# A Generic Geometric Code-Parsing Framework for Corner Optimization in Curved-Surface Directed Energy Deposition

**Authors:** Lan Jiang, Zhongkai Li, Xiaofang Pan, Danya Li, Wenxin Liu, Ziyang Chen, Jun Liu

PMC · DOI: 10.3390/ma19040683 · 2026-02-11

## TL;DR

This paper introduces a new method to improve the quality of curved-surface 3D printing by optimizing toolpaths to reduce defects at corners.

## Contribution

A novel geometric code-parsing framework for corner optimization in curved-surface additive manufacturing is proposed.

## Key findings

- The method suppresses corner overbuild and morphological distortion in curved-surface deposition.
- It improves dimensional consistency and surface quality without altering the CAD model or slicing workflow.
- The strategy is scalable and applicable for high-precision industrial additive manufacturing.

## Abstract

Laser-cladding directed energy deposition enables both the repair and fabrication of complex metallic components with curved surfaces. However, during multi-axis deposition on curved substrates, sharp transient feed-rate fluctuations at corner segments—together with an approximately constant powder feed rate—readily cause local over-deposition and geometric defects (e.g., nodules and humps). These defects compromise surface-profile fidelity, thereby creating a major barrier to practical deployment. To overcome this limitation, we propose a corner-oriented path-optimization strategy based on geometric code parsing. By operating directly on the toolpath without modifying the Computer-Aided Design model or slicing workflow, the proposed method suppresses corner overbuild and associated morphological distortion in curved-surface directed energy deposition, substantially improving dimensional consistency and surface quality. Overall, this strategy provides a scalable and broadly applicable route toward high-precision, high-reliability, industrial-scale curved-surface additive manufacturing.

## Full-text entities

- **Diseases:** Corner-Accumulation Defects (MESH:C535793), DED (MESH:D051556), injury to (MESH:D014947)
- **Chemicals:** diamond (MESH:D018130), water (MESH:D014867), polymer (MESH:D011108), Metal (MESH:D008670), Pi (MESH:D010716), steel (MESH:D013232), stainless-steel (MESH:D013193), CMI (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Mutations:** start/stop, 316L, A 316L

## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12941923/full.md

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Source: https://tomesphere.com/paper/PMC12941923