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In the development process of modern manufacturing industry, "efficiency" and "precision" have long become the two core standards for measuring productivity and product quality. Especially in the fields of precision machining such as aerospace, automobile manufacturing, 3C electronics, etc., extremely high requirements are placed on the polishing finish and dimensional accuracy of the surface of parts. Although the traditional manual polishing process still has certain application value in certain specific scenarios, it generally has obvious disadvantages such as low efficiency, poor consistency, and difficult quality control. The application of robot guide handles, combined with force control technology, provides the industry with an efficient and precise polishing solution.

In the field of industrial manufacturing, robot polishing technology is highly favored for its high efficiency, precision and high product consistency, and has become an indispensable part of the production line. However, with the growing market demand for product diversity and personalization, traditional robot force control polishing systems often require professional technicians to make tedious adjustments. The complexity of programming the polished surface and the reliance on the teach pendant and point teaching further increase the difficulty of operation. This not only raises the technical threshold, but also leads to a lot of time consumption.

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In the wave of intelligent manufacturing, the guide handle developed by Dapkon is based on the robot dynamics engine and cutting-edge AI technology, and is designed to meet the challenges faced by current robot grinding technology:

Intuitive and intelligent debugging

The guide handle simplifies the robot teaching process through intuitive guidance and intelligent algorithms, making the operation more intuitive and easy to understand, and adapting to various complex grinding needs.

No need to adjust the teach pendant

The guide handle breaks the limitations of traditional robot teaching, freely adjusts the robot drag rate, simplifies the teaching process, and does not need to rely on the teach pendant for tedious adjustments.

Simplify programming knowledge requirements

Even technicians without programming background can quickly get started, greatly reducing the technical threshold.

Improve deployment efficiency

The robot teaching process design is optimized, which significantly shortens the time from installation to production and improves the overall deployment efficiency.

Powerful adaptability

The guide handle has strong adaptability, can quickly adapt to the latest models, and can be connected and used with current mainstream brand robots (Abb, Fanuc, Kuka, Keba and many domestic robot brands), with a response speed of up to 4 milliseconds and strong versatility.

In addition to simplifying teaching and improving the convenience of operation, it can also be combined with Dapkon Technology's flexible force control system to further improve the quality and efficiency of robot grinding. Through the force control system, the system can dynamically adjust the robot's movements to ensure constant contact force during processing and achieve stable and high-quality grinding effects.

Real-time force feedback, precise compensation

The flexible force control system is equipped with a high-precision force sensor at the end of the robot, which can accurately detect the tiny external force changes generated during the grinding process. The system's built-in force control algorithm transmits the perceived feedback signal to the controller in real time, automatically completes the compensation adjustment of force and position, ensures uniform force during the grinding process, and avoids local over-grinding or surface damage.

Adaptive to a variety of workpieces and materials

When facing a variety of materials (such as aluminum alloy, stainless steel, plastic, composite materials, etc.) and parts with complex geometric shapes, the flexible force control system can automatically adjust the output strategy and intelligently adapt to the surface characteristics of different workpieces. It is widely used in a variety of industrial grinding scenarios such as automotive lights, aviation parts, and 3C shells.

Reduce manual intervention and improve consistency

Compared with the traditional mode that relies on the operator's experience to judge the grinding force, the combination of guide handle + force control system realizes the real "automatic fine grinding", which can greatly reduce the impact of human factors on product consistency and improve the stability and repeatability of processing quality.

With the continuous advancement of Industry 4.0 and intelligent manufacturing, robot automation technology is constantly evolving towards higher intelligence and autonomy. The emergence of robot guide handles not only solves the three bottleneck problems of difficult deployment, maintenance and operation of traditional grinding robots, but also provides a low-threshold and high-efficiency automation upgrade path for manufacturing companies.

Especially today when the trend of multi-variety and small-batch manufacturing is becoming increasingly obvious, the guide handle has become an ideal solution for the "high-mix and low-batch" scenario in the era of intelligent manufacturing with its advantages of flexible operation and rapid deployment. Its deep integration with the flexible force control system has also further improved the automation level of complex parts processing, opening up a new situation for the refinement and intelligent development of grinding technology.

Dapkon is a high-quality intelligent flexible robot technology and product provider. We are committed to improving the efficiency of robot deployment by collaborating with industry partners such as polishing, assembly, gluing, and testing, empowering traditional robots, solving the pain points of difficult programming and complex deployment, and improving the efficiency of robot deployment through self-developed robot flexible control, multi-sensor fusion, and AI self-learning, combined with rich industry experience; at the same time, combining real-time data monitoring and force control perception, providing tool management functions such as consumable wear monitoring, compensation, and protection, and improving the utilization rate of consumables; improving production processes through the accumulation and self-learning of real-time robot operation data.

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