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Experimental Investigation on Dimensional Characteristics and Surface Morphology of Microchannels Fabricated on Smart Ceramic by DPSS Nd:YAG Laser

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Title Statement Experimental Investigation on Dimensional Characteristics and Surface Morphology of Microchannels Fabricated on Smart Ceramic by DPSS Nd:YAG Laser
 
Added Entry - Uncontrolled Name Panda, Samir Kumar; Department of Production Engineering, Veer Surendra Sai University of Technology, Burla 768018, India
Rout, Sweta ; Department of Mechanical Engineering, National Institute of Technology, Rourkela 769008, India
Panigrahi, Debasish ; Department of Mechanical Engineering, National Institute of Technology, Rourkela 769008, India
Dhupala, Debabrata ; Department of Production Engineering, Veer Surendra Sai University of Technology, Burla 768018, India
 
Uncontrolled Index Term LMMA, Microchannels, BaTiO3, Smart-ceramic, MOO multi-objective optimization
 
Summary, etc. Smart ceramic material like barium titanate (BaTiO3) is in high demand in today's highly competitive precision industries; as it has numerous applications in electronic, biomedical, and aerospace engineering.In this endeavor, laser micro-milling approach (LMMA) hasbeenattempted with a suitable experimental design plan; to scrutinize the laser influencing variables against the LMMA outcomes during the processing of BaTiO3 throughout the fabrication of microchannels. This article presents an investigational act on the fabricated micro-channels to discern the impacts of LMMA parameters (gas pressure, scan strategy, current and scanning speed) against the dimensional (like deviations in channel upper and lower width) and surface characteristics of the surface feature. The surface morphology study hasbeen accomplished with the support of energy dispersive spectroscopy (EDS) in conjunction with scanning electron microscope (SEM) to scrutinize the elemental alterations and surface characteristics at the zone of laser ablation. A statistical multi-objective optimization (MOO) technique known as grey relational analysis (GRA) has beenused later in this paper to predict an optimal parametric setting. The MOO results’ efficacy has been validated further in the corroboration assessments, the predicted optimal solutions have been obtained with an error of 4.57 %, 3.89 % and 4.88 % for W-RCL, LWD and UWD respectively.
 
Publication, Distribution, Etc. Indian Journal of Engineering and Materials Sciences (IJEMS)
2023-02-24 00:29:07
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/IJEMS/article/view/70315
 
Data Source Entry Indian Journal of Engineering and Materials Sciences (IJEMS); ##issue.vol## 29, ##issue.no## 6 (2022): IJEMS-DECEMBER 2022
 
Language Note en
 
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