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Zhiqiang Wang, Mathieu Ritou, Catherine Da Cunha & Benoît Furet. (2020) Contextual classification for smart machining based on unsupervised machine learning by Gaussian mixture model. International Journal of Computer Integrated Manufacturing 33:10-11, pages 1042-1054.
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JorgeA. Silva, JoséV. Abellán-Nebot, HectorR. Siller & Federico Guedea-Elizalde. (2014) Adaptive control optimisation system for minimising production cost in hard milling operations. International Journal of Computer Integrated Manufacturing 27:4, pages 348-360.
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Hossam Faris, Alaa Sheta & Ertan Öznergiz. (2013) Modelling hot rolling manufacturing process using soft computing techniques. International Journal of Computer Integrated Manufacturing 26:8, pages 762-771.
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Emel Kuram, M.
Huseyin Cetin, Babur Ozcelik & Erhan Demirbas. (2012) Performance analysis of developed vegetable-based cutting fluids by D-optimal experimental design in turning process. International Journal of Computer Integrated Manufacturing 25:12, pages 1165-1181.
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Guillem Quintana, Andres Bustillo & Joaquim Ciurana. (2012) Prediction, monitoring and control of surface roughness in high-torque milling machine operations. International Journal of Computer Integrated Manufacturing 25:12, pages 1129-1138.
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Yu Zhang, Xun Xu & Yongxian Liu. (2011) Numerical control machining simulation: a comprehensive survey. International Journal of Computer Integrated Manufacturing 24:7, pages 593-609.
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Azlan
Mohd Zain, Habibollah Haron & Safian Sharif. (2011) Integration of simulated annealing and genetic algorithm to estimate optimal solutions for minimising surface roughness in end milling Ti-6AL-4V. International Journal of Computer Integrated Manufacturing 24:6, pages 574-592.
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Articles from other publishers (8)
Wei Liu, Hengyuan Ma, Xionghui Zhou & Qiang Niu. (2023) A study on multi-factor geometry-physical modeling and simulation in machine tool cutting processes. The International Journal of Advanced Manufacturing Technology 129:5-6, pages 2491-2505.
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Muhammad Asif, Hang Shen, Chunlin Zhou, Yuandong Guo, Yibo Yuan, Pu Shao, Lan Xie & Muhammad Shoaib Bhutta. (2023) Recent Trends, Developments, and Emerging Technologies towards Sustainable Intelligent Machining: A Critical Review, Perspectives and Future Directions. Sustainability 15:10, pages 8298.
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Stanislav S. Makhanov. (2022) Vector fields for five-axis machining. A survey. The International Journal of Advanced Manufacturing Technology 122:2, pages 533-575.
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Yu Sung Chuo, Ji Woong Lee, Chang Hyeon Mun, In Woong Noh, Sina Rezvani, Dong Chan Kim, Jihyun Lee, Sang Won Lee & Simon S. Park. (2022) Artificial intelligence enabled smart machining and machine tools. Journal of Mechanical Science and Technology 36:1, pages 1-23.
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Heng-Xin Ni, Chun-Ping Yan, Shen-Fu Ni, Huan Shu & Yu Zhang. (2021) Multi-verse optimizer based parameters decision with considering tool life in dry hobbing process. Advances in Manufacturing 9:2, pages 216-234.
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Hengyuan Ma, Wei Liu, Xionghui Zhou, Qiang Niu & Chuipin Kong. (2019) An effective and automatic approach for parameters optimization of complex end milling process based on virtual machining. Journal of Intelligent Manufacturing 31:4, pages 967-984.
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Alexandre Voisin, Thomas Laloix, Benoît Iung & Eric Romagne. (2018) Predictive Maintenance and part quality control from joint product-process-machine requirements: application to a machine tool. Procedia Manufacturing 16, pages 147-154.
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Peng Xu & Rong-Shean Lee. (2016) Feedrate optimization based on hybrid forward-reverse mappings of artificial neural networks for five-axis milling. The International Journal of Advanced Manufacturing Technology 87:9-12, pages 3033-3049.
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