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The magazine for production research from Hanover
IPH | In cooperation with Otto Fuchs KG, IPH is researching methods to predict and avoid thin flash during flashless forging of aluminum. The development of target-oriented sealing concepts should significantly increase process efficiency in the future.
IPH | The goal is to build recycling loops for 3D printing: Scientists at the Institut für Integrierte Produktion Hannover (IPH) gGmbH are researching process steps for obtaining and processing recycled plastic materials.
ITA | At the 14th International Congress MID, the conference paper by Ejvind Olsen, research associate at ITA, was awarded a Best Paper Award. His paper is about additive manufacturing of conductive copper traces.
IKK | Plastic has a bad reputation. Yet plastic can be recycled like almost no other material. Recycling and other innovative solutions for more sustainable plastic products will be the topic of the WIP Annual Forum on June 16, 2021.
IMPT/IQ | In order to measure the gravitational acceleration g due to gravity with high precision, scientists are developing miniaturized quantum gravimeters. These could be used on satellites and in research rockets, to study climate change or for earthquake warning.
LZH | At the beginning of the year 2021, Professor Dr.-Ing. Ludger Overmeyer has taken over the presidency of the German Scientific Laser Society (WLT). Professor Overmeyer is a member of the Board of Directors of the Laser Zentrum Hannover e.V. (LZH) and Chairman of its Scientific Directorate.
GREAN | At the beginning of 2020, GREAN GmbH surveyed manufacturing companies about the impact of the Corona crisis. It repeated this study in the winter to answer various questions: What has changed in manufacturing since then? What issues will be important to companies in the future?
IMPT | The magnetic information platform (MIP), developed by a start-up from the Institute of Micro Production Technology (IMPT), is significantly more robust than RFID. The new technology can withstand high temperatures and harsh environments and can be read through metallic layers.
IFW | Estimating the effort of production orders is a complex task. Machine learning methods can provide support, but data preparation is time-consuming. The solution: Automated data preparation and effort estimation with the JobTRADE platform.