Enhancing Tool Replacement Decisions in Milling of Ti-6Al-4V Using Convolutional Neural Networks and Time-series-to-image Encoding-Reference-Cited by-同舟云学术

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Enhancing Tool Replacement Decisions in Milling of Ti-6Al-4V Using Convolutional Neural Networks and Time-series-to-image Encoding

Published:2023 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Junghans Sebastian,Flehmke Malte,Stützle Joshua,Möller Carsten,Dege Jan

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference28 articles.

1. Correlating tool wear, tool life, surface roughness and tool vibration in finish turning with coated carbide tools;M E R Bonifacio;Wear,1994

2. Research on the relationship between workpiece surface machining quality and turning tool wear;Min ; Cao;J. Phys.: Conf. Ser,2021

3. Tool Life Prediction using Random Walk Bayesian Updating;J M Karandikar;Machining Science and Technology,2013

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving Machined Accuracy Under a Constant Feed Speed Vector at the End-Milling Point by Estimating Machining Force in Tool Approach;International Journal of Automation Technology;2024-05-05

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