Journal ArticleDOI
Laser beam machining—A review
Avanish Kumar Dubey,Vinod Yadava +1 more
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
Citations
More filters
Laser beam machining of commercially pure titanium: influence of process parameters on surface roughness
TL;DR: In this article, the relation between process parameters and machined surface quality characteristics is experimentally studied applying the five axis highly dynamic laser precision machining centre Lasertec 80 Shape equiped with the pulsed ytterbium fiber laser (wave lenght 1064 nm, maximal average output power 100 W).
Book ChapterDOI
Experimental Investigations of Abrasive Waterjet Machining Parameters on Titanium Alloy Ti-6Al-4V Using RSM and Evolutionary Computational Techniques
A. Gnanavelbabu,P. Saravanan +1 more
TL;DR: In this article, an experimental investigation has been carried out on the Abrasive Water Jet Machining (AWJM) process for the machining of Grade 5 Titanium alloy (Ti-6Al-4V) using the Response Surface Methodology (RSM).
Journal ArticleDOI
Analysis of the optimisation of parameters for the laser machining of timber
Chyn-Shu Deng,Kuo-Lun Hsia +1 more
TL;DR: In this paper, a fuzzy-based taguchi method was used to optimise the parameters for the CO2 laser machining of timber, and an orthogonal array, the signal-to-noise (S/N) ratio, and the analysis of variance (ANOVA) were employed with reference to process factors.
Journal ArticleDOI
Laser machining of die steel (En-31): an experimental investigation to study the effect of process parameters
Amit R. Patel,Sanket N. Bhavsar +1 more
TL;DR: Laser beam machining (LBM) is a noncontact type advance machining process and can be applied to almost all metallic and non-metallic range of materials.
Proceedings ArticleDOI
Enabling Wettable Flank Technology: Insights, Challenges and Perspectives
TL;DR: The diverse technologies explored to realize the wettable flank technology in a QFN platform, including tin immersion plating, ultra-short pulsed laser ablation technology, and laser guided-surface responsive singulation system were explored and highlight the potential of these technologies in achieving the desired geometry in QFN packages.
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).