{"id":3579,"date":"2022-07-08T13:07:32","date_gmt":"2022-07-08T11:07:32","guid":{"rendered":"https:\/\/cirpicme.org\/?page_id=3579"},"modified":"2022-07-26T13:06:53","modified_gmt":"2022-07-26T11:06:53","slug":"machine-tools-special-machines","status":"publish","type":"page","link":"https:\/\/cirpicme.org\/index.php\/machine-tools-special-machines\/","title":{"rendered":"Machine Tools & Special Machines"},"content":{"rendered":"\n
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To access the paper presentation page (paper info, video viewing, Q&A posting), please click on the paper title.<\/p>\n\n\n\n

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  1. Operational modal analysis used to identify dynamic behaviour of machine tools during milling<\/a><\/strong><\/strong><\/strong><\/strong><\/strong>
    Jan Berthold<\/span>, Joachim Regel, Martin Dix, Welf-Guntram Drossel (Germany)<\/em><\/li>
  2. A Hybrid, Distributed Condition Monitoring System using MEMS Microphones, Artificial Neural Networks, and Cloud Computing<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Frithjof Dorka<\/span>, Dominik Lucke, Grant P. Richards (Germany)<\/em><\/li>
  3. Technology framework for system-based employee support in the project planning of special machines<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Max Eichenwald<\/span>, Martin Karkowski, Rainer Mueller (Germany)<\/em><\/li>
  4. Potential of systematically generated training datasets on the accuracy and generalization of AI-based approaches for the automated identification of machine control signals<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Philipp Goennheimer, Robin Stroebel, Alexander Rosskopf, Roman Doerflinger<\/span>, Iris Walter, Juergen Becker, Juergen Fleischer (Germany)<\/em><\/li>
  5. Collision avoidance and adaptive path planning in machine tools by matching live image data with a geometric simulation<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Malte Hansjosten<\/span>, Juergen Fleischer, Markus Frings, Sven Odendahl, Marc Stautner (Germany)<\/em><\/li>
  6. Industry-Oriented System Architecture for Feature-Based Data Management in CNC Machining Processes<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Gernot Mauthner<\/span>, M. Hoffmann, L. Plessing, Thomas Trautner, Friedrich Bleicher (Austria)<\/em><\/li>
  7. A Domain Knowledge-based Approach for Fault Diagnosis<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Markus Netzer, Philipp Alexander<\/span>, Tobias Schlagenhauf, Juergen Fleischer (Germany)<\/em><\/li>
  8. Drives’ stiffness of 5-axis machine designs: Evaluation and comparison by Schur complement eigenvalues<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Vladimir T. Portman<\/span>, Emmanuil Kushnir (Israel)<\/em><\/li>
  9. Auto-identification of dynamic axis models in machine tools<\/a><\/strong>
    Alexander Puchta<\/span>, Valentin Riegel, David Barton, Juergen Fleischer (Germany)<\/em><\/li>
  10. Calibration of a strain gauge-equipped force measuring unit using machine learning algorithms<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Max Richter<\/span>, Omar Khalifa, Kamil Guezel , Hans-Christian Moehring (Germany)<\/em><\/li>
  11. Lightweight design of a gripping system using a holistic systematic development process – A case study<\/a><\/strong><\/strong><\/strong><\/strong><\/strong>
    Johannes Scholz<\/span>, Jerome Kaspar, Kristian Koenig, Marco Friedmann, Michael Vielhaber, Juergen Fleischer (Germany)<\/em><\/li>
  12. Identical NC-code on Different Machine Tools – Similarities and Differences in Timing and Positioning<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Berend Denkena, Benjamin Bergmann, Tobias H. Stiehl<\/span> (Germany)<\/em><\/li>
  13. Split CFD-simulation approach for effective quantification of mixed convective heat transfer coefficients on complex machine tool models<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Tharun Suresh Kumar<\/span>, Alexander Geist, Christian Naumann, Janine Glaenzel, Steffen Ihlenfeldt (Germany)<\/em><\/li>
  14. A systematic approach for data acquisition and analysis of spindle speed- dependent modal parameters<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Florian Woeste<\/span>, Jim A. Bergmann, Petra Wiederkehr (Germany)<\/em><\/li><\/ol>\n\n\n\n

    <\/p>\n","protected":false},"excerpt":{"rendered":"

    To access the paper presentation page (paper info, video viewing, Q&A posting), please click on the paper title. Operational modal analysis used to identify dynamic behaviour of machine tools during millingJan Berthold, Joachim Regel, Martin Dix, Welf-Guntram Drossel (Germany) A Hybrid, Distributed Condition Monitoring System using MEMS Microphones, Artificial Neural…<\/p>\n

    Continue reading<\/span><\/i><\/a> <\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"nf_dc_page":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-3579","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/3579","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/comments?post=3579"}],"version-history":[{"count":5,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/3579\/revisions"}],"predecessor-version":[{"id":3985,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/3579\/revisions\/3985"}],"wp:attachment":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/media?parent=3579"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}