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Vol 14, 2025
Pages: 303 - 310
Professional scientific paper
Engineering, Technology and Materials Editor: Darjana Sredić
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Received: 16.09.2025. >> Accepted: 30.10.2025. >> Published: 21.11.2025. Professional scientific paper Engineering, Technology and Materials Editor: Darjana Sredić

ARTIFICAL INTELLIGENCE SUPPORTED APPLICATION FOR EXPLOSIVE CLADDING PROCESS SPECIFICATION

By
Zoltán Nyikes ,
Zoltán Nyikes
Contact Zoltán Nyikes

DEPARTMENT OF INFORMATICS, Milton Friedman University, , Budapest , Hungary

Tünde Anna Kovács
Tünde Anna Kovács

Faculty of Mechanical and Safety Engineering,, Óbuda University , Budapest , Hungary

Abstract

Explosive cladding is becoming increasingly widespread in the field of metalworking
technologies. The advantage of this technology is that it cannot be combined with other
welding technologies, and dissimilar metals can be joined by cohesion joint. The wide range
of materials and the different properties of metallic materials (modulus of elasticity, tensile
strength, hardness, ductility, etc.) are the reasons for the difficulty of determining the welding
process specification. In addition, many explosives (with blast velocities below the speed of
sound) are suitable for creating the appropriate bond strength. AI is a good tool for several
applications and process parameter calculations. The innovative application supported by AI
can help the welding engineer in the explosive welding process parameter determinations.
For the welding process, the engineer chooses suitable metal and explosive materials. AI,
based on the explosive material parameters and the metallic materials' mechanical properties,
calculate the explosive welding setup parameters. In this article, the algorithm of the
application and the theoretical and practical elements of the technological design are
presented in detail. The developed application facilitates the technological design of the
otherwise complex blast welding process.

References

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