1：Experimental Design and Method Selection:

The system integrates a fringe projection-based 3D scanner with an industrial robot. Methods include a double filter set and intelligent temperature control for heat resistance, time-division-multiplexing trigger for faster data transmission, improved multi-frequency phase-shifting method to reduce pattern count, view integration method for data alignment based on robot repeatability, and a robust ICP-based registration algorithm for noise-insensitive data alignment.

2：Sample Selection and Data Sources:

Thermal axles from a forging production line are used as samples. Data are acquired using the 3D scanner and cameras.

3：List of Experimental Equipment and Materials:

Industrial grayscale cameras, high lumen blue light digital micromirror device projector, microcontroller for synchronization, industrial robot, cooling system with air pump, heat exchanger, semiconductor thermoelectric cooling device, IR cut filter, blue light filter, reflective material, coordinate measuring machine (HEXAGON GLOBAL CLASSIC SR 07.10.07), portable photogrammetry camera, AutoScan software, Geomagic Control X software.

4：07), portable photogrammetry camera, AutoScan software, Geomagic Control X software. Experimental Procedures and Operational Workflow:

4. Experimental Procedures and Operational Workflow: The robot moves the sensor to scheduled positions; at each position, the sensor projects patterns and captures images; data are processed to generate point clouds; alignment and registration are performed using the proposed methods; key dimensions are extracted and compared to design models.

5：Data Analysis Methods:

Statistical analysis of nearest neighbor distances for adaptive thresholding in ICP, SVD method for solving rotation and translation matrices, and comparison with design models for dimension extraction.