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Force Prediction Methodology for Complex Shape Broaching
(Elsevier B.V., 2023)
Broaching is widely used for the manufacturing of complex geometries which requires high dimensional accuracy and surface finishing (e.g., fir tree, dovetail). A software development for force prediction in complex shape ...
Digital Twin for Final Generated Surface Dimensional Error Analysis at Tool Path Level in Contour Milling
(Elsevier B.V., 2023)
Surface errors in contour milling due to force induced tool deflections have a direct impact on the dimensional and geometrical accuracy of the finished part. In this sense, virtual manufacturing systems provide the ...
Exploring the transformation of user interactions to Adaptive Human-Machine Interfaces
(ACM, 2023)
Human-machine interfaces (HMI) facilitate communication between humans and machines, and their importance has increased in modern technology. However, traditional HMIs are often static and do not adapt to individual user ...
A meta-learning strategy based on deep ensemble learning for tool condition monitoring of machining processes
(Elsevier, 2023)
For Industry 4.0, tool condition monitoring (TCM) of machining processes aims to increase process efficiency and quality and lower tool maintenance costs. To this end, TCM systems monitor variables of interest, such as ...
Identification and Prioritisation of Professional Transitions in Manufacturing Operations in the New Context of Industry 4.0
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2023)
This paper examines the results from the identification and prioritisation phase of professional transitions towards the requalification of digital job operators. It was developed as part of the ‘Learning Solutions for ...
Industrial eco-productivity tool: a case study of industrial SMEs
(Springer, 2023)
This paper presents a new, unified method to measure and increase production and environmental performance in industrial SMEs (Small and Medium Enterprises), which have very limited resources, by identifying areas to improve ...
Effect of near beta-transus forging parameters on the mechanical and microstructural properties of Ti-6Al-4V: Application to hammer forging
(Materials Research Forum LLC., 2023)
Ti-6Al-4V is a widely employed material in the aerospace, power generation and bioengineering industries due to its low density, excellent corrosion resistance and outstanding mechanical properties. Hammer forging is one ...
Federated Explainability for Network Anomaly Characterization
(ACM, 2023)
Machine learning (ML) based systems have shown promising results for intrusion detection due to their ability to learn complex patterns. In particular, unsupervised anomaly detection approaches offer practical advantages ...
Search-based Test Case Selection for PLC Systems using Functional Block Diagram Programs
(IEEE, 2023)
Programmable Logic Controllers (PLCs) are the core unit of the production system, which frequently need to implement new processes to address customer needs. These changes must be fully tested to ensure the reliability of ...