Qiwen Zhou , Bin Liu , Mu Li , Jie Gao , Rui Zhu , Tao Kong , Yungang Zhang
{"title":"基于非视域镜像映射的高温锻件径向截面形态重建方法","authors":"Qiwen Zhou , Bin Liu , Mu Li , Jie Gao , Rui Zhu , Tao Kong , Yungang Zhang","doi":"10.1016/j.measurement.2025.117041","DOIUrl":null,"url":null,"abstract":"<div><div>In forging process, reconstructing the radial section morphology (RSM) of high-temperature forgings is essential to ensuring their quality. However, it is usually achieved by introducing multiple devices or rotating forgings, making measurements complicated and inaccurate. To address these problems, we propose a method for reconstructing the radial section morphology of forgings by combining point clouds collected from the direct-view domain and non-view domain. Firstly, the point clouds are captured by one laser scanner combined with mirror mapping. We introduce statistical filtering and regression analysis that enable removal of discrete points and outlier clusters. Next, the cubic B-spline interpolation filtering algorithm is used to fill in missing data. Our experiments demonstrate accurate reconstruction of RSM of ring forgings having diameters of 299.2 mm with an error of less than 1.5 mm. We also demonstrate the feasibility for reconstructing the profile of non-circular forgings.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"250 ","pages":"Article 117041"},"PeriodicalIF":5.2000,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A radial section morphology reconstruction method for high-temperature forgings based on mirror mapping of non-view domain\",\"authors\":\"Qiwen Zhou , Bin Liu , Mu Li , Jie Gao , Rui Zhu , Tao Kong , Yungang Zhang\",\"doi\":\"10.1016/j.measurement.2025.117041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In forging process, reconstructing the radial section morphology (RSM) of high-temperature forgings is essential to ensuring their quality. However, it is usually achieved by introducing multiple devices or rotating forgings, making measurements complicated and inaccurate. To address these problems, we propose a method for reconstructing the radial section morphology of forgings by combining point clouds collected from the direct-view domain and non-view domain. Firstly, the point clouds are captured by one laser scanner combined with mirror mapping. We introduce statistical filtering and regression analysis that enable removal of discrete points and outlier clusters. Next, the cubic B-spline interpolation filtering algorithm is used to fill in missing data. Our experiments demonstrate accurate reconstruction of RSM of ring forgings having diameters of 299.2 mm with an error of less than 1.5 mm. We also demonstrate the feasibility for reconstructing the profile of non-circular forgings.</div></div>\",\"PeriodicalId\":18349,\"journal\":{\"name\":\"Measurement\",\"volume\":\"250 \",\"pages\":\"Article 117041\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2025-02-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Measurement\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0263224125004002\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224125004002","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
A radial section morphology reconstruction method for high-temperature forgings based on mirror mapping of non-view domain
In forging process, reconstructing the radial section morphology (RSM) of high-temperature forgings is essential to ensuring their quality. However, it is usually achieved by introducing multiple devices or rotating forgings, making measurements complicated and inaccurate. To address these problems, we propose a method for reconstructing the radial section morphology of forgings by combining point clouds collected from the direct-view domain and non-view domain. Firstly, the point clouds are captured by one laser scanner combined with mirror mapping. We introduce statistical filtering and regression analysis that enable removal of discrete points and outlier clusters. Next, the cubic B-spline interpolation filtering algorithm is used to fill in missing data. Our experiments demonstrate accurate reconstruction of RSM of ring forgings having diameters of 299.2 mm with an error of less than 1.5 mm. We also demonstrate the feasibility for reconstructing the profile of non-circular forgings.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.