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Purging Old Misconceptions: Best Practices for Meshing in Simulation Moldflow Insight

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説明

This class will cover the use of meshing options in Simulation Moldflow software. We frequently find that the Simulation Moldflow software user is unaware or unsure of which mesh type to use or what it is that constitutes a suitable mesh for a given geometry. We will discuss what a suitable mesh consists of and how the mesh helps to create more accurate results when running an analysis. We will cover, among other things, the importance of a refined mesh versus a course mesh, and we will discuss the instances when the over refinement of a mesh versus the under refinement no longer poses a benefit to an analysis. We will also explore common issues that we find with different mesh types, and we'll look at ways in which to manually improve the quality of a mesh.

主な学習内容

  • Understand the need for proper mesh representation and configuration
  • Discover the ideal use of mesh types, mesh options, and mesh configuration
  • Discover the influence of improper mesh use
  • Learn how to incorporate other tools to improve quality

スピーカー

  • Caitlin Tschappat
    Caitlin graduated from Penn State University with a Bachelor of Science degree in Plastics Engineering Technology. She has been with Autodesk for two years and is a Technical Support Specialist primarily focusing on Autodesk Moldflow. She has gained her knowledge through hands-on experiences through her degree at Penn State and previous industry experiences. This is Caitlin’s second time at Autodesk University.
  • Justin Courter
    Jaykant Desai has been with Schneider Electric (formerly Square D Company) in Raleigh, North Carolina, for the last 17 years. After obtaining his master’s degree in plastic engineering from University of Massachusetts Lowell, he joined Schneider Electric. Currently, he has been working with the company as a senior staff engineer. He has been using the Simulation software since he joined the company, and contributing toward the goal of molding quality parts at the first attempt. Desai has also been actively working with Moldflow software in order to improve the software capabilities.
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