International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

This paper investigates the efficacy of generative artificial intelligence in automating the creation of technical documentation for non-destructive testing (NDT). The research focuses on a comparative performance analysis between a specialized AI agent, built on the Gemini 3.1 Flash platform, and certified human NDT Level 2 experts. A comparative cross-sectional study was conducted using three distinct industrial forging products. Both the AI agent and two human experts were tasked with generating Visual Testing (VT) work instructions based on a 14-point framework derived from the STN EN 13018 and ISO 9712 standards. The outputs were evaluated by a blind-reviewing Level 3 expert using a modified HEAT (Expertise, Accuracy, Trust) rubric, focusing on regulatory compliance, technical precision, and readability. he results demonstrate that the AI agent achieved a 98.4% reduction in generation time, averaging 54.5 seconds per instruction compared to 57.3 minutes for human experts. While the AI agent consistently outperformed humans in text clarity and structural consistency (scoring 5.0 in usability), it exhibited “conservative technical hallucinations,” such as prescribing unnecessary magnification tools and incorrect defect-coding standards (ISO 6520-1 instead of CSN 421240). Furthermore, cloud-based API instabilities (HTTP 503 errors) were identified as a critical reliability risk for real-time industrial deployment. The study concludes that while AI agents are highly effective as rapid drafting tools, they cannot currently replace certified personnel due to lack of situational engineering judgment and legal accountability. A “Human-in-the-loop” model remains mandatory, where a certified Level 2 or 3 professional must verify and approve all AI-generated NDT documentation to ensure industrial safety and regulatory compliance…

The article presents the results of research aimed at assessing the quality of forgings depending on the forging parameters used. The forging and subsequent heat treatment processes revealed the occurrence of cracks in the forgings. The article examines the possible causes of cracks, which can be caused by carburizing annealing and loss of plasticity during stress relaxation. Tool wear and damage during forging also affect the formation of cracks. These factors were identified as key factors contributing to the formation of non-metallic oxide inclusions, the transfer of surface defects and the formation of lamellar propagation during subsequent heat treatment. The findings highlight the influence of tool conditions and process parameters on the quality and reliability of steel forgings..