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Measurement and optimization of performance characteristics in turning of Mg alloy under dry and MQL conditions

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TLDR
In this article, the results of a turning of magnesium alloy using uncoated tungsten carbide cutting insert in dry and minimum quantity lubrication (MQL) cutting conditions have been presented.
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This article is published in Measurement.The article was published on 2018-05-01. It has received 88 citations till now. The article focuses on the topics: Tool wear & Taguchi methods.

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Cooling techniques to improve the machinability and sustainability of light-weight alloys: A state-of-the-art review

TL;DR: In this paper, the machining and sustainability characteristics of minimum quantity lubrication (MQL), nanofluids-MQL, Ranque-Hilsch vortex tube MQL (RHVT + MQL), cryogenic MQL as alternative to flood cooling applications in the cutting of light-weight materials are presented.
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Parameter optimization during minimum quantity lubrication milling of TC4 alloy with graphene-dispersed vegetable-oil-based cutting fluid

TL;DR: In this paper, a minimum quantity lubrication with graphene-dispersed vegetable-oil-based cutting fluids was adopted in the milling of TC4 alloy, where the cutting fluids were prepared by dispersing graphene nanoparticles into the vegetable oil-based cut fluid to improve the micro-hardness and surface roughness.
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Multi-objective optimization in WEDM process of graphene – SiC-magnesium composite through hybrid techniques

TL;DR: In this article, the impact of wire electric discharge machining (WEDM) parameters on material removal rate (MRR) and surface roughness (Ra) for the newly developed Magnesium metal matrix composite was investigated.
Journal ArticleDOI

Measurement and multi-response optimization of turning parameters for magnesium alloy using hybrid combination of Taguchi-GRA-PCA technique

TL;DR: In this article, the cutting force (Fz), material removal rate (MRR), tool flank wear (VB) and surface roughness (Ra) in turning of magnesium alloy with PVD-coated carbide insert in dry conditions were investigated.
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Processing, Properties, and Microstructure of Recycled Aluminum Alloy Composites Produced Through an Optimized Stir and Squeeze Casting Processes

TL;DR: In this article, the authors used the Taguchi-Grey relational analysis method to optimize the stir and casting process parameters, namely, squeeze pressure, squeeze time, die preheating temperature, and stirrer speed.
References
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Journal ArticleDOI

Protective coatings on magnesium and its alloys — a critical review

TL;DR: In this paper, the state of the art in coating and surface modification technologies, applied to magnesium-based substrates for improved corrosion and wear resistance, are discussed, including electrochemical plating, conversion coatings, anodizing, gas phase deposition processes, laser surface alloying/cladding and organic coatings.
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Superior light metals by texture engineering: Optimized aluminum and magnesium alloys for automotive applications

TL;DR: In this article, the basic mechanisms of texture formation of aluminum and magnesium alloys during wrought processing are described and the major aspects and differences in deformation and recrystallization mechanisms are discussed.
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Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks

TL;DR: In this paper, the authors used neural network models to predict surface roughness and tool flank wear over the machining time for variety of cutting conditions in finish hard turning of hardened AISI 52100 steel.
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Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method

TL;DR: The surface roughness is measured during turning at different cutting parameters such as speed, feed, and depth of cut by full factorial experimental design and it is clearly seen that the proposed models are capable of prediction of the surface Roughness.
Journal ArticleDOI

Optimization of turning operations with multiple performance characteristics using the Taguchi method and Grey relational analysis

TL;DR: In this paper, the authors investigated the optimization of CNC turning operation parameters for SKD11 (JIS) using the Grey relational analysis method and found the degree of influence for each controllable process factor onto individual quality targets.
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