[HTML][HTML] Leveraging AI for energy-efficient manufacturing systems: Review and future prospectives
Energy poses a significant challenge in the industrial sector, and the abundance of data
generated by Industry 4.0 technologies offers the opportunity to leverage Artificial …
generated by Industry 4.0 technologies offers the opportunity to leverage Artificial …
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 …
Predictive optimization of surface quality, cost, and energy consumption during milling alloy 2017A: An approach integrating GA-ANN and RSM models
K Bousnina, A Hamza, N Ben Yahia - International Journal on Interactive …, 2024 - Springer
Population growth and economic development are leading to an alarming increase in global
energy consumption. Numerically controlled machine tools are widely used in metalworking …
energy consumption. Numerically controlled machine tools are widely used in metalworking …
Prediction of QCE using ANN and ANFIS for milling Alloy 2017A
K Bousnina, A Hamza… - Advances in Mechanical …, 2023 - journals.sagepub.com
Population growth and economic development, particularly in developing market nations,
are driving up global energy consumption at an alarming rate. Despite increased wealth …
are driving up global energy consumption at an alarming rate. Despite increased wealth …
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 …
An energy survey to optimize the technological parameters during the milling of AISI 304L steel using the RSM, ANN and genetic algorithm
K Bousnina, A Hamza, N Ben Yahia - Advances in Materials and …, 2024 - Taylor & Francis
The world's population growth has led to increased demand for products, which requires
enormous energy consumption. Therefore, energy savings are becoming a primary …
enormous energy consumption. Therefore, energy savings are becoming a primary …
A circular approach to foster additive manufacturing early design stages sustainability: a methodological proposal
A Faveto, F Lombardi, P Chiabert… - International Journal on …, 2024 - Springer
The design of new products is now influenced by shifting consumer demands and
technological advancements. Products must satisfy high-quality standards and have a low …
technological advancements. Products must satisfy high-quality standards and have a low …
Computer aided simulation and experimental investigation of the machinability of Al 6065 T6 during milling operation
Aluminium alloy is increasingly being used in the industries because of its high strength to
weight and corrosion resistance ability. However, there is a need to investigate its …
weight and corrosion resistance ability. However, there is a need to investigate its …
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 …