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Simpleware offers three options for processing and meshing 3D image data: Simpleware full software cracked + crack key download ScanIP: Core image processing platform +FE Module: Integrated module for Mesh generation +NURBS Module: Integrated module for NURBS generation +CAD Module: Bolt-on module for CAD integration New in Version 5.1.
- Oct 9, 2013 - Simpleware offers world-leading software and services for the conversion of 3D image data into robust models suitable for CAD, CFD, FEA and 3D Printing. Simpleware software allows the user to. visualise and analyse complex natural and manmade structures. create robust, accurate FE and CFD meshes for analysis. integrate CAD objects into 3D image data and generate NURBS.
- Synopsys has announced Simpleware Release Q-2020.06, which includes two new modules: “Simpleware AS Cardio” and “Simpleware Design Link”.In addition, the latest version of Simpleware software includes a number of new features and improvements, including support for importing 4D DICOM.
- Apr 14, 2015 3D animated model showing porosity - created in Synopsys Simpleware ScanIP. Try the software: https://www.synopsys.com/simpleware/products/software/trial.html.
The Wikimedia Foundation's Terms of Use require that editors disclose their 'employer, client, and affiliation' with respect to any paid contribution; see WP:PAID. For advice about reviewing paid contributions, see WP:COIRESPONSE.
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Requested update to page for new software release[edit]
I would like to make the following updates to the page to reflect the release of the M-2017.06 release of ScanIP.
These are
Infobox: Stable release update - M-2017.09 - 5 June 2017
First paragraph - change 'The most recent release of Simpleware ScanIP was 2016.09, which launched in September 2016' to 'The most recent release of Simpleware ScanIP was M-2017.06, which launched in June 2017.
Add-on Modules
Remove all '+' signs from modules
Please update or confirm that I can make these changes as a connected contributor. Thanks, Jess. — Preceding unsigned comment added by Simpleware wiki (talk • contribs) 16:20, 12 June 2017 (UTC)
Revision 785377206 by User:Codename Lisa[edit]
Hello, everyone
Revision 785377206 contains extensive changes to the article, so much so that the edit summary was insufficient. Hence, here is a summary of what I did in it:
- Reordered major sections. Previously, the article sections were ordered as 'Import formats', 'Export formats', 'Add-on modules' and 'Application areas'. This clearly suboptimal to most readers. Why must they start with fancruft such as import formats, which is a list of what non-experts consider 'computer gobbledygook'? I re-ordered the sections into 'Application areas', 'Add-on modules', 'Import formats', and 'Export formats'.
- Dissolved the gallery section at the bottom of the article and distributed its contents across the article. One of its images went to the infobox that didn't have a screenshot at the time.
- Removed File:Product image example for Simpleware ScanIP.jpg from the article, as it is not showing anything educational or encyclopedic. It is a vague image at best. It can't even be used as the infobox icon. I will upload that myself shortly.
- MOS:CAPS and MOS:ACRONYM is extensively applied.
- MOS:LAYOUT is applied to 'Application areas' and 'Add-on modules' sections.
- Version number was updated.
- Plus sign from the module names was removed. (Deprecated)
- The 'See also' section was deleted. It is not a 'See again' section after all. Please see WP:SEEALSO.
- Licensing terms was updated
Best regards,
Codename Lisa (talk) 06:18, 13 June 2017 (UTC)
Codename Lisa (talk) 06:18, 13 June 2017 (UTC)
- Hi Lisa - thanks for the edits. Can you please reword the introductory paragraph for ScanIP, as it is not an app but a software program, e.g. 'ScanIP represents 3D image processing and model generation software' and 'The software is used...'
- The use of 'trialware' for the license is also not appropriate - can you please change this to Proprietary commercial software, the same as https://en.wikipedia.org/wiki/Abaqus?
