Documents dont l'auteur est "Khameneifar, Farbod"

Farbod KhameneifarDépartement de génie mécaniqueVoir sa fiche dans le Répertoire des Expertises de Polytechnique Montréal

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Bonin, R., Khameneifar, F., & Mayer, J. R. R. (2021). Evaluation of the Metrological Performance of a Handheld 3D Laser Scanner Using a Pseudo-3D Ball-Lattice Artifact. Sensors, 21(6), 2137 (18 pages). Disponible

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Ghorbani, H., & Khameneifar, F. (juillet 2020). Scan-to-CAD alignment of damaged airfoil blade point clouds through geometric dissimilarity assessment [Communication écrite]. 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME 2021), Gulf of Naples, Italy (5 pages). Publié dans Procedia CIRP, 112. Disponible

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. Lien externe

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. Lien externe

Ghorbani, H., & Khameneifar, F. (2021). Airfoil profile reconstruction from unorganized noisy point cloud data. Journal of Computational Design and Engineering, 8(2), 740-755. Lien externe

Gondran, M., Abdin, Y., Gendreau, Y., Khameneifar, F., & Laberge Lebel, L. (2021). Automated braiding of non-axisymmetric structures using an iterative inverse solution with angle control. Composites Part A: Applied Science and Manufacturing, 143, 13 pages. Lien externe

Gondran, M., Laberge Lebel, L., & Khameneifar, F. (décembre 2019). Development of an iterative braiding model with angle control and thickness measurement [Affiche]. Colloque Annuel du Centre de Recherche sur les Systèmes Polymères et Composites à haute performance CREPEC, Québec, Québec. Non disponible

Ghandali, P., Khameneifar, F., & Mayer, J. R. R. (2019). A pseudo-3D ball lattice artifact and method for evaluating the metrological performance of structured-light 3D scanners. Optics and Lasers in Engineering, 121, 87-95. Lien externe

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Jadayel, M., & Khameneifar, F. (mai 2023). A novel setup for in-process geometric inspection of 3D printed parts via structured-light 3D scanning [Communication écrite]. International Congress of the Canadian Society of Mechanical Engineering (CSME 2023), Sherbrooke, QC, Canada. Lien externe

Jadayel, M., & Khameneifar, F. (juillet 2023). Structured-light 3D scanning performance in offline and in-process measurement of 3D printed parts [Communication écrite]. 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME 2023), Gulf of Naples, Italy. Non disponible

Jadayel, M., & Khameneifar, F. (juin 2022). 3D scan data-based shape compensation using graph U-Nets to correct the systematic geometric errors of additive manufacturing parts [Affiche]. 5th Holistic Innovation in Additive Manufacturing Conference (HI-AM 2022), Montréal, Québec. Lien externe

Jadayel, M., & Khameneifar, F. (juin 2021). A shape Compensation Approach for Enhancing the Geometric Accuracy of Additive Manufacturing Parts [Résumé]. 4th Holistic Innovation in Additive Manufacturing Conference (HI-AM 2021). Lien externe

Jadayel, M., & Khameneifar, F. (2020). Improving geometric accuracy of 3D printed parts using 3D metrology feedback and mesh morphing. Journal of Manufacturing and Materials Processing, 4(4), 112 (15 pages). Disponible

Jadayel, M., & Khameneifar, F. (juin 2020). Improving the geometric accuracy of additive manufactured parts via 3D metrology feedback and CAD morphing [Affiche]. 3rd Holistic Innovation in Additive Manufacturing Conference (HI-AM 2020). Non disponible

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Khameneifar, F. (juin 2019). Innovative strategies for assessing the metrological performance of optical 3D scanners [Résumé]. International Congress of the Canadian Society for Mechanical Engineering (CSME 2019), London, Ontario. Non disponible

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. Lien externe

Khameneifar, F., & Ghorbani, H. (juillet 2018). Estimating principal curvatures in noisy point clouds through local quadric surface fitting [Communication écrite]. 15th Annual International CAD Conference (CAD 2018), Paris, France. Lien externe

Khameneifar, F., & Feng, H.-Y. (2017). Establishing a balanced neighborhood of discrete points for local quadric surface fitting. Computer-Aided Design, 84, 25-38. Lien externe

Khameneifar, F., & Feng, H.-Y. (2017). Extracting sectional contours from scanned point clouds via adaptive surface projection. International Journal of Production Research, 55(15), 4466-4480. Lien externe

Khameneifar, F., & Feng, H.-Y. (mai 2017). Section-specific inspection of free-form surfaces via optical 3D scanning [Communication écrite]. 6th International Conference on Virtual Machining Process Technology (VMPT 2017), Montréal, Québec. Non disponible

Khameneifar, F., & Feng, H.-Y. (2016). A new methodology for evaluating position and orientation errors of airfoil sections. International Journal of Advanced Manufacturing Technology, 83(5-8), 1013-1023. Lien externe

