8 research outputs found
Effect of some feed filament parameters and weave on compressional properties of air-jet textured yarn fabrics
The influence of some feed filament parameters and weave on compression and recovery behaviour of air-jet textured yarn fabrics has been studied and compared with their corresponding parent yarn fabrics. Fabric low load compression-recovery behaviour has been analysed by defining initial thickness, compression parameter, recovery parameter and resiliency. Fabrics made from coarser yarn (larger total yarn dtex) have higher initial thickness and compression parameter while lower recovery parameter and resiliency, as compared to fabrics made from finer yarn. Fabrics are woven with two woven structures, namely plain and twill weave to assess the effect of fabric structure on compression and recovery behaviour of the fabrics. Twill woven fabrics exhibit a higher value of all compressional parameters compared to their equivalent plain woven fabrics. Parent yarn fabrics exhibit a low value of all compressional properties, irrespective of change in any feed yarn characteristics as compared to their equivalent textured yarn fabrics
Effect of linear density of feed yarn filaments and air-jet texturing process variables on compressional properties of fabrics
Effect of filament fineness and process parameters employed in the production of air-jet textured yarns has been studied on the compression and recovery of union fabrics made from air-jet textured yarns as weft and twisted filament yarns as warp. Filament linear density and process parameters such as overfeed, air pressure and texturing speed affect the textured yarn structure and hence fabric properties. The individual effect of filament fineness and process variables in the production of air-jet textured yarn has been studied in terms of potential contribution and normalized regression coefficient on fabric low load compression behavior. Fabric low load compression-recovery behavior has been analyzed in terms of compression parameter, recovery parameter and resiliency. Analysis shows that most dominating factor to explain the low load compression properties of air-jet textured yarn fabric is overfeed percentage, while linear density per filament is most dominating factor affecting fabric resiliency
Effect of some feed filament parameters and weave on compressional properties of air-jet textured yarn fabrics
9-13The influence of some feed filament parameters and weave on compression and recovery behaviour of air-jet textured yarn fabrics has been studied and compared with their corresponding parent yarn fabrics. Fabric low load compression-recovery behaviour has been analysed by defining initial thickness, compression parameter, recovery parameter and resiliency. Fabrics made from coarser yarn (larger total yarn dtex) have higher initial thickness and compression parameter while lower recovery parameter and resiliency, as compared to fabrics made from finer yarn. Fabrics are woven with two woven structures, namely plain and twill weave to assess the effect of fabric structure on compression and recovery behaviour of the fabrics. Twill woven fabrics exhibit a higher value of all compressional parameters compared to their equivalent plain woven fabrics. Parent yarn fabrics exhibit a low value of all compressional properties, irrespective of change in any feed yarn characteristics as compared to their equivalent textured yarn fabrics
Effect of linear density of feed yarn filaments and air-jet texturing process variables on compressional properties of woven fabrics
The influence of yarn feed and process parameters used in the production of air-jet textured yarn on compression and recovery behavior of air-jet textured yarn fabric has been studied. Yarn linear density per filament and air-jet texturing process parameters, such as overfeed, air pressure and texturing speed are the key factors which influence yarn structure and hence fabric properties. The individual effect of feed yarn properties and air-jet process variables in the production of air-jet textured yarn has been studied in term of potential contribution and normalized regression coefficient on fabric low load compression behavior. Fabric low load compression-recovery behavior has been analyzed by defining compression parameter, recovery parameter and resiliency. Analysis shows that most dominating factor to explain the air-jet textured yarn fabric low-load compression properties is overfeed percentage, while linear density per filament is most dominating factor affecting fabric resiliency
Effect of linear density of feed yarn filaments and air-jet texturing process variables on compressional properties of fabrics
9-16Effect of filament fineness and process parameters employed in the production of air-jet textured yarns has been studied on the compression and recovery of union fabrics made from air-jet textured yarns as weft and twisted filament yarns as warp. Filament linear density and process parameters such as overfeed, air pressure and texturing speed affect the textured yarn structure and hence fabric properties. The individual effect of filament fineness and process variables in the production of air-jet textured yarn has been studied in terms of potential contribution and normalized regression coefficient on fabric low load compression behavior. Fabric low load compression-recovery behavior has been analyzed in terms of compression parameter, recovery parameter and resiliency. Analysis shows that most dominating factor to explain the low load compression properties of air-jet textured yarn fabric is overfeed percentage, while linear density per filament is most dominating factor affecting fabric resiliency
Effect of linear density of feed yarn filaments and air-jet texturing process variables on compressional properties of woven fabrics
47-54The influence
of yarn feed and process parameters used in the production of air-jet textured
yarn on compression and recovery behavior of air-jet textured yarn fabric has
been studied. Yarn linear density per filament and air-jet texturing process
parameters, such as overfeed, air pressure and texturing speed are the key
factors which influence yarn structure and hence fabric properties. The
individual effect of feed yarn properties and air-jet process variables in the
production of air-jet textured yarn has been studied in term of potential
contribution and normalized regression coefficient on fabric low load
compression behavior. Fabric low load compression-recovery behavior has been
analyzed by defining compression parameter, recovery parameter and resiliency.
Analysis shows that most dominating factor to explain the air-jet textured yarn
fabric low-load compression properties is overfeed percentage, while linear
density per filament is most dominating factor affecting fabric resiliency
Comparison of artificial neural network and regression models for prediction of air-jet textured yarn properties
157-162Artificial
neural network (ANN) model has been designed to predict the air-jet textured
yarn properties and the performance of ANN model is compared with response
surface model based on multiple non-linear regression analysis. Linear density
per filament, overfeed, air-pressure and texturing-speed have been selected as
input variables as they
have significant influence on yarn properties. Artificial neural network is
able to forecast the air-jet textured yarn properties based on selected input
parameters with a lower level of errors than the regression models. The
validation data set,
which is used to validate both the model, shows lower level of mean error per cent
in case of ANN than in case of regression model