Virtual Prototyping and Validation of Cpps within a New Software Framework

Abstract

Abstract:As a result of the growing demand for highly customized and individual products, companies need to enable flexible and intelligent manufacturing. Cyber-physical production systems (CPPS) will act autonomously in the future in an interlinked production and enable such flexibility. However, German mid-sized plant manufacturers rarely use virtual technologies for design and validation in order to design CPPS. The research project Virtual Commissioning with Smart Hybrid Prototyping (VIB-SHP) investigated the usage of virtual technologies for manufacturing systems and CPPS design. Aspects of asynchronous communicating, intelligent-and autonomous-acting production equipment in an immersive validation environment, have been investigated. To enable manufacturing system designers to validate CPPS, a software framework for virtual prototyping has been developed. A mechatronic construction kit for production system design integrates discipline-specific models and manages them in a product lifecycle management (PLM) solution. With this construction kit manufacturing designers are able to apply virtual technologies and the validation of communication processes with the help of behavior models. The presented approach resolves the sequential design process for the development of mechanical, electrical, and software elements and ensures the consistency of these models. With the help of a bill of material (BOM)-and signal-based alignment of the discipline-specific models in an integrated mechatronic product model, the communication of the design status and changes are improved. The re-use of already-specified and -designed modules enable quick behavior modeling, code evaluation, as well as interaction with the virtualized assembly system in an immersive environment.

Research hotspots and tendency of intelligent manufacturing

“…造、大数据和物联网技术, 此外还有在生产中应用的 CPS--信息物理生产系统(CPPS) [46] 、3D打印以及大 数据时代衍生出的深度学习算法 [47] "智慧工厂" [48] 提供了强有力的技术支持. 目前我国已 开展了相关智能制造示范项目的研发及实施 [49] 专家系统是最早应用在智能制造中的智能技术 [50] , 主 要由知识库和推理机组成, 仅能部分代替或者辅助人 在制造过程中的决策作用, 缺乏灵活性和鲁棒性; 神经 网络是以数据为基础的智能技术 [51] , 能够在一定程度 上学习和适应变化, 可以在很少人为干预的情况对生 产制造过程各类问题进行优化; Agent技术能够通过社 交、学习、推理等方法感知和适应制造过程中复杂的 动态环境, 具有很强的开放性、灵活性、适应性和鲁 棒性 [52] .…”

Application of Industrial Methods in Engineering Education

“…Especially the execution of the process and resource planning is crucial for following production processes, as processes, methods and tools are defined in an early collaboration with the development domains. [9] Although todays production facilities consist of mechatronic systems as well, systems engineering based development is not commonly applied in today's production planning [10]. Rather than using iterative development processes, production planning is mostly based on linear processes, as described by VDI 5200 [11].…”

Evaluating the Hardware Performance Counters of an Xtensa Virtual Prototype

“…Virtual Prototypes (VPs) have been increasingly applied in hardware and software development, integration, and validation before silicon devices are ready [10]. Virtual prototyping techniques are widely explored and used by both industrial engineers and academic researchers, enabling early firmware development.…”