OPTIMIZATION OF LASER PARAMETERS USING NSGA-II FOR THE GENERATION OF BIOINSPIRED SURFACE

Author:

JAGANNATHAN PREETHA1,TAMANG SANTOSH KUMAR2,THANIGAIVELAN R.3,JAGADEESHA T.4

Affiliation:

1. Artificial Intelligence and Data Science, Kongunadu College of Engineering and Technology (Autonomous), Tholurpatti 621215, India

2. Department of Mechanical Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli 791109, Arunachal Pradesh, India

3. Department Mechanical Engineering, AKT Memorial College of Engineering and Technology, Kallakurichi 606213, India

4. Department Mechanical Engineering, National Institute of Technology Calicut 673601, India

Abstract

The necessity for innovative biomaterials has been growing recently due to the rising cost of materials for intricate biomedical equipment. An important tactic to improve critical attributes like hemocompatibility, osseointegration potential, corrosion resistance, and antibacterial capabilities is surface modification. In this paper, an investigation has been made in the field of laser surface modification and the complex interactions between laser parameters and output performance metrics, such as contact angle and surface roughness. Surface modification by laser has been successful and, in this research, the laser parameters such as laser energy (Watts), standoff distance(mm), and frequency (kHz) along with dimple distance on the surface ([Formula: see text]m) were considered on the output performance namely surface roughness in “[Formula: see text]m” and contact angle in “degree”. The experiment has been carried out using the L16 orthogonal array to interpret the complex correlations between these factors and the resulting surface features. Non-dominated sorting genetic algorithm II (NSGA-II) has successfully navigated the complex parameter space and found the optimal combinations that yield the intended outcomes. The results show how important dimple distance and laser frequency are in creating hydrophobic surfaces, as well as how much of an impact they have on surface properties. It has been discovered that higher frequencies and longer standoff distances specifically reduce surface roughness, which is a crucial component in ensuring enhanced biomaterial performance. The result shows that the dimple distance and frequency of the laser have a significant effect on the development of hydrophobic surfaces. Moreover, high frequency and more standoff distance reduce the surface roughness. The predicted combination of laser parameters as per the NSGA-II is 102.91[Formula: see text][Formula: see text]m, 33.35[Formula: see text]W, 223.12[Formula: see text]mm, 50.01[Formula: see text]kHz, and gives a surface roughness of 0.86[Formula: see text][Formula: see text]m and contact angle of 158.83. In essence, this study not only sheds light on the intricate dynamics governing laser-based surface modification but also paves the way for the design and development of advanced biomaterials with tailored surface properties, poised to revolutionize biomedical applications.

Publisher

World Scientific Pub Co Pte Ltd

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