Digital fringe projection profilometry (DFPP) is a widely used technique for full-field, non-contact 3D surface measurement, offering precision from the sub-micrometer-to-millimeter scale depending on system geometry and fringe design. This review provides a consolidated synthesis of advances reported between 2022 and 2025, covering projection and imaging architectures, phase formation and unwrapping strategies, calibration approaches, high-speed implementations, and learning-based reconstruction methods. A central contribution of this review is the integration of these developments within a metrological perspective, explicitly relating phase–height transformation, fringe parameters, system geometry, and calibration to dominant uncertainty sources and error propagation. Recent progress highlights trade-offs between sensitivity, robustness, computational complexity, and applicability to non-ideal surfaces, while learning-based and hybrid optical–computational approaches demonstrate substantial improvements in reconstruction reliability under challenging conditions. Remaining challenges include measurements on reflective or transparent surfaces, dynamic scenes, environmental instability, and real-time operation. The review outlines emerging research directions such as physics-informed learning, digital twins, programmable optics, and autonomous calibration, providing guidance for the development of next-generation DFPP systems for precision metrology.

Fused filament fabrication (FFF) is a popular additive manufacturing technique with the ability to produce products in industries such as automotive, aerospace, and medical due to the potential for material waste and the manufacturing of complex geometries with different materials. For high-strength parts, it is crucial to investigate and optimize printing parameters to make the printed parts as strong as possible. This work will focus on the experimental investigation of parameter optimization for the strength of carbon fiber reinforced PET-G (PETG+CF), which is carried out using Taguchi's method and the samples were produced according to the orthogonal matrix L16 and to study if influence by ANOVA (analysis of variance). It was possible to conclude that the best parameters for the tensile strength of PETG+CF with temperature of 250° C, part orientation at 60°, layer height of 0.30mm, 100% fill density and with triangle fill pattern.