Evidence map›Paper›PMID 41932915›Full record

ArticleNature communications2026

4D injection molding.

Jian Wang, Kaihuang Zheng, Tao Liu, Hao Liu, Hongdao Cui, Hang Li, Yucan Liang, Shaotong Zhou, Fuhai Li, Da Wang and 8 more

Abstract read
In one paragraph

Article in Nature communications, 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
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

18 authors.

Jian WangState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, China. wjj_0107@163.com.ORCID http://orcid.org/0000-0001-7187-1629
Kaihuang Zheng *State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, China.
Tao Liu *State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, China.
Hao LiuState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, China.
Hongdao CuiState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, China.
Hang LiState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, China.
Yucan LiangState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, China.
Shaotong ZhouState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, China.
Fuhai LiState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, China.
Da WangState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, China.
Chunfeng FanState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, China.
Jin ShangState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, China.
Qichao HeState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, China.
Yue ChengState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, China.
Bo JiangState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, China.
Jialiang QiState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, China.
Liqiang ChangState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, China.
Wen ShuaiState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 51873021
6 · The paper itself

Abstract

Injection molding is a foundational manufacturing process for the large-scale production of plastic parts and is also applied to rubber, metal, ceramic, glass, wood, and composites. Regular injection molding focuses on minimizing warpage and ensuring dimensional uniformity and high repeatability, as non-uniform material shrinkage in complex mold cavities causes undesirable deformations. In contrast, we reverse this traditional paradigm by leveraging controlled solidification shrinkage to induce purposeful, programmable deformation. We propose 4D injection molding, utilizing localized thermal activation and selective in-mold bonding to create non-uniform temperature and pressure distributions in spatiotemporal dimensions during the molding cycle. This enables the generation of complex, customized geometries from a single mold. Integrated with predictive modeling and multi-objective response optimization, our approach transforms warpage from a defect into a design feature, yielding functional parts with tunable shapes and performance characteristics. This method supports rapid, scalable, and cost-efficient mass customization across various materials. By reimagining shrinkage not as a limitation but as a design opportunity, the method represents a transformative shift in manufacturing science, with promising applications in biomedical, aerospace, and responsive consumer products.

Identifiers

PMID41932915
PMCPMC13219492

What OpenQuestion holds

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Registered trials

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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.