As the need for quickly exploring a textile manufacturing process is increasingly costly along
with the complexity in the process. The development of manufacturing process modeling has …

Color matching is an important issue in textile dyeing especially when facing with natural
dyes. Generally, the expert engineers evaluate the fabric's color visually and try different …

The tenacity of spun yarns is related to many process parameters and fiber properties.
Different types of predictive models have been developed to predict the spun yarns tensile …

This study investigated the tensile behavior of some prevalent synthetic fiber ropes made of
polyester, polypropylene, and nylon polymeric fibers. The aim was to generate well …

Yarn quality prediction is vital in cotton spinning mills for stable production, quality
assurance, and cost control. This paper built a machine-learning-based yarn quality …

Yarn tenacity directly affects the winding and knitting efficiency as well as warp and weft
breakages during weaving process and therefore, is considered as the most important …

This article builds a gridded color matching model based on digital color mixing of four
primary colored fibers in the context of digital spinning, which can separately perform …

This study focused on predicting tensile properties of PES/CV/PAN blended Open-End Rotor
yarns. The effective factors were fiber blend ratios (six stages from 0 to 100%), linear density …

Yarn splicing strength is one of the most important indexes to evaluate yarn twist quality, and
it determines final performance of the yarn. This paper establishes a prediction model of …

In this paper, the mechanical and physical properties of rotorcraft compact spinning yarns
were evaluated. For this aim, the filament pre-tension, yarn count and type of sheath fibers …