KNowledge Based Innovation Detection And Control Framework To Foster Scientific Research Projects In Material Science
This paper introduces a comprehensive concept idea for building up a knowledge based innovation framework for scientific research projects in general and especially in the field of material science (IConMas). Regarding the aspect of material science the aim is to develop and establish a knowledge based material innovation method. Both aspects, innovation framework and innovation method, are integrated in a common concept which is accurately described within this paper. The outlook focuses on possibilities for realizing the concept and further work in the project.
Knowledge Based Technologies for Promoting Innovation in Material Science
Materials and their properties are nowadays mostly represented either in forms of material data bases or digital data sheets. While these are sources of facts about the particular materials, the interconnection between the different materials, their usage and development is still lacking. Besides, the data bases are mostly distributed, run by different institutions or specialized on only one category like metals or polymers. The given article addresses the application of knowledge management in the area of material science and engineering for gathering, representing and distributing knowledge as well as supporting a sustainable material and product development. Sustainability, green engineering and innovativeness are crucial deciding factors for today’s material development and should therefore be addressed and integrated in the scope of promoting innovation in material science. To accomplish the aforementioned goal, a combination of semantic and case based methods will be applied in a holistic concept, entitled MatProSQI. It is thus become possible to interconnect and reference fact or knowledge of materials, like category, property, test results, production requirements, sustainability factors, user feedback and experiences of former applications. In addition to the representation of knowledge, collaboration between the engineers is detected as an essential factor for a steady transfer of knowledge.
A comparison of experimental thermal stratification parameters for an oil/pebble-bed thermal energy storage (TES) system during charging
Six different experimental thermal stratification evaluation parameters during charging for an oil/pebble-bed TES system are presented. The six parameters are the temperature distribution along the height of the storage tank at different time intervals, the charging energy efficiency, the charging exergy efficiency, the stratification number, the Reynolds number and the Richardson number. These parameters are evaluated under six different experimental charging conditions. Temperature distribution along the height of the storage tank at different time intervals and the stratification number are parameters found to describe thermal stratification quantitatively adequately. On the other-hand, the charging exergy efficiency and the Reynolds number give important information about describing thermal stratification qualitatively and should be used with care. The charging energy efficiency and the Richardson number have no clear relationship with thermal stratification.