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Multi-parameter dimensionality reduction quantitative characterization and ultrasonic evaluation of GH738 grain morphology
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Xin GONG1, Jie CHEN2, Xi CHEN1, Guanhua WU1
Journal of Materials Engineering | 2025, 53(12) : 208 - 219
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Journal of Materials Engineering | 2025, 53(12): 208-219
• RESEARCH ARTICLE •
Multi-parameter dimensionality reduction quantitative characterization and ultrasonic evaluation of GH738 grain morphology
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Xin GONG1, Jie CHEN2, Xi CHEN1, Guanhua WU1
Affiliations
  • 1.Key Laboratory of Nondestructive Test of Ministry of Education,Nanchang Hangkong University,Nanchang ;330063,China
  • 2.Special Equipment Inspection and Testing Research Institute,Jiangxi General Institute of Testing and Certifcation,Nanchang 330052,China
Published: 2025-12-20 doi: 10.11868/j.issn.1001-4381.2024.000621
Outline
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To characterize the grain morphology from multiple apsects such as size, shape and distribution, and then realize the quantitative ultrasonic evaluation of the uniformity of grain morphology, an ultrasonic multi-parameter evaluation method for grain morphology is proposed. GH738 grain morphology is used as the characterization object, and 10 quantitative parameters are extracted with the grain as the measurement unit. Eight quantitative parameters are measured for the field-of-view image. The correlation screening rule using pearson coefficient is established, then seven metallographic quantitative parameters are selected, the radial layout visualization star coordinate method is used to calculate two parameters, r and θ, which are used to comprehensively characterize grain morphology. Six ultrasonic parameters, such as sound velocity and attenuation coefficient, are extracted, and a sample library of two-dimensional comprehensive characterization parameters of grain morphology and ultrasonic multi-characteristic parameters is established. Three ultrasonic evaluation model based on MLR, RFR or PSO-SVM algorithm are built to characterize the two comprehensive parameters of grain. The verification experimental results show that the multi-dimensional comprehensive characterization of grain morphology is feasible.The ultrasonic evaluation model based on MLR has a higher accuracy and more balanced evaluation for two parameters.

grain morphology  /  comprehensive quantitative characterization  /  correlation screening  /  visual dimensionality reduction  /  multi-parameter evaluation of ultrasound  /  MLR
龚欣, 陈杰, 陈曦, 邬冠华. GH738晶粒形貌的多参数降维定量表征与超声评价. 材料工程, 2025 , 53 (12) : 208 -219 . DOI: 10.11868/j.issn.1001-4381.2024.000621
Xin GONG, Jie CHEN, Xi CHEN, Guanhua WU. Multi-parameter dimensionality reduction quantitative characterization and ultrasonic evaluation of GH738 grain morphology[J]. Journal of Materials Engineering, 2025 , 53 (12) : 208 -219 . DOI: 10.11868/j.issn.1001-4381.2024.000621
Year 2025 volume 53 Issue 12
46
20
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Article Info
doi: 10.11868/j.issn.1001-4381.2024.000621
  • Receive Date:2024-09-05
  • Online Date:2026-10-26
  • Published:2025-12-20
Article Data
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History
  • Received:2024-09-05
  • Accepted:2024-12-04
Funding
Affiliations
    1.Key Laboratory of Nondestructive Test of Ministry of Education,Nanchang Hangkong University,Nanchang ;330063,China
    2.Special Equipment Inspection and Testing Research Institute,Jiangxi General Institute of Testing and Certifcation,Nanchang 330052,China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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