scispace - formally typeset
Journal ArticleDOI

Laser beam machining—A review

Reads0
Chats0
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.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Experimental study on rotary ultrasonic machining of alumina ceramic: Microstructure analysis and multi-response optimization:

TL;DR: In this article, the excellent and superior properties of alumina ceramic make it a one of the highly demanded advanced ceramics in the present competitive scenario of manufacturing and industrial applications.
Journal ArticleDOI

Thermal defect characterization and strain distribution of CFRP laminate with open hole following fiber laser cutting process

TL;DR: In this article, the influence of processing parameters on machined hole quality and quasi-static tensile behavior of unidirectional CFRP laminate with open hole (6.0 mm in diameter) following fiber laser cutting process was studied.
Journal ArticleDOI

CO2 Laser Cutting of Alloy Steels Using N2 Assist Gas

TL;DR: In this paper, the authors defined mathematical models for surface roughness prediction (Ra, μm) and width of heat affected zone (HAZ, mm) during laser cutting of alloy steels 1.4571 and 1.4828 with nitrogen as assist gas.
Journal ArticleDOI

Open hole fatigue testing of laser machined MD-CFRPs

TL;DR: In this paper, the effect of fiber laser machining (FLM) on multi-directional carbon fiber reinforced plastics (MD-CFRP) with [0/90/45/−45]s lay-up was studied under tension-tension fatigue with stress ratio R = 0.1 for an open hole fatigue (OHF) test configuration.
Journal ArticleDOI

Automated cutting system to obtain the stigmas of the saffron flower

TL;DR: In this paper, the authors presented a new system or machine for automated cutting of saffron flowers in order to obtain their stigmas using a vision system to obtain, using image analysis, the optimal cutting point.
References
More filters
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).
Related Papers (5)