Schleich et al., 2022 - Google Patents
Generative adversarial networks for tolerance analysisSchleich et al., 2022
View HTML- Document ID
- 3593866576709651042
- Author
- Schleich B
- Qie Y
- Wartzack S
- Anwer N
- Publication year
- Publication venue
- CIRP Annals
External Links
Snippet
Many activities in design and manufacturing rely on realistic product representations considering geometrical deviations to assess their effects on the product function and quality. Though several approaches for tolerance analysis have been developed, they imply …
- 238000004458 analytical method 0 title abstract description 28
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
- G06F17/5018—Computer-aided design using simulation using finite difference methods or finite element methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/41—Molding
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/78—Power analysis and optimization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
- G06Q30/0202—Market predictions or demand forecasting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2219/00—Indexing scheme for manipulating 3D models or images for computer graphics
- G06T2219/20—Indexing scheme for editing of 3D models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Shi et al. | Manufacturability analysis for additive manufacturing using a novel feature recognition technique | |
Schleich et al. | Generative adversarial networks for tolerance analysis | |
Liu et al. | A realization method for transforming a topology optimization design into additive manufacturing structures | |
Zhang et al. | Two-dimensional placement optimization for multi-parts production in additive manufacturing | |
US10395372B2 (en) | Systems, media, and methods for pre-processing and post-processing in additive manufacturing | |
Cheng et al. | A functional feature modeling method | |
Nolan et al. | Defining simulation intent | |
CN106959669B (en) | Notch detection | |
Chong et al. | Automatic solid decomposition and reduction for non-manifold geometric model generation | |
Ghiasian et al. | From conventional to additive manufacturing: Determining component fabrication feasibility | |
Gao et al. | Connectivity-guaranteed porous synthesis in free form model by persistent homology | |
Mayerhofer et al. | Knowledge-driven manufacturability analysis for additive manufacturing | |
JP2021131854A (en) | Basic learning of deformation | |
Aranburu et al. | How does the modeling strategy influence design optimization and the automatic generation of parametric geometry variations? | |
EP3674958A2 (en) | Modifying additively manufactured part designs using topological analyses | |
Willis et al. | Rapid prototyping 3D objects from scanned measurement data | |
Karniel et al. | Decomposing the problem of constrained surface fitting in reverse engineering | |
Xu et al. | Machining feature recognition from in-process model of NC simulation | |
Samareh | Geometry and grid/mesh generation issues for CFD and CSM shape optimization | |
Zhu et al. | Collision-aware interactive simulation using graph neural networks | |
Williams et al. | Deriving metamodels to relate machine learning quality to design repository characteristics in the context of additive manufacturing | |
Lim et al. | Towards automatic blocking of shapes using evolutionary algorithm | |
Park et al. | Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Prediction | |
CN111968113A (en) | Brain image two-dimensional convolution depth learning method based on optimal transmission mapping | |
KR20240164216A (en) | Mold processing process time prediction apparatus and method thereof |