Shulou(Shulou.com)06/02 Report--

With the improvement of product complexity and increasingly fierce market competition, model-based forward R & D has been widely accepted as an effective response. However, there are still some problems in the R & D process, such as difficult definition of complex functional architecture, difficult tradeoff of multiple schemes, difficult joint simulation of multiple systems, low simulation efficiency, inadequate verification and so on. Moreover, there is a lack of a platform to support the top-down whole process of product research and development, the phenomenon of information isolated island is significant, the traceability of data association such as demand is poor, and the coordination between different stages is weak. the problems such as no greater data value, difficult knowledge accumulation and application, and low collaborative efficiency have not been solved.

3DExperience Platform, launched by Dassault Systems, provides users with methodology, process, tool set and knowledge base, provides systematic and comprehensive support for top-down functional architecture, scheme, detailed design, verification, optimization and tradeoff of product research and development, and realizes functional analysis and architecture definition, functional and performance verification of complex mechanical and electrical products. At the same time, it provides a collaborative environment including data management, task management and personnel management to improve the efficiency of research and development.

Product introduction

Model-based forward research and development in the whole life cycle

Technologies such as 3DE platform junction MagicGrid power architecture methodology, Dymola+SEV/MCK multidisciplinary system modeling and simulation, Isight simulation integration and optimization simulation management provide top-down support for all stages of the product development life cycle, fully support MBSE, MBD and MBT, and improve the efficiency and effectiveness of R & D. Based on "simulation software integration + multi-objective optimization + multi-attribute evaluation model driven by architecture model", multi-disciplinary optimization and multi-attribute tradeoff in all stages of product development are realized, and the comprehensive competitiveness of products is further enhanced.

♦ system function and architecture design based on MBSE is based on MagicGrid methodology suitable for complex electromechanical product design. Combined with requirements management tools, the model is used to describe, analyze and verify the active content, state characteristics and interactive information of the product under various tasks or scenarios, and generate matching functional requirements, functional architecture, test scenarios and logical architecture. Use the ability of rapid construction of system functional model and simulation verification ability to evaluate the rationality and coverage of requirements, and realize the complete mapping of requirements to functions and the analysis and verification of system requirements.

The embedded solver supports the integration with professional modeling and simulation tools, realizes demand-driven function and performance index verification, and completes multi-objective optimization and multi-attribute tradeoff of the system.

♦ Model-based Scheme Collaborative Design and Co-Simulation

With the help of SysML-Modelica mapping function, based on the system architecture and interface constraints formed in the previous function-architecture design, the simulation architecture in the multidisciplinary modeling environment is automatically generated to improve the reusability of the model and make the collaboration in different stages closer and more smooth. It provides an open source model library for mechanical, electromagnetic, hydraulic, fluid and other systems, which makes the secondary development such as model-based fault injection simple and easy. Based on FMI standard and SEV distributed integrated simulation environment, a platform compatible with a variety of heterogeneous models is provided. Combined with ISight model calibration and approximate model technology, 1D, 3D and other multi-dimensional coupling simulation, a complete and high-precision model for complex products can be obtained, and the product scheme can be comprehensively and quickly verified, optimized and weighed, and the selection and design of components can be realized.

♦ Multi-discipline Collaborative Design and Simulation

Based on the integration ability of multi-CAE tools of multidisciplinary integrated optimization tool ISight, the comprehensive verification of multi-physical field coupling such as force, heat, electromagnetism, vibration and noise is carried out according to the detailed design results. Combined with ISight's DOE, sensitivity analysis, approximate model and six Sigma design capabilities, help users to deeply and comprehensively understand the product design space, multi-dimensional quantitative analysis of the impact of design parameters on product performance, achieve multi-objective optimization, tradeoff and reliability improvement of products, so that products can obtain stronger market competitiveness. The automatic driving ability of the simulation process based on SLM can hand over the standardized and repetitive work to the computer, which can improve the efficiency of verification and optimization and greatly reduce the workload of engineers. Data traceability and task collaboration 3DE platform provides full-process data association traceability based on TRA, realizes the coordination between all stages of product research and development, and manages the change efficiently. With the help of data management and task management functions, the platform can maximize data value, realize the accumulation and reuse of enterprise knowledge, and improve the collaborative efficiency in the process of product research and development.

♦ whole process data association traceability

Based on TRA module and combined with RFLP process, it automatically realizes model-based full process traceability among requirements, functions, logic and physical layers, visually displays the model traceability relationship of different departments and different design stages, ensures the consistency of product R & D results and requirements, and real-time displays coverage, clearly judges the bottleneck of product R & D, and helps decision makers to fully grasp the implementation of the project. When the requirements change, inform the upstream and downstream designers of the data changes in time, quickly capture and intuitively display the traceability relationship changes, and locate the problems in change management. Support the web side to preview the internal elements of the file or model, achieve model sharing between the entire development team and other stakeholders, and improve the efficiency of overall communication and cooperation.

♦ data Management and Application

Based on the unified data source management function of the 3DE platform, through the integration with different types of R & D tools, the unified storage and classified management of different specialties and different types of R & D data produced in the process of R & D can be carried out to solve the problems of data isolated island, data loss, difficulty in efficient query, sharing and reuse, and realize the free flow of data. And based on data modeling, calibration, multi-disciplinary optimization and multi-attribute tradeoff, support scheme selection and optimization, form a knowledge base, applied to product design, verification and optimization, and maximize the value of data.

♦ R & D task coordination includes task management and data management based on 3DE platform, which integrates R & D personnel of different departments into virtual model development team, organically combines R & D personnel, tools, processes, data and knowledge, and realizes automatic management and control, and realizes unified task assignment in the process of model development and dynamic data transmission in the process of task execution, which can effectively improve the collaborative efficiency of product research and development. Through the coordination of task flow and data flow, the dynamic change of R & D tasks driven by R & D data is realized, which takes into account the versatility of process and the particularity of instantiation, and can effectively improve the practicability of the platform.

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