1、 Equipment optimization and upgrade

For example, using a robotic arm or conveyor belt system to achieve automatic conveying and loading/unloading of workpieces, enabling the equipment to work continuously and avoiding downtime caused by manual loading and unloading.

Optimize the internal workflow of the equipment through automated programming.

For example, through precise CNC systems, deburring and wire drawing operations can be seamlessly integrated, automatically adjusting parameters such as tool path, speed, and pressure according to the shape, size, and material of the workpiece, improving the coherence and efficiency of machining.

Performance improvement

For example, in the deburring process, higher tool speeds can remove burrs more quickly; During the drawing process, increasing the drawing speed appropriately can shorten the processing time while ensuring quality.

Replace high-precision and durable cutting tools and wire drawing molds.

High quality cutting tools can maintain sharp edges, reduce wear and replacement frequency during the machining process, and thus improve effective working time.

The new wire drawing mold can have a more reasonable structural design, such as better texture forming effect and lower friction, improving the speed and quality of wire drawing.

2、 Process improvement

For example, for metals with higher hardness, the cutting depth and pressure of deburring tools should be appropriately increased, but attention should be paid to avoiding damage to the workpiece; When drawing, adjust the appropriate texture depth and drawing speed to achieve the best appearance and production efficiency.

Adopting advanced processing techniques, such as a composite process combining high-pressure water jet and mechanical polishing during deburring.

First, use high-pressure water jet to quickly remove most of the burrs, and then perform fine processing through mechanical polishing, which can greatly shorten the deburring time and improve the processing quality.

Multi process integration

For example, after deburring and drawing, cleaning and drying processes can be directly carried out, completing multiple steps in one equipment or a continuous production line, reducing the turnover time of workpieces between different equipment and the loss during transportation, and improving overall production efficiency.

3、 Employee Training and Management

Including how to correctly set processing parameters, how to quickly replace tools and molds, how to handle simple equipment failures, etc.

Proficient operation can reduce equipment downtime and product rework caused by misoperation.

Train employees on daily maintenance knowledge of equipment, such as regular cleaning, lubrication, and inspection of key components of equipment.

Good equipment maintenance can ensure the normal operation of equipment and reduce production delays caused by equipment failures.

production process management

For example, processing workpieces of the same material and shape in a centralized manner can reduce the time required for equipment to frequently adjust parameters.

Establish an effective quality monitoring system to promptly identify and resolve quality issues in the production process.

If there is a problem with product quality, promptly trace the cause and take measures to avoid the generation of a large amount of waste and improve the effective output rate.

4、 Data driven production decision-making

By analyzing these data, predict possible equipment failures and perform maintenance in advance; At the same time, analyze the relationship between processing parameters and product quality, and continuously optimize processing parameters.

Use production management software to record various data during the production process, including production time, output, scrap rate, etc.

By analyzing these data, identify bottleneck links in the production process and take targeted measures to improve efficiency.

Intelligent Decision System

The system can automatically adjust the processing parameters of the equipment based on the collected data, or provide decision-making suggestions for management personnel to optimize production processes, upgrade equipment, and improve production efficiency.