Multi objective optimization using different methods of assigning weights to energy consumption responses, surface roughness and material removal rate during rough …

R Kumar, PS Bilga, S Singh - Journal of cleaner production, 2017 - Elsevier
The present research work focuses on simultaneous optimization of prime energy
consumption responses, surface roughness and material removal rate for sustainable …

[HTML][HTML] Optimization of machining parameters of aluminum alloy 6026-T9 under MQL-assisted turning process

M Abas, L Sayd, R Akhtar, QS Khalid, AM Khan… - Journal of Materials …, 2020 - Elsevier
The lower lead time and increasing demand for good quality parts require the industries to
produce the parts manufactured sustainably with higher precision, improved productivity …

Removal of lead from aqueous solutions using three biosorbents of aquatic origin with the emphasis on the affective factors

M Rezaei, N Pourang, AM Moradi - Scientific Reports, 2022 - nature.com
The biosorptive potentials of three aquatics-based biosorbents, including shells of a bivalve
mollusk and scales of two fish species for Pb removal from aqueous solutions were …

Optimization of cutting parameters with respect to roughness for machining of hardened AISI 1040 steel

A Şahinoğlu, M Rafighi - Materials Testing, 2020 - degruyter.com
Today, energy consumption and environmental issues are important topics in all industries
around the globe. However, quality is in direct proportion with energy consumption, since …

Tool vibration, surface roughness, cutting power, and productivity assessment using RSM and GRA approach during machining of Inconel 718 with PVD-coated …

I Kouahla, MA Yallese, S Belhadi, K Safi… - The International Journal …, 2022 - Springer
Nickel-based alloys such as (Inconel 718) are widely used in the fields of space technology,
rocket engines, nuclear reactors, petrochemicals, submarines, power plants, and others …

Optimization of machining parameters in turning of Inconel 718 Nickel-base super alloy

W Frifita, SB Salem, A Haddad… - Mechanics & …, 2020 - mechanics-industry.org
The high hardness and low thermal diffusivity along with the tremendous strength at high
temperatures has rendered the nickel-base super alloys Inconel 718 one of the most difficult …

On the modeling of surface roughness and cutting force when turning of Inconel 718 using artificial neural network and response surface methodology: accuracy and …

H Tebassi, MA Yallese, I Meddour, F Girardin… - Periodica Polytechnica …, 2017 - hal.science
This paper is an attempt to compare artificial neural networks and response surface
methodology for modeling surface roughness and cutting force in terms of better coefficient …

Sustainable machining of Inconel 718 using minimum quantity lubrication: Artificial intelligence-based process modelling

MU Farooq, R Kumar, A Khan, J Singh, S Anwar… - Heliyon, 2024 - cell.com
Governments and industries are developing aggressive policies to reduce carbon emissions
and shift from fossil fuels to renewable energy. On the other hand, industries struggle to …

Evaluation of the cutting performance of PVD, CVD and MTCVD carbide inserts in dry turning of AISI 4140 steel using RSM-based NAMDE optimization

B Hamadi, MA Yallese, L Boulanouar… - Journal of the Brazilian …, 2022 - Springer
An experimental study is carried out to investigate the performance of the cutting tool
regarding the insert wear, surface roughness, cutting forces, cutting power and material …

Energy optimization for milling 304L steel using artificial intelligence methods

K Bousnina, A Hamza, NB Yahia - International Journal of …, 2022 - journal.ump.edu.my
With increased production and productivity in modern industry, particularly in the automotive,
aeronautical, agro-food, and other sectors, the consumption of manufacturing energy is …