Content driven generation of RFLP structured Engineering System representation

This paper is about new methods which are contributions to system level interdisciplinary definition of multidisciplinary engineering structure (ES). Definition of ES is flexible. It may be product, functional unit, or experimental configuration of components. Developers of engineering modeling systems were forced to extend conventional physical level representations with system level representations for requirements, functions, and logical connections during the past decade. Methods were involved in modeling of ES from requirements engineering (RE), systems engineering (SE), system of systems engineering (SoSE), and intelligent computing. In this way, the requirements, functional, logical, and physical (RFLP) structure of ES model was introduced in leading product lifecycle management (PLM) systems making efforts towards virtually executable product representations, and multiphysics coordinated simulations. Early recognition of the above trend motivated the Laboratory of Intelligent Engineering Systems (Óbuda University) for research in content structure driven generation of connected RFLP structure elements. In this context, content is defined as information or knowledge which is in the background of RFLP structure element definition. Using the resulted methods, troublesome dialogue definition of RFLP structure elements can be gradually replaced by content driven and engineer controlled generation. In this paper, former own results in multilevel abstraction as well as in representation of human intent and product behavior are applied at development of improved IBCA content structure for organized representation of human contribution initiatives (I), product behaviors (B), contextual connections (C), and physical object definition actions (A). Following this, connections within IBCA content structure representations and driving connections towards RFLP structure elements are discussed. Implementation of the reported contribution is intended in RFLP structure enabled PLM systems using wide definition and open architecture capabilities.