Integrated Modeling and Analysis to Support Model-Based System Developments
Senior Research Engineer
Model-based systems engineering (MBSE) is an approach to improve traditional document-based systems engineering approach through the use of a system model. In the current practice of system developments, there exists a large gap between systems engineering activities and engineering analyses, because systems engineers and engineering analysts are using different models, tools and terminology. The gap results in inefficiencies and quality issues that can be very expensive to fix. An integrated modeling and analysis capability was developed that bridges the gap. The technical approach is based on integrating SysML modeling tools with a process integration and design optimization framework. A capability was developed to translate SysML parametric diagrams to analytical models and execute them. The results of engineering analyses are used to automatically check system requirements in SysML models. When this capability is combined with simulation of SysML behavioral diagrams, it is possible to predict how a system would perform during the course of a mission. These capabilities will be demonstrated using a couple of examples: a car brake design problem and mission analysis of a CubeSat, a miniature satellite. The integrated modeling and analysis approach allows engineers to perform continuous design, analysis, and trade studies throughout the design process, and respond quickly to changes in requirements and design configurations.
Hongman Kim is a senior research engineer and MBSE (model-based systems engineering) technology lead at Phoenix Integration. Currently he is working on a DARPA SBIR project that is developing an integrated modeling and analysis capability to support MBSE. He has worked on a number of government funded research projects during his tenure at Phoenix Integration. He was the technical lead of a NASA NRA project that developed custom data modeling capabilities to support high fidelity analysis and optimization. Prior to that, he led a NASA SBIR project that successfully commercialized advanced design point cloud visualization and design trade-off tools, and also worked on a NASA SBIR that developed a Web-based grid computing and collaborative design optimization environment. Before joining Phoenix Integration, he performed research at the Multidisciplinary Analysis and Design Center of Virginia Tech and Systems Engineering Research Institute in South Korea. He holds a PhD degree in Aerospace Engineering from Virginia Tech, and M.S. and B.S. degrees in Aerospace Engineering from Seoul National University.