CAE simulation analysis has been widely implemented and applied in the industry. It has played an important role in helping companies shorten product design cycles and reduce product design costs. Therefore, it has become the design stage from overall design to detailed design in product development. Key performance verification and improvement tools from various departments or disciplines, from pneumatics to strength.
CAE simulation analysis has been widely implemented and applied in the industry. It has played an important role in helping companies shorten product design cycles and reduce product design costs. Therefore, it has become the design stage from overall design to detailed design in product development. Key performance verification and improvement tools from various departments or disciplines, from pneumatics to strength. At the same time, the increase in simulation analysis applications has also resulted in a large amount of simulation data, which covers all aspects of product performance. For example, the CAE analysis is widely used in the automotive industry as an example. Automotive safety is involved in the entire product development cycle. , vibration and noise, strength and durability, dynamics analysis, brake analysis, heat transfer analysis, electromagnetic analysis, engine performance analysis and many other types of analysis, product detailed performance is stored in these simulation results data, it is necessary These core data representing product performance are effectively managed to facilitate retrieval and comparison of different product design performance; how to use existing simulation tools to simplify the design model and perform correct simulation analysis is a relatively complex process involving a large number of models. Calibration and improvement are the main means of product development and improvement, and are the main intellectual assets of the enterprise. Therefore, it is necessary to use the simulation data and process management system to effectively manage the CAE analysis process to realize the reuse and promotion of the intellectual assets of the enterprise.
In addition to the basic content of roles, permissions, version control and changes in traditional data management, simulation data management also involves its own unique requirements, including how to carry out the multi-tool software involved in simulation analysis. Integration; how to manage the main simulation analysis inputs such as materials, loads, model files, etc. involved in simulation analysis; how to use multi-level system IT architecture transmission and management simulation analysis to generate large-capacity result files (single calculation results exceed 10G How to realize the integration between the simulation system and the high-performance computer system; how to realize the remote data collaboration and the like for the status quo of the R&D department. To realize a real simulation data management platform, it is necessary to comprehensively solve the above-mentioned problems from the IT architecture to the technical application level.
From the application requirements of simulation data management, simulation data management involves the following aspects. First, unlike traditional file or document management, it is necessary to effectively manage the main parameters of the simulation model, data and simulation data result files; Secondly, it is necessary to manage the process of simulation analysis, which includes effective management of analysis process and business process. Finally, it also provides decision support for the design of the whole product based on the results of simulation analysis, including the comparison of product analysis results and design indicators. Wait.
The DS/SIMULIA SLM simulation lifecycle management system combines the deep simulation knowledge of DS's SIMULIA brand with the powerful data management and collaboration capabilities of the ENOVIA brand to provide true enterprise-level lifecycle simulation data and process management. It includes three parts: data management, process management and decision support. It can manage the existing analysis data and analysis process of the enterprise separately, and it can seamlessly integrate with other digital systems such as PDM, TDM and project management system. Data and process synergy.
In the simulation data management, in addition to the traditional file permissions and check-in detection management, SLM can also deeply analyze the simulation results and obtain the corresponding simulation performance parameters. Because the nature of simulation analysis can be considered as a virtual test to verify the design performance of products and improve the design quality of products, the real simulation data management is to effectively manage the performance data of these products, based on these major products. Simulation performance data For data retrieval, comparison and verification of different design solutions, SLM utilizes the deep integration of process automation and optimization analysis tool Isight under SIMULIA brand, and utilizes the existing interface with many commercial software in Isight to complete the pair. Relevant simulation file results are extracted and stored in the main parameters. Users can use these main performance parameters to perform performance search comparisons in different designs and different projects.
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