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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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Review on the machining characteristics and research prospects of conventional microscale machining operations

TL;DR: The literature is filled with works done by researchers working in this domain this paper, and a significant contribution comes from the works which have been published during the period 1998-2014, which have primarily been on conventional and non-conventional micromachining techniques.
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Development of high performance moving-coil linear compressors for space Stirling-type pulse tube cryocoolers

TL;DR: In this article, a review of the recent development of moving-coil linear compressors for space Stirling-type pulse tube cryocoolers in National Laboratory for Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences is presented.
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Hybrid laser precision engineering of transparent hard materials: challenges, solutions and applications.

TL;DR: In this paper, the basic principles and characteristics of these hybrid laser technologies are reviewed, how these technologies are used to precisely process transparent hard materials, and their recent advancements are introduced.
Journal ArticleDOI

Enhancing material performance through laser surface texturing: a review

TL;DR: In this article, the authors focus on laser technology because it generates the most controllable and precise geometries, and this technique is environmentally friendly because it does not utilise any chemical reagent, nor does it produce significant waste.
Journal ArticleDOI

Modeling and optimization of kerf taper and surface roughness in laser cutting of titanium alloy sheet

TL;DR: In this paper, a hybrid approach of neural network and genetic algorithm has been proposed and applied for the optimization of different quality characteristics of titanium alloy sheet (Ti-6Al-4V) with the aim to improve geometrical accuracy and surface quality by minimizing the kerf taper and surface roughness.
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.
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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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