Digital Prometheus: Barnaul School Students Are Scanning the Future of Industrial Manufacturing
Students from the Faculty of Information Technology at Altayskiy Gosudarstvennyy Tekhnicheskiy Universitet imeni Polzunova (Polzunov Altai State Technical University, AltSTU) are writing code alongside major regional manufacturers – software that directly improves the efficiency of real industrial plants.
On the eve of Russian Students’ Day, Altai Krai Governor Viktor Tomenko visited AltSTU. The university has plenty to demonstrate. In its laboratories, researchers and students are developing projects implemented together with industrial enterprises across the region.
“Once again, I was impressed by their ideas and developments. They model unmanned aerial vehicles, help our enterprises solve pressing challenges – including import substitution in tire manufacturing – and work on many other projects. These are true heirs of Polzunov and the university that bears his name,” Viktor Tomenko said after visiting the campus.
Engineering the Future with the Nasledniki Polzunova
How can a teenager with a 3D scanner effectively replace an entire quality-control department and help create a component for an industrial packaging line? The answer is straightforward when reverse engineering becomes part of the workflow. Students from the Faculty of Information Technology at AltSTU work directly with major regional manufacturers, writing code that optimizes real factory operations. Yet the most remarkable part of the story lies elsewhere.
At the center of these projects are school students – participants in the Nasledniki Polzunova (Heirs of Polzunov) engineering program. These teenagers already work with hardware systems, digital tools and real industrial requirements from corporate partners. In the past, creating documentation for a complex industrial component required engineers to spend hours measuring dimensions with micrometers and rulers before calculating parameters manually. Today, the process at the Barnaul Polytechnic looks entirely different.
Pursuing Engineering Precision
Standing in front of a professional 3D scanner is Stepan Timchenko, a student from Lyceum No. 129. The device has no concept of complexity. It can digitize objects as small as a piece of jewelry or as large as a truck-sized industrial component.
Stepan is a future engineer who currently handles what might appear to be routine work – collecting measurement data and filling spreadsheets. Yet this foundational work forms the basis for IT solutions that factories later deploy in production environments. In one project, the university received a request from the company Tonar Plus. The enterprise needed full technical documentation for a component used in a packaging line. The geometry was complex and no design files existed. The solution involved 3D scanning and reverse engineering.
For the scanner to capture volumetric objects accurately, engineers first create a coordinate system using special adhesive markers placed around the object. Once these markers are arranged and the software launches, the system generates a complete 3D model on screen in roughly fifteen minutes. Previously, the same process could take several days or even an entire week.
But this is only the first stage. The polygonal mesh produced by the scanner is essentially a raw digital cast. To manufacture the part using CNC equipment, engineers convert it into a mathematically precise solid model. At this stage, the software reveals another powerful capability – it can detect microscopic deviations from the ideal design. If engineers set a tolerance of 0.02 millimeters, surfaces that match the ideal geometry appear in green, areas exceeding the tolerance turn yellow and cooler tones indicate negative deviations. The result is a built-in quality control tool. Any discrepancy becomes immediately visible on the screen, allowing engineers to determine how closely a finished component matches the digital model.
From Tochka Kipeniya to Industrial Production
Russian technical universities are increasingly incorporating real industrial challenges into their educational programs. Digital modeling projects today often originate directly from factory requests. Universities are restructuring their teaching approach so that students not only understand theory but also apply it immediately in real production environments.
A major launchpad for hundreds of young researchers is the annual Shag v Budushchee (Step Into the Future) conference held at AltSTU. The value of this tradition lies in its continuity. Participants who once presented their first research projects there now return with their own students. The platform brings together talented young engineers to tackle challenges ranging from mechanical engineering to medicine. It is more than a competition. It functions as a talent selection mechanism where school students and university researchers receive feedback from professors and industry representatives from the very beginning.
Similar trends are emerging worldwide. Educational initiatives increasingly encourage students to assemble sensors and analyze real datasets. The core methodology remains the same everywhere – provide learners with real tools and give them real problems to solve.
Across Russia, engineering clubs, technology parks and Tochki Kipeniya (Boiling Points innovation hubs) are expanding rapidly. These programs cultivate precisely the competencies that modern industry demands, from rapid prototyping to intellectual property development.
From Classroom Tasks to Industrial Software
While Stepan scans industrial components, researchers and students at AltSTU are tackling challenges at an entirely different level of complexity. One of the most striking examples came from the Altai Tire Combine. The company needed a computer-aided tire design system capable of running virtual performance simulations. After Western software vendors left the market, a full-cycle alternative was unavailable.
The system developed by AltSTU students and faculty dramatically improved design precision while accelerating engineering workflows by a factor of 150.
Students, supervised by professional engineers, manually entered thousands of coefficients into the system’s database. The process took roughly two weeks and required painstaking attention to detail. The results exceeded expectations. Tasks that previously required engineers from one to four days now take only minutes. The software does more than produce technical drawings – it eliminates large volumes of routine documentation work during the earliest design stages.
This project also illustrates the broader principle behind the university’s approach. A teenager scanning industrial components, a student entering technical parameters and a professor developing specialized algorithms all contribute to the same objective – making factories operate faster, more efficiently and with greater engineering precision.
