Journal Article10.1016/J.MEASUREMENT.2013.02.002
Multi-objective optimization using Taguchi based grey relational analysis for micro-milling of Al 7075 material with ball nose end mill
Emel Kuram,Babur Ozcelik +1 more
238
TL;DR: In this article, the effects of spindle speed, feed per tooth and depth of cut on tool wear, force and surface roughness were investigated using first-order models with interaction.
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About: This article is published in Measurement. The article was published on 01 Jul 2013. The article focuses on the topics: Taguchi methods & End mill.
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Citations
Multi-response optimization of minimum quantity lubrication parameters using Taguchi-based grey relational analysis in turning of difficult-to-cut alloy Haynes 25
Murat Sarikaya,Abdulkadir Güllü +1 more
TL;DR: In this paper, the authors presented an approach for optimization of machining parameters with multi-response outputs using design of experiment in turning using Taguchi's L9 orthogonal array.
334
Novel uses of SiO2 nano-lubrication system in hard turning process of hardened steel AISI4140 for less tool wear, surface roughness and oil consumption
TL;DR: In this paper, a mist of SiO2 nano-lubrication was used and applied by air pressure in turning of hardened steel AISI4140 in order to achieve the lowest tool wear and best surface quality.
231
Application of signal to noise ratio and grey relational analysis to minimize forces and vibrations during precise ball end milling
TL;DR: In this article, a method for the minimization of cutting forces and vibrations during precise ball end milling of hardened 55NiCrMoV6 steel is developed, which concentrates on the optimal selection of surface inclination angle α and tool's overhang l.
143
Taguchi Grey Relational Analysis for Multi-Response Optimization of Wear in Co-Continuous Composite.
TL;DR: Taguchi grey relational analysis-based optimization of wear parameters such as applied load, sliding speed and sliding distance, and their effect on dry sliding wear performance of AA6063/SiC co-continuous composite manufactured by gravity infiltration are involved.
130
Experimental investigation of machinability characteristics and multi-response optimization of end milling in aluminium composites using RSM based grey relational analysis
TL;DR: In this paper, the authors investigated the machinability characteristics of end milling operation to yield the minimum surface roughness, cutting force, tool wear with the maximum material removal rate using RSM based grey relational analysis.
117
References
Introduction to Grey system theory
TL;DR: The Grey Systeni and its applications are interdisciplinary, cutting across a variety of specialized fields, and it is evident that Grey System theory stands the test of time since 1982 as mentioned in this paper.
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Modelling and analysis of micro scale milling considering size effect, micro cutter edge radius and minimum chip thickness
TL;DR: In this article, a modified Johnson-Cook constitutive equation is formulated to model the material strengthening behaviors at micron level using strain gradient plasticity, and an analytical micro scale milling force model is developed based on the FE simulations using the cutting principles and the slip-line theory.
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Analysis of surface roughness and cutting force components in hard turning with CBN tool: Prediction model and cutting conditions optimization
TL;DR: In this paper, the effects of cutting speed, feed rate, workpiece hardness and depth of cut on surface roughness and cutting force components in the hard turning were experimentally investigated.
326
Experimental investigation and optimisation in drilling of GFRP composites
TL;DR: In this paper, an effective approach for the optimisation of drilling parameters with multiple performance characteristics based on the Tagugch's method with grey relational analysis has been presented, where the results indicate that the performance of drilling process can be improved effectively through this approach.
277
On the Modeling and Analysis of Machining Performance in Micro-Endmilling, Part II: Cutting Force Prediction
TL;DR: In this article, a cutting force model for the micro-endmilling process is developed, which incorporates the minimum chip thickness concept in order to predict the effects of the cutter edge radius on the cutting forces.