Monitoring surface roughness of thin-walled components from steel C45 machining down and up milling

P Michalik, J Zajac, M Hatala, D Mital, V Fecova - Measurement, 2014 - Elsevier
Article deals with problematic of milling thin wall components, than about study of surface
roughness and analytical prediction of surface roughness Rz for variable geometrical …

Machine learning based layer roughness modeling in robotic additive manufacturing

A Yaseer, H Chen - Journal of Manufacturing Processes, 2021 - Elsevier
Abstract Wire Arc Additive Manufacturing (WAAM) is a manufacturing technique that
deposits metal layer upon layer to manufacture 3D parts based on welding processes. Most …

Intelligent-ANFIS model for predicting measurement of surface roughness and geometric tolerances in three-axis CNC milling

K Kannadasan, DR Edla, MH Yadav… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Machinery is one of the major fields that impact the growth of the country. Computer
numerical control (CNC) plays a vital role in manufacturing machining parts. Each product …

[PDF][PDF] Adaptive neuro-fuzzy inference system (ANFIS) based surface roughness prediction model for ball end milling operation

SJ Hossain, N Ahmad - Journal of Mechanical Engineering …, 2012 - academicjournals.org
Surface roughness is an index which determines the quality of machined products and is
influenced by the cutting parameters. In this study, the average surface roughness Ra …

An investigation on the effects of vegetable oil based cutting fluids in the machining of copper alloys

M Saikiran - Materials Today: Proceedings, 2019 - Elsevier
This paper presents behavior of metal alloy alters due to concoction by casting. Scrutinize
over metals amalgam machining performance characteristic properties can helps in …

[PDF][PDF] Artificial intelligence based surface roughness prediction modeling for three dimensional end milling

MSJ Hossain, N Ahmad - International Journal of Advanced …, 2012 - researchgate.net
Surface roughness is an index which determines the quality of machined products and is
influenced by the cutting parameters. In this study the average surface roughness Ra (value) …

[PDF][PDF] Prediction of surface roughness in drilling of polymers using a geometrical model and artificial neural networks

N Baroiu, GA Costin, VG Teodor, D Nedelcu… - …, 2020 - revmaterialeplastice.ro
Polymeric materials are synthetic macromolecular products, of which, by mechanical or
thermal processing, objects of various shapes can be obtained, with wide uses in industry …

Modeling and multiresponse optimization of cutting parameters in SPDT of a rigid contact lens polymer using RSM and desirability function

MM Liman, K Abou-El-Hossein - The International Journal of Advanced …, 2019 - Springer
Amidst different conventional contact lens manufacturing techniques, single-point diamond
turning (SPDT) is one of the recently developed ultra-high precision machining techniques …

[PDF][PDF] Nucleation of a crack under inner compression of cylindrical bodies

E Zolgharnein, VM Mirsalimov - Acta Polytechnica Hungarica, 2012 - epa.niif.hu
The problem of fracture mechanics of crack nucleation in plunger pair bushing is
considered. It is assumed that under the repeated reciprocating motion of a plunger there …

[PDF][PDF] Surface roughness prediction model for ball end milling operation using artificial intelligence

SJ Hossain, N Ahmad - Management Science and Engineering, 2012 - researchgate.net
Surface roughness is an index which determines the quality of machined products. In this
study the average surface roughness value (Ra) for Aluminum after ball end milling …