{"title":"基于灰色系统理论和遗传算法的耐腐蚀磨损双金属复合管道内层的组成设计与实验研究","authors":"Jianwei Dong, Zheng Zhang, Deguo Wang, Yuxi Wu, Yuming Liu, Yanbao Guo","doi":"10.1007/s11665-024-09988-1","DOIUrl":null,"url":null,"abstract":"<p>A multi-factor gray model of hardness and modulus about the content of Ti, Fe, Ni and Cu metal powder in the inner layer of bimetal composite pipe was established, and the proportion of each component was optimized by genetic algorithm. The inner layer with a certain thickness was prepared by high frequency induction heating and powder spraying technology, its hardness and modulus were tested, and compared with the theoretical calculation value, the erosion wear test was carried out. The results indicate that the prepared inner layer is in an amorphous state, exhibiting high hardness and toughness. The gray model can accurately establish the relationship between the hardness and modulus of the inner layer with the component content, and the average error is not exceeding 2%. The inner layer prepared with the optimized raw material ratio demonstrates high erosion wear resistance at different impact angles and temperatures, the damage type is micro-cutting. Compared with the base pipe, the erosion rate is reduced by at least 27%.</p>","PeriodicalId":644,"journal":{"name":"Journal of Materials Engineering and Performance","volume":"38 1","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Composition Design and Experimental Study of Erosion Wear Resistant Bimetal Composite Pipe Inner Layer Based on Gray System Theory and Genetic Algorithm\",\"authors\":\"Jianwei Dong, Zheng Zhang, Deguo Wang, Yuxi Wu, Yuming Liu, Yanbao Guo\",\"doi\":\"10.1007/s11665-024-09988-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>A multi-factor gray model of hardness and modulus about the content of Ti, Fe, Ni and Cu metal powder in the inner layer of bimetal composite pipe was established, and the proportion of each component was optimized by genetic algorithm. The inner layer with a certain thickness was prepared by high frequency induction heating and powder spraying technology, its hardness and modulus were tested, and compared with the theoretical calculation value, the erosion wear test was carried out. The results indicate that the prepared inner layer is in an amorphous state, exhibiting high hardness and toughness. The gray model can accurately establish the relationship between the hardness and modulus of the inner layer with the component content, and the average error is not exceeding 2%. The inner layer prepared with the optimized raw material ratio demonstrates high erosion wear resistance at different impact angles and temperatures, the damage type is micro-cutting. Compared with the base pipe, the erosion rate is reduced by at least 27%.</p>\",\"PeriodicalId\":644,\"journal\":{\"name\":\"Journal of Materials Engineering and Performance\",\"volume\":\"38 1\",\"pages\":\"\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Materials Engineering and Performance\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1007/s11665-024-09988-1\",\"RegionNum\":4,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Materials Engineering and Performance","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1007/s11665-024-09988-1","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
建立了双金属复合管内层 Ti、Fe、Ni 和 Cu 金属粉末含量的硬度和模量多因素灰色模型,并通过遗传算法对各组分的比例进行了优化。通过高频感应加热和粉末喷涂技术制备了一定厚度的内层,测试了其硬度和模量,并与理论计算值进行了对比,同时进行了侵蚀磨损试验。结果表明,制备的内层处于非晶态,具有较高的硬度和韧性。灰色模型能准确建立内层硬度和模量与组分含量的关系,平均误差不超过 2%。用优化的原材料配比制备的内层在不同的冲击角度和温度下都表现出较高的耐侵蚀磨损性,损伤类型为微切削。与基管相比,侵蚀率至少降低了 27%。
Composition Design and Experimental Study of Erosion Wear Resistant Bimetal Composite Pipe Inner Layer Based on Gray System Theory and Genetic Algorithm
A multi-factor gray model of hardness and modulus about the content of Ti, Fe, Ni and Cu metal powder in the inner layer of bimetal composite pipe was established, and the proportion of each component was optimized by genetic algorithm. The inner layer with a certain thickness was prepared by high frequency induction heating and powder spraying technology, its hardness and modulus were tested, and compared with the theoretical calculation value, the erosion wear test was carried out. The results indicate that the prepared inner layer is in an amorphous state, exhibiting high hardness and toughness. The gray model can accurately establish the relationship between the hardness and modulus of the inner layer with the component content, and the average error is not exceeding 2%. The inner layer prepared with the optimized raw material ratio demonstrates high erosion wear resistance at different impact angles and temperatures, the damage type is micro-cutting. Compared with the base pipe, the erosion rate is reduced by at least 27%.
期刊介绍:
ASM International''s Journal of Materials Engineering and Performance focuses on solving day-to-day engineering challenges, particularly those involving components for larger systems. The journal presents a clear understanding of relationships between materials selection, processing, applications and performance.
The Journal of Materials Engineering covers all aspects of materials selection, design, processing, characterization and evaluation, including how to improve materials properties through processes and process control of casting, forming, heat treating, surface modification and coating, and fabrication.
Testing and characterization (including mechanical and physical tests, NDE, metallography, failure analysis, corrosion resistance, chemical analysis, surface characterization, and microanalysis of surfaces, features and fractures), and industrial performance measurement are also covered