Evidence map›Paper›PMID 42513885›Full record

ArticleMaterials (Basel, Switzerland)2026

Cross-Scale Correlation Analysis Between Forming Quality and Microstructural Response During SPIF of the Al 1060 Based on PEEQ-Based SSD Density Inference and EBSD Characterization.

Xinyue Zhang, Xiaojing Zhu, Yuhuai Wang, Yaokun Ye, Mingyan Zhao, Teng Zhou, Wenxun Li

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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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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.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xinyue ZhangSchool of Mechanical & Electrical Engineering, China Jiliang University, Hangzhou 310018, China.
Xiaojing ZhuSchool of Mechanical & Electrical Engineering, China Jiliang University, Hangzhou 310018, China.ORCID 0000-0002-7348-1082
Yuhuai WangSchool of Engineering, Hangzhou Normal University, Hangzhou 310018, China.ORCID 0000-0002-6376-8231
Yaokun YeSinofork Equipment Company Ltd., Huzhou 313300, China.ORCID 0009-0006-8068-1433
Mingyan ZhaoSchool of Mechanical & Electrical Engineering, China Jiliang University, Hangzhou 310018, China.
Teng ZhouSchool of Mechanical & Electrical Engineering, China Jiliang University, Hangzhou 310018, China.
Wenxun LiSchool of Mechanical & Electrical Engineering, China Jiliang University, Hangzhou 310018, China.

Funding

Zhejiang Provincial Natural Science Foundation LMS26E050039
6 · The paper itself

Abstract

Single-point incremental forming (SPIF) produces localized plastic deformation, resulting in thickness reduction, geometrical deviation, and microstructural evolution. To establish the relationship between forming quality and microstructural response, this study develops a cross-scale analysis framework integrating finite element simulation, Kocks-Mecking (K-M)-based statistically stored dislocation (SSD) density inference, metallographic observation and electron backscatter diffraction (EBSD) characterization. Applied to an Al 1060 truncated-cone part, the framework converts the simulated equivalent plastic strain (PEEQ) into SSD density via the K-M model calibrated using the Voce hardening model and the Taylor relation. The inferred SSD density distribution is then spatially correlated with thinning rate, geometrical deviation, grain size, grain-boundary misorientation, kernel average misorientation (KAM), and geometrically necessary dislocation (GND) density across different forming regions. The inferred SSD density rapidly approached a saturation level of 1.55 × 10

Indexed as

EBSDforming qualityKocks–Mecking modelmacro–micro correlationSPIFstatistically stored dislocation

Identifiers

PMID42513885
PMCPMC13413633

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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.