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德国Bayreuth University 高分子材料学院院长Dr.Professor Volker Altstaedt来访

编辑:group1  时间:2012-04-27 13:07:31   访问次数:3238

      Dr.Professor Volker Altstaedt具有两重身份,他既是德国Bayreuth University 高分子材料学院院长,又是德国Neue Materialien Bayreuth GmbH公司CEO,还曾供职于Benz和BASF等公司。他的主要研究领域和专长:高分子复合材料和纳米复合材料,高分子材料的疲劳特性。
      Dr.Professor Volker Altstaedt于4月26日参观了重点实验室,并给重点实验室的师生做了“NMB - A State Institution with Research Mission”的报告,着重分享了德国研究所/高校如何把科研转化为生产力,如何更快地把科研转化为生产力?并对师生的问题进行了解答。双方对于聚合物发泡材料加工方向,进行了详细探讨。

   The lecture gives a introduction to the mission and operation of a public research institute in Bavaria called "Neue Materialien Bayreuth GmbH (NMB)". This institute is focused on the development of new materials and processes. After a brief history, the bussinesplan of the company and especially the cooperation with industiral partersin the local region will be explained. In addition different public funding models offered by the State of Bavaria are explained and some typical examples for succesfull rearch cooporations are presented.
   The company focuses on the development of innovative process technologies in order to manufacture near net-shape metallic and polymer lightweight constructions. Based on high pressure die casting and injection molding especially composites, foamed materials, and hybrid structures are the main topics.
   In the devision of  Polymers Injection moulding, foam injection moulding with physical or chemical foaming agents and thermoforming of long-fibre reinforced thermoplastics are manufacturing processes which have - each for itself - a great importance for the manufacturing of extensive moulded parts. They all have in common a high adaptability and cost-effective production. The combination of different processes in one tool leads to the combination of the specific advantages in one finished part. For the field testing of these manufacturing potentials, the technical equipment lab of Neue Materialien Bayreuth GmbH has installed a press-injection moulding machine. A moulding tool realizes the process combinations and thus enables near-product trials.