Predicting and optimising the surface roughness of additive manufactured parts using an artificial neural network model and genetic algorithm
O Ulkir, G Akgun - Science and Technology of Welding and …, 2023 - journals.sagepub.com
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
K Bousnina, A Hamza, N Ben Yahia - Journal of Industrial and …, 2023 - Taylor & Francis
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 …
[HTML][HTML] An integration of PSO-ANN and ANFIS hybrid models to predict surface quality, cost, and energy (QCE) during milling of alloy 2017A
K Bousnina, A Hamza, NB Yahia - Journal of Engineering Research, 2023 - Elsevier
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 …
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 …
Investigation on Polymer Hybrid Composite Through CO2 Laser Machining for Precise Machining Conditions
Laser machining is a technique capable of achieving extremely precise material cutting
using appropriate parameters. The research proposes a new approach for producing …
using appropriate parameters. The research proposes a new approach for producing …
Hybrid ANN-PSO modeling and risk assessment approach of molybdenum separation from tungsten in sulfate solutions by liquid–liquid extraction process with …
B Shakib, N Singh, JH Jeon, JY Lee, M Khiadani… - Separation and …, 2024 - Elsevier
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 …
Thermal performance evaluation of Micro pin–fin heat exchangers: Part I—Geometrical Design parameters optimization
In this work, evaluation of thermal losses formulated on the “Entropy Generation
Minimization”(EGM) approach is performed to design arrayed micro pin–fin (MPF) heat …
Minimization”(EGM) approach is performed to design arrayed micro pin–fin (MPF) heat …
Effect of vibration and welding parameters on spot weld resistance: modeling integrating PSO-ANN and GA algorithm
K Bousnina, A Hamza, N Ben Yahia - Multiscale and Multidisciplinary …, 2024 - Springer
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 …
Optimization of stamping process parameters based on improved GA-BP neural network model
Y Xie, W Li, C Liu, M Du, K Feng - International Journal of Precision …, 2023 - Springer
Reasonable process parameters are the key measures to ensure the quality of stamping
products. In order to reduce the risk of cracking and wrinkling of stamping products, an …
products. In order to reduce the risk of cracking and wrinkling of stamping products, an …
A combination of the particle swarm optimization-artificial neurons network algorithm and response surface method to optimize energy consumption and cost during …
K Bousnina, A Hamza… - Energy Exploration & …, 2024 - journals.sagepub.com
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 …