Haoyu Tian , Biao Mei , Yun Fu , Yongtai Yang , Weidong Zhu
{"title":"航空发动机机舱声学衬套多轴钻进单元的性能优化设计","authors":"Haoyu Tian , Biao Mei , Yun Fu , Yongtai Yang , Weidong Zhu","doi":"10.1016/j.jmapro.2025.06.107","DOIUrl":null,"url":null,"abstract":"<div><div>Laying acoustic liners is one of the most effective ways to reduce aero-engine noise. Traditional single-spindle drilling systems are inadequate for high-quality and efficient drilling for large-scale sound-absorbing holes on acoustic liners. Therefore, this paper develops a robotic multi-spindle drilling cell (RMDCell) that integrates a multi-spindle drilling end-effector, a standard industrial robot, and a rotatable clamping fixture. A robot performance-oriented layout optimization method is studied for the RMDCell to improve the drilling quality of acoustic liners in aero-engine nacelles. Firstly, a weighted comprehensive performance model of the multi-spindle drilling robot is built, integrating joint limit avoidance, singularity avoidance, and robot stiffness performances. Thereinto, a new robot stiffness performance index is introduced, and a variable robot stiffness weight is derived considering the end-effector's spindle configuration. Secondly, a dimensionality reduction method of layout optimization parameters and a drilling zone division method are proposed for the RMDCell of nacelle acoustic liners. A bi-level optimization algorithm for RMDCell layout parameters is developed. The algorithm fuses particle swarm optimization (PSO) and deep hierarchical feature learning on point sets in a metric space (PointNet++). Finally, drilling experiments are conducted based on the developed RMDCell. The results show that the comprehensive robot performance index is reduced by 39.8 % after optimization compared to the comprehensive robot performance before layout optimization. The layout optimization method effectively reduces defects such as burrs, delamination, and tearing in composite sound-absorbing holes. The average delamination factor decreases by 16.5 %. The robot performance-oriented layout optimization significantly improves the drilling quality, which meets the manufacturing quality requirements of the acoustic liner of an aero-engine nacelle.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"150 ","pages":"Pages 1080-1096"},"PeriodicalIF":6.8000,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance-oriented layout optimization of a multi-spindle drilling cell for acoustic liners in aero-engine nacelles\",\"authors\":\"Haoyu Tian , Biao Mei , Yun Fu , Yongtai Yang , Weidong Zhu\",\"doi\":\"10.1016/j.jmapro.2025.06.107\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Laying acoustic liners is one of the most effective ways to reduce aero-engine noise. Traditional single-spindle drilling systems are inadequate for high-quality and efficient drilling for large-scale sound-absorbing holes on acoustic liners. Therefore, this paper develops a robotic multi-spindle drilling cell (RMDCell) that integrates a multi-spindle drilling end-effector, a standard industrial robot, and a rotatable clamping fixture. A robot performance-oriented layout optimization method is studied for the RMDCell to improve the drilling quality of acoustic liners in aero-engine nacelles. Firstly, a weighted comprehensive performance model of the multi-spindle drilling robot is built, integrating joint limit avoidance, singularity avoidance, and robot stiffness performances. Thereinto, a new robot stiffness performance index is introduced, and a variable robot stiffness weight is derived considering the end-effector's spindle configuration. Secondly, a dimensionality reduction method of layout optimization parameters and a drilling zone division method are proposed for the RMDCell of nacelle acoustic liners. A bi-level optimization algorithm for RMDCell layout parameters is developed. The algorithm fuses particle swarm optimization (PSO) and deep hierarchical feature learning on point sets in a metric space (PointNet++). Finally, drilling experiments are conducted based on the developed RMDCell. The results show that the comprehensive robot performance index is reduced by 39.8 % after optimization compared to the comprehensive robot performance before layout optimization. The layout optimization method effectively reduces defects such as burrs, delamination, and tearing in composite sound-absorbing holes. The average delamination factor decreases by 16.5 %. The robot performance-oriented layout optimization significantly improves the drilling quality, which meets the manufacturing quality requirements of the acoustic liner of an aero-engine nacelle.</div></div>\",\"PeriodicalId\":16148,\"journal\":{\"name\":\"Journal of Manufacturing Processes\",\"volume\":\"150 \",\"pages\":\"Pages 1080-1096\"},\"PeriodicalIF\":6.8000,\"publicationDate\":\"2025-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Manufacturing Processes\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1526612525007613\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MANUFACTURING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Manufacturing Processes","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1526612525007613","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
Performance-oriented layout optimization of a multi-spindle drilling cell for acoustic liners in aero-engine nacelles
Laying acoustic liners is one of the most effective ways to reduce aero-engine noise. Traditional single-spindle drilling systems are inadequate for high-quality and efficient drilling for large-scale sound-absorbing holes on acoustic liners. Therefore, this paper develops a robotic multi-spindle drilling cell (RMDCell) that integrates a multi-spindle drilling end-effector, a standard industrial robot, and a rotatable clamping fixture. A robot performance-oriented layout optimization method is studied for the RMDCell to improve the drilling quality of acoustic liners in aero-engine nacelles. Firstly, a weighted comprehensive performance model of the multi-spindle drilling robot is built, integrating joint limit avoidance, singularity avoidance, and robot stiffness performances. Thereinto, a new robot stiffness performance index is introduced, and a variable robot stiffness weight is derived considering the end-effector's spindle configuration. Secondly, a dimensionality reduction method of layout optimization parameters and a drilling zone division method are proposed for the RMDCell of nacelle acoustic liners. A bi-level optimization algorithm for RMDCell layout parameters is developed. The algorithm fuses particle swarm optimization (PSO) and deep hierarchical feature learning on point sets in a metric space (PointNet++). Finally, drilling experiments are conducted based on the developed RMDCell. The results show that the comprehensive robot performance index is reduced by 39.8 % after optimization compared to the comprehensive robot performance before layout optimization. The layout optimization method effectively reduces defects such as burrs, delamination, and tearing in composite sound-absorbing holes. The average delamination factor decreases by 16.5 %. The robot performance-oriented layout optimization significantly improves the drilling quality, which meets the manufacturing quality requirements of the acoustic liner of an aero-engine nacelle.
期刊介绍:
The aim of the Journal of Manufacturing Processes (JMP) is to exchange current and future directions of manufacturing processes research, development and implementation, and to publish archival scholarly literature with a view to advancing state-of-the-art manufacturing processes and encouraging innovation for developing new and efficient processes. The journal will also publish from other research communities for rapid communication of innovative new concepts. Special-topic issues on emerging technologies and invited papers will also be published.