Analysis of curve parameters to characterize multidirectional fabric wrinkling by a double extraction method

2018 ◽  
Vol 89 (15) ◽  
pp. 2973-2982 ◽  
Author(s):  
Fengxin Sun ◽  
Mingrui Guo ◽  
Xiaorui Hu ◽  
Lei Wang ◽  
Weidong Gao
Keyword(s):  
Extraction Method ◽  
Clustering Algorithm ◽  
Mechanical Performance ◽  
Cluster Method ◽  
Good Shape ◽  
Starting Point ◽  
Double Extraction ◽  
Shape Retention ◽  
Residual Force ◽  
Force Displacement

Fabrics with good shape-retention properties are strongly expected to improve the aesthetic feeling, comfort and easy-care performance of clothing in daily life, and the efficient characterization of the wrinkle recovery property of fabrics is a necessary approach to facilitate the development of garments with good shape retention. Here, a double extraction method was presented to evaluate fabric wrinkling based on the wrinkling-induced residual force–displacement curves. The correlation analysis was used to determine applicable evaluation indices in order to cluster the wrinkle recovery property of fabrics based on a K-means clustering algorithm. Moreover, subjective judgements were conducted and compared with the objective K-means cluster method. The results show that there is good consistency between objective K-means clustering and subjective judgements, indicating that the indices featured from wrinkling-induced residual force–displacement curves can be used to evaluate the wrinkle recovery of fabrics. Therefore, the double extraction method is a starting point for the rapid identification of wrinkle recovery of fabrics by the mechanical performance of textiles.

scholarly journals Analysis of new nosological models from disease similarities using clustering

2020 ◽  
Author(s):  
Lucía Prieto Santamaría ◽  
Eduardo P. García del Valle ◽  
Gerardo Lagunes García ◽  
Massimiliano Zanin ◽  
Alejandro Rodríguez González ◽  
...  
Keyword(s):  
Clustering Algorithm ◽  
Molecular Data ◽  
Modern Medicine ◽  
Biological Information ◽  
Distributed Data ◽  
Feature Vectors ◽  
Dbscan Clustering ◽  
Disease Similarity ◽  
Starting Point ◽  
Evaluation Metric

AbstractWhile classical disease nosology is based on phenotypical characteristics, the increasing availability of biological and molecular data is providing new understanding of diseases and their underlying relationships, that could lead to a more comprehensive paradigm for modern medicine. In the present work, similarities between diseases are used to study the generation of new possible disease nosologic models that include both phenotypical and biological information. To this aim, disease similarity is measured in terms of disease feature vectors, that stood for genes, proteins, metabolic pathways and PPIs in the case of biological similarity, and for symptoms in the case of phenotypical similarity. An improvement in similarity computation is proposed, considering weighted instead of Booleans feature vectors. Unsupervised learning methods were applied to these data, specifically, density-based DBSCAN clustering algorithm. As evaluation metric silhouette coefficient was chosen, even though the number of clusters and the number of outliers were also considered. As a results validation, a comparison with randomly distributed data was performed. Results suggest that weighted biological similarities based on proteins, and computed according to cosine index, may provide a good starting point to rearrange disease taxonomy and nosology.

Characterization of plantar press-comfort performance of warp-knitted spacer fabrics

2016 ◽  
Vol 88 (4) ◽  
pp. 357-366 ◽  
Author(s):  
Ming Li ◽  
Yuanxin Wu ◽  
Chaoyu Chen ◽  
Zhaoqun Du
Keyword(s):  
Cluster Method ◽  
Structure Parameters ◽  
Objective Method ◽  
Compression Force ◽  
Work Recovery ◽  
Spacer Fabric ◽  
Spacer Fabrics ◽  
Force Displacement ◽  
Objective Cluster

The main content dealt with in this paper was to present an objective method to evaluate the plantar press-comfort performance of warp-knitted spacer fabrics. It aimed to explain the plantar press-comfort performance of spacer fabric by the compression property and structure parameters of spacer fabric. The compression indexes (compression work, recovery work, hysteresis work and maximum compression force) and structure parameters (diameter and thickness) were utilized to classify the plantar press-comfort performance of warp-knitted spacer fabrics by regression analysis and the K-means cluster method. In order to verify the validity, subjective judgments were also made and compared with the objective K-means cluster method. The experimental results showed that a good correlation existed between the subjective judgment method and objective cluster method. This demonstrates that the compression indexes featured, from spherical compression force–displacement curves and structure parameters, can be utilized to characterize the plantar press-comfort performance of warp-knitted spacer fabrics and is effective in obtaining the fabric evaluation score of plantar press-comfort performance.

