In-process detection of failure modes using YOLOv3-based on-machine vision system in face milling Inconel 718

T Banda, VL Jauw, AA Farid, NH Wen… - … International Journal of …, 2023 - Springer
It was reported that the synergistic effect of process parameters on the superior properties of
Inconel 718 exacerbate the wear mechanisms, leading to rapid flank wear rate and …

Anticipating Surface Roughness in Inconel Turning: Harnessing the Power of Neural Networks and Bayesian Regularization

A Mohamed, B Deepak… - 2023 Second International …, 2023 - ieeexplore.ieee.org
In recent years, hybrid machining techniques have gained popularity in processing materials
that are notoriously tough to work with. This is due to the inherent benefits that hybrid …

Extended multi-sensor data characterization and prediction of surface roughness and bore tolerance in circular end milling

YM Ertekin - 1993 - scholarsmine.mst.edu
Abstract" Unmanned machining centers are starting to emerge as the ultimate and most
versatile form of computer integrated manufacturing. To utilize the full potential of unmanned …

[PDF][PDF] Intelligent cutting tool condition monitoring in milling

U Zuperl, F Cus, J Balic - Journal of Achievements in Materials …, 2011 - jamme.acmsse.h2.pl
Purpose: of this paper is to present a tool condition monitoring (TCM) system that can detect
tool breakage in real time by using a combination of neural decision system, ANFIS tool …

Development of an artificial neural network algorithm for predicting the surface roughness in end milling of Inconel 718 alloy

MI Hossain, AKMN Amin… - … Conference on Computer …, 2008 - ieeexplore.ieee.org
In this work, an artificial neural network (ANN) model was developed for the investigation
and prediction of the relationship between cutting parameters and surface roughness during …

Using AutoML to optimize shape error prediction in milling processes

B Denkena, MA Dittrich, M Lindauer… - Proceedings of the …, 2020 - papers.ssrn.com
Manufacturing of tool molds represents a single part production characterized by varying
designs and various different process steps. The associated milling processes require a …

Physics based modeling of machining Inconel 718 to predict surface integrity modification

S Rinaldi, S Imbrogno, G Rotella, D Umbrello, L Filice - Procedia Cirp, 2019 - Elsevier
Inconel 718 nickel-based super alloy is widely used in aerospace, nuclear and marine
industries due to its important thermo-mechanical properties and excellent corrosion …

Optimum surface roughness in end milling Inconel 718 by coupling neural network model and genetic algorithm

B Ozcelik, H Oktem, H Kurtaran - The International Journal of Advanced …, 2005 - Springer
In this study, optimum cutting parameters of Inconel 718 are determined to enable minimum
surface roughness under the constraints of roughness and material removal rate. In doing …

Predictive Tool Condition Monitoring in Computer Numerically Controlled Milling

JA Oroko - 2024 - ir.jkuat.ac.ke
The surface integrity and dimensional accuracy of a computer numerically controlled (CNC)
milled part is greatly affected by the wear condition of the cutting tool. An effective tool …

Investigating the correlation between surface roughness and degree of chip segmentation in A7075 aluminum alloy milling across varied cutting speeds

THIHOA PHAM, THET LUYEN, DUCT NGUYEN - Sādhanā, 2024 - Springer
This study investigates the intricate relationship between surface roughness (Ra) and the
extent of chip segmentation (Gs) during the milling process of A7075 aluminum alloy across …