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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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Journal ArticleDOI

Research on the Method of Laser Trimming to Reduce the Mode Coupling Error of Micro-Machined Vibratory Gyroscopes

TL;DR: In this article, the formation mechanism of mode coupling error for a micro-machined vibratory gyroscope and certified the result studied by ANSYS analysis was investigated. And the laser trimming method on the basis of the phase relationship between mode coupling errors signal and driving signal could effectively degrade the error.
Book ChapterDOI

Laser surface texturing as a finishing process for aerospace alloys

TL;DR: In this article, the authors provide comprehensive information on LST-based finishing of various aerospace alloys. But, they do not provide a detailed analysis of the parameters and features involved in irradiated surface development.
Journal ArticleDOI

Improvements in the Microstructure and Mechanical Properties of Aluminium Alloys Using Ultrasonic-Assisted Laser Welding

TL;DR: In this article , the process of applying ultrasonic vibrations to the molten pool aluminium alloy AA6082 to improve both its microstructure and mechanical properties was investigated to assess the sonication effect in the ultrasonic band 20-40 kHz.
Journal ArticleDOI

KrF excimer laser precision machining of hard and brittle ceramic biomaterials.

TL;DR: KrF excimer laser precision machining of porous hard-brittle ceramic biomaterials was studied to find a suitable way of machining the materials into various desired shapes and sizes without distorting their intrinsic structure and porosity.

Integração de um sistema de impressão 3D em uma arquitetura modular de posicionamento cartesiano

TL;DR: It is concluded that the proposed system enables automation of a production process as 3D printing and that the final characteristics obtained are favorable for use in other processes.
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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