A review of cutting tool life prediction through flank wear monitoring
M Das, VNA Naikan, SC Panja - International Journal of Quality & …, 2024 - emerald.com
Purpose The aim of this paper is to review the literature on the prediction of cutting tool life.
Tool life is typically estimated by predicting the time to reach the threshold flank wear width …
Tool life is typically estimated by predicting the time to reach the threshold flank wear width …
Analyzing the performance of artificial neural network (ANN)-, fuzzy logic (FL)-, and least square (LS)-based models for online tool condition monitoring
A Salimiasl, A Özdemir - The International Journal of Advanced …, 2016 - Springer
There are various methods to model the cutting processes and tool life in machining
operations. However, there is not any unchallengeable agreement on a certain method …
operations. However, there is not any unchallengeable agreement on a certain method …
Deep Reinforcement Learning for autonomous pre-failure tool life improvement
This paper develops an approach to improve a CNC machine's tool performance and slow
down its degradation rate automatically in the Pre-Failure stage. A Deep Reinforcement …
down its degradation rate automatically in the Pre-Failure stage. A Deep Reinforcement …
Machinability analysis on Al7075 matrix composites reinforced by nano-silicon carbide, boron carbide, graphene and MWCNT
JP Ajithkumar, MA Xavior - Journal of the Brazilian Society of Mechanical …, 2023 - Springer
The present work seeks to propose the development of relatively new hybrid composites
Al7075-10% SiC-0.1% B4C, Al7075-10% SiC-0.1% graphene, and Al7075-10% SiC-0.1 …
Al7075-10% SiC-0.1% B4C, Al7075-10% SiC-0.1% graphene, and Al7075-10% SiC-0.1 …
A dynamic condition-based maintenance policy for heterogeneous-wearing tools with considering product quality deterioration
B Lu, Y Luo - International Journal of Production Research, 2024 - Taylor & Francis
The wear of a cutting tool can lead to tool failure and product quality deterioration, and thus
timely maintenance of tools is crucial. Meanwhile, the wear of tools from a same population …
timely maintenance of tools is crucial. Meanwhile, the wear of tools from a same population …
Flank and crater wear analysis during turning of Al 7075 based hybrid composites
JP Ajithkumar, MA Xavior - Materials Research Express, 2019 - iopscience.iop.org
This paper presents the investigation results of flank wear and crater wear developed in the
Uncoated and Diamond-Like Carbon (DLC) coated carbide inserts during the dry turning of …
Uncoated and Diamond-Like Carbon (DLC) coated carbide inserts during the dry turning of …
An analytic approach to the Cox proportional hazards model for estimating the lifespan of cutting tools
The machining industry raises an ever-growing concern for the significant cost of cutting
tools in the production process of mechanical parts, with a focus on the replacement policy …
tools in the production process of mechanical parts, with a focus on the replacement policy …
Optimisation of tool replacement time in the machining process based on tool condition monitoring using the stochastic approach
The efficient cutting tool replacement policy can decrease the machining costs and increase
the productivity. This study focuses on the stochastic approach for tool life modelling in the …
the productivity. This study focuses on the stochastic approach for tool life modelling in the …
An integrated stochastic model to optimize the machining condition and tool maintenance policy in the multi-pass and multi-stage machining
Developing the mathematical optimization models for multi-pass and multi-stage machining
processes, due to their mathematical and implicational complexity is important. Despite …
processes, due to their mathematical and implicational complexity is important. Despite …
Tool Wear Detection in Milling Process Using Long Short-Term Memory Networks: An Industry 4.0 Approach
Industry 4.0 and the rise of predictive maintenance have led to increased interest in
developing efficient and accurate methods for detecting tool wear in manufacturing …
developing efficient and accurate methods for detecting tool wear in manufacturing …