A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm

A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm

<p dir="ltr">Monitoring the machining process is crucial for providing cost-effective, high-quality production and preventing unwanted accidents. This study aims to predict critical machining conditions related to surface roughness and tool breakage in titanium alloy slot milling. Th...

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Bibliographic Details
Main Author: Amirsajjad Rahmani (17541453) (author)
Other Authors: Faramarz Hojati (17541456) (author), Mohammadjafar Hadad (17541345) (author), Bahman Azarhoushang (10996172) (author)
Published: 2023
Subjects:
Engineering
Control engineering, mechatronics and robotics
Manufacturing engineering
Mechanical engineering
Information and computing sciences
Artificial intelligence
tool monitoring
milling
Ti6Al4V
binary whale optimization algorithm
feature selection
slot milling
edge box
unbalance dataset
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