Integrating automation in your cutting system allows you to reduce labor costs and achieve more efficient production. Using smart sensors, connected machines gather and share data to support paperless production and improve machining quality CNC Knife Cutting Machine

REIMS measures detailed metabolite fingerprints and is capable of analyzing meat within seconds. However, heating the tissue is not an option for smart knife integration because it would destroy or reduce the end-product.
Machine Control

Once the CAM software has generated the tool path, it is sent to the machine as G-code. This is the machine’s “language,” telling it where to go and how fast. In turn, the servos or steppers control movement of the cutting head, when to fire, and how many amps to use.

Whether you work with plastic, rubber, or noble raw materials such as leather and fabric, intelligent knife cutting systems reduce your labour costs by automating the process. This means you can produce more parts with the same workforce and achieve higher product yields, all while maintaining consistent quality.

In addition, the intelligent cutting system can detect and resolve errors. For example, it can automatically adjust cutting parameters when the shape of a cut kerf changes. This feature ensures that you get the best possible result every time.

Intelligent cutting machines are also more accurate than traditional cutters. This is because they have more advanced servos and steppers that provide better positioning accuracy. Additionally, they are designed with high-performance motion control software that offers a wide range of processing functions, including through cutting, kiss-cutting, dotted cutting, punching, and marking. This makes them ideal for sample making and small-run production.

A digital cutting machine that features a vacuum adsorption and fixed leather cutter provides versatility for the sign graphics, garment, and printing/packaging industries. It can also handle a variety of materials, including PU leather and genuine leather. These digital cutters also help you save money by eliminating the need for costly dies.

With the right digital cutters, you can improve production efficiency by up to 45%. This is thanks to the integrated intelligent cutting system, which can detect errors and correct them within milliseconds. This is an essential factor in boosting productivity and eliminating waste.
Tool Control

A machine tool control infused with artificial intelligence can learn about the way you work, and take action to automatically boost machining speed, accuracy, and quality while reducing unplanned downtime for maintenance. Learning takes several forms: (1) analyzing the way you cut, (2) learning how to avoid crashes and tool wear, (3) learning your machine, and (4) predicting when you will need to replace your cutting tools.

In a typical application, the intelligent toolholder continuously analyzes the machining process and detects any deviations from the predefined parameters (such as temperature, rpm, feed rate, cutting depth). If a deviation is detected, the intelligent toolholder will automatically stop the machine in real time and without operator intervention, reduce it to previously defined basic parameters, or adapt the data until the process returns to an acceptable condition.

This feature is particularly useful for parts made from difficult-to-process materials like aluminum alloys. The intelligent toolholder can also help reduce vibration phenomena by ensuring optimal functional geometry of the cutting tool, which in turn will reduce the thermal and dynamic effects that may occur during machining.

Intelligent digital knife cutting equipment is easy to operate and does not require a skilled workforce, saving labor and management costs. The system can be easily retrofitted to existing machines, enabling a seamless transition to a more efficient manufacturing process.

Integrated with the ANCA GBOS system, the smart knife cutter can be connected to all other machines within an organization, allowing for continuous unattended production and a dramatic reduction in non-productive machine time. The solution is part of the Industry 4.0 concept, which considers a factory as one interconnected ecosystem rather than a collection of isolated processes.

A digital knife cutting machine can be programmed to make through cuts, half cuts, and creasing marks on sheets of flexible products, including film, paper, foil, and plastics. It can also be used for sample marking and short-run customized production of sighs, labels, and packaging. The system is designed to meet the needs of all flexible industries, from small business start-ups to large corporations.
Workpiece Positioning

A workpiece positioning system utilizes light sources and image sensors (CCD cameras) to acquire the workpiece images. It applies corresponding image positioning algorithms (image preprocessing, edge detection, feature point identification, etc.) to obtain the workpiece image information, and then realizes executive part processing (such as cutting, drilling, welding, etc.). The resulting workpiece positioning data is transmitted to the CNC machine tool through executive part.

This approach is a more flexible and accurate solution to traditional knife-setting methods. The manual technique has poor security, long knife time, and large random errors due to human factors, making it difficult to adapt to the high machining speed of a CNC machine. It also requires a high level of technical expertise and is not suitable for large-scale knife production.

The automatic method is based on computer vision. It uses the known coordinate system of the machine tool to transform the space coordinate mapping of the image-machine-workpiece. It then recognizes the position of the characteristic mark point on the workpiece and determines its image pixel coordinate value through feature point identification. Finally, the machine tool can automatically set the cutter to this point by solving the distance bias between program origin and the workpiece position.

To ensure the accuracy of the workpiece positioning, a linear scale and rotary encoder are used to form a double-measuring system. This prevents the workpiece and knife from colliding with each other, ensuring that the machine can perform at maximum efficiency without damaging either the workpiece or the knife.

With intelligent typesetting, the i5 laser cutting machine is able to automatically optimize the cutting sequence to maximize material utilization and reduce wastes. Its intelligent alarm function alerts the operator to any abnormal status in real-time, reducing hidden danger.

The GF Machining Solutions CUT P Pro series includes several options for workpiece positioning, including a fixed or retractable Renishaw mechanical touch probe that helps maintain a precise position on the machine table, even with changes in the workpiece surface. This makes it easier to integrate automation into CNC knife machines and achieve higher productivity with unattended operation.
Material Feed

With an intelligent cutting system, your business can run smoothly, without any manual processes. This allows you to focus your attention on other areas of the business and ensures that important processes don’t become bogged down by small tasks.

The ability to cut a wide range of materials and shapes makes CNC knife machines ideal for many different applications. They can handle curves, angles, and other complex cuts that are difficult or impossible to produce with standard blade cutters.

Intelligent CNC Knife Machines can also reduce machining times by reducing unnecessary work, such as repositioning the tool or changing the cutting direction. They can also help you avoid costly mistakes by detecting them before they happen.

One of the main challenges to high-quality machining is obtaining accurate, real-time information about machining conditions. CAM systems typically use an estimate of the volume and amount of material removed by each cut segment, but this information is often inaccurate.

To improve machining accuracy, you can take advantage of a cutting monitoring system that uses vibration sensors to detect air cutting and machine idle time. The vibration sensor can judge whether the machine is in a cutting or non-cutting state by evaluating the change in the workpiece acceleration. Once the evaluation is complete, it can automatically modify the current feed rate to reduce air cutting and increase machining efficiency.

For example, if your cutter is accelerating along a linear path towards a 90-degree corner, it must decelerate rapidly and change directions, which requires a large amount of power. If you knew that this was going to occur, you could slow the cutter down ahead of time to reduce the torque load on your machine.

An intelligent cutting system like VERICUT can perform these calculations for you, and adjust the feed rates accordingly. VERICUT’s optimization modules can make your programs more efficient, saving you time and money while extending your tool life and improving surface finish. They can also help you meet environmental regulations, by minimizing the amount of air pollution generated by your machining process.