KR-20260064328-A - Dual cooling cold-sensitive fabric manufacturing system using AI monitoring

Abstract

The present invention relates to a fabric manufacturing apparatus and method, and more particularly to an apparatus and method for manufacturing a fabric that provides a cooling sensation while possessing durability and flexibility.

Inventors

• 한대희

Assignees

• 주식회사 한스갤러리

Dates

Publication Date

20260507

Application Date

20241031

Claims (1)

1. It includes a solidification control cooling module, wherein the solidification control cooling module maintains the crystallinity of the yarn uniformly through an air cooling section and a liquid cooling section, and controls the cooling speed and temperature to maximize cooling performance. It includes an ultrafine filament forming module, wherein the ultrafine filament forming module is equipped with a porous forming nozzle part and a simultaneous coating part to increase the air permeability of the filament and stabilize the cooling performance of the filament surface by applying a cooling coating, and It includes a temperature and humidity-sensitive stretching module, wherein the temperature and humidity-sensitive stretching module adjusts the stretching ratio according to changes in temperature and humidity to adjust the strength and flexibility of the fabric, and It includes a thermal conductivity enhancement module, wherein the thermal conductivity enhancement module enhances thermal conductivity through a metal nanoparticle incorporation section and a multilayer fiber structure control section, and optimizes the heat transfer path by controlling the multilayer fiber structure using the following mathematical formula. A manufacturing system for a cooling-sensitive fabric using a dual cooling method utilizing AI monitoring, comprising an automatic control and monitoring module, wherein the automatic control and monitoring module calculates the quality index of the fabric and automatically optimizes the quality by adjusting the weights of each manufacturing factor in real time based on AI, and is characterized by using the following mathematical formula.

Description

Dual cooling cold-sensitive fabric manufacturing system using AI monitoring The present invention relates to a fabric manufacturing apparatus and method, and more particularly to an apparatus and method for manufacturing a fabric that provides a cooling sensation while possessing durability and flexibility. The present invention can be applied to the manufacture of a fabric comprising polyethylene yarn and metal nanoparticles, and to the manufacture of a fabric that can ensure optimal cooling performance and consistent quality through real-time monitoring and automatic control during the manufacturing process. With the progression of global warming, the demand for cooling fabrics is surging. Cooling fabrics are widely used primarily in clothing, sports equipment, and medical products, and are designed to provide users with a comfortable wearing experience in high-temperature environments. Conventional manufacturing technology for cooling fabrics primarily utilizes polymer materials such as polyethylene and employs a method of lowering the user's perceived temperature by controlling cooling speed and thermal conductivity. However, existing manufacturing methods may result in inconsistent cooling performance depending on changes in environmental conditions, or lead to problems such as reduced breathability and durability of the fabric. To improve this, there is a need for technology that manufactures stable cooling fabrics by incorporating metal nanoparticles, dual cooling, and AI-based quality monitoring, rather than relying solely on air cooling. Figure 1 is a photograph of a fabric according to the present invention. The cooling fabric manufacturing device of the present invention is composed of various functional modules, and these modules operate organically to efficiently manufacture high-quality cooling fabric. The method of implementing the invention is explained through the operation process of each module and specific calculations. The solidification control cooling module consists of an air cooling section and a liquid cooling section, and maintains optimal cooling performance through dual cooling during the process of solidifying polyethylene yarn after it is spun. For example, when cooling is performed by setting the cooling temperature T_c to 20°C and the cooling rate v_c to 0.5 m/s, consistent crystallinity and cooling performance are maintained through the cooperation of the air and liquid cooling sections. The ultrafine filament forming module consists of a porous forming nozzle section and a simultaneous coating section, thereby forming ultrafine porous filaments while simultaneously applying a cooling coating. When the filament is spun, the metal nanoparticle concentration C_m is set to 0.02 mg/cm³ to form a porous structure, thereby maximizing air permeability and cooling performance. During this process, the simultaneous coating section provides a cooling coating to the surface of the filament, allowing the cooling performance to be stably maintained even under changes in the external environment. The temperature and humidity-sensitive stretching module operates organically with a temperature-sensitive stretching unit and a humidity-sensitive stretching unit that automatically adjust the stretching ratio according to changes in temperature and humidity. For example, when the temperature of the manufacturing environment is 25°C, the stretching temperature T_d is set to 30°C and the stretching ratio r_d is maintained at 1.5 to ensure optimal strength and flexibility. When the stretching factors T_d and r_d at this time are substituted into the formula and evaluated, it can be confirmed that the optimized stretching performance is 9.75. The thermal conductivity enhancement module consists of a metal nanoparticle incorporation section and a multilayer fiber structure control section. When the metal nanoparticle concentration C_m is set to 0.02 and the multilayer fiber thickness d_s is set to 0.1, the thermal conductivity calculation formula is applied as follows: When the values are substituted and calculated, the result is 0.4·log(1.6667)·e^-1500, which is a very small value, and this helps maintain breathability by suppressing excessive thermal conductivity. The automatic control and monitoring module optimizes quality by adjusting the weights of each factor in real time based on AI. The cooling quality index is evaluated by substituting T_c=20, v_c=0.5, and Q_max=0.15 into the cooling fabric quality index calculation formula. By substituting the values, Q_index=4.225, confirming that it meets the quality standards and that quality can be automatically managed even during production. As such, the cooling fabric manufacturing device according to the present invention allows each module to interact with one another to maintain optimal conditions and consistently maintain the cooling performance and quality of the fabric. Through this automated manufacturing process, high-quality cooling fabri