Investigation on the effect of cutting fluid pressure on surface quality measurement in high speed thread milling of brass alloy (C3600) and aluminium alloy (5083)

AM Khorasani, I Gibson, M Goldberg, EH Doeven… - Measurement, 2016 - Elsevier
The quality of a machined finish plays a major role in the performance of milling operations,
good surface quality can significantly improve fatigue strength, corrosion resistance, or …

A comparative study of basic and ensemble artificial intelligence models for surface roughness prediction during the AA7075 milling process

AEH Gabsi, C Ben Aissa, S Mathlouthi - The International Journal of …, 2023 - Springer
This study reports on how ML algorithms are employed to investigate and predict surface
roughness. Experiments were executed with a CNC milling machine, using AA7075 as part …

Modeling turning performance of Inconel 718 with hybrid nanofluid under MQL using ANN and ANFIS

P Kulkarni, S Chinchanikar - Fracture and Structural Integrity, 2024 - fracturae.com
Soft computing techniques, with their self-learning capabilities, fuzzy principles, and
evolutionary computational philosophy, are being increasingly utilized in modeling complex …

Optimization of cutting parameters and result predictions with response surface methodology, individual and ensemble machine learning algorithms in end milling of …

D Demircioglu Diren, N Ozsoy, M Ozsoy… - Arabian Journal for …, 2023 - Springer
Optimizing the parameters in the milling method is important in terms of cost, energy, and
time. The forces that arise during milling cause undesirable results, such as tool wear and …

A comparative study of basic and ensemble artificial intelligence models for surface roughness prediction during the AA7075 milling process

CB Aissa, S Mathlouthi - The International Journal of …, 2023 - search.proquest.com
This study reports on how ML algorithms are employed to investigate and predict surface
roughness. Experiments were executed with a CNC milling machine, using AA7075 as part …

Simulation and experimental study on effect of surface residual stresses in dry orthogonal micro turning sample

B Kiran, D Nagaraju - Australian Journal of Mechanical …, 2023 - Taylor & Francis
Turning is a drastically favoured machining process for producing cylindrical components
with required dimensions. Prediction of chip formation is essential when damages caused …

Using soft computing methods as an effective tool in predicting surface roughness

MHF Al Hazza, EYT Adesta… - 2015 4th international …, 2015 - ieeexplore.ieee.org
The aim of this research is to compare between two different approaches in predicting and
modeling the surface roughness in high speed hard turning: regression analysis approach …

Quality Can Improve as Productivity Increases: Machining as Proof

F Momeni, J Ni - Procedia Manufacturing, 2021 - Elsevier
Increasing productivity is a crucial task, especially during a crisis when a shortage of
products occurs. In addition, a major concern related to higher productivity is the loss of …

[PDF][PDF] The selected laser melting production and subsequent post-processing of Ti-6Al-4V prosthetic acetabular

A Khorasani - 2017 - dro.deakin.edu.au
The selected laser melting production and subsequent post-processing of Ti- 6Al-4V prosthetic
acetabular Page 1 The selected laser melting production and subsequent post-processing of …

The technique of designing high-power CNC lathes for enterprises of the heavy engineering industry

V Kovalov, Y Vasilchenko, R Turmanidze… - IOP Conference …, 2019 - iopscience.iop.org
Proposed is the method of heavy machine tools constructions' structural-parametric
synthesis based on their components processing parameters statistical study. The process …