Manufacturing Process Optimization Using Pso by Optimal Machine Combination on Cluster Level

Mishra, Pushyamitra; Sahu, Aashish

doi:10.1016/j.matpr.2018.06.275

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…Particle Swarm Optimization, commonly referred as PSO, is one of the most commonly utilized optimization algorithms for solving continuous nonlinear optimization problems, firstly introduced by Kennedy and Eberhart 37 . Generally, it is a computational method that optimizes an objective function of mathematical problem by iteratively trying to improve a candidate solution with regard to a given measure of quality 38 . PSO is a popular technique with very easy execution only needs a few programming code lines.…”

Section: Theoretical Studiesmentioning

confidence: 99%

A numerical approach to determine the optimal condition of the gas anti-solvent supercritical process for nanoparticles production

Ardestani

Amani

2022

Sci Rep

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Supercritical gas antisolvent (GAS) process is an efficient method for nanoparticles production, in which accurate selection of operational condition is essential. Thermodynamic models can be applied for evaluation the phase equilibrium behavior and determination the required precipitation pressure of GAS process. In this research, thermodynamic behavior of (CO2—dimethyl sulfoxide (DMSO)) binary system and both of (CO2–DMSO-anthraquinone Violet 3RN (AV3RN)) and (CO2–DMSO-solvent Yellow 33 (SY33)) ternary systems in the GAS process were studied at different temperatures (308, 318, 328 and 338) K and pressures (1.0–14.0) MPa, using Peng–Robinson equation of state (PR-EoS). The minimum precipitation pressure of AV3RN and SY33 at 308, 318, 328 and 338 K were 7.80, 8.57, 9.78 and 11 MPa and 8, 8.63, 9.5 and 10.77 MPa, respectively. Also, the mole fraction of substances in liquid phase of ternary systems were determined by PR-EoS, at 328 K versus pressure. The accuracy of the obtained results were investigated using the experimental data reported in the literatures.

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Section: Theoretical Studiesmentioning

confidence: 99%

A numerical approach to determine the optimal condition of the gas anti-solvent supercritical process for nanoparticles production

Ardestani

Amani

2022

Sci Rep

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Modelling and Optimisation of Cooling-slope Parameters of Magnesium AZ91D using Improvement Multi-Objective Jaya Approach for Predicted Feedstock Performance

Mohd Said,

Sallehuddin,

Mohamed Radzi

et al. 2024

JST

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The cooling-slope (CS) casting technique is one of the simple semi-solid processing (SSP) processes a foundryman uses to produce the feedstock. This study attempts to develop mathematical regression models and optimise the CS parameters process for predicting optimal feedstock performance, which utilises tensile strength and impact strength to reduce the number of experimental runs and material wastage. This study considers several parameters, including pouring temperature, pouring distance, and slanting angles for producing quality feedstock. Hence, multi-objective optimisation (MOO) techniques using computational approaches utilised alongside the caster while deciding to design are applied to help produce faster and more accurate output. The experiment was performed based on the full factorial design (FFD). Then, mathematical regression models were developed from the data obtained and implemented as an objective function equation in the MOO optimisation process. In this study, MOO named multi-objective Jaya (MOJaya) was improved in terms of hybrid MOJaya and inertia weight with archive K-Nearest Neighbor (MOiJaya-aKNN) algorithm. The proposed algorithm was improved in terms of the search process and archive selection to achieve a better feedstock performance through the CS. The study’s findings showed that the values of tensile and impact strengths from MOiJaya_aKNN are close to the experiment values. The results show that the hybrid MOJaya has improved the prediction of feedstock using optimal CS parameters.

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Manufacturing Process Optimization Using Pso by Optimal Machine Combination on Cluster Level

Cited by 2 publications

References 8 publications

A numerical approach to determine the optimal condition of the gas anti-solvent supercritical process for nanoparticles production

A numerical approach to determine the optimal condition of the gas anti-solvent supercritical process for nanoparticles production

Modelling and Optimisation of Cooling-slope Parameters of Magnesium AZ91D using Improvement Multi-Objective Jaya Approach for Predicted Feedstock Performance

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