Predicting the Hairiness of Cotton Rotor Spinning Yarns by Artificial Intelligence

نویسندگان: ثبت نشده
چکیده مقاله:

این مقاله چکیده ندارد

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Pretreatment dependence of mechanical and surface properties of cotton ring- and OE rotor-spun yarns

The variations in the mechanical and surface properties of cotton ringand OE rotor-spun yarns on exposure to different chemicals during wet processing have been studied. It is observed that the structure and yarn twist are the dominant parameters in determining the accessibility of chemicals during wet processing. The most distinct outcome of alkaline scouring of cotton yarns, in comparison to ...

متن کامل

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...

متن کامل

The Effect of Yarn Hairiness on Air Drag in Ring Spinning

Air drag on yarn and package surfaces affects yarn tension, which in turn affects energy consumption and ends-down in ring spinning. This paper investigates the effects of yarn hairiness on air drag in ring spinning. Theoretical models of skin friction coefficient on the surface of rotating yarn packages were developed. The predicted results were verified with experimental data obtained from co...

متن کامل

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 &#10properties of ...

متن کامل

Future prospects of rotor spinning

Labour productivity has been continuously increasing since the days of spinningjenny to the modern day roto r frames. To visualize the spinning industry in the year 2000, the past and the present technologica l changes have been analyzed so as to assess their overall impact in terms of labour complement.. material handling, required operative skill and automation. The automation in textile indu...

متن کامل

Optimisation of Cotton Fibre Blends using AI Machine Learning Techniques

Fibre blend should be composed regarding the requirements and allowable price of the textile end product. Using the appropriate raw material and optimised fibre blends we can influence the mechanical properties and regularity of a yarn as well as significantly reduce the number of yarn faults. The contribution presents a study of the influence of quality characteristics of cotton fibres and con...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ذخیره در منابع من قبلا به منابع من ذحیره شده

{@ msg_add @}


عنوان ژورنال

دوره 6  شماره 1

صفحات  15- 21

تاریخ انتشار 2018-01-01

با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.

کلمات کلیدی

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023