Journal ArticleDOI
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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Journal ArticleDOI
Polarization-controlled microgroove arrays induced by femtosecond laser pulses
Erik M. Garcell,Chunlei Guo +1 more
TL;DR: In this paper, the authors demonstrate the creation of an array of microgroove arrays within a single laser spot on metals, which can orient at any angle up to 30° from the plane of the laser beam's propagation.
Book ChapterDOI
Virtual Production Intelligence (VPI)
Sabina Jeschke,Achim Kampker,Torsten Kuhlen,Günther Schuh,Wolfgang Schulz,Toufik Al Khawli,Christian Büscher,Urs Eppelt,Sascha Gebhardt,Kai Kreisköther,Sebastian Pick,Rudolf Reinhard,Hasan Tercan,Julian Utsch,Hanno Voet +14 more
TL;DR: The research area Virtual Production Intelligence (VPI) focuses on the integrated support of collaborative planning processes for production systems and products that provide the integration and interactive analysis of emerging, mostly heterogeneous planning information.
Book ChapterDOI
Advanced Machining Processes
Manas Das,Uday S. Dixit +1 more
TL;DR: Advanced machining processes are the material-removing processes different from conventional machining, in which a well-guided wedge-shaped tool removes the material in the form of chips by producing contact stresses as mentioned in this paper.
Journal ArticleDOI
Assessment of Mechanical Properties, Residual Stresses and Diffusible Hydrogen of Longitudinal Weld in Electric Water Heater Tanks
TL;DR: In this paper, the authors investigated the structural properties of the longitudinal weld of a tank and showed that both the micro-hardness and tensile strength of the welds are higher than the base metal.
Optimization of Laser Micromachining Regimes (Revi ew)
V. P. Bessmeltsev,E. D. Bulushev +1 more
TL;DR: Experimental methods based on statistical algorithms of data processing are being developed now for specific features of application of these algorithms are considered.
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).