Solvay Software

1. Solvay Solkane Software
2. Solvay Products
3. Solvay Software Free

Todays' major challenge is the shift from metal to composite in order to bring significant weight saving in the design. This paradigm however requires a dedicated tool for composite design in order to take into account the specific composite behavior. Classical design tools are not able to describe accurately the local composite material behavior, leading to introduction of safety factors and lack of confidence in the design.Digimat technology provides design tools that give the user 100% confidence in their composites products thanks to an accurate description of the local composite behavior. Accurate material modeling allows one to reduce the 'factor of safety' - allowing composite materials to used to 100% of their potential, maximizing their competitiveness against metal and leading to substantial weight reduction. Digimat-MF is the Mean-Field homogenization module of Digimat which offers the capability to define the local material behavior as a function of:.

the matrix and inclusion phases. the composite microstructure morphology (inclusions weight, shape and size)Digimat-MF is a user-friendly micromechanical material modeling software where the user inputs the material phase behavior, the microstructure description, the loading applied and the resulting multi-phase material, guided by a tree data structure.Digimat-FE. Digimat-MX is a composite materials database that provides access to experimental data at different strain rates, temperatures, pressures, radiation levels, etc. It contains Digimat material files already reverse engineered based on experimental data. This software facilitates the sharing of data between stakeholders or simply internally in a design group.

Digimat-MX allows the operator to reverse engineer an entire material range through parameter identification and optimization tool that are simple and easy to use.Digimat-CAE. Digimat-MAP is a 3D mapping software used to transfer fiber orientation, residual stresses and temperature from the injection molding mesh to the optimal structural FEA mesh.Digimat-MAP is fully integrated within Digimat's multi-scale modeling process.

Digimat-MAP is an accurate, efficient, robust and flexible software tool used to transfer the fiber orientation, residual stresses and temperature between dissimilar injection molding and structural analysis meshes where they can be used by Digimat-MF to FEA interfaces (ANSYS, LS-DYNA, Abaqus, PAM-CRASH, SAMCEF.) to perform state-of-the-art nonlinear multi-scale analysis.Digimat-HC. Digimat-HC is a multi-scale tool for the modeling of bending and in plane shear tests of sandwich panels. It is a complete, simple, accurate and flexible software tool.Digimat-HC takes into account the effect of the microstructure for both the core and the skins of the sandwich:. For the honeycomb core, the homogenized properties are computed by Digimat-HC based on the geometry of the unit cell of the honeycomb. For the skins the same choice is available. A skin is made of several layers piled up in a given order, with given orientations and thickness. Each layer can be defined at the macro or micro level.

In this last case, Digimat-MF is used to compute the macroscopic stiffness properties of the layer based on the description of its microstructure.Digimat-AM. Digimat Additive Manufacturing (AM) is a holistic simulation chain for AM, providing the unique combination of material engineering, process simulation and structural engineering to bring AM efficiency and performance to the next level.By applying multi-scale material modeling techniques to AM of polymers (unfilled and reinforced), Digimat virtual material compounding and characterization is a key enabler to developing new materials. Users can significantly reduce physical tests, understand key parameters driving the material behavior and easily create new material systems such as lightweight lattices, opening the door to even more innovative designs.For Additive Manufacturing to make a successful transition to a standard production technique, dedicated design and engineering tools are required. By enabling as-manufactured part performance predictions – and therefore design optimization, integrative simulation such as proposed by e-Xstream is certainly a must.

Solvay Solkane Software

By accounting for the printing direction and the effects of defects, customers are now able to perform accurate structural analyzes and bring more confidence in the design validation of Plastic and Composite parts.Digimat-RP. Digimat-RP (“Reinforced Plastics”) is a process-centric solution that empowers engineers to perform end-to-end simulations of Reinforced Plastic parts, linking their manufacturing processes to their final performance in a streamlined, high-fidelity and user-friendly manner.Digimat-RP brings over 10 years of expertise in Reinforced Plastics modeling, packed in an easy to use solution that meets experts requirements as well as non-experts expectations. With its intuitive interface and guided workflow no training is required to get the best of the technology.Key benefits:. High accuracy with ease of use. Multiple performances (Linear & Nonlinear, implicit & explicit).

Integrated within CAE landscape (interfaces with major CAE injection/Structural codes). Offers an extensive database of Reinforced Plastic Materials (Solvay/Rhodia, Sabic, Dupont, Ticona, EMS,). The industry standard: used and supported by major material suppliers, Tier1 and OMEsDigimat-VA. Digimat-VA (“Virtual Allowables”) is an efficient solution that empowers engineers to virtually compare materials before going into the lengthy physical allowables.

By generating virtual allowables, engineers can now start the component design in parallel to the physical allowable campaign.Digimat-VA is a vertical solution is developed to compute, instead of test, the behavior of composite coupons (unotched, open hole, filled hole.) to screen, select and compute the allowables of composite materials. Key benefits:. It defines test matrix in a few clicks. It creates multiscale material models based on composite datasheet. It models batch and process variability. It can go beyond recommended CMH17 procedures. It turns a test matrix into FEA runs to obtain virtual allowablesLearn more about Digimat products and services at.

