Evidence map›Paper›PMID 41094999›Full record

ArticleSensors (Basel, Switzerland)2025

Design and Evaluation Method of a High-Overload Test Device Based on AD-TRIZ.

Peiyi Zhou, Lei Zhao, Weige Liang, Yang Zhao, Chi Li, Fangyin Tan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

6 authors.

Peiyi ZhouNaval University of Engineering, Wuhan 430033, China.ORCID 0009-0007-3512-431X
Lei ZhaoNaval University of Engineering, Wuhan 430033, China.ORCID 0000-0001-5067-460X
Weige LiangNaval University of Engineering, Wuhan 430033, China.
Yang ZhaoNaval University of Engineering, Wuhan 430033, China.
Chi LiNaval University of Engineering, Wuhan 430033, China.ORCID 0009-0001-1013-0568
Fangyin TanNaval University of Engineering, Wuhan 430033, China.

Funding

Natural Science Foundation of Hubei Province 2023AFB900
6 · The paper itself

Abstract

High-overload testing equipment is a key platform for evaluating mechanical performance under extreme conditions, requiring specialized functional design to meet stringent operational demands. The current design process faces numerous challenges, including overreliance on designers' experience, incomplete requirement analysis, and insufficient automation, resulting in suboptimal solutions. To address these issues, in this study, we propose an integrated method based on axiomatic design (AD) and the Theory of Inventive Problem Solving (TRIZ). This method systematically decomposes technical specifications, maps requirements to a structural framework, and resolves design conflicts using inventive principles. The method employs a comprehensive evaluation framework combining the analytic hierarchy process (AHP) and quality function deployment (QFD) to quantitatively assess candidate designs. It facilitates the development of efficient, standardized high-load testing equipment solutions, enhancing design reliability and innovation capabilities.

Indexed as

axiomatic designhigh overloadinnovative problem theorytest

Identifiers

PMID41094999
PMCPMC12527040

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.