scholarly journals Investigation of the Tribological Behaviors of Upholstery Woven Fabrics after Abrasion

2020 ◽  
Vol 20 (2) ◽  
pp. 110-120
Author(s):  
Mine Akgun
Keyword(s):  
Surface Roughness ◽  
Surface Deformation ◽  
Structural Parameters ◽  
Roughness Parameter ◽  
Surface Friction ◽  
Woven Fabrics ◽  
Woven Fabric ◽  
Roughness Parameters ◽  
Friction Coefficients ◽  
Fabric Surface

AbstractFabric surface tribology is an important area of study in upholstery fabrics, which is exposed to high friction and abrasion effects. In the studies on the tribology of upholstery fabrics, it is ensured that criteria such as better performance, less degradation, increased usage time, and user comfort are determined and taken into consideration in the woven fabric design. Surface roughness and friction coefficients are important parameters used in determining abrasion, deformation, and wear behaviors of fabrics. In this study, the surface abrasion behaviors of upholstery fabrics woven with basic and jacquard weave patterns and also different structural parameters were investigated in terms of the changes in surface roughness parameters (amplitude parameters: Ra, Rpm, and Rvm and hybrid parameters: Δa) and the changes in surface friction coefficients. These results were also related to the state of the visual changes in the fabrics. Rpm, Rvm, and Δa being roughness parameters were found to be important in the evaluation of the surface deformation of the fabrics after abrasion besides the Ra parameter. Results showed that the Δa roughness parameter could be suitable for evaluating the deformation of the textile structures to be used, particularly in sensitive applications.

scholarly journals Surface Characteristics of Seersucker Woven Fabrics

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Malgorzata Matusiak ◽  
Vladimir Bajzik
Keyword(s):  
Surface Roughness ◽  
Evaluation System ◽  
Surface Friction ◽  
Surface Characteristics ◽  
Measurement Procedure ◽  
Woven Fabrics ◽  
Point Of View ◽  
Woven Fabric ◽  
Weft Yarn ◽  
Surface Parameters

AbstractThe surface characteristics of fabrics are important from the point of view of the sensorial comfort of clothing users. Surface friction and surface roughness are the most important surface parameters of fabrics. These parameters can be measured using different methods, the most important and well-accepted method being that using the Kawabata evaluation system (KES)-FB4 testing instrument. In this work, the surface roughness and surface friction of the seersucker woven fabric have been determined using the KES-FB4. However, the measurement procedure needs modification. On the basis of the results, the influence of the repeat of the seersucker effect and the linear density of the weft yarn on the surface parameters has been determined.

Characterization of the effect of fabric structure on the optical properties of woven fabrics

2019 ◽  
Vol 23 (1) ◽  
pp. 58-70
Author(s):  
Paniz Khosravani ◽  
Nazanin Ezazshahabi ◽  
Masoud Latifi
Keyword(s):  
Optical Properties ◽  
Structural Parameters ◽  
Human Perception ◽  
Comparative Judgment ◽  
Woven Fabrics ◽  
Woven Fabric ◽  
Content Type ◽  
Weave Structure ◽  
The Aesthetic ◽  
Fabric Surface

Purpose This paper aims to study the optical properties of woven fabrics. Design/methodology/approach The current study was carried out to objectively evaluate the luster of a group of woven fabrics with different weave structures and weft densities, with the aid of a goniophotometer. The results obtained from the objective luster measurement were validated by a set of pair comparison subjective tests using Thurstone’s law of comparative judgment. Findings The proper correlation with the R2 value of more than 0.96, between subjective and objective tests, confirmed the reliability and accordance of objective results with the human perception of luster. Statistical analysis of the luster results clarified that the effect of fabric structural parameters such as weave structure and weft density are significant at the confidence range of 95 per cent. The highest luster index was achieved for the twill 3/1 weave structure and the lowest luster belonged to the plain pattern. In addition, an increase in the density of the fabric leads to better luster. Moreover, it was concluded that the surface roughness affects the luster. A rise in the roughness value of the woven fabric causes reduction in its luster property. Originality/value Optical properties of woven fabrics, which are mainly attributed through the measurement of luster, are important for qualifying the aesthetic characteristics of the fabrics with various weave structures. Bearing in mind the influence of fabric surface properties on the aesthetic features of cloths, obtaining information in this field is a guide for selecting the suitable fabric for various end uses.