- Thanks,
Codename Lisa (talk) 12:41, 13 June 2017 (UTC)
- Hello, Jess
- Allow me to be frank:
- You have been using the word 'software' wrongly ever since we started this discussion. Judging by how you use it, you seem to think it means 'computer program'. It does not. 'Software', in noun capacity, is an uncountable noun that means 'all computer programs, considered collectively'. So, when people go to the Mimics article and read 'Mimics is an [...] software', they think: an idiot must have written this article; so, it is not probably reliable. 'Mimics is an [...] software' is grammatically and semantically wrong. Of course, in changing the incorrect form 'software', I had many options like 'computer program', 'application', 'software package', 'software offering', etc. but most of these are long, bloated and outdated. What I chose was 'app', which had gained widespread popularity in 2010. Since 2012, Microsoft Windows has started calling ScanIP and other software 'desktop apps' to distinguish it from mobile apps and web apps.
- Wikipedia and the simpleware deliberately write different things. The reason is simple: The simpleware website intends to sell and advertise, hence it uses biased sentences with poor factual accuracy, weasel words, puffery and many other forms of advertisement. Wikipedia, on the other hand, seeks to represent fairly, proportionately, and, as far as possible, without editorial bias, all of the significant views that have been published by reliable sources on a topic.
- You seem afraid that correct grammar might devalue the subject of the article! Maybe you do not know our law, but when an article about something is written on Wikipedia, it must already have accumulated immense fame and value. I have not checked, but if this article is not in this state already, may be I should report it for deletion.
- You wrote:
we need consistency with other software in the same field
. This is the second most hated wrong argument in Wikipedia.
- As for the matter of trialware, the www.simpleware.com/software/trial/ web page clearly and unambiguously communicates that a 14-days trial version is available for the purpose of evaluating the app. There are condition, of course: The end-user needs to register his or her personal and corporate info and a Synopsys employee would contact and appraise him or her before approving the trial. While this is not the dominant form of trialware in software industry but is not unprecedented either: Microsoft, Symantec and Autodesk have held such trials in the past.
- If you are still not satisfied, I can (or you can) use WP:3O to notify a third editor to appraise this discussion.
- Best regards,
Codename Lisa (talk) 10:01, 15 June 2017 (UTC)
Update for latest software release in December 2018[edit]
Updated Stable release to: O-2018.12 / 10 December 2018
Updated website link to: https://www.synopsys.com/simpleware/products/software/scanip.html
Changed software type to 'Commercial' from 'Trialware'
Source: https://www.synopsys.com/simpleware/news-and-events/simpleware-o-2018-12.html
Simpleware wiki (talk) 15:44, 10 December 2018 (UTC)
Updates Feb 12th 2019[edit]
Updated information on 'Medical Devices' and Simpleware ScanIP Medical, with supporting press release link.
Edited some of the text of related sections to clarify information.
Replaced dated software screenshots with screenshots from the latest version of the software.
Simpleware wiki (talk) 12:57, 12 February 2019 (UTC)
September 2019 Update[edit]
Updated software details for September P-2019.09 release.
--Simpleware wiki (talk) 14:51, 10 September 2019 (UTC)
March 2020 Update[edit]
Updated software details for March 2020 Q-2020.03 release, including details on new modules Simpleware AS Ortho and Simpleware Custom Modeler. Updated the list of supported import and export formats for Simpleware ScanIP.
Simpleware wiki (talk) 15:36, 17 March 2020 (UTC)
June 2020 Update[edit]
Updated software details for June 2020 Q-2020.06 release, including new Simpleware AS Ortho and Simpleware Design Link modules. Updated the list of supported import and export formats for Simpleware ScanIP.
Simpleware wiki (talk) 13:56, 9 June 2020 (UTC)
Retrieved from 'https://en.wikipedia.org/w/index.php?title=Talk:ScanIP&oldid=961617170'
Developer(s) | Synopsys |
---|---|
Stable release | Q-2020.06 / 8 June 2020; 2 months ago |
Operating system | Windows; Linux |
License | Commercial[1] |
Website | www.synopsys.com/simpleware/products/software/scanip.html |
Synopsys Simpleware ScanIP is a 3D image processing and model generation software program developed by Synopsys Inc. to visualise, analyse, quantify, segment and export 3D image data from magnetic resonance imaging (MRI), computed tomography (CT), microtomography and other modalities for computer-aided design (CAD), finite element analysis (FEA), computational fluid dynamics (CFD), and 3D printing.[2] The software is used in the life sciences, materials science, nondestructive testing, reverse engineering and petrophysics.