Founded in 1863 as a family business, Belgium-based is now an advanced materials and specialty chemicals group with 124 sites responsible for manufacturing and delivering products, and providing solutions across 61 countries. In 2015, following an internal restructure of its logistics site solutions, the company began looking for ways to bring its procedures up to date and improve information sharing within its logistics operations. To do that, Solvay turned to (GCP).“We wanted to digitize our logistics process with a new platform that needed high availability and the ability to scale up,” says Jean-Baptiste Cercueil, Head of Logistics Processes at Solvay. “Once we decided this should be a cloud-based venture, Google was the obvious solution.”. Driving efficiency, improving collaboration with GCPIndustrial chemical companies like Solvay are heavily regulated, with safety and security of paramount importance.

Solvay Products

Evolutions in regulations are clarifying and increasing the share of responsibility that shippers like Solvay would bear during transportation. In response, Solvay’s internal business services unit looked at the existing logistics process to see how it could be digitized and made more efficient. “We saw it as an opportunity to overhaul and innovate the process,” says Jean-Baptiste. Solvay searched the market for an off-the-shelf solution, but could not find one that met its unique, complex needs. So the company built SELFY: the Solution to improve the Efficiency of Logistics Flows on Yard.Using mobile devices and cloud technology, SELFY has two main objectives, says Jean-Baptiste. The first is to give Solvay more control over the mandatory regulatory checks it has to carry out.

Solvay wanted a platform that could help both the risk assessment experts who design them as well as the operators who physically carry them out on production sites all over the world. The second objective of SELFY was to increase collaboration across the company. Prior to SELFY, different sites could not share data about basic checks they had done, so trucks moving from one site to another would often be held up over unnecessary checks that had already been carried out. A more secure, online way of sharing data between sites would minimize fuss and help improve the flow of goods without compromising on security and regulatory standards. For SELFY to work, the company needed an online database that could be accessed by multiple types of devices throughout the globe, with minimal downtime. By 2016, it was clear that hosting servers on-premises would not work. “We could have built an on-premises solution, but there would have been so much redundancy,” says Alexandre Mathe, Technical Project Manager at Solvay.

“We would have had to build everything from scratch, from logging in, to monitoring tools, to managing APIs. Besides, with a single data center to serve the whole world, there’d be differences in performance and what happens if it crashes?” It was clear that a cloud-based infrastructure was the ideal solution for SELFY.

Seamless integration, minimal fussSolvay had been using as its office productivity and email platform for over five years, so when it came time to look for a new infrastructure, GCP was a “globally consistent solution”, according to Alexandre. The company used Google Cloud Partner to switch to G Suite, so they were the obvious choice to help plan and execute the migration to GCP. According to Jean-Baptiste, Revevol’s prior knowledge of Solvay and the needs of SELFY were crucial. “They really took the time to understand the functionalities we were looking for. That was the key to the design of the whole solution,” he says.SELFY had to handle complex data processes at scale and remain easy to use, so proved ideal as a high-performance database solution with a language familiar to Solvay’s team of developers.

Similarly, and enabled Solvay to import and process data quickly and easily. The company used to manage the SELFY API, which needed to be robust enough to handle multiple versions from over 200 endpoints. The core of SELFY was built with, with monitoring operations. Was used for storing media files, documents, and other static assets in a highly secure environment. Meanwhile, proved vital for simplifying and streamlining SELFY and its key tasks.“It’s so easy to set up Cloud Functions to get some data, process it with Cloud Dataflow, and then import it into BigQuery,” says Alexandre. “With Google Cloud Platform, everything is very nicely integrated.”.

A cutting-edge solution, built for scalabilityBy mid-2018, Solvay deployed SELFY on two sites before expanding to the rest of the company. Even at this stage, the platform has made an impact. Solvay and its truck drivers have benefitted from more efficient controls, which has ultimately lead to improved logistics flow.

Thanks to SELFY, employees can maintain the company’s rate of approximately 100 operations per day on a site but with fewer workers specifically assigned to regulatory controls. This frees resources up for other key areas of the business. The ability to share information quickly between sites has helped enormously. When truck drivers made multiple visits to sites in a short period of time, it was common to unnecessarily repeat some basic checks. Now that those tests are online and available to see, checks for return drivers have been reduced from 15 minutes to less than a minute. Thanks to the performance, scalability, and ease of use of GCP, Solvay has managed to drive efficiency in its logistics process and stay up to date with a changing regulatory environment.From an IT perspective, Solvay has been able to avoid sinking costs into a hosted solution and maintenance teams by using managed services by Google.

Solvay Software Free

GCP has helped Solvay take a more agile approach to development, quickly applying updates and fixes without disrupting the main operation. “After we first went live, we’ve deployed maybe another 12 versions, without any downtime,” says Alexandre. “This flexibility has really helped us.”“With a cloud solution, we were expecting to improve our information-sharing and collaboration,” says Jean-Baptiste. “With GCP, we have also improved the consistency of our logistics controls and now we are looking at ways to reorganize our procedures and make them even more efficient.”As well as rolling out SELFY to its other sites across Europe and eventually the world, Solvay is currently testing a mobile app, developed with GCP, providing even more flexibility to its workers while maintaining high standards. “A mobile app means that we don’t always need to have an operator waiting at the gate for a truck,” says Jean-Baptiste. “They can be working elsewhere on the site, get a notification on their phone, and then come to unload it.” The success of SELFY has led Solvay to look at other areas within the business where Google tools can help, not just now, but in the future.“Our work with SELFY means that we can now externalize our knowledge and build other architectures for different areas within the business,” says Alexandre. “If you’re building applications in a controlled environment, GCP is a great landscape to play in.”.