🚀[FEA]: Shape deviation prediction and compensation

[dearleiii]

Is this a new feature, an improvement, or a change to existing functionality?

New Feature

How would you describe the priority of this feature request

Critical (currently preventing usage)

Please provide a clear description of problem you would like to solve.

The prediction engine evaluates shape deviation of additive manufacturing by comparing the scanned or adjusted model to the ground truth deviation, while the compensation engine formulates shape compensation plans to ensure geometric precision and design accuracy after printing, addressing location-dependent variabilities within the print chamber.

Describe any alternatives you have considered

Conventional approaches to geometric precision control often rely on intricate parameterized shape deviation models, coupled with repetitive metrology components, which can be cumbersome and time-consuming. Our approach is a significant advancement in developing a data-driven algorithm that precisely captures and compensates for complex shape deviations in computer-aided designs (CADs) across different areas of the printing environment.