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Slender workpiece cutting process stability prediction and monitoring based on internal signals 

Badiola, Xabier (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2019)
Chatter is commonly found when machining slender components on a lathe due to the low stiffness and damping. Aspects such as accuracy and roughness are usually compromised owing to large variation in stiffness along the ...
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Understanding Switched-Flux Machines: A MMF-Permeance Model and Magnetic Equivalent Circuit Approach 

Eguren-Alustiza, Imanol; Almandoz, Gaizka; Egea, Aritz; Badiola, Xabier (IEEE, 2022)
Due to their particular structure, switched-flux permanent magnet machines have become a very interesting alternative for many applications. This is why some recent studies have been focused in the understanding of the ...
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Less Rare-Earth Electromagnetic Design for a High-Performance Permanent Magnet Motor 

Rivera, Christian A.; Ugalde, Gaizka; Poza, Javier; Garramiola, Fernando; Badiola, Xabier (MDPI, 2022)
This paper presents an electromagnetic design alternative using the so-called banana-shaped magnets, achieving magnet weight reduction of 21.82% for the same performance as the baseline motor in the case study. Typically, ...
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A novel machine learning‐based methodology for tool wear prediction using acoustic emission signals 

Saez de Buruaga, Mikel; Badiola, Xabier; Vicente, Javier (MDPI, 2021)
There is an increasing trend in the industry of knowing in real-time the condition of their assets. In particular, tool wear is a critical aspect, which requires real-time monitoring to reduce costs and scrap in machining ...

OptiTwin: Data-Driven Machining Process Optimization Platform for SMEs 

Peralta Abadía, José Joaquín; Larrinaga, Felix; CUESTA ZABALAJAUREGUI, MIKEL; Badiola, Xabier; Duo, Aitor; Olalde Mendia, Gorka (IEEE, 2024)
The manufacturing industry is constantly seeking innovative solutions to optimize machining processes. However, there is a lack of efficient digital platforms that fully meet the flexibility, service composition, and ...
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Tool remaining useful life prediction using bidirectional recurrent neural networks (BRNN) 

Badiola, Xabier; Saez de Buruaga, Mikel; Vicente, Javier (Springer, 2023)
Nowadays, new challenges around increasing production quality and productivity, and decreasing energy consumption, are growing in the manufacturing industry. In order to tackle these challenges, it is of vital importance ...
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Study of Partial Discharge Inception Voltage in Inverter Fed Electric Motor Insulation Systems 

Elorza Azpiazu, Leire; Almandoz, Gaizka; Egea, Aritz; Ugalde, Gaizka; Badiola, Xabier (MDPI, 2023)
This article performs a thorough evaluation of different environmental and electrical waveform characteristics affecting PDIV on electric motor winding insulation. Temperature received special attention, as it clearly ...
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Mechanical and electrical properties of additively manufactured copper 

Soler Mallol, Daniel; Rodríguez Ceberio, Antonio Javier; Vicente Flores, José Ignacio; Ezeiza, J. C.; Zuriarrain Berasategui, Aitor; ARRAZOLA, PEDRO JOSE; Badiola, Xabier; Dominguez Romero, Erika (IOP Publishing, 2021)
Additive Manufacturing (AM) has become the new paradigm of design and production strategies. While structural and functional materials are the most implemented ones, it is also possible to manufacture parts using precious ...

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EgileaBadiola, Xabier (8)Almandoz, Gaizka (2)Egea, Aritz (2)Saez de Buruaga, Mikel (2)Ugalde, Gaizka (2)Vicente, Javier (2)ARRAZOLA, PEDRO JOSE (1)CUESTA ZABALAJAUREGUI, MIKEL (1)Dominguez Romero, Erika (1)Duo, Aitor (1)... View MoreMateriaODS 9 Industria, innovación e infraestructura (3)Machining (2)acoustic emission (1)ADAM (1)additive manufacturing (1)air-gap field modulation (1)Bidirectional recurrent neural network (1)condition monitoring (1)Conductivity (1)Copper (1)... View MoreDate Issued2021 (2)2022 (2)2023 (2)2019 (1)2024 (1)Has File(s)Yes (8)

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