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Laser beam machining—A review
Avanish Kumar Dubey,Vinod Yadava +1 more
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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.read more
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A review on the importance of surface coating of micro/nano-mold in micro/nano-molding processes
TL;DR: In this paper, the physical, mechanical and tribological properties of various surface coatings and their impact on the replication efficiency and lifetime of micro/nano-molds that are used in micro-nano hot-embossing and injection molding processes are discussed.
Journal ArticleDOI
Laser beam machining of carbon fiber reinforced composites: a review
TL;DR: In this article, a review of laser beam machining of carbon fiber reinforced polymer (CFRP) composites is presented, where the authors report the experimental and theoretical studies covering the process accuracy in terms of kerf width, kerf depth and edge quality.
Journal ArticleDOI
Laser Ablation of Polymers: A Review
TL;DR: Laser Ablation (LA) has become a noteworthy approach to achieve different functional structures in engineering, chemistry, biological, medical and other fields as discussed by the authors, which employs a pulsed laser to remove materials from a substrate for generating micro/nano structures.
Journal ArticleDOI
A review on cutting of industrial ceramic materials
Rahul Rakshit,Alok Kumar Das +1 more
TL;DR: In this paper, an elaborate literature review on both non-conventional and hybrid machining/cutting techniques has been carried out for a better understanding of machinability and surface integrity of ceramic materials.
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Approach to prediction of laser cutting quality by employing fuzzy expert system
TL;DR: It shows that the proposed fuzzy logic model can be used to predict the surface roughness and dross inclusion of carbon dioxide (CO2) laser cutting process for Incoloy?
References
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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.
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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).