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    Wyświetlanie 1-4 z 4
    Tytuł:
    Picea abies in Northrhine-Westphalia
    Autorzy:
    Schmitt, H P
    Heyder, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/40997.pdf
    Data publikacji:
    2009
    Wydawca:
    Polska Akademia Nauk. Instytut Dendrologii PAN
    Tematy:
    international conference
    Europe
    forest ecosystem
    plant breeding
    tree
    Norway spruce
    Picea abies
    plant survival
    survival
    genetic resource
    seed storage
    seed orchard
    Sauerland region
    Westphalia
    Germany
    Opis:
    The Sauerland region of southern Westphalia has the most economic stands of Norway spruce in the state of Northrhine-Westphalia (Germany). As shown by historical research and genetic analysis, the seeds for these stands were imported from Thuringia around the year 1880. Therefore, the two states are collaborating closely to secure the genetic variety of the spruce and develop new sources of seed supply. The survival of the Hochsauerland Norway spruce is now under threat: these stands have already been harvested or are due for harvesting shortly, in addition, many of the older stands were destroyed by the gale "Kyrill" in 2007, and only a few stands have remained. Since its foundation, the Forest Gene Bank of Northrhine-Westphalia has taken the following measures to preserve the gene pool of the Hochsauerland spruce and conserve it in the long term: storage of seed from 100 representative trees in all the most valuable stands of spruce (since 1985); establishment of seed orchards; and establishment of replacement stands. Thanks to those measures, the genetic information of the Norway spruce stands of Thuringian origin has been secured, and substantial stocks of seed are available for reforestation.
    Źródło:
    Dendrobiology; 2009, 61 Supplement
    1641-1307
    Pojawia się w:
    Dendrobiology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Enhancing laser step diagonal measurement by multiple sensors for fast machine tool calibration
    Autorzy:
    Dahlem, P.
    Montavon, B.
    Peterek, M.
    Schmitt, R. H.
    Powiązania:
    https://bibliotekanauki.pl/articles/99640.pdf
    Data publikacji:
    2018
    Wydawca:
    Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
    Tematy:
    machine tool calibration
    step diagonal measurement
    integrated calibration system
    Opis:
    The volumetric performance of machine tools is limited by the remaining relative deviation between desired and real tool tip position. Being able to predict this deviation at any given functional point enables methods for compensation or counteraction and hence reduce errors in manufacturing and uncertainties for on-machine measurement tasks. Time-efficient identification and quanitification of different contributions to the resulting deviation play a key role in this strategy. The authors pursue the development of an optical sensor system for step diagonal measurement methods, which can be integrated into the working volume of the machine due to its compact size, enabling fast measurements of the axes’ motion error including roll, pitch and yaw and squareness errors without significantly interrupting the manufacturing process. The use of a frequency-modulating interferometer and photosensitive arrays in combination with a Gaussian laser beam allow for measurements at comparable accuracy, lower cost and smaller dimensions compared to state-of-the-art optical measuring appliances for offline machine tool calibration. For validation of the method a virtual machine setup and raytracing simulation is used which enables the investigation of systematic errors like sensor hardware misalignment.
    Źródło:
    Journal of Machine Engineering; 2018, 18, 2; 64-73
    1895-7595
    2391-8071
    Pojawia się w:
    Journal of Machine Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A review on enabling technologies for resilient and traceable on-machine measurements
    Autorzy:
    Dahlem, Philipp
    Emonts, Dominik
    Sanders, Mark P.
    Schmitt, Robert H.
    Powiązania:
    https://bibliotekanauki.pl/articles/100047.pdf
    Data publikacji:
    2020
    Wydawca:
    Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
    Tematy:
    on-machine measurement
    thermal modelling
    production metrology
    Opis:
    On-Machine Measurements are a key factor for shorter closed quality control loops in industrial manufacturing. Especially for the production of large components, they promote the first-time-right approach, which is highly desirable, due to small quantities and steep value chains. In contrast to measurement rooms for CMMs, the production environment conditions are unregulated and impact multiple factors along the on-machine measurement metrological chain. As presented as a keynote speech at the XXXI CIRP Sponsored Conference on Supervising and Diagnostics of Machining Systems “MANUFACTURING ACTIVE IMPROVEMEN” by Professor Dr. Robert H. Schmitt, this article reviews current research and ideas regarding on-machine measurements. The authors collect necessary process data with the help of new technologies in the course of digitalization and thus propose a holistic model for systematic error compensation and measurement uncertainty prediction. For assessing the machine’s volumetric accuracy under thermal loads, the authors develop a novel modelling approach, which determines transient geometric errors by abstracting structural parts as spline curve with typical deformation modes. To address the workpiece’s influence on the measurement process, a data-driven framework, fusing real-time sensor-data with the virtual component, is used to model and predict transient thermo-mechanical workpiece states. For dissemination, the authors continue working on ISO standardization and, as subjects of future research, explore new paths in terms of data-driven modelling approaches, using physical abstractions coupled with machine learning and live process data.
    Źródło:
    Journal of Machine Engineering; 2020, 20, 2; 5-17
    1895-7595
    2391-8071
    Pojawia się w:
    Journal of Machine Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Model-based, experimental thermoelastic analysis of a large scale turbine housing
    Autorzy:
    Emonts, Dominik
    Sanders, Mark P.
    Montavon, Benjamin
    Schmitt, Robert H.
    Powiązania:
    https://bibliotekanauki.pl/articles/2052191.pdf
    Data publikacji:
    2022
    Wydawca:
    Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
    Tematy:
    thermal error modelling
    large scale metrology
    virtual climatisation
    Opis:
    Temporally and spatially unstable thermal conditions lead to inhomogeneous thermoelastic changes in the workpiece geometry. Consequently, non-negligible geometric deviations are evident, especially when measuring large workpieces with narrow tolerances, which often take place in non-climatized production environments and thus make thermal monitoring indispensable. Accurate determination of the thermoelastic behaviour for complex and large geometries is a challenging task with computationally effortful or less accurate existing solutions. Thus, the development of innovative measurement and modelling approaches is subject of current research, whereat physical validation is a prerequisite. Therefore, the authors developed a method, enabling the emulation of typical process heat cycles on a turbine housing in combination with a geometric measurement system. The idea is to provide reproducible and reversible thermal conditions on a representative large workpiece and to investigate the resulting geometric deformation in an economically viable way. Throughout this study, an analogy test rig is presented, integrating different temperature sensors, two geometric measurement systems and thermal deformation models into one demonstrator. The demonstrator's first applications show insightful results, revealing accordance, but also unexpected deviations between the predicted and measured quantities. Moreover, it provides great potential for validation of more complex modelling approaches and innovative thermal condition monitoring systems for large precision workpieces.
    Źródło:
    Journal of Machine Engineering; 2022, 22, 1; 84-95
    1895-7595
    2391-8071
    Pojawia się w:
    Journal of Machine Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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