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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.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
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.
Châtelain, J.-F., & Fortin, C. (2001). A Balancing Technique for Optimal Blank Part Machining. Precision Engineering, 25(1), 13-23. External link
Daoud, M., Jomaa, W., Châtelain, J.-F., Bouzid, A.-H., & Songmené, V. (2014, June). Identification of Material Constitutive Law Constants Using Machining Tests: A Response Surface Methodology Based Approach [Paper]. 2014 International Conference on High Performance and Optimum Design of Structures and Materials (HPSM/OPTI 2014), Ostende, Belgique. Published in WIT Transactions on The Built Environment, 137. External link
Jamshidi, M., Châtelain, J.-F., Rimpault, X., & Balazinski, M. (2022). Tool condition monitoring based on the fractal analysis of current and cutting force signals during CFRP trimming. International Journal of Advanced Manufacturing Technology, 121(11-12), 8127-8142. External link
Jamshidi, M., Châtelain, J.-F., Rimpault, X., & Balazinski, M. (2022). Tool Condition Monitoring Using Machine Tool Spindle Electric Current and Multiscale Analysis while Milling Steel Alloy. Journal of Manufacturing and Materials Processing, 6(5), 115 (12 pages). External link
Jomaa, W., Daoud, M., Songmené, V., Bocher, P., & Châtelain, J.-F. (2014, November). Identification and Validation of Marusich's Constitutive Law for Finite Element Modeling of High Speed Machining [Paper]. ASME 2014 International Mechanical Engineering Congress and Exposition, Montréal, Québec (6 pages). External link
Mechta, A., Slamani, M., Zaoui, M., Mayer, J. R. R., & Châtelain, J.-F. (2022). Correlation assessment and modeling of intra-axis errors of prismatic axes for CNC machine tools. International Journal of Advanced Manufacturing Technology, 120(7-8), 5093-5115. External link
Rimpault, X., Châtelain, J.-F., Sapieha, J.-E., & Balazinski, M. (2017). Tool wear and surface quality assessment of CFRP trimming using fractal analyses of the cutting force signals. CIRP Journal of Manufacturing Science and Technology, 16, 72-80. External link
Rimpault, X., Châtelain, J.-F., Sapieha, J.-E., & Balazinski, M. (2016). Surface profile texture characterization of trimmed laminated composite in the stacking sequence direction. Journal of the International Measurement Confederation, 91, 84-92. External link
Slamani, M., Elhadi, A., Amroune, S., Arslane, M., Jomaa, W., Fouad, H., Châtelain, J.-F., & Jawaid, M. (2024). Investigating the impact of drill material on hole quality in jute/palm fiber reinforced hybrid composite drilling with uncertainty analysis. Heliyon, 10(17), e36925 (23 pages). Available