Segmented images can be exported in the STL file format, surface meshes and point clouds, to CAD and 3D printing or, with the FE module, exported as surface/volume meshes directly into leading computer-aided engineering (CAE) solvers.[3] The CAD and NURBS add-on modules can be used to integrate CAD objects into image data, and to convert scan data into NURBS-based models for CAD. The SOLID, FLOW and LAPLACE add-on modules can be used to calculate effective material properties from scanned samples using homogenisation techniques. Since 2020, Simpleware software has included Simpleware AS Ortho and Simpleware AS Cardio, modules for automated segmentation of medical image data that uses artificial intelligence-based machine learning.[4] In addition, a fully customizable module, Simpleware Custom Modeler, is available.[5]
Application areas[edit]
Screenshot of component being placed in hip model in Simpleware ScanIP
Life sciences[edit]
Simpleware ScanIP generates high-quality 3D models from image data suitable for a wide range of design and simulation applications related to the life sciences. Image data from sources like MRI and CT can be visualised, analysed, segmented and quantified, before being exported as CAD, CAE and 3D printing models. Different tissues, bones and other parts of the body can be identified using a wide range of segmentation and processing tools in the software. Options are also available for integrating CAD and image data, enabling medical device research to be conducted into how CAD-designed implants interact with the human body. High-quality CAE models can similarly be used in biomechanics research to simulate movement and the effect of different forces on anatomies. An example of this is the US Naval Research Laboratory/Simpleware head model, generated from high-resolution MRI scans and segmented to create data that can be easily meshed to suit specific finite element (FE) applications, such as head impact and concussion.[6][7]
Applications for the software have include: researching implant positioning,[8] statistical shape analysis,[9] and computational fluid dynamics analysis of blood flow in vascular networks.[10] With Simpleware's scripting tools, it is possible to explore the best positioning for hip implants.[11] 3D models can be used to analyse patellofemoral kinematics.[12] Simpleware-generated human body models can be used to simulate the effect of electromagnetic radiation in MRI scanners.[13] Other application areas for models created within Simpleware's software environment include simulating transcranial direct current stimulation,[14] and testing electrode placements for treating epilepsy.[15] In terms of dental research, evaluations of dental implants have been made by integrating CAD objects with anatomical data and exporting for simulation.[16][17]
Medical devices[edit]
Simpleware ScanIP Medical is a version of the software intended for use as a medical device. It has 510(k) market clearance from the U.S. Food and Drug Administration (FDA) as a Class II Medical Device [18], as well as CE marking and ISO 13485 certifications. [19]
Simpleware ScanIP is intended for use as a software interface and image segmentation system for the transfer of imaging information from a medical scanner such as a CT scanner or an MRI scanner to an output file. It is also intended as pre-operative software for simulating/evaluating surgical treatment options. ScanIP is not intended to be used for mammography imaging.
Those that still want to use Synopsys Simpleware ScanIP for non-clinical medical applications, such as research in the Life Sciences, are recommended to use the core Synopsys Simpleware ScanIP package, which is not intended for clinical use.
Natural sciences, including paleontology and functional morphology[edit]
Simpleware ScanIP is used to reconstruct anatomies from scan data for the investigation of different biological and other organic processes within the Natural Sciences. Paleontological uses of ScanIP include the reconstruction of dinosaur skeletons,[20] while the software has been used to generate a model of a shark head suitable for rapid prototyping and testing of how sharks smell,[21] and for generating STL models of a pseudomorph suitable for 3D printing.[22] ScanIP has also been used for biomimicry projects for the Eden Project, and for producing artworks inspired by morphology.[23] ScanIP can be used to reverse engineer ant necks to improve understanding of their mechanics.[24]
Materials Science[edit]
Simpleware ScanIP has extensive applications in different materials sciences and manufacturing workflows where researchers investigate the properties of scanned samples. Scans of composites and other samples can be visualised and processed in ScanIP, enabling multiple phases and porous networks to be explored and analysed.[25] Measurements can be taken, for example, of fractures and cracks, and statistics generated for porosity distribution and other features. ScanIP can be combined with the FE module to generate volume meshes for FE and CFD characterisation of stress or strain distribution, permeability and other material properties.[26] Example applications include fuel cell characterisation,[27] and modelling the effect of porosity on the elastic properties of synthetic graphite.[28]
