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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Evaluation of advanced machining processes performance on filler-loaded polymeric composites: a state-of-the-art review
R. K. Thakur,Kalyan Singh +1 more
TL;DR: In this paper, the authors present research work, carried out on advanced machining methods, such as abrasive water jet and laser machining of filler-doped polymeric composite materials.
Journal ArticleDOI
Analysis of correlations of multiple - performance characteristics for optimization of CO2 laser nitrogen cutting of AISI 304 stainless steel
TL;DR: In this article, an attempt has been made to develop mathematical models in order to relate laser cutting parameters such as the laser power, cutting speed, assist gas pressure and focus position, and cut quality characteristics such as surface roughness, kerf width and width of heat affected zone (HAZ).
Journal ArticleDOI
Photomechanical effect on Type I collagen using pulsed diode laser.
Gu-In Jung,Ji-Sun Kim,Tae-Hee Lee,Ju-Hyeon Choi,Han-Byeol Oh,A-Hee Kim,Jun-Sik Kim,Jong-Rak Park,Soon-Cheol Chung,Dong-Il Yeom,Hyung-Sik Kim,Jae-Hoon Jun +11 more
TL;DR: This study indicated that the magnitude of mechanical stress could be controlled by various laser parameters and can be used in biostimulation for therapy and mechanoreceptor stimulation for tactile application.
Journal ArticleDOI
Design and Development of IEG Control and Characterization of Micro-holes Generated Using In-house Developed µ-ECM Setup
Journal ArticleDOI
Monitoring and analysis of thermal deformation waves with a high-speed phase measurement system
TL;DR: Thermal effects in optical substrates are vitally important in determining laser damage resistance in long-pulse and continuous-wave laser systems and have been measured using high-speed interferometry during a series of laser pulses incident on the surface.
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).