Evidence map›Paper›PMID 42076200›Full record

ArticleMicromachines2026

Research on Angle-Adaptive Look-Ahead Compensation Method for Five-Degree-of-Freedom Additive Manufacturing Based on Sech Attenuation Curve.

Xingguo Han, Wenquan Li, Shizheng Chen, Xuan Liu, Lixiu Cui

Abstract read
In one paragraph

Article in Micromachines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xingguo HanCollege of Mechanical and Control Engineering, Guilin University of Technology, Guilin 541006, China.
Wenquan LiCollege of Mechanical and Control Engineering, Guilin University of Technology, Guilin 541006, China.
Shizheng ChenSchool of Mechanical Engineering, Guangxi University, Nanning 530004, China.
Xuan LiuUniversity Engineering Research Center of Non-Standard Intelligent Equipment and Process Control Technology, Guilin 541004, China.
Lixiu CuiGuangxi Key Laboratory of Special Engineering Equipment and Control, Guilin 541004, China.

Funding

Guangxi Key Research and Development Project 2024AB33018Guangxi Nature Science Foundation 2024GXNSFAA010338GUAT Special Research on the Strategic Development of Distinctive Interdisciplinary Fields TS2024121National Natural Science Foundation of China 52365043
6 · The paper itself

Abstract

To address over-extrusion and forming defects at path corners caused by path overlap in additive manufacturing, this paper proposes an angle-adaptive look-ahead compensation algorithm based on a Sech attenuation curve. This method establishes a mapping model between the path angle and the adaptive look-ahead distance of the overlapping area, aiming to eliminate the material accumulation at the corner by precisely identifying the overlapping area and modulating the flow rate. By building a Beckhoff five-axis 3D-printing device and relying on the TwinCAT control platform, the compensation triggering logic based on PLC real-time Euclidean distance calculation was realized, and a slicing software with dynamic bias compensation was also developed. Experiments were conducted on triangular samples with extreme acute angles of 5°, universal acute angles of 85°, and 90° straight angles for printing verification. The results show that this algorithm can effectively suppress the material over-extrusion and accumulation at the path overlap in multiple angles, achieving a smooth transition of the sharp corners in the printed contour. The research confirms that the algorithm proposed in this study, together with the integrated software and hardware system, can ensure the forming accuracy of extreme and conventional geometric features while also guaranteeing the printing efficiency, providing an important reference for ensuring the quality coordination control of the formation process of extreme geometric features in additive manufacturing.

Indexed as

3d printingadditive manufacturinglook-ahead compensationsech function

Identifiers

PMID42076200
PMCPMC13118581

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.