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

Study of hole characteristics in Laser Trepan Drilling of ZTA

TL;DR: In this article, the effect of significant process parameters on hole characteristics such as hole circularity at top and bottom, hole taper, and spatter size have been studied and the optimum ranges of these parameters have been suggested on the basis of empirical modeling and optimization.
Journal ArticleDOI

Multi-objective optimization of fiber laser cutting based on generalized regression neural network and non-dominated sorting genetic algorithm

TL;DR: An integrated model based on generalized regression neural network and non-dominated sorting genetic algorithm (NSGAII) with elite strategy is proposed to predict and optimize the quality characteristics of fiber laser cutting stainless steel.
Journal ArticleDOI

On-machine texturing of PCD micro-tools for dry micro-slot grinding of BK7 glass

TL;DR: In this paper, the end faces of polycrystalline diamond (PCD) micro-tools have been on-machine textured using micro electro-discharge machining (micro-EDM) process.
Journal ArticleDOI

A robust methodology for optimizing the topology and the learning parameters of an ANN for accurate predictions of laser-cut edges surface roughness

TL;DR: A methodology is presented for the optimization of an FFBP-NN and the application of the Taguchi Design of Experiments (TDE) to predict the surface roughness in various cut depths during laser cutting of thin thermoplastic plates.
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)