Petrophysics[edit]
Simpleware ScanIP is used in the oil and gas industry for generating 3D models from scans of core samples and rocks. Image data taken from CT, micro-CT, Focused ion beamScanning electron microscope scans and other imaging modalities can be imported and visualised, enabling exploration of pore networks, segmentation of regions of interest, and measurement and quantification of features. Processed data can be exported using the FE module as volume meshes for FEA and CFD in solvers, allowing for insights into fluid-structure-analysis and other geomechanical properties.[29][30]
Nondestructive testing (NDT)[edit]
ScanIP can be used to create computational models suitable for detailed visualisation, analysis and export for simulation in CAE solvers. Scanned image data can be easily processed to identify regions of interest, measure defects, quantify statistics such as porosity, and generate CAD and CAE models. Example applications include research into characterising composites,[31] foams,[32] and food.[33]
Reverse engineering[edit]
Screenshot of cylinder head registration in Simpleware ScanIP
With ScanIP, it is possible to reverse engineer legacy parts and other geometries that cannot be accurately created in CAD. Scans of objects can be visualised and processed in ScanIP to learn more about their original design, and exported as FE and CFD models for simulation of physical properties. The software has applications in aerospace, automotive and other fields needing to generate accurate 3D models from scans.[34] Other applications include being able to reverse engineer consumer products in order to analyse their properties,[35] or study how they interact with the human body without the need for invasive testing.
3D printing[edit]
ScanIP is capable of generating robust STL files for 3D printing. Files created using ScanIP feature guaranteed watertight triangulations and correct norms, as well as options for volume and topology preserving smoothing. STL files are generated with conforming interfaces, enabling multi-material printing. Internal structures, otherwise known as lattices, can also be added to 3D models of parts in order to reduce weight prior to additive manufacturing.[36] Example applications include research into 3D printed medical devices,[37] lattice support structure generation,[38] and research into 3D organs.[39] ScanIP was used to generate STL files of a man's kidney to help visualize options before a minor procedure at Southampton General Hospital.[40] Lattice techniques have also been used for developing new parts in aerospace, automotive and other industries.[41]
Add-on modules[edit]
Simpleware FE Module[edit]
The FE module generates volume meshes with conforming multi-parts for FEA and CFD. Finite element contacts, node sets and shell elements can be defined, as can boundary conditions for computational fluid dynamics. Material properties can be assigned based on greyscale values or pre-set values. Users can decide between a grid-based or a free meshing approach. Meshes can be exported directly into leading Computer-aided engineering solvers without the need for further processing. The result can be exported to ABAQUS (
.inp
files), ANSYS (.ans
files), COMSOL Multiphysics (.mphtxt
files), I-DEAS (.unv
files), LS-DYNA (.dyn
files), MSC (.out
files), FLUENT (.msh
files)Simpleware AS Ortho Module[edit]
The Simpleware AS Ortho (Auto Segmentation for Orthopedics) module uses Artificial Intelligence-based Machine Learning for automated segmentation of hips and knees. The module enables users to segment bones and/or cartilage, including common landmarks. Hip segmentation from CT scans includes: proximal femurs, pelvis, and sacrum, with hip landmarks placed on the pelvis, coccyx, and femurs. For knee segmentation from PD weighted MRI scans, regions of interest include: femur, tibia, and associated cartilage, patella, and fibula, with knee landmarks placed on the femur and tibia.
Simpleware AS Cardio Module[edit]
AS Cardio provides an easy-to-use tool to automatically segment cardiovascular data. In this specific release, we focus on heart segmentation from CT including blood pool cavities, selected muscle tissue as well as common key landmarks.
Simpleware Custom Modeler[edit]
This module is an automated solution for users, which is developed with Simpleware engineers to tailor the software to their current processes. The module enables custom automated segmentation to be set up, as well as options for fully automated: image processing, landmarking, measurements, statistics and reports, workflows for meshing models and export to 3D printing, CAD, and simulation, among other features.
