Polarization scattering-based detection of lubricating materials Article Swipe
Xin Liu
,
J.K. Jian
,
Xiaolu Huang
,
Huilong Li
,
Yuan Tian
,
Weizhi Ma
,
Xiaolong Zhao
,
Zhaowei Liu
,
Jiayi Sun
,
Xiushuo Zhang
,
Yong Wang
,
Xiaomei Zhu
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fmats.2025.1596327
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fmats.2025.1596327
Friction, wear, and corrosion are common phenomena in both industrial and daily life, significantly impacting the performance, lifespan, and energy efficiency of equipment. To mitigate these adverse effects, current research primarily focuses on the development of novel materials, surface modification techniques, and lubricating coatings. Accurate detection and evaluation are crucial for understanding material behavior under varying conditions, which not only aids in optimizing material design but also enables timely identification and repair of potential issues, thereby extending equipment lifespan and enhancing reliability. Addressing the limitations of existing detection methods in real-time monitoring and micro-defect detection, this study proposes a polarization-based detection method to more accurately assess and optimize the friction, wear, and corrosion properties of materials. This method leverages the polarization characteristics of light to investigate the optical properties and microstructures of materials, offering advantages such as high data dimensionality, sensitivity to microstructural changes, and compatibility with existing optical techniques. We constructed a polarization detection system and employed data analysis methods, such as linear discriminant analysis, to study various samples. By using this system, we extracted specific parameters sensitive to different characteristic variables, enabling us to more accurately characterize the lubrication performance of materials and providing valuable insights for material optimization. The proposed polarization-based detection method offers a new approach for evaluating the friction, wear, and corrosion properties of materials, demonstrating potential for real-time monitoring and micro-defect detection, and is expected to enhance equipment lifespan and reliability.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fmats.2025.1596327
- OA Status
- gold
- References
- 23
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- 10
- OpenAlex ID
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https://openalex.org/W4409958132Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fmats.2025.1596327Digital Object Identifier
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Polarization scattering-based detection of lubricating materialsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-04-29Full publication date if available
- Authors
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Xin Liu, J.K. Jian, Xiaolu Huang, Huilong Li, Yuan Tian, Weizhi Ma, Xiaolong Zhao, Zhaowei Liu, Jiayi Sun, Xiushuo Zhang, Yong Wang, Xiaomei ZhuList of authors in order
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https://doi.org/10.3389/fmats.2025.1596327Publisher landing page
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YesWhether a free full text is available
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-
goldOpen access status per OpenAlex
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https://doi.org/10.3389/fmats.2025.1596327Direct OA link when available
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Materials science, Polarization (electrochemistry), Scattering, Optics, Nanotechnology, Chemistry, Physics, Physical chemistryTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.behavior | 53 |
| abstract_inverted_index.changes, | 143 |
| abstract_inverted_index.effects, | 27 |
| abstract_inverted_index.employed | 157 |
| abstract_inverted_index.enabling | 183 |
| abstract_inverted_index.existing | 86, 147 |
| abstract_inverted_index.expected | 230 |
| abstract_inverted_index.insights | 197 |
| abstract_inverted_index.lifespan | 78, 234 |
| abstract_inverted_index.material | 52, 63, 199 |
| abstract_inverted_index.methods, | 160 |
| abstract_inverted_index.mitigate | 24 |
| abstract_inverted_index.offering | 133 |
| abstract_inverted_index.optimize | 107 |
| abstract_inverted_index.proposed | 202 |
| abstract_inverted_index.proposes | 97 |
| abstract_inverted_index.research | 29 |
| abstract_inverted_index.samples. | 169 |
| abstract_inverted_index.specific | 176 |
| abstract_inverted_index.valuable | 196 |
| abstract_inverted_index.Friction, | 0 |
| abstract_inverted_index.analysis, | 165 |
| abstract_inverted_index.coatings. | 43 |
| abstract_inverted_index.corrosion | 3, 112, 216 |
| abstract_inverted_index.detection | 45, 87, 100, 154, 204 |
| abstract_inverted_index.different | 180 |
| abstract_inverted_index.enhancing | 80 |
| abstract_inverted_index.equipment | 77, 233 |
| abstract_inverted_index.extending | 76 |
| abstract_inverted_index.extracted | 175 |
| abstract_inverted_index.friction, | 109, 213 |
| abstract_inverted_index.impacting | 14 |
| abstract_inverted_index.leverages | 118 |
| abstract_inverted_index.lifespan, | 17 |
| abstract_inverted_index.materials | 193 |
| abstract_inverted_index.phenomena | 6 |
| abstract_inverted_index.potential | 73, 221 |
| abstract_inverted_index.primarily | 30 |
| abstract_inverted_index.providing | 195 |
| abstract_inverted_index.real-time | 90, 223 |
| abstract_inverted_index.sensitive | 178 |
| abstract_inverted_index.Addressing | 82 |
| abstract_inverted_index.accurately | 104, 187 |
| abstract_inverted_index.advantages | 134 |
| abstract_inverted_index.detection, | 94, 227 |
| abstract_inverted_index.efficiency | 20 |
| abstract_inverted_index.equipment. | 22 |
| abstract_inverted_index.evaluating | 211 |
| abstract_inverted_index.evaluation | 47 |
| abstract_inverted_index.industrial | 9 |
| abstract_inverted_index.materials, | 37, 132, 219 |
| abstract_inverted_index.materials. | 115 |
| abstract_inverted_index.monitoring | 91, 224 |
| abstract_inverted_index.optimizing | 62 |
| abstract_inverted_index.parameters | 177 |
| abstract_inverted_index.properties | 113, 128, 217 |
| abstract_inverted_index.variables, | 182 |
| abstract_inverted_index.conditions, | 56 |
| abstract_inverted_index.constructed | 151 |
| abstract_inverted_index.development | 34 |
| abstract_inverted_index.investigate | 125 |
| abstract_inverted_index.limitations | 84 |
| abstract_inverted_index.lubricating | 42 |
| abstract_inverted_index.lubrication | 190 |
| abstract_inverted_index.performance | 191 |
| abstract_inverted_index.sensitivity | 140 |
| abstract_inverted_index.techniques, | 40 |
| abstract_inverted_index.techniques. | 149 |
| abstract_inverted_index.characterize | 188 |
| abstract_inverted_index.discriminant | 164 |
| abstract_inverted_index.micro-defect | 93, 226 |
| abstract_inverted_index.modification | 39 |
| abstract_inverted_index.performance, | 16 |
| abstract_inverted_index.polarization | 120, 153 |
| abstract_inverted_index.reliability. | 81, 236 |
| abstract_inverted_index.compatibility | 145 |
| abstract_inverted_index.demonstrating | 220 |
| abstract_inverted_index.optimization. | 200 |
| abstract_inverted_index.significantly | 13 |
| abstract_inverted_index.understanding | 51 |
| abstract_inverted_index.characteristic | 181 |
| abstract_inverted_index.identification | 69 |
| abstract_inverted_index.characteristics | 121 |
| abstract_inverted_index.dimensionality, | 139 |
| abstract_inverted_index.microstructural | 142 |
| abstract_inverted_index.microstructures | 130 |
| abstract_inverted_index.polarization-based | 99, 203 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 12 |
| citation_normalized_percentile.value | 0.15198056 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |