Výsledky vyhledávání - "Jean-Philippe Pernot"

SMA-Net: Deep learning-based identification and fitting of CAD models from point clouds

Autor: Sijie Hu, Arnaud Polette, Jean-Philippe Pernot

Publikováno v: Engineering with Computers
Engineering with Computers, 2022, 38 (6), pp.5467-5488. ⟨10.1007/s00366-022-01648-z⟩

International audience; Identifcation and ftting is an important task in reverse engineering and virtual/augmented reality. Compared to the traditional approaches, carrying out such tasks with a deep learning-based method have much room to exploit. T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90c9533fdb7fa824681c567d5ede7843
https://doi.org/10.1007/s00366-022-01648-z

Zobrazit plný text záznamu

Automatic CAD Assemblies Generation by Linkage Graph Overlay for Machine Learning Applications

Autor: Lucas Vergez, Jean-Philippe Pernot, Arnaud Polette

Publikováno v: Computer-Aided Design and Applications. 19:722-732

Enlarging 3D model databases by shape synthesis is a large field of research. Indeed, the use of machine learning techniques requires a huge amount of labeled CAD models, and it is therefore crucial to rely on large and varied databases. Most of exis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92ed729e75f37946b291f33688053723
https://doi.org/10.14733/cadaps.2022.722-732

Zobrazit plný text záznamu

Sensitivity Analysis for Simulated Annealing-Based Fitting of CAD Models to Point Clouds of Digitized Parts

Autor: F. Giannini, Marina Monti, Arnaud Polette, Ghazanfar Ali Shah, Jean-Philippe Pernot

Publikováno v: Lecture Notes in Mechanical Engineering
Advances on Mechanics, Design Engineering and Manufacturing III
Lecture Notes in Mechanical Engineering ISBN: 9783030705657
International Joint Conference on Mechanics, Design Engineering and Advanced Manufacturing (JCM 2020), pp. 274–280, Aix-en-Provence, France, 2-4 June, 2020
info:cnr-pdr/source/autori:A. Shah Ghazanfar, A. Polette, J-P. Pernot, F. Giannini and M. Monti/congresso_nome:International Joint Conference on Mechanics, Design Engineering and Advanced Manufacturing (JCM 2020)/congresso_luogo:Aix-en-Provence, France/congresso_data:2-4 June, 2020/anno:2021/pagina_da:274/pagina_a:280/intervallo_pagine:274–280

This paper addresses the way a simulated annealing-based fitting strategy can be enhanced by leveraging a sensitivity analysis able to characterize the impact of the variations in the parameters of a CAD model on the evolution of the deviation betwee

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37a43bb5053a764e6ce38a8854f48aa8

Zobrazit plný text záznamu

Case-based tuning of a metaheuristic algorithm exploiting sensitivity analysis and design of experiments for reverse engineering applications

Autor: Ghazanfar Ali Shah, Arnaud Polette, Jean-Philippe Pernot, Franca Giannini, Marina Monti

Publikováno v: Engineering with computers (2022). doi:10.1007/s00366-022-01650-5
info:cnr-pdr/source/autori:G.A. Shah, A. Polette, J-P. Pernot, F. Giannini, and M. Monti/titolo:Case-based tuning of a metaheuristic algorithm exploiting sensitivity analysis and design of experiments for reverse engineering applications/doi:10.1007%2Fs00366-022-01650-5/rivista:Engineering with computers/anno:2022/pagina_da:/pagina_a:/intervallo_pagine:/volume

Due to its capacity to evolve in a large solution space, the Simulated Annealing (SA) algorithm has shown very promising results for the Reverse Engineering of editable CAD geometries including parametric 2D sketches, 3D CAD parts and assem blies. Ho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50f290cdb274048c33dfb6207bc422d3
https://doi.org/10.1007/s00366-022-01650-5

Zobrazit plný text záznamu

Parametric design of graded truss lattice structures for enhanced thermal dissipation

