José V. Abellán Nebot
José V. Abellán Nebot
Associate Professor (Manufacturing Processes), Universitat Jaume I
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Cited by
Cited by
A review of machining monitoring systems based on artificial intelligence process models
JV Abellan-Nebot, FR Subirón
The International Journal of Advanced Manufacturing Technology 47 (1), 237-257, 2010
State space modeling of variation propagation in multistation machining processes considering machining-induced variations
JV Abellan-Nebot, J Liu, FR Subirón, J Shi
Journal of Manufacturing Science and Engineering 134 (2), 2012
Quality prediction and compensation in multi-station machining processes using sensor-based fixtures
JV Abellan-Nebot, J Liu, FR Subirón
Robotics and Computer-Integrated Manufacturing 28 (2), 208-219, 2012
An approach to sustainable product lifecycle management (Green PLM)
C Vila, JV Abellán-Nebot, JC Albiñana, G Hernández
Procedia engineering 132, 585-592, 2015
Manufacturing variation models in multi-station machining systems
JV Abellán-Nebot, FR Subirón, JS Mira
The International Journal of Advanced Manufacturing Technology 64 (1), 63-83, 2013
Adaptive control optimization in micro-milling of hardened steels—evaluation of optimization approaches
R Coppel, JV Abellan-Nebot, HR Siller, CA Rodriguez, F Guedea
The International Journal of Advanced Manufacturing Technology 84 (9), 2219-2238, 2016
Process-oriented tolerancing using the extended stream of variation model
JV Abellán-Nebot, J Liu, FR Subirón
Computers in industry 64 (5), 485-498, 2013
Adaptive control optimisation system for minimising production cost in hard milling operations
JA Silva, JV Abellán-Nebot, HR Siller, F Guedea-Elizalde
International Journal of Computer Integrated Manufacturing 27 (4), 348-360, 2014
An experimental study of process variables in turning operations of Ti–6Al–4V and Cr–Co spherical prostheses
JV Abellán-Nebot, HR Siller, C Vila, CA Rodríguez
The International Journal of Advanced Manufacturing Technology 63 (9), 887-902, 2012
Design of multi-station manufacturing processes by integrating the stream-of-variation model and shop-floor data
JV Abellan-Nebot, J Liu, FR Subiron
Journal of Manufacturing Systems 30 (2), 70-82, 2011
Collaborative product development experience in a senior integrated and manufacturing course
C Vila, JVA Nebot, AM Estruch, HR Siller
The International journal of engineering education 25 (5), 886-899, 2009
Study of different cutting strategies for sustainable machining of hardened steels
C Vila, JV Abellán-Nebot, HR Siller-Carrillo
Procedia Engineering 132, 1120-1127, 2015
Project-based experience through real manufacturing activities in mechanical engineering
JV Abellán-Nebot
International Journal of Mechanical Engineering Education 48 (1), 55-78, 2020
A review of artificial intelligent approaches applied to part accuracy prediction
JV Abellán-Nebot
International Journal of Machining and Machinability of Materials 8 (1-2), 6-37, 2010
Limitations of the current state space modelling approach in multistage machining processes due to operation variations
JV Abellán‐Nebot, J Liu, F Romero
AIP Conference Proceedings 1181 (1), 231-243, 2009
Use of additive manufacturing to obtain moulds to thermoform tactile graphics for people with visual impairment
J Serrano-Mira, J Gual-Ortí, G Bruscas-Bellido, JV Abellán-Nebot
Procedia Manufacturing 13, 810-817, 2017
Sustainable machining of molds for tile industry by minimum quantity lubrication
JV Abellan-Nebot, MO Rogero
Journal of Cleaner Production 240, 118082, 2019
Project-based collaborative engineering design and manufacturing learning with PLM tools
C Vila, JV Abellán, AM Estruch, GM Bruscas
International Conference on Cooperative Design, Visualization and …, 2009
State space modeling of variation propagation in multistage machining processes considering operation-induced variations
JV Abellan-Nebot, J Liu, FR Subiron, J Shi
Trans. ASME J. Manuf. Sci. Eng. 134, 2011
Optimal inspection/actuator placement for robust dimensional compensation in multistage manufacturing processes
JV Abellán-Nebot, I Penarrocha, E Sales-Setién, J Liu
Computational Methods and Production Engineering, 31-50, 2017
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