🤖 AI Summary
This work addresses a critical gap in functionally graded additive manufacturing, where existing approaches focus predominantly on geometric or material distribution while neglecting the coordinated control of slicing and process parameters, thereby forcing users to manually configure slicer region settings—an inefficient and error-prone practice. To overcome this limitation, the authors propose a novel slicer project compilation pipeline that, for the first time, automatically maps implicit heterogeneous designs to the slicing layer. By leveraging spatial attribute partitioning, submesh extraction, and slicer-dialect serialization, the method generates syntactically compliant .3MF project files embedding submeshes, parameter recipes, and process states. It supports calibration from high-order properties—such as those of thermally responsive foaming materials—to process parameters, integrating three parameter systems: setting meshes, virtual extrusion, and color/material halftoning. Experimental validation demonstrates successful fabrication of specimens featuring gradient toolpaths, performance tuning, texture-process co-control, and color blending, replacing over 2,500 manual operations, with an open-source framework enabling extensible functionally graded manufacturing.
📝 Abstract
Functional gradients control part behavior by varying structure, material, or process conditions across an object. Yet functionally graded fabrication is usually framed as grading geometry or material distribution rather than the slicing and fabrication process itself. In material-extrusion printing, many functional effects arise from slicer-controlled mechanisms, including local toolpath planning, surface treatment, material assignment, color mixing, and printer state. Mainstream FFF slicers expose these mechanisms as settings, but users must manually reconstruct heterogeneous intent as assigned mesh regions. We present slicer project compilation, an automated workflow that lowers heterogeneous implicit designs into slicer-native .3MF projects containing sub-meshes, settings, recipes, and process-state assignments. The compiler partitions spatial attributes into finite regions, extracts aligned sub-meshes, and serializes them into the target slicer's project dialect while preserving native toolpath planning, preview, support generation, and printer profiles. We demonstrate the approach across three parameter classes: settings meshes, virtual extrusion, and color or material halftoning. We also introduce calibrated translation models for temperature-responsive foaming TPU and PLA, allowing high-level density and Shore-hardness fields to drive fabrication-ready process fields. Printed examples include graded toolpath settings, foaming-filament properties, combined texture and process-state control, and color or material-mixture halftoning, replacing more than 2,500 repetitive manual slicer interactions. Our open-source implementation connects heterogeneous design representations to existing slicer ecosystems and provides a reusable foundation for automated, scalable functionally graded FFF fabrication.