Autor: Laurent Chougrani, Philippe Veron, Jean-Philippe Pernot, Benjamin Vaissier

Publikováno v: Computer-Aided Design
Computer-Aided Design, Elsevier, 2019, 115, pp.1-12. ⟨10.1016/j.cad.2019.05.022⟩

International audience; Truss lattice structures are intricate geometries, whose fabrication has recently been simplified by the development of Additive Manufacturing (AM) technologies. These lightweight geometries present great volume densities and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca1ce537fc3a9c7a3ca2203d6f1067af
https://doi.org/10.1016/j.cad.2019.05.022

Zobrazit plný text záznamu

Content-based CAD assembly model retrieval: Survey and future challenges

Autor: Katia Lupinetti, Jean-Philippe Pernot, Marina Monti, Franca Giannini

Publikováno v: Computer-Aided Design
Computer-Aided Design, Elsevier, 2019, 113, pp.62-81. ⟨10.1016/j.cad.2019.03.005⟩
Computer Aided Design 113 (2019): 62–81. doi:10.1016/j.cad.2019.03.005
info:cnr-pdr/source/autori:K. Lupinetti, F. Giannini, M. Monti, J-P. Pernot/titolo:Content-based CAD assembly model retrieval: Survey and future challenges/doi:10.1016%2Fj.cad.2019.03.005/rivista:Computer Aided Design/anno:2019/pagina_da:62/pagina_a:81/intervallo_pagine:62–81/volume:113

International audience; Currently, the content-based retrieval is a problem of major interest in several different fields and, focusing on mechanical engineering, many approaches exist to compare and retrieve single CAD parts, to evaluate shape simil

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::602a132d864a84abd66758346a5ed1f0
https://doi.org/10.1016/j.cad.2019.03.005

Zobrazit plný text záznamu

As-scanned Point Clouds Generation for Virtual Reverse Engineer-ing of CAD Assembly Models

Autor: Jérémy Montlahuc, Arnaud Polette, Ghazanfar Ali Shah, Jean-Philippe Pernot

Publikováno v: Computer-Aided Design and Applications
Computer-Aided Design and Applications, 2019, 16 (6), pp.1171-1182. ⟨10.14733/cadaps.2019.1171-1182⟩

International audience; This paper introduces a new approach for the generation of as-scanned point clouds of CAD assembly models. The resulting point clouds incorporate various realistic artifacts that would appear if the corresponding real objects

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06b5b666c4a11a0a54cefc039b71cf86
https://doi.org/10.14733/cadaps.2019.1171-1182

Zobrazit plný text záznamu

Geometric Over-Constraints Detection: A Survey

Autor: Hao Hu, Mathias Kleiner, Jean-Philippe Pernot, Chao Zhang, Yanjia Huang, Qian Zhao, Sunny Yeung

Currently, geometric over-constraints detection is of major interest in several diferent felds. In terms of product development process (PDP), many approaches exist to compare and detect geometric over-constraints, to decompose geometric systems, to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ac9d1218f5ca16f8c97b3f54bc13030
https://hdl.handle.net/10985/22856

Zobrazit plný text záznamu

Machine Learning-Based Reverse Modeling Approach for Rapid Tool Shape Optimization in Die-Sinking Micro Electro Discharge Machining

Autor: Pierre Kerfriden, Romain Lepert, Anthony Surleraux, Jean-Philippe Pernot, Samuel Bigot

Publikováno v: Journal of Computing and Information Science in Engineering
Journal of Computing and Information Science in Engineering, American Society of Mechanical Engineers, 2020, 20 (3), ⟨10.1115/1.4045956⟩

This paper focuses on efficient computational optimization algorithms for the generation of micro electro discharge machining (µEDM) tool shapes. In a previous paper, the authors presented a reliable reverse modeling approach to perform such tasks b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a63ea9a7428a3f4bf239959286e69f7
https://hal.archives-ouvertes.fr/hal-02540168

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání