A new multivariate approach based on weighted factor scores and confidence ellipses to precision evaluation of textured fiber bobbins measurement system
In a process that has multiple correlated characteristics, it is more appropriate to use
multivariate techniques. This study proposes a multivariate gage repeatability and …
multivariate techniques. This study proposes a multivariate gage repeatability and …
Yarn strength modelling using adaptive neuro-fuzzy inference system (ANFIS) and gene expression programming (GEP)
AR Fallahpour, AR Moghassem - Journal of Engineered …, 2013 - journals.sagepub.com
This study compares capabilities of two different modelling methodologies for predicting
breaking strength of rotor spun yarns. Forty eight yarn samples were produced considering …
breaking strength of rotor spun yarns. Forty eight yarn samples were produced considering …
Soft computing in fibrous materials engineering
A Majumdar - Textile Progress, 2011 - Taylor & Francis
Soft computing is a cluster of modelling and optimisation techniques which mimics the
behaviour of biological systems. Artificial neural network (ANN), fuzzy logic (FL) and genetic …
behaviour of biological systems. Artificial neural network (ANN), fuzzy logic (FL) and genetic …
The effect of false-twist texturing parameters on the structure and crimp properties of polyester yarn
P Stojanović, M Savić, D Trajković… - Chemical Industry …, 2017 - doiserbia.nb.rs
In this paper, the effect of false-twist texturing parameters (texturing speed, heater
temperature, draw ratio and disc-to-yarn speed ratio (D/Y ratio)) on the structure and crimp …
temperature, draw ratio and disc-to-yarn speed ratio (D/Y ratio)) on the structure and crimp …
Prediction of false twist textured yarn properties by artificial neural network methodology
The false twist texturing method is one of the most common texturing techniques. This
process depends on parameters such as tension, twist, and heater temperature. As false …
process depends on parameters such as tension, twist, and heater temperature. As false …
An intelligent model to predict breaking strength of rotor spun yarns using gene expression programming
A Moghassem, A Fallahpour… - Journal of Engineered …, 2012 - journals.sagepub.com
Exploring relationships between characteristics of a yarn and influencing factors is
momentous subject to optimize the selection of the variables. Different modelling …
momentous subject to optimize the selection of the variables. Different modelling …
Processing parameters optimization of draw frame for rotor spun yarn strength using gene expression programming (GEP)
AR Moghassem, AR Fallahpour - Fibers and Polymers, 2011 - Springer
Breaking strength is one of the most important mechanical property of a yarn as it is the main
parameter for quality control. This property depends on many different factors namely, raw …
parameter for quality control. This property depends on many different factors namely, raw …
FDY ile POY, CDPET ve Mikro POY polyester filamentlerin farklı tekstüre şartlarında birleştirilmesiyle elde edilen ipliklerin özellikleri ve örme kumaştaki görsel etkileri
O Babaarslan, A Telli, AG Gören - Dokuz Eylül Üniversitesi …, 2019 - dergipark.org.tr
Son yıllarda tekstil endüstrisinde ştapel liflerin karışımı ile yenilikçi ürün geliştirme
çalışmaları yapılırken, filament yapılı ipliklerde ise birleştirme yolu ile katma değer …
çalışmaları yapılırken, filament yapılı ipliklerde ise birleştirme yolu ile katma değer …
[PDF][PDF] A Review on False-Twist Texturing. Fibers 2024, 12, 36
The annual demand for fibres continues to rise worldwide. Consequently, more and more
fibres must be produced to meet this demand, most of which are melt-spun polymeric man …
fibres must be produced to meet this demand, most of which are melt-spun polymeric man …