Evolutionary techniques in optimizing machining parameters: Review and recent applications (2007–2011)

N Yusup, AM Zain, SZM Hashim - Expert Systems with Applications, 2012 - Elsevier
In highly competitive manufacturing industries nowadays, the manufactures ultimate goals
are to produce high quality product with less cost and time constraints. To achieve these …

Neural control strategy of constant cutting force system in end milling

U Zuperl, F Cus, M Reibenschuh - Robotics and Computer-Integrated …, 2011 - Elsevier
This paper discusses the application of neural adaptive control strategy to the problem of
cutting force control in high speed end milling operations. The research is concerned with …

[HTML][HTML] Optimizing the seed-cell filling performance of an inclined plate seed metering device using integrated ANN-PSO approach

CM Pareek, VK Tewari, R Machavaram… - Artificial Intelligence in …, 2021 - Elsevier
Uniform seed distribution within the row is the prime objective of precision planters for better
crop growth and yield. Inclined plate planters are generally used for sowing bold seeds like …

A hybrid artificial neural network and particle swarm optimization for prediction of removal of hazardous dye brilliant green from aqueous solution using zinc sulfide …

M Ghaedi, A Ansari, F Bahari, AM Ghaedi… - Spectrochimica Acta Part …, 2015 - Elsevier
In the present study, zinc sulfide nanoparticle loaded on activated carbon (ZnS-NP-AC)
simply was synthesized in the presence of ultrasound and characterized using different …

[PDF][PDF] Investigation on machining performance of Inconel 718 in high pressure cooling conditions

O Çolak - Strojniški vestnik-Journal of Mechanical Engineering, 2012 - researchgate.net
The paper deals with experimental investigation on machinability of Inconel 718 in
conventional and alternative high pressure cooling conditions. The experiments are …

Overview of PSO for optimizing process parameters of machining

N Yusup, AM Zain, SZM Hashim - Procedia Engineering, 2012 - Elsevier
In the current trends of optimizing machining process parameters, various evolutionary or
meta-heuristic techniques such as Particle Swarm Optimization (PSO), Genetic Algorithm …

Artificial neural network and particle swarm optimization for removal of methyl orange by gold nanoparticles loaded on activated carbon and Tamarisk

M Ghaedi, AM Ghaedi, A Ansari, F Mohammadi… - … Acta Part A: Molecular …, 2014 - Elsevier
The influence of variables, namely initial dye concentration, adsorbent dosage (g), stirrer
speed (rpm) and contact time (min) on the removal of methyl orange (MO) by gold …

Multiresponse optimization of micro-wire electrical discharge machining process

B Kuriachen, KP Somashekhar, J Mathew - The International Journal of …, 2015 - Springer
In recent years, micro-wire electric discharge machining (micro-WEDM) has become one of
the most popular micromachining processes used for creating complex microfeatures on …

[PDF][PDF] Sustainability assessment: cryogenic machining of Inconel 718

F Pušavec, J Kopač - Strojniški vestnik-Journal of Mechanical …, 2011 - scholar.archive.org
This paper presents a case study that highlights the importance of sustainable cryogenic
machining in achieving sustainable development objectives. Global environmental …

[PDF][PDF] Hybrid ANFIS-ants system based optimisation of turning parameters

F Cus, J Balic, U Zuperl - Journal of Achievements in Materials and …, 2009 - Citeseer
Purpose: The paper presents a new hybrid multi-objective optimization technique, based on
ant colony optimization algorithm (ACO), to optimize the machining parameters in turning …