Chip Morphology Prediction in Inconel 718 Milling through Machine Learning to Control Surface Integrity

O Mypati, H Dogan, JA Robles-Linares, A Shokrani… - Procedia CIRP, 2024 - Elsevier
A nickel-based aerospace superalloy, Inconel 718 presents machining challenges because
of its hardness and strength. Monitoring and predicting chip morphology during milling is …

Flank wear prediction using spatial binary properties and artificial neural network in face milling of Inconel 718

T Banda, VL Jauw, C Li, A Akhavan Farid… - The International Journal …, 2022 - Springer
Machining of Inconel 718 causes rapid tool failure, which affects the tooling cost and
dimension tolerance of the components. Literature attributed flank wear as the dominant …

Heterogeneous data-driven hybrid machine learning for tool condition prognosis

P Wang, Z Liu, RX Gao, Y Guo - CIRP Annals, 2019 - Elsevier
Cutting tool condition prognosis is critical to process stability and quality assurance, but
affected by complex material-process interactions. This paper presents a hybrid machine …

Multi-sectional SVD-based machine learning for imagery signal processing and tool wear prediction during CNC milling of Inconel 718

T Banda, VL Jauw, C Li, AA Farid, CS Lim - The International Journal of …, 2024 - Springer
Inconel 718 possesses exceptional properties that negatively affect tool life and other key
indicators of the cutting mechanism. Owing to the unprecedented failure states of carbide …

Vision-Based Tool Wear Classification During End-Milling of Inconel 718 Using a Pre-Trained Convolutional Neural Network

AS Kumar, A Agarwal… - ASME …, 2023 - asmedigitalcollection.asme.org
Abstract Nickel-Based Superalloys (NBSAs) are widely used for components subjected to
high-temperature applications due to their excellent mechanical strength, toughness, and …

Machining stability categorization and prediction using process model guided machine learning

JH Ko - Metals, 2022 - mdpi.com
The time-domain dynamic process model is used to generate data and guides the stability
criteria for machine learning, saving the experimental costs for a number of required data for …

The relationship between the cutting-edge, tool wear, and chip formation during Inconel 718 dry cutting

C Pérez-Salinas, L de Lacalle, A del Olmo… - … International Journal of …, 2024 - Springer
This study comprehensively addresses the machining of nickel alloys, focusing its attention
on crucial aspects related to chip formation and tool wear. Detailed characterization of the …

Improving surface integrity in finish machining of Inconel 718 alloy using intelligent systems

F Jafarian, H Amirabadi, M Fattahi - The International Journal of Advanced …, 2014 - Springer
In machining of hard materials, surface integrity is one of the major customer requirements
which comprise the study of the changes induced to the workpiece. Surface roughness and …

Force-torque based on-line tool wear estimation system for CNC milling of Inconel 718 using neural networks

B Kaya, C Oysu, HM Ertunc - Advances in Engineering Software, 2011 - Elsevier
In a modern machining system, tool condition monitoring systems are needed to get higher
quality production and to prevent the downtime of machine tools due to catastrophic tool …

Prediction of surface roughness of 6061 aluminium alloy end milling: a machine vision approach

N Dhanapalan, G Thanigaiyarasu… - International Journal of …, 2014 - inderscienceonline.com
Surface roughness plays an important role to improve the productivity of the component.
Prediction of surface roughness becomes the challenging task in the manufacturing …