Optimization of Nd: YAG Laser Marking of Alumina Ceramic Using RSM And ANN

Journal Article · Mon Jan 17 00:00:00 EST 2011 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.3552420· OSTI ID:21510166

Peter, Josephine; Doloi, B; Bhattacharyya, B ^[1]

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1. Production Engineering Department, Jadavpur University, Kolkata (India)

The present research papers deals with the artificial neural network (ANN) and the response surface methodology (RSM) based mathematical modeling and also an optimization analysis on marking characteristics on alumina ceramic. The experiments have been planned and carried out based on Design of Experiment (DOE). It also analyses the influence of the major laser marking process parameters and the optimal combination of laser marking process parametric setting has been obtained. The output of the RSM optimal data is validated through experimentation and ANN predictive model. A good agreement is observed between the results based on ANN predictive model and actual experimental observations.

• OSTI ID: 21510166
• Journal Information: AIP Conference Proceedings, Vol. 1315, Issue 1; Conference: AMPT2010: International conference on advances in materials and processing technologies, Paris (France), 24-27 Oct 2010; Other Information: DOI: 10.1063/1.3552420; (c) 2010 American Institute of Physics; ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
ALUMINIUM OXIDES
ARTIFICIAL INTELLIGENCE
CERAMICS
DESIGN
MATHEMATICAL MODELS
NEODYMIUM LASERS
NEURAL NETWORKS
OPTIMIZATION
SIMULATION
SURFACES
ALUMINIUM COMPOUNDS
CHALCOGENIDES
LASERS
OXIDES
OXYGEN COMPOUNDS
SOLID STATE LASERS