Littérature scientifique sur le sujet « Geometrical deviation model »
Créez une référence correcte selon les styles APA, MLA, Chicago, Harvard et plusieurs autres
Consultez les listes thématiques d’articles de revues, de livres, de thèses, de rapports de conférences et d’autres sources académiques sur le sujet « Geometrical deviation model ».
À côté de chaque source dans la liste de références il y a un bouton « Ajouter à la bibliographie ». Cliquez sur ce bouton, et nous générerons automatiquement la référence bibliographique pour la source choisie selon votre style de citation préféré : APA, MLA, Harvard, Vancouver, Chicago, etc.
Vous pouvez aussi télécharger le texte intégral de la publication scolaire au format pdf et consulter son résumé en ligne lorsque ces informations sont inclues dans les métadonnées.
Articles de revues sur le sujet "Geometrical deviation model":
Tabar, Roham Sadeghi, Kristina Wärmefjord et Rikard Söderberg. « A new surrogate model–based method for individualized spot welding sequence optimization with respect to geometrical quality ». International Journal of Advanced Manufacturing Technology 106, no 5-6 (19 décembre 2019) : 2333–46. http://dx.doi.org/10.1007/s00170-019-04706-x.
Huang, Zhicheng, Jean-Yves Dantan, Alain Etienne, Mickaël Rivette et Nicolas Bonnet. « Geometrical deviation identification and prediction method for additive manufacturing ». Rapid Prototyping Journal 24, no 9 (12 novembre 2018) : 1524–38. http://dx.doi.org/10.1108/rpj-07-2017-0137.
Nguyen, Dinh Son, Frederic Vignat et Daniel Brissaud. « Geometrical Deviation Model of product throughout its life cycle ». International Journal of Manufacturing Research 6, no 3 (2011) : 236. http://dx.doi.org/10.1504/ijmr.2011.041128.
Polini, Wilma, et Andrea Corrado. « A Unique Model to Estimate Geometric Deviations in Drilling and Milling Due to Two Uncertainty Sources ». Applied Sciences 11, no 5 (24 février 2021) : 1996. http://dx.doi.org/10.3390/app11051996.
Sánchez-Sola, José Miguel, Moisés Batista, Jorge Salguero, Alvaro Gómez et Mariano Marcos Bárcena. « Cutting Speed-Feed Based Parametric Model for Macro-Geometrical Deviations in the Dry Turning of UNS A92024 Al-Cu Alloys ». Key Engineering Materials 504-506 (février 2012) : 1311–16. http://dx.doi.org/10.4028/www.scientific.net/kem.504-506.1311.
Dash, Satabdee, et Axel Nordin. « TOWARDS REALISTIC NUMERICAL MODELLING OF THIN STRUT-BASED 3D-PRINTED STRUCTURES ». Proceedings of the Design Society 3 (19 juin 2023) : 3591–600. http://dx.doi.org/10.1017/pds.2023.360.
Zhao, Binbin, Yunlong Wang, Qingchao Sun, Yuanliang Zhang, Xiao Liang et Xuewei Liu. « Monomer model : an integrated characterization method of geometrical deviations for assembly accuracy analysis ». Assembly Automation 41, no 4 (26 juin 2021) : 514–23. http://dx.doi.org/10.1108/aa-11-2020-0165.
Liu, Xueshu, Yuxing Yang, Li Huang, Ping Zhang et Hang Gao. « Numerical Analysis of the Influences of Geometrical Deviation on Delamination in Composite Laminates around the Countersunk Hole ». International Journal of Aerospace Engineering 2018 (2018) : 1–11. http://dx.doi.org/10.1155/2018/5061948.
Kwintarini, Widyanti, Agung Wibowo et Yatna Yuwana Martawirya. « Mathematical Approach for Geometric Error Modeling of Three Axis CNC Vertical Milling Machine ». Applied Mechanics and Materials 842 (juin 2016) : 303–10. http://dx.doi.org/10.4028/www.scientific.net/amm.842.303.
Dionisius, Felix, Sugiri ,, Tito Endramawan et Emin Haris. « Geometrical Study of Channel Profile under Incremental Forming Process : Numerical Simulation ». Journal of Mechanical Engineering 16, no 2 (1 août 2019) : 1–10. http://dx.doi.org/10.24191/jmeche.v16i2.15322.
