3DCS Best Fit and Optics Analysis - Beam Direction, Optical Sensors, Autonomous Controls Applications
The team at DCS will be presenting a detailed walkthrough of analyses focused on Best Fit scenarios for Locators, as well as controlling variation for sensor and beam projection in addition to a series of advanced functions for modelers
February 23rd, at 11 am EST, DCS will be presenting a free webinar on advanced modeling techniques that include a number of use cases that clearly show how tolerance analysis plays a role in far more than gaps and flushes.
A simple agenda belies a packed event:
- Best Fitting Complex Assemblies
- Light Projection and Optic Analysis
- Advanced 3DCS functionality
The Best Fit Move Gives You Solutions to Complex Assembly Issues
The Best-Fit move can fit multiple object parts to the target part(s). The object parts are independent from each other if points on each object part are used to locate each of them.
In addition to Best Fit, a number of advanced techniques will be shown and discussed -->
- Dynamic MidPoint - Basic function is creating a midpoint between two points
- Avg pt Move - Moves a point to the average center created by multiple points (DLL)
- Iteration Move - Rotate or translate a part to converge onto a desired measurement value
- MTM groups - Group MTMs to organize and simplify your navigation tree (MTMs - Moves, Tolerances, Measures)
- Combination Measure - Add, Subtract, or find the Minimum or Maximum value of a group of Measurements
- Non-Output Measurements - Maintain a measurement as active but not output it in the final results
- Model Variants - Used to change the model to a different scenario quickly using different Moves, Tolerances, or Measurements
- Hide/show feature - Clean up your graphics for easier understanding
- Mesh color control - Offset part mesh colors in your graphics for easier understanding
Optical Alignment Analysis for Beam Direction, Sensors, and Controls
Similar in scope to Valeo's presentation at the DCS User Conference (you can find a summary here) which controlled for dimensional variation that influenced the projection of the user interface on the windshield of a car, this model focuses on how dimensional variation affects the beam direction of a headlight, providing methods to control the variation and ensure proper beam projection.
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