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Journal ArticleDOI

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

Optimization of laser micromachining regimes

TL;DR: Determination of optimal machining regimes by methods of mathematical modeling is a difficult task; therefore, experimental methods based on statistical algorithms of data processing are being developed now.
Journal ArticleDOI

Experimental Study of Macro and Microgeometric Defects in Drilled Carbon Fiber Reinforced Plastics by Laser Beam Machining

TL;DR: In this work, variance analysis is used to study the influence of scanning speed and frequency on macro geometric parameters, surface quality, and defects (taper and heat affected zone) in the wall of the drill.
Journal ArticleDOI

Study and optimization of recast layer thickness and surface quality in laser trepan drilling of ZTA

TL;DR: In this article, the laser trepan drilling (laser hole cutting) of 6.0mm thick ZTA without preheating with the aim to optimize recast layer thickness, microcrack width on hole surface, and surface roughness was investigated.
Journal ArticleDOI

Prediction of geometric quality characteristics during laser cutting of Inconel-718 sheet using statistical approach

TL;DR: In this paper, a robust prediction model was developed to suggest the desired range of cutting parameters for accomplishing better cutting quality, precision, and geometrical accuracy for Inconel-718 with accuracy and precision.
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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