Easily manage and analyze mold simulation data for your entire business

Many companies are looking to unite the digital twin (Digital Twin) with the virtual twin (Virtual Twin). With iSLM, Moldex3D offers a platform that already brings together data from design, simulation, tooling and production. Follow us on this exciting journey and learn what you can already implement today.

Most companies strive to integrate enterprise-wide platforms (e.g.: intranet, cloud-based), Big Data, and artificial intelligence (AI). In the traditional enterprise structure, different teams, departments, and individuals may create different databases. However, the same data may have different revisions when stored in different locations, leading to inconsistencies in an organization's internal data. Furthermore, because this inconsistent data is difficult to share, it can create problems in maintaining continuous product development and resolving known development issues. The divergent data can be a major obstacle on the road to AI. Unifying these existing databases requires a great deal of effort and cost. Therefore, it is a critical issue to store and manage Big Data with organized and visualized information and to provide it specifically to the respective users.

Moldex3D iSLM is a platform designed for data management and application of the entire process. Before developing a new tool, users can create a specific tool project via iSLM Solution Management and capture all data from component or tool development for production (Design for Manufacturing - DFM), simulation (Computing Aided Engineering - CAE) and tool sampling (Mold Tryout). Thus, after mold tryout, iSLM delivers the corresponding results back to the development department for comparison with the simulation data.

The iSLM platform includes a Knowledge Management (KM), which serves as a search system and allows the user whilst having different roles (e.g. designer, CAE engineer, toolmaker, salesman, ...) to quickly filter the previous component and tool developments based on the key classifications (industry, product and component), the tool materials, the component thickness and the tool volume. Users from different departments (development, simulation, sales, ...) can thus access a specific solution of a component or tool and obtain the information from the CAE analysis or tool sampling with the KM comparison functions. The developers can draw on previous experience during product development, so that the time required can be reduced and basic simulations can be saved. By comparing real production results, manufacturing parameter settings and simulation results, CAE engineers gain much more knowledge to achieve a better match of CAE parameter settings with the real world to optimize simulation or processes.

Sales can respond more quickly to inquiries for similar components or exchange a quicker overview of the current status of a project with the respective experts.

Due to the iSLM platform, companies can more efficiently manage all relevant data for a part and mold development process and integrate data from DFM, CAE, mold sampling and production. As a result, the quickly collected data can help achieve digital and virtual twin integration. In addition, the visualized data can enable better workflow and thus more efficient teamwork.

In future, the data collected in iSLM can be used even more effectively through machine learning and deep learning to optimize component developments as well as manufacturing and maintenance processes in production and thus production itself.

Deeper insights are of interest!?
Please contact us: + 49 (0)241-565 276-0 or send us an email to info@simpatec.com.