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        <datestamp>2026-10-05T17:27:26Z</datestamp>
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          <dc:title>&lt;p&gt;Materials and dimensions of key components.&lt;/p&gt;</dc:title>
          <dc:creator>Jiamin Zhang (673881)</dc:creator>
          <dc:creator>Jiahui Zhang (3163929)</dc:creator>
          <dc:creator>Ning Lü (5662423)</dc:creator>
          <dc:creator>Shuaiqi Chen (12993045)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Environmental Sciences not elsewhere classified</dc:subject>
          <dc:subject>Ecology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Science Policy</dc:subject>
          <dc:subject>Plant Biology</dc:subject>
          <dc:subject>tool analog specimen</dc:subject>
          <dc:subject>movable joint locations</dc:subject>
          <dc:subject>maximum frequency discrepancies</dc:subject>
          <dc:subject>dependent structural dynamics</dc:subject>
          <dc:subject>dependent natural characteristics</dc:subject>
          <dc:subject>based predictions rather</dc:subject>
          <dc:subject>78 %, respectively</dc:subject>
          <dc:subject>slider stiffness parameters</dc:subject>
          <dc:subject>workspace calculations predicted</dc:subject>
          <dc:subject>reported workspace trends</dc:subject>
          <dc:subject>pose modal measurements</dc:subject>
          <dc:subject>model checking used</dc:subject>
          <dc:subject>axis pose variables</dc:subject>
          <dc:subject>xlink "&gt; five</dc:subject>
          <dc:subject>-, z -,</dc:subject>
          <dc:subject>one reference pose</dc:subject>
          <dc:subject>slider joints</dc:subject>
          <dc:subject>axis machine</dc:subject>
          <dc:subject>reference pose</dc:subject>
          <dc:subject>pose data</dc:subject>
          <dc:subject>x -,</dc:subject>
          <dc:subject>whereas spindle</dc:subject>
          <dc:subject>twelve screw</dc:subject>
          <dc:subject>six modules</dc:subject>
          <dc:subject>regular regions</dc:subject>
          <dc:subject>irregular regions</dc:subject>
          <dc:subject>held constant</dc:subject>
          <dc:subject>gravity rose</dc:subject>
          <dc:subject>genetic algorithm</dc:subject>
          <dc:subject>equivalent springs</dc:subject>
          <dc:subject>computationally inefficient</dc:subject>
          <dc:subject>beam center</dc:subject>
          <dc:subject>ball screw</dc:subject>
          <dc:subject>ansys apdl</dc:subject>
          <dc:subject>5 mm</dc:subject>
          <dc:description>&lt;div&gt;&lt;p&gt;Five-axis machine tools exhibit pose-dependent structural dynamics, but repeated full finite element reconstruction across the workspace is computationally inefficient. We developed a parametric finite element workflow in ANSYS APDL for a five-axis machine-tool analog specimen. The structure was divided into six modules; regular regions were sweep-meshed and irregular regions were represented with quadratic SOLID186 elements using nominal element sizes of 20, 10, and 5 mm. Bearing, ball screw-nut, and linear guideway-slider joints were represented by equivalent springs. Twelve screw-nut and guideway-slider stiffness parameters were calibrated with a genetic algorithm against the first six natural frequencies measured at one reference pose. Movable joint locations were updated from the X-, Y-, Z-, A-, and C-axis pose variables while the identified joint stiffness values were held constant. At the reference pose, the mean and maximum frequency discrepancies between the calibrated model and experiment were 3.29% and 8.78%, respectively. Workspace calculations predicted that the first natural frequency decreased as the beam center of gravity rose, whereas spindle-dominated local modes showed similar trends among working planes. Because calibration and model checking used the same reference-pose data and no multi-pose modal measurements were available, the reported workspace trends should be interpreted as model-based predictions rather than independently validated responses.&lt;/p&gt;&lt;/div&gt;</dc:description>
          <dc:date>2026-10-05T17:27:05Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.1371/journal.pone.0359727.t002</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/_p_Materials_and_dimensions_of_key_components_p_/34071521</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
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