Surfaces are frequently treated by using sandblasting equipment or centrifugal blast wheels. The technical systems involved range from large-scale, continuous-use machines to manual techniques involving blasting booths. Working on behalf of a medium-sized company, on a project sponsored by the Federal Ministry of Economics and Technology, Steinbeis experts from Chemnitz have developed a new generation of compact machines, specially designed to sandblast small aluminum parts.
Using scientific methods, the Steinbeis experts worked out the ideal blast wheel geometry to optimize jet performance, prevent material damage and efficiently treat surfaces. Their development work resulted in the construction of a blasting booth which allows for 40 parts to be treated at the same time, thanks to a specially developed motion system. The process and the equipment have been patented.
Professor Dr.-Ing. habil. Eberhard Köhler
Steinbeis Transfer Center Drive Engineering and Robotics in Engineering (Chemnitz)
It is generally advantageous to companies to own large volumes of information, and this mostly also holds true for the fields of security and risk management. However, too much information can also be counterproductive. In fact, it can even be damaging to a company. During its international projects, Steinbeis Advanced Risk Technologies has often run into the issue: Which information – from the mass of available data – is relevant to decision-making? To identify this information, the enterprise has developed its own solutions.
These solutions are based on three principles: multilingual solutions, automatically translated content and the automated compression of large volumes of data. The soft- ware packages developed by Steinbeis Advanced Risk Technologies work across several languages and allow users to translate content into any other language themselves. More “autonomous” automatic translation allows SMEs to seamlessly combine security data. For example, PromisLingua projects work in English, German, Italian, Spanish, French, Portu- guese, Greek, Romanian and Hungarian. Large volumes of information can be compressed by using a technique involving semantic networks. The information is examined with the aim of identifying “internal structures” and concepts or connections contained within these structures. This enables “customized” identification of content which is important in terms of security or risk. The solutions are currently undergoing further development as part of a variety of projects in collaboration with clients and business partners.
Prof. Dr.-Ing. Aleksandar Jovanovic
Steinbeis Advanced Risk Technologies GmbH (Stuttgart)
The Poppenhausen-based Steinbeis Research Center for Medical Physics and Information is working on a project with the recently established high-tech medical company Geratherm Respiratory from Bad Kissingen. Project goals: to translate research findings quickly into innovative medical solutions.
New high-tech companies are often short of the experienced research and development staff they need to implement new and innovative products. Geratherm Respiratory and the Steinbeis research center have been working successfully in close cooperation to transfer research findings from the field of medicine, physiology and physics into the development of new diagnostic methods needed in cardio-vascular treatment. While the Steinbeis center deals with the processing and implementation of the findings, the company looks at technical requirements and certification. Together they have already implemented new medical diagnostic methods in recent months, primarily in the clinical setting.