[HTML][HTML] Classification of textile polymer composites: Recent trends and challenges
Polymer based textile composites have gained much attention in recent years and gradually
transformed the growth of industries especially automobiles, construction, aerospace and …
transformed the growth of industries especially automobiles, construction, aerospace and …
Recent advances in the theory and practice of logical analysis of data
Abstract Logical Analysis of Data (LAD) is a data analysis methodology introduced by Peter
L. Hammer in 1986. LAD distinguishes itself from other classification and machine learning …
L. Hammer in 1986. LAD distinguishes itself from other classification and machine learning …
Tool wear prediction in milling CFRP with different fiber orientations based on multi-channel 1DCNN-LSTM
In the machining of carbon fiber reinforced polymer (CFRP) components, tool wear grows
rapidly due to the highly abrasive property of carbon fibers, resulting in unfavorable part …
rapidly due to the highly abrasive property of carbon fibers, resulting in unfavorable part …
Thrust force-based tool wear estimation using discrete wavelet transformation and artificial neural network in CFRP drilling
C Han, KB Kim, SW Lee, MBG Jun… - International Journal of …, 2021 - Springer
Currently, carbon fiber-reinforced plastic (CFRP) is a material with potential uses for various
industries due to its excellent properties. However, the severe tool wear in its machining is …
industries due to its excellent properties. However, the severe tool wear in its machining is …
Demurrage pattern analysis using logical analysis of data: A case study of the Ulsan Port Authority
Maritime logistics, which accounts for around 80% of international trade around the world,
has been a driving force for economic growth. Increases in maritime traffic, however, lead to …
has been a driving force for economic growth. Increases in maritime traffic, however, lead to …
A contemporary approach to the MSE paradigm powered by Artificial Intelligence from a review focused on Polymer Matrix Composites
C Gomez, A Guardia, JL Mantari… - Mechanics of …, 2022 - Taylor & Francis
Artificial Intelligence (AI) is a broad discipline that uses powerful algorithms to emulate
important aspects of human intelligence. Provided by the Industry 4.0 revolution, AI is …
important aspects of human intelligence. Provided by the Industry 4.0 revolution, AI is …
Autonomous self-healing mechanism for a CNC milling machine based on pattern recognition
A sustainable and reliable machining process is the main goal of seeking machine
digitization. Artificial Intelligence (AI), and Cyber-Physical System (CPS) combined with …
digitization. Artificial Intelligence (AI), and Cyber-Physical System (CPS) combined with …
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 …
Fused magnesia manufacturing process: a survey
J Yang, S Lu, L Wang - Journal of Intelligent Manufacturing, 2020 - Springer
This paper provides an overview of the manufacturing process of fused magnesia. A brief
introduction to fused magnesia and its industrial production process are presented first. In …
introduction to fused magnesia and its industrial production process are presented first. In …
Cutting tool wear detection using multiclass logical analysis of data
This article presents a new tool wear multiclass detection method. Based on the
experimental data, tool wear classes are defined using the Douglas–Peucker algorithm …
experimental data, tool wear classes are defined using the Douglas–Peucker algorithm …