علوم و فناوری نساجی و پوشاک

علوم و فناوری نساجی و پوشاک

اندازه گیری درجه تثبیت تاب نخ بر مبنای تعریف ذاتی تاب و پیش بینی آن توسط شبکه عصبی مصنوعی

نوع مقاله : مقاله پژوهشی

نویسنده
مهران دادگر
گروه مهندسی نساجی، دانشکده فنی و مهندسی ، دانشگاه نیشابور، نیشابور، ایران
10.22034/jtst.2024.195671
چکیده
تثبیت تاب بخش مهمی از تولید نخ به دو روش تاب دادن مجازی یا واقعی است. روش مرسوم برای تثبیت تاب، انجام عملیات حرارتی نخ است. در حال حاضر تثبیت تاب بر اساس تثبیت مقدار ترکیبی از میزان تثبیت خمش، کرنش، گشتاور طبق روش های رایج محاسبه میشود. در حالی که مبنای تاب نخ، اعمال نیروی پیچشی بر دسته الیاف است و روش جدید ارایه شده برای ارزیابی درجه تثبیت تاب که فقط ناشی از نیروی پیچشی بر الیاف است ارائه شده است. با کمک روش تاگوچی 25 نمونه تحت شرایط مختلف تاب، دما و زمان تهیه شدند. طراحی برای سه فاکتور (زمان، دما، تاب) و پنج سطح برای هر فاکتور انجام شده است. سطوح تاب، دما و زمان به ترتیب عبارتند از (0,40,80,120,180);(23,60,90,120,150);(0,60,90,120,150). نقطه ذوب نخ‌های پلی‌پروپیلن به‌عنوان نقطه‌ای مهم برای تنظیم دمای تثبیت حرارتی مورد استفاده قرار می‌گیرد. سپس درجه تثبیت تاب طبق روش جدید محاسبه و توسط رگرسیون و شبکه عصبی پیش‌بینی شد. نتایج پیش‌بینی همبستگی خوبی بین نتایج تجربی و پیش‌بینی‌شده توسط مدل ANN در مقایسه با روش رگرسیون نشان می‌دهد.
کلیدواژه‌ها
تاب
نیروی پیچشی
تثبیت حرارتی
پلی پروپیلن
شبکه عصبی

موضوعات

عنوان مقاله English

Measuring The Degree Of Twist Set Based On The Twist Intrinsic Definition And Its Prediction By Artificial Neural Network

نویسنده English

Mehran Dadgar
Department of Textile Engineering, Faculty of Engineering, Neyshabour University, Neyshabour, Iran
چکیده English

Twist fixation is an important part of yarn production in two methods of virtual or real twisting method. Currently, twist fixation is calculated by performing heat treatment based on a combination of stabilization of bending, strain, and torque according to common methods. This is the fact that the basis of yarn twist is simply the application of twisting force on the fibres, and as a rule, twist stabilization should be the same twisting force. In the new method, a way to evaluate the degree of stabilization of the twist, which is only caused by the torsional force applied to the fibres, is presented. With the help of Taguchi method, 25 samples were prepared under different levels of twist, temperature and time. The design is done for three factors (time, temperature, twist) and five levels for each factor. The twist, temperature and time levels are respectively (0,40,80,120,180), (23,60,90,120,150) and (0,60,90,120,150). Then heat treatment was done and the degree of twist stabilization was calculated according to the new method and predicted by regression and neural network. The results show a good correlation between the experimental and predicted results by the ANN model compared to the regression method.

کلیدواژه‌ها English

Twist
Torsional force
Heat setting
Polypropylene
ANN
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  • تاریخ دریافت 22 بهمن 1402
  • تاریخ بازنگری 10 اردیبهشت 1403
  • تاریخ پذیرش 18 اردیبهشت 1403