Evidence map›Paper›PMID 42676806›Full record

ArticleFrontiers in plant science2026

Mechanism-constrained D-optimal design of a flexible claw for peanut shelling under biological variability.

Yuxuan Tuo, Yukun Pang, Xiwei Zhao, Mantuo Li, Yueshan Zhang, Zhiheng Yu, Tianwei Liang, Pengrui Zheng, Zhuoran Chen, Qiwen Sun and 2 more

Abstract read
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In one paragraph

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

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

What it found

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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

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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

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5 · Who and what money

Authors and funding

12 authors.

Yuxuan TuoSchool of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng, China.
Yukun PangSchool of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng, China.
Xiwei ZhaoSchool of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng, China.
Mantuo LiSchool of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng, China.
Yueshan ZhangSchool of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng, China.
Zhiheng YuSchool of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng, China.
Tianwei LiangSchool of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng, China.
Pengrui ZhengSchool of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng, China.
Zhuoran ChenSchool of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng, China.
Qiwen SunSchool of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng, China.
Xuebin BaiSchool of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng, China.
Ying ZhaoSchool of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Experimental optimization of seed-peanut shelling mechanisms is limited by the low signal-to-noise ratio of biological materials, because variations in pod size, shell thickness, shell-kernel clearance, and rupture behavior can mask the effects of claw geometry. This study proposes a flexible peanut shelling claw and a mechanism-constrained D-optimal response surface optimization (MC-DORSO) framework to reduce biological-variability-induced noise while lowering shelling force and kernel damage. Methods: A Hertzian-curved beam coupling model was used to guide the stress-concentration claw design. MC-DORSO combined mechanical feasibility filtering, D-optimal sampling, mean-normalized response modeling, and mixed discrete-continuous optimization. The relative shelling efficiency index Results: The optimized parameters were Discussion: The proposed MC-DORSO-based claw design reduces the load required for single-pod shell rupture while improving kernel preservation, providing a scalable optimization approach for low-damage seed-peanut shelling.

Indexed as

Hertzian-curved beam couplingkernel damagelow signal-to-noise ratioMC-DORSOmean-normalized responseseed peanutstress-concentration claw

Identifiers

PMID42676806
PMCPMC13527014

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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.