Simpleware CAD Module[edit]
The CAD module allows for the import and interactive positioning of CAD models within image data. The resulting combined models can then be exported as multi-part STLs or, using the FE module, converted automatically into multi-part finite element or CFD meshes. Internal structures can also be added to data to reduce weight whilst maintaining mechanical strength. With CAD, users can avoid having to work with image-based files in CAD-based software. Data can be acquired from ScanIP, IGES (
.iges
and .igs
files), STEP (.step
and .stp
files), STL (.stl
files). The result can be saved in ScanIP files for further processing or exported to STL (.stl
files).Simpleware NURBS Module[edit]
The NURBS module allows segmented 3D image data to be fitted with non-uniform rational B-splines (NURBS) using automated patch fitting techniques for export as IGES (
.iges
and .igs
files). Autosurface algorithms provide a straightforward route from image data to CAD-ready NURBS models, with options available for contour and curvature detection. CAD geometries can also be inspected prior to export to remove spurious features.Simpleware Design Link[edit]
This module allows users of Simpleware software and SolidWorks to harness the power of both software packages and speed up product development workflows.
Simpleware SOLID Module[edit]
The SOLID module calculates the effective stiffness tensor and individual elastic moduli of material samples. Perform numerical homogenisation with a built-in FE solver or derive quick semi-analytical estimates from segmented images.
Simpleware FLOW Module[edit]
The FLOW module calculates the absolute permeability tensor of porous material samples. Numerical homogenisation is performed using a built-in Stokes solver.
Simpleware LAPLACE Module[edit]
The LAPLACE module calculates the effective electrical, thermal and molecular properties of materials whose behaviour is governed by the Laplace's equation. Perform numerical homogenisation with a built-in FE solver or derive quick semi-analytical estimates from segmented images.
Import formats[edit]
- DICOM version 3.0 and 2D stacks - including 4D (timeresolved) DICOM with time step selection – option to store DICOM tags with imported data
- ACR-NEMA (versions 1 and 2)
- DICONDE
- Interfile
- Analyze
- Meta-image
- Raw image data (binary, CSV...)
- 2D image stacks (BMP, GIF...)
- Natively supported pixel types: 8-bit Unsigned Integer; 16-bit Unsigned Integer; 16-bit Signed Integer; 32-bit Floating Point
Export formats[edit]
Background image export
- Stack of images (BMP, JPG, PNG, TIF)
- DICOM
Segmented image
Simpleware Scan Ip Free Online
Surface model (triangles)
- ACIS (SAT)
- ANSYS surface mesh
- ABAQUS surface mesh
- MATLAB file surface
Animations
- Windows Media Video Advanced Systems Format
- PNG sequence
- Transparent PNG sequence
Simpleware Scan Ip Free Download
2D and 3D screenshot
- Postscript (*.eps)
Others
- Generate Virtual X-Ray, with object burn in (ScanIP Medical version only)
- Export scene (export the current 3D view) - 3D PDF; VRML
References[edit]
- ^'Simpleware Trial Page'. synopsys.com. Synopsys. Retrieved 10 September 2019.
- ^Johnson, E., Young, P., 2005. Simpleware: From 3D image to mesh in minutes. CSAR Focus, Edition 14 (Autumn - Winter 2005), 13-15. http://www.csar.cfs.ac.uk/about/csarfocus/focus14/focus14_simpleware.pdf
- ^Johnson, E., 2005. Simpleware: From 3D Image to Mesh. The Focus, Issue 39, 2.
- ^Simpleware Automated Solutions Modules.https://www.synopsys.com/simpleware/software/auto-segmenter-modules.html.
- ^Synopsys Introduces Machine Learning-Based Auto Segmentation Module for 3D Image Processing. Synopsys Press Release, March 11, 2020. https://news.synopsys.com/2020-03-11-Synopsys-Introduces-Machine-Learning-Based-Auto-Segmentation-Module-for-3D-Image-Processing
- ^Wasserman, Shawn (11 March 2015). 'Simulating the Human Head for Safer Helmet Design'. Engineering.com. USA. Retrieved 16 March 2015.
- ^Marchal, Thierry (3 February 2015). 'Modeling the Risk of Concussion Post Super Bowl 2015'. ANSYS-blog.com. USA. Retrieved 16 March 2015.
