Relationship Between the Thermodynamic Parameters, Structure, and Anticorrosion Properties of Al-Zr-Ni-Fe-Y Alloys

The influence of the chemical composition on the crystallization process, amorphous phase formation, and the anticorrosion properties of Al-Zr-Ni-Fe-Y alloys are presented. To reduce the number of experiments, a thermodynamic approach was applied in which the entropy and Gibbs free energy of representative alloys were optimized. The low glass-forming ability of Al-Zr-Ni-Fe-Y alloy systems was related to the crystallization of the Al3Zr phase from the melt. The structural analysis showed that phases containing Ni and Fe, such as Al19Ni5Y3, Al10Fe2Y, and Al23Ni6Y4, played a key role in the formation of amorphous alloys. According to this, the simultaneous addition of Ni/Fe and Y is important to prevent the crystallization of Al-based alloys in the melt. The formation of an amorphous phase in Al80Zr5Ni5Fe5Y5 alloys and the complete amorphization of Al85Ni5Fe5Y5 alloys were responsible for the high corrosion resistance compared with fully crystalline alloys. Moreover, the addition of Y had a significant impact on the anticorrosion properties. The XPS results showed that the alloys tended to form a passive Al2O3 and Y2O3 layer on the surface

A statistical framework to evaluate virtual screening

<p>Abstract</p> <p>Background</p> <p>Receiver operating characteristic (ROC) curve is widely used to evaluate virtual screening (VS) studies. However, the method fails to address the "early recognition" problem specific to VS. Although many other metrics, such as RIE, BEDROC, and pROC that emphasize "early recognition" have been proposed, there are no rigorous statistical guidelines for determining the thresholds and performing significance tests. Also no comparisons have been made between these metrics under a statistical framework to better understand their performances.</p> <p>Results</p> <p>We have proposed a statistical framework to evaluate VS studies by which the threshold to determine whether a ranking method is better than random ranking can be derived by bootstrap simulations and 2 ranking methods can be compared by permutation test. We found that different metrics emphasize "early recognition" differently. BEDROC and RIE are 2 statistically equivalent metrics. Our newly proposed metric SLR is superior to pROC. Through extensive simulations, we observed a "seesaw effect" – overemphasizing early recognition reduces the statistical power of a metric to detect true early recognitions.</p> <p>Conclusion</p> <p>The statistical framework developed and tested by us is applicable to any other metric as well, even if their exact distribution is unknown. Under this framework, a threshold can be easily selected according to a pre-specified type I error rate and statistical comparisons between 2 ranking methods becomes possible. The theoretical null distribution of SLR metric is available so that the threshold of SLR can be exactly determined without resorting to bootstrap simulations, which makes it easy to use in practical virtual screening studies.</p

Part II. Predicting the pilling tendency of the cotton interlock knitted fabrics by artificial neural network

Artificial neural network (ANN) is a mathematical model inspired by biological neural networks and it processes information using a connectionist approach to computation. The aim of the second part of the study is to determine models for estimating the pilling propensity of the interlock knitted fabrics produced from yarns of different yarn counts (Ne 20, Ne 30, Ne 40) and yarn twist coefficients (? e =3.2, ? e =3.6, ? e =4.0) spun by using seven different cotton types harvested from different regions. The fabrics were manufactured in three different tightness factors, including dense, medium, and loose, by changing the yarn length utilized in each course of the fabrics. The models for pilling degree, total pill number, total weighted pill number, average pill area, and average pill height of the fabrics evaluated by PillGrade Objective Pilling Grading System, were derived by using a neural network method. In order to define the effective properties on pilling formation, sensitivity analysis was carried out. All models indicated relatively good estimation power. Fabric cover factor and short fiber content were found as the most significant parameters influencing the pilling propensity feature of the interlock knitted fabrics. © 2019, SAGE Publications Ltd. All rights reserved

The thermal properties of alpaca and alpaca/wool blended fabrics

AATCC;INDA;TAPPI;The Fiber Society2010 Spring Conference of the Fiber Society -- 12 May 2010 through 14 May 2010 -- Bursa -- 105817[No abstract available

