Intelligent Techniques for Modeling the Relationships between Sensory Attributes and Instrumental Measurements of Knitted Fabrics

ABSTRACT The present investigation provides a promising tool for engineering industrial products design. In fact, two soft computing approaches, namely artificial neural network (ANN) and fuzzy inference system (FIS), have been applied to model the relationship between sensory properties and instrumental measurements of knitted fabrics. The prediction performance of these models was evaluated using the root mean square error (RMSE). The obtained results show the models' ability to predict tactile sensory attributes from the measured surface and compression properties. These neural and fuzzy models may help textile industrialists to satisfy the specific needs of consumers

Transverse compression behavior of polyamide 6.6 rovings: Experimental study

International audienceThe purpose of the present work is to understand physical phenomena o ccurring in roving structures under transverse compression. In order to reach this aim, transverse behavior of prototype rovings featuring a small number of polyamide 6.6 filaments are studied using an experimental device developed in our laboratory. Moreover, the effect of roving characteristics on their transverse compression behavior is examined. The studied characteristics are filament diameter and number, roving twist and tension. It is found that the roving behavior under compression shows plateaus separated by a significant increase of compression force, indicating discontinuous changes in the roving structures. This fact may be attributed to a reorganization of rovings followed by a local slippage between filaments. Transverse properties of rovings are affected by contact-friction inter filaments and the initial filament section fraction. In fact, it is more difficult to compact high-twisted rovings. Rovings with a greater number of filaments require a higher force in order to be compacted. The pre-tension of the rovings has no noticeable effect on their compression behavio

Transverse compression behavior of textile rovings: finite element simulation and experimental study

International audienceResults from finite element simulation of the transverse compression of Polyamide 6.6 rovings made of 40 filaments are compared in this paper against experimental data. The finite element simulation, using a finite strain beam model to represent each filament of the roving, focuses on the modeling of contact-friction interactions between filaments. Experimental tests, consisting in crushing rovings between two rigid planes, varying the twist and the tensile force, are reproduced by simulation. Experimental and simulation results are compared with a good agreement. The simulation studies the influence of the roving twist, the applied tensile force, and the friction coefficient on the transverse compression behavior. The occurrence of plateaus in the transverse compression curve is highlighted and discussed