The effects of yarn and fabric structural parameters on surface friction of plain-woven fabrics

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kura Alemayehu Beyene ◽  
Soliyana Gebeyaw
Keyword(s):  
Surface Properties ◽  
Structural Parameters ◽  
Surface Friction ◽  
Woven Fabrics ◽  
Weft Yarn ◽  
Content Type ◽  
Frictional Behavior ◽  
Frictional Properties ◽  
Yarn Count ◽  
Fabric Surface

Purpose Friction is considered to be one property of cloth that has considerable importance in the fields of both technological and subjective assessment for surface properties of textile fabrics. The purpose of this study is to investigate the affective aspects of yarn and fabric structural parameters on the behavior of surface friction of plain woven fabrics. Design/methodology/approach In this study, nine varieties of half-bleached cotton plain-woven fabrics with three weft yarn count (tex) and three weft thread density (ppc) are produced and will be examined for their frictional characteristics. The surface frictional properties of plain-woven fabrics were measured by using Kawabata (KES-Fb4) testing instrument. The ANOVA analysis is used to determine how yarn (count) and fabric (density) structural parameters does influence the surface friction properties of the fabrics. Also, the interaction effects between the factors (count and density) on the response variable (surface friction) of plain-woven fabrics. Findings The findings of this study revealed that the effects of weft yarn count and pick-density have statistically significant on the frictional behavior of the fabric surface properties at a 95% confidence interval. Thus, weft yarn count has a positive correlation with both coefficient of friction (MIU) and mean deviation of coefficient of friction (MMD) on frictional behavior of the fabric surface properties. On the other hand, pick density has a negative correlation with both MIU and MMD on frictional behavior of the fabric surface properties. The weft count, pick density and their interactions (Count X Density) have multicollinearity in the experiment term because the variance inflation factor values were greater than one. Originality/value The findings of this study can be routinely used across the textile industries and laboratories to provide a fundamental understanding regarding the surface frictional properties of the woven fabric for different end applications concerning the yarn structural parameters and fabric structural parameters. And the relationship of count and density with surface friction of plain woven fabrics.

Calculation of Roughness Parameters during Ultrasonic Hobbing from the Viewpoint of the Theory of Elastic-Plastic Contact

2019 ◽  
Vol 973 ◽  
pp. 170-173
Author(s):  
Sergey I. Agapov ◽  
Yuriy I. Sidyakin ◽  
Oleg F. Korpelyanskiy
Keyword(s):  
Surface Roughness ◽  
Analytical Solutions ◽  
Roughness Parameter ◽  
Regression Equations ◽  
Ultrasonic Machining ◽  
Roughness Parameters ◽  
Elastic Plastic ◽  
Fine Pitch

This article analyses the process of occurrence of the surface roughness during the ultrasonic hobbing of the fine pitch gears from the viewpoint of the theory of elastic-plastic contact, and suggests analytical solutions and regression equations to estimate the roughness parameter Ra in both conventional and ultrasonic machining.

The effects of the structural parameters of three-dimensional warp interlock woven fabrics with silver-based hybrid yarns on electromagnetic shielding behavior

2019 ◽  
Vol 90 (11-12) ◽  
pp. 1354-1371
Author(s):  
Marzieh Javadi Toghchi ◽  
Carmen Loghin ◽  
Irina Cristian ◽  
Christine Campagne ◽  
Pascal Bruniaux ◽  
...  
Keyword(s):  
Unit Area ◽  
Structural Parameters ◽  
Three Dimensional ◽  
Woven Fabrics ◽  
Electromagnetic Shielding ◽  
Woven Fabric ◽  
Shielding Effectiveness ◽  
Conductive Material ◽  
Conductive Yarns ◽  
Multifilament Yarns

The main objective of the present study was to investigate the increase in the electromagnetic shielding effectiveness (EMSE) of a set of five variants of three-dimensional (3D) warp interlock woven fabrics containing silver multifilament yarns arranged in a 3D orthogonal grid. The EMSE enlargement as a factor of increasing the quantity of the conductive material per unit area was investigated. The quantity of the conductive material per unit area in a 3D woven fabric can be enlarged by increasing either the yarn undulation or the number of conductive yarn systems, while the yarn density and yarn fineness are fixed. Thus, the binding depth of the conductive warp was gradually increased for the first four variants in order to increase the yarn undulation. Alternatively, the conductive weft system was doubled for the last variant with the aim of increasing the quantity of the conductive component. It should be noted that changing the weave structure requires less effort and energy while keeping the same threading of warps in the reed compared to altering the warp density. The EMSE was measured in an anechoic chamber and the shielding was satisfactory for all the variants in the frequency range of 1–6 GHz (19–44 dB). The results revealed that increasing only 7% of the waviness degree of the conductive warps led to 17% EMSE improvement due to increasing of the conductive yarns through the thickness of the variants. Moreover, no upward EMSE was detected for the last variant, despite the fact that the conductive weft system was doubled.

