Papers
1
Total Citations
7
H-Index
1
About
Ruslan Zhuk is a researcher focused on the computational modeling and optimization of advanced manufacturing processes, with a particular emphasis on laser cladding and surface engineering. His work bridges materials science and statistical design, aiming to make industrial processes more efficient and cost-effective. Zhuk’s most significant contribution lies in the application of regression designs to simulate laser cladding, a complex process influenced by numerous parameters like laser beam characteristics, powder properties, and base material treatment. By developing statistical models that predict optimal working conditions, he has provided a cheaper and faster alternative to costly experimental trials, enabling more precise control over coating quality and process stability. His foundational paper, “Application of Regression Designs for Simulation of Laser Cladding” (2012), has garnered 7 citations, serving as a practical resource for researchers and engineers seeking data-driven approaches to process optimization. Zhuk’s work is particularly notable for its emphasis on reducing trial-and-error in manufacturing, offering a systematic methodology that enhances reproducibility and efficiency. His research continues to inform the development of robust simulation tools for laser-based additive and surface treatment technologies.
Research Focus
Key Achievements
Top Papers
- 1Application of Regression Designs for Simulation of Laser Cladding7 citations · 2012