Khameneifar, F. (2015). Section-specific geometric error evaluation of airfoil blades based on digitized surface data [Thèse de doctorat, University of British Columbia]. Lien externe

Khameneifar, F., & Feng, H.-Y. (2014). Airfoil profile reconstruction under the uncertainty of inspection data points. International Journal of Advanced Manufacturing Technology, 71(1-4), 675-683. Lien externe

Khameneifar, F., & Feng, H.-Y. (mai 2014). Neighborhood identification for scanned point clouds in airfoil blade inspection [Communication écrite]. 3rd CIRP International Conference on Virtual Machining Process Technology (VMPT 2014), Calgary, AB. Non disponible

Khameneifar, F., Feng, H.-Y., Delorme, F.-É., & Engin, S. (mai 2013). An improved method for closed nonperiodic B-spline curve approximation [Communication écrite]. 2nd CIRP International Conference on Virtual Machining Process Technology (VMPT 2013), Hamilton, ON. Non disponible

Khameneifar, F., Arzanpour, S., & Moallem, M. (2013). A Piezoelectric Energy Harvester for Rotary Motion Applications: Design and Experiments. IEEE/ASME Transactions on Mechatronics, 18(5), 1527-1534. Lien externe

Khameneifar, F., Moallem, M., & Arzanpour, S. (2011). Modeling and Analysis of a Piezoelectric Energy Scavenger for Rotary Motion Applications. Journal of Vibration and Acoustics, 133(1), 6 pages. Lien externe

Khameneifar, F. (2011). Vibration-based piezoelectric energy harvesting system for rotary motion applications [Mémoire de maîtrise, Simon Fraser University]. Lien externe

Khameneifar, F., Arzanpour, S., & Moallem, M. (novembre 2010). Piezo-Actuated Active Decoupler Hydraulic Engine Mount [Communication écrite]. ASME International Mechanical Engineering Congress and Exposition, Vancouver, British Columbia. Lien externe

Khameneifar, F., Arzanpour, S., & Moallem, M. (novembre 2010). Vibration Energy Harvesting From a Hydraulic Engine Mount via PZT Decoupler [Communication écrite]. ASME International Mechanical Engineering Congress and Exposition, Vancouver, British Columbia. Lien externe

Khameneifar, F., & Arzanpour, S. (octobre 2008). Energy Harvesting From Pneumatic Tires Using Piezoelectric Transducers [Communication écrite]. ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, Ellicott City, Maryland. Lien externe

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Latulippe, M., Khameneifar, F., & Mayer, J. R. R. (mai 2023). Correction of the systematic errors of 3D scanner measurements by data fusion with CMM data [Communication écrite]. International Congress of the Canadian Society of Mechanical Engineering (CSME 2023), Sherbrooke, QC, Canada. Lien externe

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Sepahi-Boroujeni, S., & Khameneifar, F. (2024). Digital twin-enabled error and uncertainty mapping for 3D scanning. Precision Engineering, 88, 527-539. Lien externe

Sepahi-Boroujeni, S., Mayer, J. R. R., & Khameneifar, F. (juillet 2020). Prompt uncertainty estimation with GUM framework for on-machine tool coordinate metrology [Communication écrite]. 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME 2021), Gulf of Naples, Italy. Publié dans Procedia CIRP, 112. Disponible

Siguerdidjane, W., Khameneifar, F., & Gosselin, F. (2022). Closed-loop shot peen forming with in-process measurement and optimization. CIRP Journal of Manufacturing Science and Technology, 38, 500-508. Lien externe

Siguerdidjane, W., Khameneifar, F., & Gosselin, F. (2022). A low-cost open-source automated shot peen forming system. HardwareX, 11, e00263 (13 pages). Lien externe

Sepahi-Boroujeni, S., Mayer, J. R. R., & Khameneifar, F. (2021). Efficient uncertainty estimation of indirectly measured geometric errors of five-axis machine tools via Monte-Carlo validated GUM framework. Precision Engineering, 67, 160-171. Lien externe

Sepahi-Boroujeni, S., Mayer, J. R. R., Khameneifar, F., & Wozniak, A. (2021). A full-covariance uncertainty assessment in on-machine probing. International Journal of Machine Tools and Manufacture, 167, 12 pages. Lien externe

Siguerdidjane, W., Khameneifar, F., & Gosselin, F. (2020). Efficient planning of peen-forming patterns via artificial neural networks. Manufacturing Letters, 25, 70-74. Lien externe

Sepahi-Boroujeni, S., Mayer, J. R. R., & Khameneifar, F. (2020). Repeatability of on-machine probing by a five-axis machine tool. International Journal of Machine Tools and Manufacture, 152, 19 pages. Lien externe

Siguerdidjane, W., Khameneifar, F., Gosselin, F., & Levasseur, G. (mars 2019). A deep learning approach to solving the peen forming inverse problem [Résumé]. APS March Meeting 2019, Boston, Massachusetts. Publié dans Bulletin of the American Physical Society, 64(2). Lien externe