Thèses sur le sujet "Geometrical deviation model":
Nguyen, Dinh Son. « The impact of geometrical deviations on product life cycle ». Grenoble INPG, 2010. https://theses.hal.science/tel-00561475.
Today requirements of customers concerning product they would like to purchase, such as quality, reliability, robustness, innovativeness and cost are more and more tight and high. Thus, product designer must ensure that the designed product meets fully the requirements of customers and users as well. In other words, satisfaction of these plays an important role in the context of design product-process. The research work presented in my thesis is a complete answer for management of geometrical variations throughout the product life cycle. In fact, the geometrical deviation model introduced in my thesis allows to model geometrical deviations generated from the manufacturing to assembly stage of the product life cycle. Monte-Carlo simulation method is then used to generate an image of the real manufactured product. As a result, the geometrical deviations are integrated into simulation of product performance in order to establish the relationship between the performance and the parameters of geometrical deviations or variation sources. An image of the real performance of the manufactured product is generated by using the result of geometrical deviations simulation. From the result of performance simulation, the parameters of variation sources influencing the product performance are identified and classified according to their impact level. The variance of the product performance variation is established by two different approaches based on the relation between the performance and the parameters of geometrical deviations or variation sources. Finally, the robust design solution can be found by minimization of the variance of the product performance variation
Zhu, Zuowei. « Modèles géométriques avec defauts pour la fabrication additive ». Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLN021/document.
The intricate error sources within different stages of the Additive Manufacturing (AM) process have brought about major issues regarding the dimensional and geometrical accuracy of the manufactured product. Therefore, effective modeling of the geometric deviations is critical for AM. The Skin Model Shapes (SMS) paradigm offers a comprehensive framework aiming at addressing the deviation modeling problem at different stages of product lifecycle, and is thus a promising solution for deviation modeling in AM. In this thesis, considering the layer-wise characteristic of AM, a new SMS framework is proposed which characterizes the deviations in AM with in-plane and out-of-plane perspectives. The modeling of in-plane deviation aims at capturing the variability of the 2D shape of each layer. A shape transformation perspective is proposed which maps the variational effects of deviation sources into affine transformations of the nominal shape. With this assumption, a parametric deviation model is established based on the Polar Coordinate System which manages to capture deviation patterns regardless of the shape complexity. This model is further enhanced with a statistical learning capability to simultaneously learn from deviation data of multiple shapes and improve the performance on all shapes.Out-of-plane deviation is defined as the deformation of layer in the build direction. A layer-level investigation of out-of-plane deviation is conducted with a data-driven method. Based on the deviation data collected from a number of Finite Element simulations, two modal analysis methods, Discrete Cosine Transform (DCT) and Statistical Shape Analysis (SSA), are adopted to identify the most significant deviation modes in the layer-wise data. The effect of part and process parameters on the identified modes is further characterized with a Gaussian Process (GP) model. The discussed methods are finally used to obtain high-fidelity SMSs of AM products by deforming the nominal layer contours with predicted deviations and rebuilding the complete non-ideal surface model from the deformed contours. A toolbox is developed in the MATLAB environment to demonstrate the effectiveness of the proposed methods
Chapitres de livres sur le sujet "Geometrical deviation model":
Paquet, Elodie, Sébastien Le Loch, Benoit Furet, Alain Bernard et Sébastien Garnier. « Numerical Simulation and Experimentation of Additive Manufacturing Processes with Polyurethane Foams ». Dans Lecture Notes in Mechanical Engineering, 48–54. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70566-4_9.
Sardina, Jeffrey, Callie Sardina, John D. Kelleher et Declan O’Sullivan. « Analysis of Attention Mechanisms in Box-Embedding Systems ». Dans Communications in Computer and Information Science, 68–80. Cham : Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_6.
Tofallis, Chris. « Model Fitting for Multiple Variables by Minimising the Geometric Mean Deviation ». Dans Total Least Squares and Errors-in-Variables Modeling, 261–67. Dordrecht : Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-3552-0_23.
Grošelj, Petra, et Gregor Dolinar. « A Geometric Standard Deviation Based Soft Consensus Model in Analytic Hierarchy Process ». Dans Contributions to Management Science, 281–316. Cham : Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-030-52406-7_11.
