Predicting the tensile strength of single wool fibers using artificial neural network and multiple linear regression models based on acoustic emission

Correlation analysis between acoustic emission signal parameters and fracture stress of wool fiber

(2019) Di Lu et al.   TEXTILE RESEARCH JOURNAL

Failure load prediction for fiber-reinforced composites based on acoustic emission

(2018) Markus G.R. Sause et al.   COMPOSITES SCIENCE AND TECHNOLOGY

Application of multiple linear regression, central composite design, and ANFIS models in dye concentration measurement and prediction using plastic optical fiber sensor

(2015) Su Sin Chong et al.   MEASUREMENT

Effects of spandex drawing ratio and weave structure on the physical properties of cotton/spandex woven fabrics

(2013) Alsaid Ahmed Almetwally et al.   JOURNAL OF THE TEXTILE INSTITUTE

Analysis of Acoustic Emission energy release during static fatigue tests at intermediate temperatures on Ceramic Matrix Composites: Towards rupture time prediction

(2012) E. Maillet et al.   COMPOSITES SCIENCE AND TECHNOLOGY

Predicting properties of single jersey fabrics using regression and artificial neural network models

(2012) Pelin Gurkan Unal et al.   FIBERS AND POLYMERS

Ultimate Strength Prediction of Carbon/Epoxy Tensile Specimens from Acoustic Emission Data

(2010) V. Arumugam et al.   JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY

Failure strength prediction of unidirectional tensile coupons using acoustic emission peak amplitude and energy parameter with artificial neural networks

(2009) T. Sasikumar et al.   COMPOSITES SCIENCE AND TECHNOLOGY

Prediction of Yarn Properties Using Evaluation Programing

(2009) Mehmet Dayik   TEXTILE RESEARCH JOURNAL

Comparison of artificial neural network and linear regression models for prediction of ring spun yarn properties. I. Prediction of yarn tensile properties

(2008) Mustafa E. Üreyen et al.   FIBERS AND POLYMERS

Comparison of artificial neural network and linear regression models for prediction of ring spun yarn properties. II. Prediction of yarn hairiness and unevenness

(2008) Mustafa E. Üreyen et al.   FIBERS AND POLYMERS

Investigation on the knittability of glass yarn

(2008) Xiao-Ming Liu et al.   JOURNAL OF THE TEXTILE INSTITUTE

Neural network based prediction on mechanical and wear properties of short fibers reinforced polyamide composites

(2007) Zhenyu Jiang et al.   MATERIALS & DESIGN