Introduce the performance characteristics of synthetic fiber intelligent spinning machine.

Performance characteristics of synthetic fiber intelligent spinning machine

Synthetic fiber intelligent spinning machine is mainly used for polyester, nylon, polypropylene fiber, PLA and other melt spinning (POY/FDY/ composite fiber), which integrates precision machinery, sensing detection, AI control and industrial Internet of Things technology. Compared with traditional spinning machines, its core advantages are concentrated in five dimensions: precise closed-loop control, online quality perception, independent operation and maintenance, digital interconnection and energy-saving flexible production. The detailed performance features are as follows:

First, the whole process of high-precision closed-loop process control

Multi-stage independent precision temperature control

Independent PID intelligent temperature control is adopted for each area of screw, spinning box and hot roller, and the temperature control accuracy can reach 0.3 ~ 0.5℃; According to the dynamic compensation of melt viscosity and environmental temperature and humidity, melt degradation and fluidity fluctuation are suppressed to ensure uniform spinning extrusion.

Precise, steady pressure and steady flow in melt conveying

Equipped with high-precision metering pump vector synchronous drive, melt flow fluctuation ≤ 1%; Real-time collection and dynamic adjustment of melt pressure can eliminate pulse disturbance and greatly reduce fineness unevenness.

Intelligent control of tow forming

Intelligent side blowing/ring blowing system, automatically adjusting wind speed, air temperature and humidity; Real-time closed-loop adjustment of winding tension, transverse motion and spinning speed can inhibit silk overlapping, convex edge and edge collapse, and the consistency of silk cake formation is significantly improved.

Multi-motor synchronous cooperation

Spinning, drafting, hot rolling and winding are synchronously controlled by multi-axis bus, and the synchronous error of rotating speed is extremely small, which is suitable for high-speed spinning conditions (spinning speed of mainstream machine is 3000 ~ 4500 m/min) and reduces the incidence of broken filaments and fuzz.

Second, online intelligent perception and real-time quality early warning (core intelligent features)

Global sensor network

Deploy tension sensor, melt pressure/temperature sensor, laser linear density detector, industrial vision camera and vibration sensor to collect thousands of process data in real time.

Online visual quality inspection

Real-time recognition of wool, doubling, broken and greasy silk by AI vision; On-line monitoring of fiber diameter and oiling uniformity of oil agent can identify anomalies in milliseconds, and the detection rate is over 98%.

Wire breakage and fault prediction (predictive early warning)

Based on the edge calculation+process mechanism model, the hidden faults such as metering pump wear, filter screen blockage, abnormal hot roller and cooling condition drift are identified in advance; Early warning of wire breakage risk in advance to reduce abnormal shutdown.

Abnormal linkage treatment

When the parameters exceed the standard, the system automatically slows down, stops locally, gives an audible and visual alarm, and records abnormal points to avoid batch defective products.

Three, automatic operation and flexible production capacity

Digital management of process formula

Hundreds of spinning process recipes are stored and called with one key; Variety switching parameters are automatically loaded, which reduces manual debugging time and supports rapid production change of fine denier, coarse denier and composite fiber.

Automated auxiliary operation

High-end models support automatic starting, automatic doffing and silk cake transfer signal docking; Simplify the manual threading and doffing operations, and reduce the labor intensity of operators.

Modular flexible architecture

POY/FDY conversion module, two-component composite spinning assembly and online oiling optimization unit can be selected according to requirements; One machine adapts to a variety of synthetic fiber raw materials (PET, PA6, PP, bio-based fiber).

Fourth, digital interconnection, remote operation and maintenance and life cycle management

Open industrial communication interface

Support OPC UA, MQTT, Profinet, seamlessly connect MES, ERP and energy management platforms, and get through the data flow of order → production → quality inspection → warehousing.

Remote monitoring and remote diagnosis

Support remote access of 5G/industrial Ethernet, engineers can remotely check operation parameters, retrieve fault logs and upgrade online programs; Reduce the cost of on-site debugging.

Full traceability of production data

Each silk cake is bound with process parameters, equipment number, production time and quality inspection data to realize the traceability of the whole process of the product and facilitate the attribution analysis of quality problems.

Digital twinning is optional.

The virtual simulation model of spinning process is constructed to simulate melt flow and cooling forming, which is used for new process trial spinning and parameter pre-optimization to reduce the waste of physical trial spinning.

Five, energy saving, green and low carbon performance

Dynamic energy efficiency optimization

Automatically adjust the output of fan, heater and pump group according to the load, so as to prevent no-load energy consumption; The heat medium and hot air waste heat recovery system are intelligently linked, and the comprehensive power consumption per ton of silk is reduced by 8% ~ 15% compared with the traditional model.

Intelligent load management

Avoid dynamic parameter adjustment during peak power consumption and support demand-side response of enterprises; Real-time itemized statistics of single equipment energy consumption, positioning energy consumption waste point.

Reduction of raw material loss

The process is stable+online real-time rectification, the rate of waste silk and defective products is obviously reduced, and the utilization rate of chips is improved.

VI. Intelligent Fault Diagnosis and Equipment Health Management

Visual alarm for fault self-diagnosis

Touch screen graphic display fault location, cause, recommended treatment scheme, bid farewell to code alarm, and shorten troubleshooting time.

Life prediction of parts

Continuously collect vibration and temperature data of bearings, metering pumps and hot rollers, establish wear models, push planned maintenance reminders, avoid sudden shutdown, and improve the mean time between failures (MTBF) of equipment.

Multi-level safety interlock protection

Multi-safety logic of overtemperature, overpressure, broken wire, emergency stop and door switch; Automatic interlock shutdown in case of dangerous working conditions to ensure the safety of personnel and equipment.

VII. Summary of Comprehensive Application Value

Product quality: uneven size, uneven dyeing, and wool defects are significantly reduced, and batch stability is improved;

Production efficiency: shortening the production change time, reducing the number of downtime and improving the utilization rate of single-line capacity;

Labor cost: reduce the number of operators and reduce the on-site duty of senior process technicians;

Management level: transparent production, continuous iteration and lean production supported by data;

Operation and maintenance cost: Planned maintenance replaces passive repair, and spare parts consumption decreases.