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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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Ultrafast Laser Polishing for Optical Fabrication

TL;DR: In this paper, a high-precision, flexible, non-contact methodology for optics polishing using femtosecond ultrafast lasers is proposed to precisely remove material while minimizing the onset of detrimental thermal and structural surface artifacts such as melting and oxidation.
DissertationDOI

Study of miniature features generated by backside patterned texturing in precision diamond machining

TL;DR: I ACKNOWLEDGEMENT IV TABLE OF CONTENTS V Table of Contents V List OF TABLES VI List OF FIGURES VII List of FIGURES VIII List of ABBREVIATIONS X List of Symbols X List OF SYMBOLS XVII CHAPTER 1
Journal Article

Numerical Simulation of Heat Affected Zone Microstructure During Laser Surface Melting

TL;DR: In this paper, the effect of initial grain size on final microstructure of the heat affected zone in laser surface melting process has been studied using phase field simulation technique and the results showed that the change in initial grain sizes can lead to a change in the size of the Heat affected zone and grain topology in this area.
Journal ArticleDOI

Development of an electrochemical micromachining instrument for the confined etching techniques.

TL;DR: With the use of the confined etching techniques, a microlens array and a curvilinear ridge microstructure are successfully fabricated with high accuracy, thus demonstrating the promising performance of the proposed micromachining instrument.
Proceedings Article

Linear energy control of laser drilling and its application for TFT-LCD bright pixel repairing

TL;DR: In this article, a linear energy compensation method was investigated and designed by using a measurement of laser energy output that provided a stable linear energy laser for processes, which could prevent taking the case apart from module and fabricate that increases the efficiency in production.
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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