Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth

DY Pimenov, A Bustillo, T Mikolajczyk - Journal of Intelligent …, 2018 - Springer
Nowadays, face milling is one of the most widely used machining processes for the
generation of flat surfaces. Following international standards, the quality of a machined …

Kinematics and improved surface roughness model in milling

D Liu, C Li, L Dong, A Qin, Y Zhang, M Yang… - … International Journal of …, 2024 - Springer
Surface roughness has a significant influence on the mechanical properties and service life
of a component. During face milling, surface roughness greatly varies in the tool step …

A neural network model to predict surface roughness during turning of hardened SS410 steel

XA Vasanth, PS Paul, AS Varadarajan - International Journal of System …, 2020 - Springer
In manufacture sector, the surface finish quality has considerable importance that can affect
the functioning of a component, and possibly its cost. The surface quality is an significant …

Modelling and optimization of surface roughness during AISI P20 milling process using Taguchi method

I Tlhabadira, IA Daniyan, R Machaka, C Machio… - … International Journal of …, 2019 - Springer
Surface roughness Ra is a parameter normally used to indicate the level of surface
irregularities during machining operations. This work aims to model the cutting process …

Comparative study of popular deep learning models for machining roughness classification using sound and force signals

B Bhandari - Micromachines, 2021 - mdpi.com
This study compared popular Deep Learning (DL) architectures to classify machining
surface roughness using sound and force data. The DL architectures considered in this …

Multi-response optimization of face milling performance considering tool path strategies in machining of Al-2024

RA Ali, M Mia, AM Khan, W Chen, MK Gupta, CI Pruncu - Materials, 2019 - mdpi.com
It is hypothesized that the orientation of tool maneuvering in the milling process defines the
quality of machining. In that respect, here, the influence of different path strategies of the tool …

Development of mathematical models for surface roughness parameter prediction in turning depending on the process condition

M Tomov, M Kuzinovski, P Cichosz - International Journal of Mechanical …, 2016 - Elsevier
This paper presents mathematical models for predicting R z, R p, R v, R a, RS m and R mr
(c) roughness parameters based on the kinematical–geometrical copying of the cutting tool …

Model design and optimization of carbide milling cutter for milling operation of M200 tool steel

SN Phokobye, IA Daniyan, I Tlhabadira, L Masu… - Procedia CIRP, 2019 - Elsevier
The modelling and optimization of a mill cutter increases the efficiency of cutting operation.
The purpose of this paper is to study the model design and optimization of carbide milling …

A surface quality prediction model considering the machine-tool-material interactions

M Guo, W Xia, C Wu, C Luo, Z Lin - The International Journal of Advanced …, 2024 - Springer
Surface topography is an important factor in evaluating surface integrity and surface
roughness of the processed material to ensure the processing quality and shorten the …

[PDF][PDF] Numerical and experimental analysis of surface roughness during the milling operation of titanium alloy Ti6Al4V

IA Daniyan, I Tlhabadira, K Mpofu… - International Journal of …, 2021 - researchgate.net
Titanium alloy (Ti-6Al-4V) has many industrial applications due to its excellent mechanical
properties. However, its low thermal conductivity often results in surface and dimensional …