Paper reinforced with regenerated cellulose: a sustainable and fascinating material with good mechanical performance, barrier properties and shape retention in water

2016 ◽  
Vol 4 (44) ◽  
pp. 17483-17490 ◽  
Author(s):  
Weihua Zhang ◽  
Zhijiao Jing ◽  
Youna Shan ◽  
Xuesong Ge ◽  
Xindong Mu ◽  
...  
Keyword(s):  
Mechanical Performance ◽  
Barrier Properties ◽  
Regenerated Cellulose ◽  
Wet Strength ◽  
Shape Retention ◽  
Composite Paper

Here, we fabricated new cellulosic composites with excellent mechanical performance, especially the wet strength. Interestingly, the as-synthesized composite paper showed water-responsive shape retention.

scholarly journals Method of Optimisation for Ambient Temperature Cured Sustainable Geopolymers for 3D Printing Construction Applications

Materials ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 902 ◽  
Author(s):  
Shin Bong ◽  
Behzad Nematollahi ◽  
Ali Nazari ◽  
Ming Xia ◽  
Jay Sanjayan
Keyword(s):  
Mechanical Properties ◽  
3D Printing ◽  
Ambient Temperature ◽  
Shear Failure ◽  
Mechanical Performance ◽  
Silicate Solution ◽  
Ambient Temperatures ◽  
Tension Tests ◽  
Shape Retention ◽  
Interlayer Bond

Since the initial introduction of geopolymers, these materials have been characterised as environmentally-friendly sustainable substitutes for ordinary Portland cement (OPC). There is a routine increase in the application of geopolymers, especially in advanced technologies. Because of its better rheological characteristics compared to OPC, geopolymers are appropriate materials for extrusion-based 3D printing technologies. This paper focuses on the optimisation of an ambient temperature cured geopolymer for 3D printing construction applications. The effects of mixture parameters, including the type of hydroxide solution (HS), the type of silicate solution (SS) and the mass ratio of SS to HS on the workability, extrudability, shape retention ability and mechanical performance of different geopolymer mixtures were investigated. Accordingly, an optimum mixture was identified for geopolymers cured at ambient temperatures. Mechanical properties of the optimised mixture, including flexural and compressive strengths, were measured in different directions with respect to the printed layers. Further, uniaxial tension tests were also conducted on the optimised mixture to measure its interlayer bond strength. The results showed that among the activators investigated, the sodium-based activator composed of sodium hydroxide and sodium silicate solutions, with a SiO2/Na2O ratio of 3.22, was the most effective activator, providing appropriate workability and extrudability, along with reasonable strength and a high shape retention ability. The acquired mechanical properties exhibited anisotropic behaviour in different testing direction. The strength of the interlayer bond was found to be adequate to avoid interfacial shear failure.

scholarly journals Shape Memory Epoxy Polymer (SMEP) Composite Mechanical Properties Enhanced by Introducing Graphene Oxide (GO) into the Matrix

Materials ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1107 ◽  
Author(s):  
Zhengwei Yu ◽  
Zhenqing Wang ◽  
Hao Li ◽  
Jianxin Teng ◽  
Lidan Xu
Keyword(s):  
Graphene Oxide ◽  
Shape Memory ◽  
Polymer Composites ◽  
Epoxy Polymer ◽  
Mechanical Performance ◽  
Memory Performance ◽  
Mechanical Analysis ◽  
Tensile Fracture ◽  
Good Shape ◽  
The Matrix

Shape memory epoxy polymer (SMEP) composite specimens with different graphene oxide (GO) contents were manufactured to study the effects of GO mass fractions on epoxy polymer composites. While ensuring the shape memory effect of SMEP, the addition of GO also remarkably strengthened the mechanical performance of the polymers. Analyses of the epoxy polymer composites’ thermal, mechanical, and shape memory performance were conducted through carrying out dynamic mechanical analysis (DMA), thermogravimetric analysis (TGA), and static tensile, three-point bending, impact, and shape memory tests. Moreover, the tensile fracture, bending fracture, and impact fracture interfaces of epoxy resin composites were examined with scanning electron microscopy. The final test results indicated that when the GO content was 0.8 wt %, SMEP composites had good shape memory performance and optimum thermal and mechanical performance.

Experimental test for mechanical properties of new tenon composite wall using thermal self-insulation block

2020 ◽  
Vol 24 (1) ◽  
pp. 79-89
Author(s):  
Dongyue Wu ◽  
Hui Su ◽  
Shilin Wang ◽  
Wei Chen
Keyword(s):  
Cyclic Loading ◽  
Seismic Performance ◽  
Thermal Insulation ◽  
Failure Modes ◽  
Mechanical Performance ◽  
Mechanical Parameters ◽  
Loading Test ◽  
Cyclic Loading Test ◽  
Low Cyclic Loading ◽  
Force Displacement

Concrete hollow blocks have the advantages of simplified construction, reduced construction time, and better thermal performance, and can thereby achieve energy conservation in building engineering and significantly improved thermal and mechanical performance. A new tenon composite block is presented to achieve better self-thermal insulation and mechanical performance by integrating thermal materials into blocks. The tenon composite block application requires satisfying mechanical and seismic performance. Therefore, to prove the mechanical and seismic performance of the tenon composite block, a low cyclic loading test was performed on two self-thermal insulation wall specimens: the tenon composite block and the “Martha” block (used as the comparison specimen). The crack distributions, failure modes, force–displacement data expressed using hysteresis and skeleton curves, mechanical parameters of strengths, displacements, ductility coefficients, stiffness degradations, and equivalent viscous damping coefficients of the two specimens were analyzed in the low cyclic loading test. By analyzing the specimen crack distributions and failure modes, the tenon composite block was proven capable of effectively connecting the heat insulation and loading bearing parts. The differences in the force–displacement data and the mechanical parameters between the tenon composite block and “Martha” block specimens, such as the higher strength and stiffness of the tenon composite block specimen and similar ductility performance with the widely applied “Martha” specimen, were mainly caused by the size differences between the tenon composite block and “Martha” specimens. Finally, suggestions for tenon composite block applications are proposed to overcome the limitations of the tenon composite block’s ability to consume seismic energy.

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