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Analysis of structural parameters of stirred engineered composite robots in high-risk environments.

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Title: Analysis of structural parameters of stirred engineered composite robots in high-risk environments.
Authors: Zhao, Mingwei1,2 (AUTHOR), Cai, Changlong3 (AUTHOR) 879867254@qq.com, Huang, Wenbo2 (AUTHOR), Mu, Longtao4 (AUTHOR), Yan, Lingzhi4 (AUTHOR), Liu, Yonghui4 (AUTHOR), Wang, Jiaming4 (AUTHOR)
Source: Mechanics of Advanced Materials & Structures. 2025, Vol. 32 Issue 10, p2298-2306. 9p.
Subjects: Engineering models, Composite materials, Concrete mixing, Uniformity, Homogeneity
Abstract: Facing the safety of firefighting operators in high-risk environments, this paper investigates a robot for mixing engineering composites, which can automatically monitor the homogeneity of the mixing and, together with an automatic material feeding system, can realize automated production. This Study is based on the numerical simulation method that explored the discrete element model of engineering composites, carried out the multifactorial structural parameter orthogonal simulation experiment of the mixing robot in EDEM software, investigated the effects of different structural parameters on mixing time, mixing uniformity and productivity, proposed a mixing robot concrete uniformity intelligent identification algorithm. [ABSTRACT FROM AUTHOR]
Copyright of Mechanics of Advanced Materials & Structures is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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Header DbId: egs
DbLabel: Engineering Source
An: 185132778
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PubTypeId: academicJournal
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  Data: Analysis of structural parameters of stirred engineered composite robots in high-risk environments.
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  Data: <searchLink fieldCode="JN" term="%22Mechanics+of+Advanced+Materials+%26+Structures%22">Mechanics of Advanced Materials & Structures</searchLink>. 2025, Vol. 32 Issue 10, p2298-2306. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Engineering+models%22">Engineering models</searchLink><br /><searchLink fieldCode="DE" term="%22Composite+materials%22">Composite materials</searchLink><br /><searchLink fieldCode="DE" term="%22Concrete+mixing%22">Concrete mixing</searchLink><br /><searchLink fieldCode="DE" term="%22Uniformity%22">Uniformity</searchLink><br /><searchLink fieldCode="DE" term="%22Homogeneity%22">Homogeneity</searchLink>
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  Label: Abstract
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  Data: Facing the safety of firefighting operators in high-risk environments, this paper investigates a robot for mixing engineering composites, which can automatically monitor the homogeneity of the mixing and, together with an automatic material feeding system, can realize automated production. This Study is based on the numerical simulation method that explored the discrete element model of engineering composites, carried out the multifactorial structural parameter orthogonal simulation experiment of the mixing robot in EDEM software, investigated the effects of different structural parameters on mixing time, mixing uniformity and productivity, proposed a mixing robot concrete uniformity intelligent identification algorithm. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Mechanics of Advanced Materials & Structures is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/15376494.2024.2378235
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        Text: English
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        Type: general
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      – SubjectFull: Concrete mixing
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            NameFull: Liu, Yonghui
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              Text: 2025
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