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Multi-objective optimization of multi-axis ball-end milling Inconel 718 via grey relational analysis coupled with RBF neural network and PSO algorithm

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TLDR
An integrated multi-objective optimization method with GRA, radial basis function (RBF) neural network, and particle swarm optimization (PSO) algorithm is proposed and proved to be feasible and can be generalized for other multi- objective optimization problem in manufacturing industry.
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This article is published in Measurement.The article was published on 2017-05-01. It has received 92 citations till now. The article focuses on the topics: Multi-swarm optimization & Optimization problem.

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Citations
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Journal ArticleDOI

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.
Journal ArticleDOI

Modeling and optimization of tool wear in MQL-assisted milling of Inconel 718 superalloy using evolutionary techniques

TL;DR: In this article, a series of milling experiments on Inconel 718 alloy was conducted under dry, conventional flood, and MQL cooling modes, and the particle swarm optimization (PSO) and bacteria foraging optimization (BFO) were employed to optimize the cutting speed, feed rate, and depth-of-cut to minimize the flank wear parameter of a cutting tool.
Journal ArticleDOI

Application of adaptive reliability importance sampling-based extended domain PSO on single mode failure in reliability engineering

TL;DR: An efficient and accurate reliability numerical method named adaptive reliability index importance sampling-based extended domain PSO (ARIIS-EDPSO) is proposed to combine the reliability numerical simulation and the particle swarm optimization ( PSO) algorithm.
Journal ArticleDOI

Particle swarm optimisation in designing parameters of manufacturing processes: A review (2008–2018)

TL;DR: An analysis of the particle swarm optimisation (PSO) implementation in designing parameters of heterogeneous manufacturing processes, both conventional and emerging, new processes is presented and could serve as a basis for the future research and implementation directions.
References
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Proceedings ArticleDOI

A new optimizer using particle swarm theory

TL;DR: The optimization of nonlinear functions using particle swarm methodology is described and implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm.
Journal ArticleDOI

Dry machining of Inconel 718, workpiece surface integrity

TL;DR: In this paper, the effect of dry machining on surface integrity and residual stresses when machining Inconel 718 superalloy was reviewed and an optimal cutting speed of 60m/min was determined, and additional measurements and observations were performed.
Journal ArticleDOI

A review on assembly sequence planning and assembly line balancing optimisation using soft computing approaches

TL;DR: In this article, a survey on assembly sequence planning and assembly line balancing problems using various soft computing approaches is presented, including genetic algorithm, ant colony optimization, particle swarm optimization and particle swarm optimisation.
Journal ArticleDOI

Multi-objective optimization of surface roughness and cutting forces in high-speed turning of Inconel 718 using Taguchi grey relational analysis (TGRA).

TL;DR: In this paper, a grey relational analysis has been applied to experimental results in order to optimize the high-speed turning of Inconel 718 with consideration to multiple performance measures.
Journal ArticleDOI

Optimization of process parameters of small hole dry drilling in Ti-6Al-4V using Taguchi and grey relational analysis

TL;DR: In this article, through holes were machined in a Ti-6Al-4V plate of 0.4mm thickness using twisted carbide drill bits of diameter by conventional dry drilling, and performance characteristics of the small hole drilling were evaluated through thrust force, overcut, circularity and taper.
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