Rosso, Stefano, Andrea Curtarello, Federico Basana, Luca Grigolato, Roberto Meneghello, Gianmaria Concheri et Gianpaolo Savio. « Modeling Symmetric Minimal Surfaces by Mesh Subdivision ». Dans Lecture Notes in Mechanical Engineering, 249–54. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70566-4_40.
Peterson, Eric, et Bhavleen Kaur. « Printing Compound-Curved Sandwich Structures with Robotic Multi-Bias Additive Manufacturing ». Dans Computational Design and Robotic Fabrication, 526–36. Singapore : Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8405-3_44.
López-Correa, Juan Manuel, Caroline König et Alfredo Vellido. « Long Short-Term Memory to Predict 3D Amino Acids Positions in GPCR Molecular Dynamics ». Dans Frontiers in Artificial Intelligence and Applications. IOS Press, 2022. http://dx.doi.org/10.3233/faia220339.
Actes de conférences sur le sujet "Geometrical deviation model":
Gao, Chang, Haidong Yu et Bin Gu. « A New Deviation Propagation Model Combining Dimensional Deviation and Welding Deformation of Panel Structures With High Local Stiffness ». Dans ASME 2023 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/imece2023-112739.
Chatterjee, Monish R., et Shih-Tun Chen. « A Geometrical Derivation of WRITE Beam Criteria for Multiplexed Color Hologram Readout Using Wavevector Triads ». Dans Holography. Washington, D.C. : Optica Publishing Group, 1996. http://dx.doi.org/10.1364/holography.1996.htud.3.
Schleich, Benjamin, et Sandro Wartzack. « Motion Tolerancing Based on Skin Model Shapes by Form Deviation Parametrization and Meta-Modelling ». Dans ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67227.
Ben Amor, Sabrine, Floriane Zongo, Borhen Louhichi, Antoine Tahan et Vladimir Brailovski. « Dimensional Deviation Prediction Model Based on Scale and Material Concentration Effects for LPBF Process ». Dans 2022 International Additive Manufacturing Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/iam2022-93969.
Lindstro¨m, David E. « Robustness Analysis of Airfoil Performance ». Dans ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28261.
Weihard, Stefan, Andreas Hupfer et Hans-Peter Kau. « Statistical Impact of Manufacturing Tolerances on Axial Gaps Between Vane Segments and the Rotor of Axial Flow Turbo-Compressors ». Dans ASME Turbo Expo 2013 : Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/gt2013-95532.
Tachikawa, Tomokazu, Nobuaki Kurita, Morimasa Nakamura, Daisuke Iba et Ichiro Moriwaki. « Calculation Model for Internal Gear Skiving With a Pinion-Type Cutter Having Pitch Deviation and a Run-Out ». Dans ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46402.
Dong, Yiwei, Qi Zhao, Xiaolin Li, Xiaoji Li et Jun Yang. « Methodology to Develop Geometric Modeling of Accurate Drilled Cooling Holes on Turbine Blades ». Dans ASME Turbo Expo 2017 : Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-63024.
Chen, Pengyuan, Shun Liu, Sun Jin et Qunfei Gu. « Geometric Modeling and Characterization of Wall Thickness for Complex Cylindrical Thin-Walled Parts With Uncertain Manufacturing Deviations ». Dans ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-73185.
Colosimo, B. M. « Robust in-line qualification of lattice structures manufactured via laser powder bed fusion ». Dans Italian Manufacturing Association Conference. Materials Research Forum LLC, 2023. http://dx.doi.org/10.21741/9781644902714-28.
Rapports d'organisations sur le sujet "Geometrical deviation model":
Abrahamson, Norman, et Zeynep Gülerce. Regionalized Ground-Motion Models for Subduction Earthquakes Based on the NGA-SUB Database. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, décembre 2020. http://dx.doi.org/10.55461/ssxe9861.
Foeken, van, et Gresnigt. L51809 Buckling and Collapse of UOE Manufactured Steel Pipes. Chantilly, Virginia : Pipeline Research Council International, Inc. (PRCI), novembre 1998. http://dx.doi.org/10.55274/r0010236.