Yarn Tensile Properties Modeling Using Artificial Intelligence

Modeling the Properties of Core-Compact Spun Yarn Using Artificial Neural Network

Tensile Properties of Uhmwpe Single Yarn at Different Strain Rates

In this paper, details of the experimental work to characterise the tensile properties of a UHMWPE single yarn are presented. The yarn specimens were extracted from a plain woven fabric made of Spectra 1000 fibres, and a gripping method which could prevent yarn slippage and ensure the failure occurs in the gauge section was employed. Tensile tests were conducted at three strain rates of 3.3×10,...

scour modeling piles of kambuzia industrial city bridge using hec-ras and artificial neural network

today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...

Integrated Digital System for Yarn Surface Quality Evaluation using Computer Vision and Artificial Intelligence

The evaluation method of yarn surface quality currently in use is mainly based on manual inspection. In order to resolve the inherent limitations of the human visual inspection, an intelligent evaluation system has been developed for the objective and automatic evaluation of yarn surface quality with computer vision and artificial intelligence. In this system, all yarn surface features are full...

Using Artificial Neural Network Algorithm to Predict Tensile Properties of Cotton-Covered Nylon Core Yarns

Artificial Neural Networks are information processing systems. Over the past several years, these algorithms have received much attention for their applications in pattern completing, pattern matching and classification and also for their use as a tool in various areas of problem solving. In this work, an Artificial Neural Network model is presented for predicting the tensile properties of co...