Jules Kouam

发表

Prediction of cutting tool wear during a turning process using artificial intelligence techniques

Victor Songmene, Chris K. Mechefske, Mohsen Marani, 2020, The International Journal of Advanced Manufacturing Technology.

Experimental Investigation of Cutting Fluid Influence on Drilled Aluminum Part Quality

Victor Songmene, Riad Khettabi, Imed Zaghbani, 2012 .

Numerical study and simulation in COMSOL multiphysics of the dilution process during Dust's sampling in dry machining

Victor Songmene, Jules Kouam, Rene Kamguem, 2012 .

Dry high-speed machining: a cost effective and green process

Victor Songmene, Riad Khettabi, Jules Kouam, 2012, Int. J. Manuf. Res..

A new sustainability model for machining processes

Victor Songmene, Riad Khettabi, Imed Zaghbani, 2011 .

Neuro-fuzzy predictive model for surface roughness and cutting force of machined Al–20 Mg2Si–2Cu metal matrix composite using additives

Victor Songmene, Mohsen Marani, Mohammadjavad Zeinali, 2019, Neural Computing and Applications.

Effects of lubrication modes on part quality during drilling 6061-T6 aluminium alloy

Victor Songmene, Jacques Masounave, Jules Kouam, 2013 .

Global machinability of Al-Mg-Si extrusions

Victor Songmene, Imed Zaghbani, Jules Kouam, 2012 .

Surface integrity of Al6061-T6 drilled in wet, semi-wet and dry conditions

Victor Songmene, Riad Khettabi, Jacques Masounave, 2013 .

An experimental investigation on dust emission during milling process using statistical analysis

Victor Songmene, Riad Khettabi, Abdelhakim Djebara, 2012 .

Experimental investigation on part quality and metallic particle emission when milling 6061-T6 aluminium alloy

Victor Songmene, Seyed Ali Niknam, Jules Kouam, 2016 .