Nothing Special   »   [go: up one dir, main page]

Snodderly et al., 2022 - Google Patents

Dimensional variability characterization of additively manufactured lattice coupons

Snodderly et al., 2022

View HTML @Full View
Document ID
7077541763325391191
Author
Snodderly K
Fogarasi M
Badhe Y
Parikh A
Porter D
Burchi A
Gilmour L
Di Prima M
Publication year
Publication venue
3D Printing in Medicine

External Links

Snippet

Background Additive manufacturing (AM), commonly called 3D Printing (3DP), for medical devices is growing in popularity due to the technology's ability to create complex geometries and patient-matched products. However, due to the process variabilities which can exist …
Continue reading at link.springer.com (HTML) (other versions)

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
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE, IN GENERAL
    • B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
    • B29C67/00—Shaping techniques not covered by groups B29C39/00 - B29C65/00, B29C70/00 or B29C73/00
    • B29C67/0051—Rapid manufacturing and prototyping of 3D objects by additive depositing, agglomerating or laminating of plastics material, e.g. by stereolithography or selective laser sintering
    • B29C67/0074—Rapid manufacturing and prototyping of 3D objects by additive depositing, agglomerating or laminating of plastics material, e.g. by stereolithography or selective laser sintering using only solid materials, e.g. laminating sheet material precut to local cross sections of the 3D object
    • B29C67/0077—Rapid manufacturing and prototyping of 3D objects by additive depositing, agglomerating or laminating of plastics material, e.g. by stereolithography or selective laser sintering using only solid materials, e.g. laminating sheet material precut to local cross sections of the 3D object using layers of powder being selectively joined, e.g. by selective laser sintering or melting

Similar Documents

Publication Publication Date Title
Chowdhury et al. Part build orientation optimization and neural network-based geometry compensation for additive manufacturing process
Li et al. Integration of physically-based and data-driven approaches for thermal field prediction in additive manufacturing
Leary Surface roughness optimisation for selective laser melting (SLM): accommodating relevant and irrelevant surfaces
Redaelli et al. 3D printing orthopedic scoliosis braces: a test comparing FDM with thermoforming
Chohan et al. Enhancing dimensional accuracy of FDM based biomedical implant replicas by statistically controlled vapor smoothing process
Galati et al. Surface roughness prediction model for Electron Beam Melting (EBM) processing Ti6Al4V
Singh et al. Repeatability of linear and radial dimension of ABS replicas fabricated by fused deposition modelling and chemical vapor smoothing process: a case study
Singh et al. Investigations for improving the surface finish of FDM based ABS replicas by chemical vapor smoothing process: a case study
Ma et al. An adaptive slicing and selective hatching strategy for layered manufacturing
Paul et al. A combined energy and error optimization method for metal powder based additive manufacturing processes
Jee et al. A visual simulation technique for 3D printing
Taufik et al. Part surface quality improvement studies in fused deposition modelling process: a review
Mallepree et al. Accuracy of medical RP models
Schmutzler et al. Pre-compensation of warpage for additive manufacturing
Paul Modeling and optimization of powder based additive manufacturing (AM) processes
Snodderly et al. Dimensional variability characterization of additively manufactured lattice coupons
Liu et al. Sample-based synthesis of functionally graded material structures
Singh et al. Investigations for surface roughness and dimensional accuracy of biomedical implants prepared by combining fused deposition modelling, vapour smoothing and investment casting
Ullah et al. Prediction and validation of melt pool dimensions and geometric distortions of additively manufactured AlSi10Mg
Świderski et al. The study of the roundness and cylindricity deviations of parts produced with the use of the additive manufacturing
Wang et al. Machine learning unifies flexibility and efficiency of spinodal structure generation for stochastic biomaterial design
Müller et al. Development of a density-based topology optimization of homogenized lattice structures for individualized hip endoprostheses and validation using micro-FE
Eswaran et al. Investigations on acute angle parts fabricated fusion deposition modelling parts volumetric shrinkage and surface roughness
Mukhangaliyeva et al. Optimization of Dimensional Accuracy and Surface Roughness of SLA Patterns and SLA-Based IC Components
Rajamani et al. Prediction and analysis of surface roughness in selective inhibition sintered high-density polyethylene parts: A parametric approach using response surface methodology–grey relational analysis