Citations (24)
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Shutong Xie, Zongbao He, Chunjin Wang, Chao Liu & Xiaolong Ke. (2023) A generic evolutionary ensemble learning framework for surface roughness prediction in manufacturing. International Journal of Computer Integrated Manufacturing 36:11, pages 1572-1594.
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V.S. Vishnu, Kiran George Varghese & B. Gurumoorthy. (2023) A data-driven digital twin framework for key performance indicators in CNC machining processes. International Journal of Computer Integrated Manufacturing 0:0, pages 1-19.
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S. Shankar, T. Mohanraj & R. Rajasekar. (2019) Prediction of cutting tool wear during milling process using artificial intelligence techniques. International Journal of Computer Integrated Manufacturing 32:2, pages 174-182.
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Juan J. Rodríguez, Guillem Quintana, Andres Bustillo & Joaquim Ciurana. (2017) A decision-making tool based on decision trees for roughness prediction in face milling. International Journal of Computer Integrated Manufacturing 30:9, pages 943-957.
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PoTsang B. Huang, James C. Chen, Cheng-Wei Yu & Chih-Cheng Chen. (2016) Integration of simulation and neural network in forecasting the throughput for TFT-LCD colour filter fabs. International Journal of Computer Integrated Manufacturing 29:3, pages 298-308.
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Andres Bustillo, Ibone Oleaga, Juan J. Zulaika & Nicolas Loix. (2015) New methodology for the design of ultra-light structural components for machine tools. International Journal of Computer Integrated Manufacturing 28:4, pages 339-352.
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Articles from other publishers (18)
M. VARATHARAJULU, MUTHUKANNAN DURAISELVAM, G. JAYAPRAKASH, N. BASKAR, S. VIJAYARAJ & K. ANAND BABU. (2023) A RETROSPECTIVE ANALYSIS ON DRILLING OPERATION AND ITS PARAMETERS: A CRITICAL REVIEW. Surface Review and Letters 30:10.
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Dongkai Wang. (2023) Research on surface integrity and its influencing factors in the high-speed cutting of typical aluminum/titanium/nickel alloys: a review. The International Journal of Advanced Manufacturing Technology 127:9-10, pages 4915-4942.
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J. Mahashar Ali, H. Siddhi Jailani & M. Murugan. 2023. Recent Trends in Product Design and Intelligent Manufacturing Systems. Recent Trends in Product Design and Intelligent Manufacturing Systems
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János Kundrák, Csaba Felhő & Antal Nagy. (2022) Analysis and Prediction of Roughness of Face Milled Surfaces using CAD Model. Manufacturing Technology 22:5, pages 558-572.
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Vahid Pourmostaghimi & Mohammad Zadshakoyan. (2020) Designing and implementation of a novel online adaptive control with optimization technique in hard turning. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 235:5, pages 652-663.
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G. Urbikain Pelayo, D. Olvera-Trejo, M. Luo, L.N. López de Lacalle & A. Elías-Zuñiga. (2021) Surface roughness prediction with new barrel-shape mills considering runout: Modelling and validation. Measurement 173, pages 108670.
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Batihan Sener, Gokberk Serin, M. Ugur Gudelek, A. Murat Ozbayoglu & Hakki Ozgur Unver. (2020) Intelligent Chatter Detection in Milling using Vibration Data Features and Deep Multi-Layer Perceptron. Intelligent Chatter Detection in Milling using Vibration Data Features and Deep Multi-Layer Perceptron.
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Maciej Grzenda & Andres Bustillo. (2018) Semi-supervised roughness prediction with partly unlabeled vibration data streams. Journal of Intelligent Manufacturing 30:2, pages 933-945.
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Pedro O.C. Junior, Paulo R. Aguiar, Cesar R. Foschini, Thiago V. França, Danilo M.S. Ribeiro, Fabio I. Ferreira, Wenderson N. Lopes & Eduardo C. Bianchi. (2019) Feature extraction using frequency spectrum and time domain analysis of vibration signals to monitoring advanced ceramic in grinding process. IET Science, Measurement & Technology 13:1, pages 1-8.
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A. Bustillo, D.Yu. Pimenov, M. Matuszewski & T. Mikolajczyk. (2018) Using artificial intelligence models for the prediction of surface wear based on surface isotropy levels. Robotics and Computer-Integrated Manufacturing 53, pages 215-227.
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Bing Wang & Zhanqiang Liu. (2017) Acoustic emission signal analysis during chip formation process in high speed machining of 7050-T7451 aluminum alloy and Inconel 718 superalloy. Journal of Manufacturing Processes 27, pages 114-125.
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Claudio Palasciano, Andres Bustillo, Paola Fantini & Marco Taisch. (2016) A new approach for machine's management: from machine's signal acquisition to energy indexes. Journal of Cleaner Production 137, pages 1503-1515.
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Andres Bustillo, Luis N. López de Lacalle, Asier Fernández-Valdivielso & Pedro Santos. (2016) Data-mining modeling for the prediction of wear on forming-taps in the threading of steel components. Journal of Computational Design and Engineering 3:4, pages 337-348.
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Andres Bustillo, Maciej Grzenda & Bohdan Macukow. (2016) Interpreting tree-based prediction models and their data in machining processes. Integrated Computer-Aided Engineering 23:4, pages 349-367.
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Álvar Arnaiz-González, Asier Fernández-Valdivielso, Andres Bustillo & Luis Norberto López de Lacalle. (2015) Using artificial neural networks for the prediction of dimensional error on inclined surfaces manufactured by ball-end milling. The International Journal of Advanced Manufacturing Technology 83:5-8, pages 847-859.
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D. Teixidor, M. Grzenda, A. Bustillo & J. Ciurana. (2013) Modeling pulsed laser micromachining of micro geometries using machine-learning techniques. Journal of Intelligent Manufacturing 26:4, pages 801-814.
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Andres Bustillo, Julien Negre & Inigo Lazcanotegui. (2013) Towards higher machine-tool eco-efficiency with an Information Sharing Platform. Towards higher machine-tool eco-efficiency with an Information Sharing Platform.