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Predicting and optimising the surface roughness of additive manufactured parts using an artificial neural network model and genetic algorithm
The selection of parameters affects the surface roughness in the additive manufacturing
process. This study aims to determine the optimal combination of input parameters for …
process. This study aims to determine the optimal combination of input parameters for …
A combination of PSO-ANN hybrid algorithm and genetic algorithm to optimize technological parameters during milling 2017A alloy
Numerically controlled machine tools are commonly used in metalworking processes due to
their precision and reproducibility. However, finding the appropriate cutting parameters and …
their precision and reproducibility. However, finding the appropriate cutting parameters and …
Research on intelligent prediction of surface roughness in cutting 42CrMo steel by using particle swarm optimization-based support vector machine
HY Zhao, Y Cao, G Sergey, V Kuzin, J Du… - International Journal of …, 2024 - Springer
Abstract 42CrMo high-strength steel is a material that is difficult to machine and has
difficulties controlling the quality of the machined surface. To ensure the stability of surface …
difficulties controlling the quality of the machined surface. To ensure the stability of surface …
[HTML][HTML] An integration of PSO-ANN and ANFIS hybrid models to predict surface quality, cost, and energy (QCE) during milling of alloy 2017A
An alarming pace of increase in worldwide energy consumption is being caused by
population expansion and economic development, particularly in emerging market …
population expansion and economic development, particularly in emerging market …
Hybrid ANN-PSO modeling and risk assessment approach of molybdenum separation from tungsten in sulfate solutions by liquid–liquid extraction process with …
The liquid–liquid extraction process for Mo (VI) in the presence of W (VI) from a sulfate
solution with di-(2-ethylhexyl) phosphoric acid (D2EHPA) was studied using an artificial …
solution with di-(2-ethylhexyl) phosphoric acid (D2EHPA) was studied using an artificial …
Effect of vibration and welding parameters on spot weld resistance: modeling integrating PSO-ANN and GA algorithm
The estimation and improvement of the strength of 304L stainless steel spot welds were
quantitatively analyzed using a hybrid method. This method combines the PSO-ANN …
quantitatively analyzed using a hybrid method. This method combines the PSO-ANN …
Multi Objective Optimization Research on Power Consumption and Stiffness of Internal Feedback Hydrostatic Turntable
This paper proposes a parameter optimization method for hydrostatic turntable with internal
feedback in machine tools, considering stiffness and energy consumption. For the first time …
feedback in machine tools, considering stiffness and energy consumption. For the first time …
Analysis and optimization of an internal feedback hydrostatic turntable oil pad power consumption based on finite difference method
C Yang, S Shao, Y Cheng, Z Liu, Y Zhao - International Journal of …, 2023 - Springer
The hydrostatic turntable is a critical component of numerous CNC machine tools, as it
performs a supporting function and enables precise rotary motion. To ensure that high …
performs a supporting function and enables precise rotary motion. To ensure that high …
Experimental Investigations and Optimization of Surface Roughness Using Response Surface Methodology Coupled with Genetic Algorithm and Particle Swarm …
Nickel-based superalloy such as Inconel 718 has worldwide applications in the
manufacturing of aircraft components and defence industries due to superior properties at …
manufacturing of aircraft components and defence industries due to superior properties at …
A combination of the particle swarm optimization-artificial neurons network algorithm and response surface method to optimize energy consumption and cost during …
This research aims to predict the cost and energy consumption associated with pocket and
groove machining using the hybrid particle swarm optimization-artificial neurons network …
groove machining using the hybrid particle swarm optimization-artificial neurons network …