scholarly journals Predictability of Microbial Adhesion to Dental Materials by Roughness Parameters

Coatings ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 456 ◽  
Author(s):  
Andrea Schubert ◽  
Torsten Wassmann ◽  
Mareike Holtappels ◽  
Oliver Kurbad ◽  
Sebastian Krohn ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Titanium Alloy ◽  
Biofilm Formation ◽  
Dental Materials ◽  
Roughness Parameter ◽  
In Vitro Study ◽  
Mean Deviation ◽  
Roughness Parameters ◽  
Microbial Adhesion

Microbial adhesion to intraoral biomaterials is associated with surface roughness. For the prevention of oral pathologies, smooth surfaces with little biofilm formation are required. Ideally, appropriate roughness parameters make microbial adhesion predictable. Although a multitude of parameters are available, surface roughness is commonly described by the arithmetical mean roughness value (Ra). The present study investigates whether Ra is the most appropriate roughness parameter in terms of prediction for microbial adhesion to dental biomaterials. After four surface roughness modifications using standardized polishing protocols, zirconia, polymethylmethacrylate, polyetheretherketone, and titanium alloy specimens were characterized by Ra as well as 17 other parameters using confocal microscopy. Specimens of the tested materials were colonized by C. albicans or S. sanguinis for 2 h; the adhesion was measured via luminescence assays and correlated with the roughness parameters. The adhesion of C. albicans showed a tendency to increase with increasing the surface roughness—the adhesion of S. sanguinis showed no such tendency. Although Sa, that is, the arithmetical mean deviation of surface roughness, and Rdc, that is, the profile section height between two material ratios, showed higher correlations with the microbial adhesion than Ra, these differences were not significant. Within the limitations of this in-vitro study, we conclude that Ra is a sufficient roughness parameter in terms of prediction for initial microbial adhesion to dental biomaterials with polished surfaces.

Considerations Regarding Some Surface State Parameters Characterized by a more Restricted Use

2015 ◽  
Vol 809-810 ◽  
pp. 93-98
Author(s):  
Ionuţ Urzică ◽  
Ciprian Râznic ◽  
Mihai Apostol ◽  
Corina Mihaela Pavăl ◽  
Mihai Boca ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Roughness Parameter ◽  
Cutting Speed ◽  
Roughness Parameters ◽  
Turning Process ◽  
Nose Radius ◽  
Machined Surface ◽  
Surface Roughness Parameter ◽  
Surface Roughness Parameters ◽  
Restricted Use

Frequently, on the drawings of mechanical parts, only indications concerning the surface roughness parameter Ra and, relatively rarely, the surface roughness parameter Rz are included. However, the study of the machined surface roughness highlights the necessity to use yet other surface roughness parameters, in order to have a clearer image on the state of the machined surface. Some other surface roughness parameters possible to be used and presenting importance, without the parameters Ra and Rz, were highlighted. One took into consideration the possibility of measuring parameters Rsk and Rmr by means of the available surface roughness testers. Experimental researches of turning by applying the method of full factorial experiment were developed. As input factors in turning process, the cutting speed, the feed rate and the tool nose radius were used. The experimental results were mathematically processed, being determined empirical mathematical models that highlight the influence of certain input factors of turning process on the values of some surface roughness parameters characterized by a more restricted use

Multi-objective optimization of parametric combination of injected slub yarn for producing knitted and woven fabrics with least abrasive damage

2017 ◽  
Vol 21 (2) ◽  
pp. 111-133 ◽  
Author(s):  
Arunangshu Mukhopadhyay ◽  
Vinay Kumar Midha ◽  
Nemai Chandra Ray
Keyword(s):  
Structural Parameters ◽  
Research Work ◽  
Optimal Solution ◽  
Woven Fabrics ◽  
Woven Fabric ◽  
Content Type ◽  
Multi Objective ◽  
Score Analysis ◽  
The Impact ◽  
Slub Yarn

