eBook: 5 Essential Functions of 3D ACIS Modeler

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What to do when your 3D Modeling Boolean Operations Fail?

Boolean operations on individual bodies are common functions in 3D modeling. While simple in concept, reality can be quite different — Boolean operations can fail for a variety of reasons, often the result of earlier Boolean operations. The most common reasons boil down to unclear design intent.

An incremental Boolean workflow is available to Spatial customers to increase the success rate of Boolean operations by performing localized optimization routines when a standard Boolean operation fails.

Improving CAD to Solver Process with 3D Precise Mesh

In much the same way as physical design has moved from paper 2D drawings to 3D models in software, so has analysis. Designers and manufacturers are rapidly moving away from physical models to perform analyses, such as structural integrity or airflow, in order to shorten design and optimization time, while dramatically improving both the performance and costs of their results.  The processes used for analyses require that the model be discretized into approximations, so that the mathematic equations can be solved at an appropriate scale.

Healing, not just for Precise 3D Models Anymore

In a recent blog post (Healing and Preserving 3D Model Intent) and eBook (Healing as an Essential Function), we wrote about the healing process within the 3D ACIS Modeler and 3D InterOp on precise (B-rep) models. To recap, healing is the process of modifying model data so that it conforms to the rules of the target system, while adhering to the intent of the source.

CGM Core Modeler Enhances Feature Recognition

The 2017 1.1 release of Spatial’s CGM™ Core Modeler improves the robustness of its feature recognition capabilities by extending the range of recognizable structures. Feature recognition rapidly identifies manufacturable structures in a model (such as holes, pads, logos, etc.), enabling users to group and perform subsequent operations on these constructs. This capability enables improvements to many workflows, such as reducing complexity for downstream simulation and analysis.

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