Method and system for automatically constructing editable model of isogeometric topology optimization result
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Solution Overview
Problem
Existing isogeometric topology optimization results for three-dimensional complex problems are difficult to express and cannot be arbitrarily selected or edited in CAD software due to the use of STL format, losing the original advantages of low time consumption and high accuracy.
Innovation Solution
Decompose three-dimensional isogeometric topology optimization problems into two-dimensional problems, process the results into selectable and editable NURBS models, and import them into CAD software for editing, using methods such as lofting and cutting to construct an editable model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If STL format is used to represent three-dimensional isogeometric topology optimization results, then the results can be generated, but the results cannot be selected and edited arbitrarily in CAD software
Solution Approach 1:
The patent segments the three-dimensional isogeometric topology optimization problem into multiple two-dimensional optimization problems with parallel design domains. This segmentation allows each layer to be processed independently while maintaining the ability to select and edit individual layers in CAD software, thus resolving the contradiction between editability and format conversion.
Solution Approach 2:
The patent transforms the three-dimensional optimization result into a series of two-dimensional layers, enabling selective editing of individual layers in CAD software. This dimensional reduction allows the optimization results to maintain editability while avoiding the limitations of STL format, thus preserving isogeometric advantages.
2Productivity
If contour surfaces are found and triangular patches are established to form STL files, then three-dimensional entities can be generated, but the original advantages of isogeometric topology optimization are lost
Solution Approach 1:
The patent segments the three-dimensional model into multiple two-dimensional layers, allowing rapid processing of each layer independently. This segmentation enables the modeling process to maintain high productivity while producing results that can be easily edited in CAD software, avoiding the time-consuming STL conversion process.
Solution Approach 2:
The patent performs preliminary layering of the three-dimensional optimization result into two-dimensional slices before importing into CAD software. This preliminary action prepares the data in a format that is both efficient to process and easy to edit, eliminating the need for subsequent STL conversion and manual editing.
3Manufacturing precision
If three-dimensional isogeometric topology optimization problems are solved directly, then high accuracy is achieved, but the results are difficult to express and process
Solution Approach 1:
The patent transforms the three-dimensional optimization result into two-dimensional layers, making the results easier to process and edit while maintaining the high accuracy of the original isogeometric optimization. This dimensional transformation allows standard CAD operations to be applied to each layer independently.
Solution Approach 2:
The patent segments the three-dimensional result into multiple two-dimensional layers, improving the ease of operation by allowing individual layers to be processed, edited, and manipulated independently in CAD software while preserving the accuracy of the original optimization.
Data Source
AI summary
Disclosed is a method for automatically constructing an editable model of an isogeometric topology optimization result. The method addresses the problem of three-dimensional isogeometric topology optimization, and performs quick and efficient post-processing on a three-dimensional isogeometric topology optimization result, so as to achieve the aim of automatically constructing a result model thereof and the aim of the result model being editable. According to the method, design variables are taken as high-dimensional coordinates of a control point, spline surfaces represented by control points of the three-dimensional isogeometric topology optimization result are extracted in a layered manner, and lofting is performed on top contours of the spline surfaces, such that the steps of constructing an isogeometric topology optimization model are simplified.