Tensile properties of some technical core spun yarns developed for protective textiles

Today high performance fibres with uniquely inherent properties are used for many technical areas such as resistance to heat and flame, chemicals, stabs and cuts; protective clothing and gloves for firefighters, military and industry. In this study, some technical corespun yarns, which can be used in the development of protective textiles were produced with various high performance fibres in three core-sheath ratios (19/81%, 37/63%, 56/44%) by using a modified ring spinning frame. Short staple para-aramid, meta-aramid and PES Trevira® (flame retardant) fibres were used as sheath and multi filament yarns of 110 dtex linear density (E-glass, PES Trevira®, PA HT, PP, PES HT, Technora® T240 and Dyneema® SK75) as the core. The data obtained from tensile testing and the effects of sheath, core and core-sheath ratio on tensile properties were analysed statistically. The results revealed that the tensile properties of core-spun yarns show different tendencies with respect to the type of fibres in core, sheath and different core/sheath ratios. Higher tensile strength is noticed in core-spun yarns with para-aramid sheath fibres followed by PES Trevira® and meta-aramid, and vice-versa in case of elongation. Dyneema® and Technora® core-spun yarns exhibit the highest and PES-Trevira® the lowest tensile strength values. Highest elongation values were observed for core-spun yarns with PP filaments

Part 1. Predicting the pilling tendency of the cotton interlock knitted fabrics by regression analysis

This study, it was aimed to determine the equations and models for estimating the pilling propensity of interlock knitted fabrics. Seven different cotton blends supplied from different spinning mills, yarns in 3 different yarn counts (Ne 20, Ne 30 and Ne 40) and in 3 different twist coefficients (?e=3.2, 3.6 and 4.0) were produced. Interlock knitted fabrics were manufactured in three different fabric tightness values from each of the produced yarns. The pilling tendencies of the fabrics were tested according to EN ISO 12945-2 standard by a Martindale pilling and abrasion device. The PillGrade Objective Pilling Grading System, based on the image analysis principle, was used for evaluating the pilling propensity of the fabrics. By using this system, the pilling degree of the fabrics, total pill number, total weighted pill number, average pill area, and average pill height of the fabrics were measured. Fiber features determined by an AFIS PRO 2 instrument with the samples taken from the cotton roving were used as independent variables for the regression analysis. Moreover, yarn unevenness, yarn twist, yarn count, yarn hairiness, and fabric cover factor values were included in the equations as independent variables; and by considering each of the pilling features measured by PillGrade as a dependent variable, multivariate linear regression equations were determined and the availability of the equations was investigated in detail statistical analyses. © 2015, Association Nonwoven Fabrics Industry. All rights reserved

The thermal properties of alpaca and alpaca/wool blended fabrics

AATCC;INDA;TAPPI;The Fiber Society2010 Spring Conference of the Fiber Society -- 12 May 2010 through 14 May 2010 -- Bursa -- 105817[No abstract available

Glass strengthening by SiO2-TiO2 organically modified silica coating

An alcohol based and water based coating solutions containing SiO2-TiO2 were prepared using sol-gel method. Vickers indented soda-lime-silica float glass samples were coated by applying dip-coating technique and their strengths were determined using Ring-on-Ring test method. Weibull statistics were utilized to examine and interpret the strength results. Clear and transparent coatings on the glasses were obtained. Scanning Electron Microscopy examination revealed that the coatings (alcohol and water based) had a thickness of about 2 gm and partially filled surface cracks. The increase in glass strength of about 170% was obtained with both coating systems. Vickers hardness values of the glasses coated with alcohol based and water based coatings were determined as 3.6 and 4.8 GPa, respectively. In addition, scratch tests performed on the coated glasses indicated that there was a good bonding between the glass samples and the coatings. Fourier Transform Infrared Spectra clearly revealed that the organic groups, Si-O-Ti and Si-O-Si bonds form in the gels heat-treated at 200 degrees C. (c) 2006 Elsevier B.V. All rights reserved