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Laser beam machining—A review

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TLDR
The experimental and theoretical studies of LBM show that process performance can be improved considerably by proper selection of laser parameters, material parameters and operating parameters, and the trend for future research is outlined.
Abstract
Laser beam machining (LBM) is one of the most widely used thermal energy based non-contact type advance machining process which can be applied for almost whole range of materials. Laser beam is focussed for melting and vaporizing the unwanted material from the parent material. It is suitable for geometrically complex profile cutting and making miniature holes in sheetmetal. Among various type of lasers used for machining in industries, CO2 and Nd:YAG lasers are most established. In recent years, researchers have explored a number of ways to improve the LBM process performance by analysing the different factors that affect the quality characteristics. The experimental and theoretical studies show that process performance can be improved considerably by proper selection of laser parameters, material parameters and operating parameters. This paper reviews the research work carried out so far in the area of LBM of different materials and shapes. It reports about the experimental and theoretical studies of LBM to improve the process performance. Several modelling and optimization techniques for the determination of optimum laser beam cutting condition have been critically examined. The last part of this paper discusses the LBM developments and outlines the trend for future research.

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Citations
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Journal ArticleDOI

Overcoming the tradeoff between confinement and focal distance using virtual ultrasonic optical waveguides

TL;DR: It is demonstrated that virtual ultrasonically sculpted gradient-index (GRIN) optical waveguides can be formed in the target medium to steer light without disturbing the medium and can relay an externally focused Gaussian beam of light through the medium beyond the focal distance of a single external physical lens.
Journal ArticleDOI

Inverse analysis for the identification of temporal and spatial characteristics of a short super-Gaussian laser pulse interacting with a solid plate

TL;DR: In this paper, the results of numerical experiments verifying a novel setup for laser beam profiling are presented, where the experimental setup is based on infrared thermography and includes laser beam illuminating a thin metal plate, which allows to determine four parameters of the short high-power laser pulse, namely the Super-Gaussian profile coefficient, laser power, pulse start time and duration.

E-NSGA-II for machining process parameters optimization

TL;DR: In this paper, a multi objective genetic algorithm (MoGA) was used to optimize the machining process and the results were compared with the previous studies and statistical analyses are performed to describe the significant of techniques proposed.
Journal ArticleDOI

Magnetothermoelastic vibrations on a viscoelastic microbeam subjected to a laser heat source

TL;DR: In this paper, the authors introduced a new model for describing the behavior of thermoviscoelastic microbeams considering the effects of temperature change and the longitudinal magnetic field, which is derived based on the Euler-Bernoulli beam theory, Kelvin-Voigt model of viscosity, generalized thermoelasticity, and the classical Maxwell equations.
Journal ArticleDOI

Potassium titanyl phosphate laser tissue ablation: development and experimental validation of a new numerical model.

TL;DR: A two dimensional computational model based on the control volume finite difference and the enthalpy method that was able to capture the general trends experimentally observed in terms of ablation and coagulation areas and the ablation rate is a useful first step in the mechanistic prediction of PVP based BPH laser tissue ablation.
References
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Journal Article

The Design and Analysis of Experiments

TL;DR: This book by a teacher of statistics (as well as a consultant for "experimenters") is a comprehensive study of the philosophical background for the statistical design of experiment.
Book

Quality Engineering Using Robust Design

TL;DR: This book offers a complete blueprint for structuring projects to achieve rapid completion with high engineering productivity during the research and development phase to ensure that high quality products can be made quickly and at the lowest possible cost.
Journal ArticleDOI

Predicting surface roughness in machining: a review

TL;DR: In this article, the authors present the various methodologies and practices that are being employed for the prediction of surface roughness, including machining theory, experimental investigation, designed experiments and artificial intelligence (AI).
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