2nd KOCAELI SCIENCE CONGRESS (KOSC-2025), Kocaeli, Türkiye, 20 - 23 Kasım 2025, ss.1-5, (Tam Metin Bildiri)
To produce a surface morphology with a minimum
friction coefficient and maximal valley depth (Sv), this study explores the
optimization of laser surface texturing parameters on ST52 structural steel. To
determine the physical relationship between frictional behavior and surface
topography, controlled adjustments in laser power, scanning area ratio, and
pattern shape (square, diamond, hexagonal, and circular) were used to create
micron-scale roughness. The resulting surfaces were then examined. The Taguchi
method-based experimental design made it possible to identify statistically
significant variables affecting Sv and the coefficient of friction. The
findings showed that pattern shape (33.58%) and scanning area (30.66%) were the
next most significant contributors to frictional performance, after laser power
(35.75%).
The maximum Sv value of about 1100 µm, which corresponds to the lowest
friction coefficient, was generated by the ideal combination of diamond
pattern, 20% scanning area, and 40 W laser power. These results can be
explained by the nonlinear interaction between transient heat transport in the
substrate and localized energy absorption, which controls the dynamics of
resolidification and ablation depth. While excessive thermal input encourages
surface smoothing through viscous flow, lower power levels favor deeper micro-valley
formation due to less melt convection. The resulting high-Sv topology reduces
real contact area and improves lubricant retention, which lowers interfacial
shear stresses. These results show that laser texturing is a potent method for
creating sophisticated tribological surfaces with great efficiency and
durability because careful manipulation of laser parameters allows
deterministic control of surface energy, frictional dissipation, and
topographical anisotropy.This abstract presents a comprehensive study of [your
mathematical topic]. We investigate the fundamental properties of [mathematical
objects/concepts] and establish new theoretical results that extend previous
work in the field. Our main contributions include: (1) the development of a
novel mathematical framework for [specific problem], (2) the proof of [specific
theorem/result], and (3) applications to [practical applications].