Sirius Scientists Teach Robots to Mill Complex Parts Faster and More Accurately

New system adapts processing speed in real time and reduces the risk of tool breakage

Russian researchers from the Sirius University of Science and Technology have developed and patented a system that allows industrial robots to automatically adjust milling speed depending on material resistance.

The technology solves a key problem in robotic processing: due to the deformation of manipulator joints during operation, vibrations and trajectory deviations occur. The more complex the part and the harder the material, the stronger this effect manifests itself, leading to tool wear, defects, and reduced accuracy.

The authors of the development created an algorithm that layer-by-layer analyzes three-dimensional models of workpieces and calculates the trajectory of the milling cutter – in concentric contours, gradually deepening into the material. In real time, the system reads data from a force sensor integrated into the manipulator and adjusts the processing speed when resistance changes.

Danil Kulminsky, an associate professor at Sirius, explained that the system will be most in demand for processing large-sized parts, such as reactors for nuclear power plants, as well as in small-batch production with frequent changes in technological processes. The application of the technology does not require special skills from the operator and can be implemented in any modern production.

The development is especially relevant for aircraft manufacturing, shipbuilding, and the production of complex composite parts, where accuracy requirements are particularly high, and manual adjustment takes a lot of time. The technology has already been patented and is ready for industrial implementation.

Read more on the topic: