PNIPU: Adaptive control algorithm to improve the quality of metalworking

Main article: Artificial intelligence in the production sector

2025: Development of a neural network algorithm that improves the quality of turning

Scientists Perm Polytechnic have developed that improves the neural network algorithm quality of turning. The university announced this on February 20, 2025.

For metal machining, enterprises use special machines that perform cutting, turning and grinding operations according to the specified programs. However, despite automation of the process, human participation in the control of the machine still remains. Often, processing modes have to be manually adjusted due to the changing properties of both the tool and the product during production. For February 2-25, it is actively developing and implementing in industry, the so-called adaptive control of machines, when the processing process automatically adapts to changing conditions. But for its implementation and stable operation, special mathematical support is required. Perm Polytechnic Scientists developed an adaptive control algorithm based on artificial intelligence. Its introduction into industrial activity will increase the productivity and quality of metalworking in Russia.