply µCT to the study of moisture transport in five multilayered textile combinations.…”

mentioning

confidence: 99%

X-Ray Tomography Measurements of the Moisture Distribution in Multilayered Clothing Systems

Weder

Brühwiler

Laib

2006

Textile Research Journal

View full text Add to dashboard Cite

The transport of moisture in textile layers plays an important role in the conveyance of thermal energy through those layers. During physical activity, a constant core temperature can in general only be maintained through the dissipation of thermal energy. As is well known, this can take place through radiation, conduction or convection, but for vigorous activity requires perspiration, namely evaporative cooling. If the perspired moisture evaporates directly on the skin, considerably more energy is extracted from the body than when it is transported in a liquid state to outer layers of the clothing, in which case evaporation merely cools the ambient air instead. In a cold climate, dry skin is important for comfort at rest, whereas during activity a more complicated behavior is desirable: Evaporation of moisture on or near the skin while it produces enough perspiration to maintain a wet clothing layer in contact with it, which is when the need for cooling is greatest, followed by rapid removal of the liquid perspiration from the immediate vicinity of the skin as the perspiration rate declines, to avoid overcooling (post-exercise chill). In a warm climate, on the other hand, all liquid perspiration should be evaporated as close to the skin as possible to maximize the cooling effect. To achieve these different moisture-management behaviors in textiles, multilayer configurations are often used, and it becomes important to characterize the distribution of moisture, especially in liquid form, in such multilayers as a function of time.The transport of moisture through multilayer textile combinations has frequently been studied by means of gravimetric analysis in earlier work [1,2,4,5,15]. A major disadvantage of such methods is that a part of the moisture escapes into the ambient air within a few seconds when the layers of clothing are separated for weighing. This is especially the case for materials such as polyester or polypropylene, that store very little moisture themselves and where the moisture can be localized in the capillaries of the intermediate spaces. A second problem is that following the time dependence of the moisture transport requires restarting the entire conditioning and wetting process of the sample for each measurement, which is time-consuming. The inplane distribution of moisture is another important aspect of the problem for which gravimetric analysis is inadequate. 1One method which has largely met these challenges is neutron radiography, which has been shown to be able to give a two-dimensional profile of the moisture distribution of each layer in a multilayer configuration at distinct time intervals [16]. There it was possible to observe the gross temporal progress of the moisture transport, without having to manipulate the clothing systems. While there were Abstract X-ray-tomography was used to investigate the moisture distribution of multilayered textiles under praxis conditions. It was possible to follow the dynamics of the moisture transport without disturbing an ensemble during measuremen...

show abstract

mentioning

confidence: 99%

X-Ray Tomography Measurements of the Moisture Distribution in Multilayered Clothing Systems

Weder

Brühwiler

Laib

2006

Textile Research Journal

View full text Add to dashboard Cite

show abstract

“…It not only focuses on the direct relationship between process parameters and properties, but also provides insight into how these properties are realized through the variation of microstructure. Specifically, it involves the integration of automated protocols for multimodal data, such as microstructural data obtained by electron microscopy 74 or micro‐CT scanning, 75 material property data obtained by experiments and simulations, as well as machine learning datasets. The intrinsic factors affecting the performance of AM‐CFRPCs from process will be further explored in the future.…”

Section: Resultsmentioning

confidence: 99%

A materials informatics framework based on reduced‐order models for extracting structure–property linkages of additively manufactured continuous fiber‐reinforced polymer composites

Zhang,

Shi,

et al. 2024

Polymer Composites

View full text Add to dashboard Cite

The innovative combination of additive manufacturing (AM) and continuous fiber‐reinforced polymer composites (CFRPCs) confers products with the dual advantages of integrated manufacturing and designability of properties, but lack an efficient and reliable method for property prediction. This study presents a materials informatics framework using reduced‐order models and machine learning (ML) to extract the structure–property (SP) linkages between microstructures and macroscopic elastic properties of AM‐CFRPCs. The initial step involves generating microstructural 2D cross‐sections and representative volume elements (RVEs) with random fiber and pore distributions based on the minimum potential method. Then, finite element (FE) calculations are performed on RVEs to obtain nine macroscopic elastic properties. Following that, the quantification and dimensionality reduction of the 2D cross‐sectional dataset are conducted separately using two‐point spatial correlations and principal component analysis (PCA). Finally, a Bayesian optimized composite kernel support vector regression (CK‐SVR) algorithm is used to effectively establish complex mapping relationships between the reduced‐order representations of the microstructures and the mechanical properties. Despite the reduced‐order dataset containing only 3–6 variables, the framework generates an interpretable model exhibiting excellent accuracy with all predicted R2 values surpassing 0.91. Therefore, this framework presents a prospective solution for expediting the design and optimization of AM‐CFRPCs.Highlights A materials informatics scheme is proposed to predict the 9 elastic properties of AM‐CFRPCs. Microstructures are quantified and dimensionally reduced by two‐point statistics and PCA. SP linkages are established between 2D cross‐sections and 3D macromechanical properties. Modified CK‐SVR exhibits higher prediction accuracy compared to conventional models.

show abstract

“…'X-Ray CT has of course been used for many years to image biological features for medical research' (Parnas et al 2005(Parnas et al : 1920. X-ray imaging fragile textiles requires much experimentation to achieve the desired settings, prior and post scanning process.…”

Section: Ct Scanmentioning

confidence: 99%

Reconstructing textile heritage

Calvert

Power

Ryall

et al. 2014

Journal of Writing in Creative Practice

View full text Add to dashboard Cite

This article recreates a deteriorating archive, bringing life, opportunity and growth to a collection that is in reality dying. It explores a collection owned by the National Trust at Claydon House in Buckinghamshire. Modern techniques of Infinate Focus Microscopy and Computerized Tomography scanning are used to render 3D digital images which are intended to capture the imagination of contemporary artists and designers resulting in an ever evolving archive for future generations. The research identifies that all textile materials have significance and even the smallest fragments may serve as an inspiration to the next generation of creative designers. Focusing on the preservation, restoration and visualization of small insignificant fragments of delicate cloth, the article captures and reinvents the materials, giving a new meaning for future generations.

show abstract

Using textile topography to analyze X‐ray CT data of composite microstructure

Cited by 7 publications

References 9 publications

X-Ray Tomography Measurements of the Moisture Distribution in Multilayered Clothing Systems

X-Ray Tomography Measurements of the Moisture Distribution in Multilayered Clothing Systems

A materials informatics framework based on reduced‐order models for extracting structure–property linkages of additively manufactured continuous fiber‐reinforced polymer composites

Reconstructing textile heritage

Contact Info

Product

Resources

About