"The Simpleware technology is integral to our production system. We have always had a very good relationship with Synopsys and regularly are able to reach out for their support. The introduction of Simpleware’s Custom Modeler has not only reduced segmentation time but also enabled faster training of the production process to new staff.”
Alicia Miller | Corin Group
“…my personal association with Simpleware goes back close to 15 years. The software makes it possible to create detailed models of the human head and simulate tDCS procedures, and have critically helped advance our modeling pipelines”
Abhishek Datta | Soterix Medical, Inc.
“We had the idea to simulate our devices in a virtual platform, but were stuck with the importation of a human body in the software. Thanks to Simpleware software, we easily solved the problem. The virtual simulation has become part of our feasibility practice today. I highly recommend Simpleware software!”
Ismael Rattalino | MicroPort CRM
“We use Simpleware as our image processing software. The software is able to create extremely detailed and accurate 3D models of the knee from CT scans, which are used as inputs to our simulation and design of the patient-specific guides.”
Willy Theodore | 360 Knee Systems
“The Simpleware model reconstruction provides an essential solution to assess the usability of an AM produced part. The effect of a defect or geometry deviation in a critical location can be quantified. Based on a comparison to the nominal CAD geometry the impact on structural integrity and fatigue life can be evaluated. This workflow provides a key solution to determine the disposition of an AM produced part with deviations from the nominal design.”
Paul Badding | Moog, Inc.
“Simpleware ScanIP from Synopsys enabled us to analyze the complexity of the 11T dipole coils at multiple scales using 2D images from optical and scanning electron microscope images. The superconducting cables of the dipole coils have inherent deformations within them that are very difficult to reproduce using CAD models. ScanIP allowed us to visualize and capture these realistic geometries to reproduce with greater accuracy and reproducibility the permanent deformation of the coils. Once the geometries were segmented, we used the FE module from Simpleware software to produce realistic 2D finite element models to obtain stress and strain distributions within microscopic elements from forces originating from global stresses applied to the coil.”
Michael Daly | CERN
“Due to their digital nature these tasks (Petrophysics Characterisation) could be conducted in fractions of the cost and time and also from rock materials generally non suitable for conventional lab testing like drill cuttings...increasing spatial sampling and reservoir properties data quantity. Such capacity could effectively enhance our ability to deliver faster and more information to exploration and production managers.”
Carlos Santos | Repsol S.A.
“Simpleware software was intuitive to use and the in-built tools made it easy to process complex data sets and perform useful analysis, such as wall thickness calculations in the click of a button.”
Nathanael Turner | The Manufacturing Technology Centre (MTC)
"Synopsys Simpleware enabled rapid model generation with user friendly segmentation of a convoluted tumor followed by smoothing features that intuitively made a printable model visually appealing.”
Carlos Kengla | Wake Forest Institute for Regenerative Medicine
“I was looking for some solutions for how to handle these kinds of textile composites with a lot of imperfections, and how to capture these details in the model. I evaluated a few other softwares, and Simpleware served the purpose of what we’re looking for: it’s very robust…it gives good quality meshes.”
Deepak Patel | University of Michigan
"Simpleware ScanIP proved to be an efficient tool for reconstructing detailed L-PBF stent models and thus extending and deepening the knowledge gained from experimental analyses by realistic numerical analyses. In particular, the robust meshing algorithm enabled the generation of high-quality FE meshes that could be immediately used for structural mechanics analyses in the Abaqus FEA software."
Lisa Wiesent | OTH Regensburg
“ScanIP was a huge help as it was a tool that allowed us not only to visualize our bench top sample results but also to extract quantitative data that would have otherwise been impossible to investigate.”
Jonathan Brown | MIT, Harvard Medical School
“We found a significant correlation between component orientation and polyethylene damage; varus angulations were strongly associated with thinner medial compartments, whilst valgus angulations were associated with thinner lateral compartments.
Our study is the first to compare accurate 3D-CT measurements of pre-revision implant positioning with post-revision retrieval analysis from an innovative, accurate and reliable micro-CT based method, made possible using Simpleware ScanIP 3D reconstruction capabilities.”
Harry Hothi | University College London
“The CT scan gets our component from the real to the digital world. Then Synopsys Simpleware is a key stage in the workflow to get from our 3D X-ray images to ultra-high resolution engineering simulations.
I started using Synopsys Simpleware as a PhD student at The University of Manchester's School of Materials in The University of Manchester almost 10 years ago now! It’s been great to see how it’s developed over time, I’m impressed how each year new features are added which increase its usefulness.
We found a small region of debonding that kept occurring in the heat exchange component. By creating an image-based model with Simpleware software we were able to quantify its impact on performance and optimise use of the component.”
Llion Evans | Swansea University
“ScanIP has been instrumental in our efforts to understand AF and better treat this arrhythmia. Due to the help from ScanIP, we published 2 papers, presented 6 conference abstracts, applied for a patent, and started a clinical trial called SIMPLE-AF. In our clinical trial, we identify the critical regions that sustain AF based on our finite-element meshes generated from ScanIP and apply a novel ablation strategy to eliminate the minimum amount of tissue needed to interrupt the arrhythmia. So far, we were able to successfully terminate AF in every patient we enrolled.”
Matt Fisher | North Carolina State University
“The importance of Synopsys Simpleware™ in the workflow is to provide a straightforward one-step conversion of microstructure data, from images to meshes. In addition, the software handles well the complex nature of our microstructure data, and is able to produce the meshes in high-throughput fashion, via Python API scripting.”
Tim Hsu | Carnegie Mellon University