A
Alexander Krämer
Researcher at RWTH Aachen University
Publications - 18
Citations - 270
Alexander Krämer is an academic researcher from RWTH Aachen University. The author has contributed to research in topics: Tool wear & Machining. The author has an hindex of 7, co-authored 18 publications receiving 212 citations.
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Influence of a High-Pressure Lubricoolant Supply on Thermo-Mechanical Tool Load and Tool Wear Behaviour in the Turning of Aerospace Materials:
TL;DR: In the field of machining difficult-to-cut materials like titanium or nickel-based alloys, the use of a high-pressure lubricoolant supply may result in a significant increase of productivity and pr...
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Thermo-Mechanical Tool Load during High Performance Cutting of Hard-to-Cut Materials
TL;DR: In this article, the influence of different cooling strategies on thermo-mechanical tool load during turning of different hard-to-cut materials is discussed. And the effects of the lubricoolant strategies high-pressure lubricant supply and cryogenic cooling with CO2 and LN2 are compared.
Journal ArticleDOI
Influence of the lubricoolant strategy on thermo-mechanical tool load
TL;DR: In this paper, the influence of the cooling strategy on thermo-mechanical tool load during turning of different hard-to-cut materials was analyzed and the tool wear behaviour of whisker reinforced cutting ceramics was evaluated.
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Potential of Modern Lubricoolant Strategies on Cutting Performance
TL;DR: In this paper, the authors evaluated the performance of a high-pressure coolant lubricant supply in turning difficult to cut materials, namely quenched and tempered but also stainless steel in comparison to the conventional flood cooling.
Journal ArticleDOI
Interdisciplinary Data Driven Production Process Analysis for the Internet of Production
Richard Meyes,Hasan Tercan,Thomas Thiele,Alexander Krämer,Julian Heinisch,Martin Liebenberg,Gerhard Hirt,Ch. Hopmann,Gerhard Lakemeyer,Tobias Meisen,Sabina Jeschke +10 more
TL;DR: It is shown that the insights gained from two largely different use cases are valuable to the domain experts of the other respective use case, facilitating cross-domain data driven production process analysis for future IoP scenarios.