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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
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The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Bahloul, A., Djebara, A., Saidi, M. N., Songmene, V., Villalpando, F., & Reggio, M. (2019). Computational and Experimental Analysis of Ultrafine Particle Dispersion During Granite Polishing. Aerosol Science and Engineering, 3(1), 21-31. External link
Bahloul, A., Jorge, R. F. V., Djebara, A., Songmene, V., Saidi, M. N., Kouam, J., Reggio, M., & Villalpando, F. (2019). Transformation du granit : caractérisation et contrôle de la poussière de la silice émise par le polissage. (Technical Report n° R-1054). External link
Javadi, H., Jomaa, W., Songmene, V., Brochu, M., & Bocher, P. (2019). Inconel 718 Superalloy Controlled Surface Integrity for Fatigue Applications Produced by Precision Turning. International Journal of Precision Engineering and Manufacturing, 20(8), 1297-1310. External link
Jomaa, W., Mechri, O., Lévesque, J., Songmene, V., Bocher, P., & Gakwaya, A. (2017). Finite element simulation and analysis of serrated chip formation during high–speed machining of AA7075–T651 alloy. Journal of Manufacturing Processes, 26, 446-458. External link
Jomaa, W., Songmene, V., & Bocher, P. (2017). Predictive analytical modeling of cutting forces generated by high-speed machining of ductile and hard metals. Machining Science and Technology, 21(3), 335-361. External link
Jomaa, W., Mechri, O., Lévesque, J., Songmene, V., Bocher, P., & Gakwaya, A. (2016, September). Finite element analysis of serrated chip formation in machining of 7075-t651 aluminum alloy [Paper]. International Mineral Processing Congress (IMPC 2016), Québec, Québec. Unavailable
Jomaa, W., Songmene, V., & Bocher, P. (2016). An Hybrid Approach Based on Machining and Dynamic Tests Data for the Identification of Material Constitutive Equations. Journal of Materials Engineering and Performance, 25(3), 1010-1027. External link
Jomaa, W., Songmene, V., & Bocher, P. (2016). An Investigation of Machining-Induced Residual Stresses and Microstructure of Induction-Hardened AISI 4340 Steel. Materials and Manufacturing Processes, 31(7), 838-844. External link
Jomaa, W., Songmene, V., & Bocher, P. (2014). Surface Finish and Residual Stresses Induced by Orthogonal Dry Machining of AA7075-T651. Materials, 7(3), 1603-1624. External link
Niknam, S. A., Saberi, M., Kouam, J., Hashemi, R., Songmene, V., & Balazinski, M. (2019). Ultrafine and fine particle emission in turning titanium metal matrix composite (Ti-MMC). Journal of Central South University, 26(6), 1563-1572. External link
Shnfir, M., Olufayo, O. A., Jomaa, W., & Songmene, V. (2019). Machinability Study of Hardened 1045 Steel When Milling with Ceramic Cutting Inserts. Materials, 12(23), 3974 (21 pages). External link
Sadeghifar, M., Sedaghati, R., Jomaa, W., & Songmene, V. (2018). A comprehensive review of finite element modeling of orthogonal machining process: chip formation and surface integrity predictions. International Journal of Advanced Manufacturing Technology, 96(9), 3747-3791. External link
Sadeghifar, M., Sedaghati, R., Jomaa, W., & Songmene, V. (2018). Finite element analysis and response surface method for robust multi-performance optimization of radial turning of hard 300M steel. International Journal of Advanced Manufacturing Technology, 94(5), 2457-2474. External link