- ^Ali, A.A., Cristofolini, L., Schileo, E., Hu, H., Taddei, F., Kim, R.H., Rullkoetter, P.J., Laz, P.J., 2013. Specimen-Specific Modeling of Hip Fracture Pattern and Repair. Journal of Biomechanics, 47(2), 536-543
- ^Wu, J., Wang, Y., Simon, M.A., Sacks, M.S., Brigham, J.C., 2013. A new computational framework for anatomically consistent 3D statistical shape analysis with clinical imaging applications. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 1(1), 13-27.,
- ^Cardona, A., Lacroix, D., 2012. COMPUTATIONAL FLUID DYNAMICS OF COMPLEX VASCULAR NETWORK FUNCTIONALITY. Journal of Biomechanics, 45(1), S36.
- ^Horner, M., Getting the Right Prosthetic Hip Implant Positioning, ANSYS Blog, 23 October 2014. http://www.ansys-blog.com/prosthetic-hip-implant-positioning/
- ^Baldwin, M.A., Clary, C., Maletsky, L.P., Rullkoetter, P.J., 2009. Verification of predicted specimen-specific natural and implanted patellofemoral kinematics during simulated deep knee bend. Journal of Biomechanics, 42, 2341–2348
- ^Bonino, P. Electromagnetics in the healthcare industry. Altair HyperWorks Insider. 29 July 2014. http://insider.altairhyperworks.com/electromagnetics-healthcare-industry/
- ^Datta, A, Bikson M, Fregni F, (2010), Transcranial direct current stimulation in patients with skull defects and skull plates: High-resolution computational FEM study of factors altering cortical current flow. NeuroImage (52.4). pp. 1268-1278. doi:10.1016/j.neuroimage.2010.04.252
- ^Rossi, M., Stebbins, G., Murphy, C., Greene, D, et al (2010) Predicting white matter targets for direct neurostimulation therapy. Epilepsy Research. Volume 91, Issues 2-3. pp. 176-186. doi:10.1016/j.eplepsyres.2010.07.010
- ^Queijo, L., Rocha, J., Barreira, L., Ramos, A., San Juan, M., Barbosa, T., 2009. Maxilla bone pre-surgical evaluation aided by 3D models obtained by Rapid Prototyping. Biodental Engineering, 139-144.
- ^Hohmann, A., Kober, C., Radtke, T., Young, P., Geiger, M., Boryor, A., Sander, C., Sander F.G., 2008. Feasibility study about finite element simulation of the dental periodontal ligament in vivo. Journal of Medical Biomechanics, 2008(01), 26-30.
- ^510(k) Premarket Notification: ScanIP. U.S. Food and Drug Administration. http://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K142779
- ^Synopsys Launches Simpleware ScanIP Medical with CE Marking and FDA 510(k) Clearance. https://www.prnewswire.com/news-releases/synopsys-launches-simpleware-scanip-medical-with-ce-marking-and-fda-510k-clearance-300792528.html
- ^Manning, P.L.; Margetts, L.; Johnson, M.R.; Withers, P.J.; Sellers, W.I.; Falkingham, P.L.; Mummery, P.M.; Barrett, P.M.; Raymont, D.R.; et al. (2009). 'Biomechanics of dromaeosaurid dinosaur claws: Application of X-ray microtomography, nanoindentation, and finite element analysis'. The Anatomical Record. 292 (9): 1397–1405. doi:10.1002/ar.20986. PMID19711472.
- ^Abel, R.L., Maclaine, J.S., Cotton, R., Bui Xuan, V., Nickels, T.B., Clark, T.H., Wang, Z., Cox, J.P.L., 2010. Functional morphology of the nasal region of a hammerhead shark. Comparative Biochemistry and Physiology, Part A, 155, 464–475.
- ^u-VIS case study: Pseudomorph modelling. University of Southampton. http://www.southampton.ac.uk/~muvis/case_studies/04_Pseudomorph_modelling.html
- ^Simpleware will contribute to Biomimicry display. CFDFea.com. 15 June 2005.http://www.cfdfea.com/2005/06/simpleware-joins-the-eden-project-in-public-awareness-scheme/
- ^Nguyen, V.N., Lilly, B.W., & Castro, C.E., 2012. Reverse Engineering the Structure and Function of the Allegheny Mound Ant Neck. In: ASME 2012 International Mechanical Engineering Congress & Exposition, 9–15 November 2012 Houston, Texas, USA.