Purpose This study aims to optimize the parametric combination of injected slub yarn to achieve least abrasive damage on fabrics produced from it. Design/methodology/approach Single base injected slub yarn structural parameters, vis-à-vis slub length, slub thickness and slub frequency, were varied during preparation of yarn samples under this research work. A total of 17 yarn samples were produced according to the Box and Bhenken design of the experiment. Subsequently knitted and woven (using injected slub yarns in the weft only) fabric samples were prepared from these yarns. Yarn and fabric samples were abraded with standard instruments to see the impact of yarn structural parameters on abrasive damage of fabric in terms of fabric mass loss and appearance deterioration. From the test results, empirical models relating to slub parameters and fabric abrasion behavior were developed through a backward elimination regression approach. Subsequently, a set of optimal parametric combinations was derived with multi-objective evolutionary algorithms by using MATLAB software. This was followed by ranking all optimal solutions through technique for order preference by similarity to idle solution (TOPSIS) score analysis. Findings The injected slub yarn’s structural parameters have a strong influence on the abrasive damage of knitted and woven fabric. It is seen that the best suitable parametric combination of slub parameters for achieving the least abrasive damage is not the same for knitted and woven fabric. Practical implications The spinner can explore this concept to find out the best suitable parametric combination during pattern making of injected slub yarn through MATLAB solution followed by TOPSIS score analysis based on their priority of criteria level to ensure better abrasion behavior of fabric produced. Originality/value Optimization of parametric combination of injected slub yarns will help to ensure production of fabric with most resistance to abrasion for specific applications. The studies showed that the optimal solution for woven and knitted fabrics is different. The result indicates that in the case of knitted fabric, comparatively lesser slub thickness is found to be suitable for getting better fabric abrasion resistance, whereas in the case of woven fabric, comparatively higher slub thickness is found suitable for the same.

Measurements and Evaluation of Internal Wall Surface Roughness of Small Diameter Pipes for High Pressure Natural Gas Systems

2014 ◽  
Author(s):  
C. Hartloper ◽  
K. K. Botros ◽  
J. Geerligs ◽  
H. Golshan ◽  
K. Jensen
Keyword(s):  
Surface Roughness ◽  
Pipe Wall ◽  
Large Diameter ◽  
Roughness Parameter ◽  
Small Diameter ◽  
Wall Roughness ◽  
Roughness Parameters ◽  
Internal Wall ◽  
Effective Roughness ◽  
Pipe Size

The default roughness parameter values used in industry to determine the pressure loss through small diameter pipeline systems are much higher than the values employed in typical large diameter gas transmission and lateral systems. It is uncertain whether these higher roughness values are due to higher topological roughness of the internal wall of the small diameter pipes or if they are a result of other factors. Measurements were taken on 17 small diameter pipe samples in order to evaluate the pipe-wall roughness parameter. A model to calculate the effective roughness parameter, which takes into account pressure losses due to the measured roughness as well as internal welds and scaling, has been developed. The effective roughness parameter of these samples is found to range from 20.4μm to 62.9μm, an increase of 11.0μm to 23.3μm over the measured pipe-wall roughness parameter. This range of effective roughness parameters agrees well with the default range of 35μm to 65μm used in industry, as well as the literature quoted range for clean pipe of 40μm to 100μm. The measured roughness parameter on average increases with increasing nominal pipe size, a result that may be a characteristic of the extrusion or hot-rolling processes used to manufacture small diameter pipes. Additionally, there is a large variation in the measured roughness parameters of pipe samples of the same nominal pipe size, indicating that surface roughness can vary depending on the manufacturing source of these pipes.

scholarly journals The influence of technological parameters on surface roughness during turning and roughness prediction using artificial neutral networks

Mechanik ◽  
2018 ◽  
Vol 91 (10) ◽  
pp. 898-900 ◽  
Author(s):  
Ireneusz Zagórski ◽  
Monika Kulisz ◽  
Tomasz Warda
Keyword(s):  
Neural Network ◽  
Surface Roughness ◽  
Artificial Neural Network ◽  
Aluminum Alloy ◽  
Roughness Parameter ◽  
Cutting Speed ◽  
Roughness Parameters ◽  
Technological Parameters ◽  
Surface Roughness Parameters ◽  
Roughness Prediction

The purpose of this investigation was to determine whether and to what extent the technological parameters of turning (feed, cutting speed) affect selected surface roughness parameters of aluminum alloy EN-AW 7075 (AlZn5.5MgCu). The principal findings indicate a significant impact of feed and show on the surface roughness and simultaneously show that cutting speed has no effect on the value of surface roughness parameters under investigation. An artificial neural network was employed to evaluate the prediction of surface roughness parameter Rz in turning.

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