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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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A 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.
Ghorbani, H., & Khameneifar, F. (2022). Construction of damage-free digital twin of damaged aero-engine blades for repair volume generation in remanufacturing. Robotics and Computer-Integrated Manufacturing, 77, 16 pages. External link
Ghorbani, H., & Khameneifar, F. (2021). Accurate registration of point clouds of damaged aero-engine blades. Journal of Manufacturing Science and Engineering, 143(3), 10 pages. External link
Ghorbani, H., & Khameneifar, F. (2021). Airfoil profile reconstruction from unorganized noisy point cloud data. Journal of Computational Design and Engineering, 8(2), 740-755. External link
Khameneifar, F., & Ghorbani, H. (2019). On the curvature estimation for noisy point cloud data via local quadric surface fitting. Computer-Aided Design and Applications, 16(1), 140-149. External link
Eskandari, B., Davoodi, B., & Ghorbani, H. (2018). Multi-objective optimization of parameters in turning of N-155 iron-nickel-base superalloy using gray relational analysis. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 40(4), 12 pages. External link
Ghorbani, H., & Khameneifar, F. (2020, July). Scan-to-CAD alignment of damaged airfoil blade point clouds through geometric dissimilarity assessment [Paper]. 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME 2021), Gulf of Naples, Italy (5 pages). Published in Procedia CIRP, 112. Available
Khameneifar, F., & Ghorbani, H. (2018, July). Estimating principal curvatures in noisy point clouds through local quadric surface fitting [Paper]. 15th Annual International CAD Conference (CAD 2018), Paris, France. External link
Ghorbani, H. (2022). 3D Scanning-Based Inspection and Repair Geometry Generation for Remanufacturing of Damaged Aeroengine Blades [Ph.D. thesis, Polytechnique Montréal]. Available