- ^Alghamdi, A., Khan, A., Mummery, P., & Sheikh, M., 2013. The characterisation and modelling of manufacturing porosity of a 2-D carbon/carbon composite. Journal of Composite Materials. http://jcm.sagepub.com/content/early/2013/09/13/0021998313502739.abstract
- ^Coleri, E., & Harvey, J.T., 2013. A fully heterogeneous viscoelastic finite element model for full-scale accelerated pavement testing. Construction and Building Materials, 43, 14-30.
- ^Clague, R., Shearing, P.R., Lee, P.D., Zhang, Z., Brett, D.J.L., Marquis, A.J., Brandon, N.P., 2011. Stress analysis of solid oxide fuel cell anode microstructure reconstructed from focused ion beam tomography. Journal of Power Sources, 196(21), 9018-9021
- ^Sowa, G., Paul, R., Smith, R., 2013. Modeling the Effect of Porosity on the Elastic Properties of Synthetic Graphite Using CT Scans and the Finite Element Method. In: COMSOL Conference Boston 2013, 9–11 October 2013 Boston.
- ^Blaheta, R., Kohut, R., Kolcun, A., Souček, K., Staš, L., 2013. Micromechanics of geocomposites: CT images and FEM simulations. In: Kwaśniewski, M., Łydżba, D. (Eds.), 2013. Rock Mechanics for Resources, Energy and Environment, pp. 399-404. London : CRC Press Taylor & Francis Group.
- ^Saxena, N., Mavko, G., Dvorkin, J., Young, P., Richards, S., Mukerji, T., 2013. Digital Simulations and Rock Physics Modeling of Bituminous Sand. In: Stanford Rock Physics & Borehole Geophysics Annual Meeting, 19–21 June 2013 Menlo Park.
- ^Alghamdi, A., Khan, A., Mummery, P., Sheikh, M., 2013. The characterisation and modelling of manufacturing porosity of a 2-D carbon/carbon composite. Journal of Composite Materials..
- ^Abdul-Aziz, A., Abumeri, G., Garg, M., Young, P.G., 2008. Structural Evaluation of a Nickel Base Super Alloy Metal Foam Via NDE and Finite Element. In: Smart Structures and Materials & Nondestructive Evaluation, 9–13 March 2008 San Diego. Bellingham: SPIE.
- ^Said, R., Schüller, R., Young, P., Aastveit, A., Egelandsdal, B., 2007. Simulation of salt diffusion in a pork (bacon) side using 3D imaging. In: Petit, J.-M., Squalli, O. eds. Proceedings of the European COMSOL Conference 2007, 23–24 October 2007 Grenoble. Grenoble: COMSOL France, Vol 2, 876-881.
- ^Wang, W., & Genc, K., 2012. Multiphysics Software Applications in Reverse Engineering. In: COMSOL Conference 2012, 3–5 October 2012 Boston, USA.
- ^Lin, S.Y., Su, K.C., Chang, C.H., 2013. Reverse Engineering of CT-based Rocker Sole Model—Finite Element Analysis. In: International Conference on Orange Technologies, 12–16 March 2013 Tainan.
- ^Young, P., Raymont, D., Hao, L, Cotton, R., 2010. Internal Micro-Architecture Generation. In: TCT Additive Manufacturing Conference, 19–20 October 2010 Coventry.
- ^O'Reilly, S., 2012. 3D printing and medical-device development. Medical Design, May 2012 12(4) 40-43.
- ^Hussein, A., Hao, L., Yan, C., Everson, R., Young, P., 2013. Advanced lattice support structures for metal additive manufacturing. Journal of Materials Processing Technology, 213(7), 1019–1026
- ^Kang, H.-W., Kengla, C., Lee, S.J., Yoo, J.J., & Atala, A., 2014. 3-D organ printing technologies for tissue engineering applications. In: Narayan, R. (Ed.), 2014. Rapid Prototyping of Biomaterials. Principles and Applications., pp. 236-253
- ^BBC News (14 January 2015). 'Southampton hospital patient's 3D kidney model used in op'. BBC News. UK. Retrieved 11 February 2015.
- ^Griffiths, Laura (26 June 2015). 'Lattice structures - simplified'. TCT Personalize. Retrieved 3 July 2015.
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