Evidence map›Paper›PMID 42655239›Full record

ArticlePolymers2026

Multi-Objective Optimization of FDM Dimensional Accuracy for PLA/TPU Blends Based on Entropy Weight-TOPSIS and Orthogonal Array Design.

Pei Li, Tianlu Wei, Li Yang, Jing Zhao, Shuo Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Polymers, 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

5 authors.

Pei LiSchool of Mechanical and Vehicle Engineering, Bengbu University, Bengbu 233000, China.
Tianlu WeiSchool of Mechanical and Vehicle Engineering, Bengbu University, Bengbu 233000, China.
Li YangSchool of Mechanical and Vehicle Engineering, Bengbu University, Bengbu 233000, China.ORCID 0009-0000-6793-7840
Jing ZhaoSchool of Mechanical and Vehicle Engineering, Bengbu University, Bengbu 233000, China.ORCID 0009-0003-7654-3124
Shuo WangSchool of Mechanical and Vehicle Engineering, Bengbu University, Bengbu 233000, China.

Funding

Bengbu University 2023ZR05zdBengbu University Grant No. 2024YYX01QD
6 · The paper itself

Abstract

Fused deposition modeling (FDM) of polylactic acid (PLA) is plagued by dimensional inaccuracies-thermal shrinkage, warpage, and geometric distortion-that restrict its application in high-precision manufacturing. Blending thermoplastic polyurethane (TPU) with PLA enhances toughness, yet the coupled effects of blend ratio and printing parameters on dimensional accuracy remain unclear. This study establishes a multi-objective optimization framework integrating single-factor experiments, orthogonal design, ANOVA, and entropy weight-TOPSIS. Single-factor experiments combined with TOPSIS first identify the optimal PLA/TPU blend ratio, and orthogonal experiments are subsequently conducted on this optimal ratio to determine the best parameter combination. The 70:30 PLA/TPU blend delivers the optimal comprehensive performance (TOPSIS closeness: 0.680), attributed to favorable phase compatibility and robust interfacial adhesion as verified by XRD and SEM. Range analysis and ANOVA on the orthogonal results identify infill rate and layer height as the dominant factors governing dimensional accuracy (

Indexed as

dimensional accuracyentropy weight–TOPSISfused deposition modelingmulti-objective optimizationPLA/TPU polymer blendsprocess–structure–property relationship

Identifiers

PMID42655239
PMCPMC13516074

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.