{"title":"Optimization of process parameters for TC11 alloy via tailoring scanning strategy in laser powder bed fusion","authors":"Chang Shu, Zhiyu Zheng, Peiran Lei, Haijie Xu, Xuedao Shu, Khamis Essa","doi":"10.1007/s11706-024-0710-z","DOIUrl":null,"url":null,"abstract":"<div><p>TC11, with a nominal composition of Ti–6.5Al–3.5Mo–1.5Zr–0.3Si, is the preferred material for engine blisk due to its high-performance dual-phase titanium alloy, effectively enhancing engine aerodynamic efficiency and service reliability. However, in laser powder bed fusion (L-PBF) of TC11, challenges such as inadequate defect control, inconsistent part quality, and limited optimization of key processing parameters hinder the process reliability and scalability. In this study, computational fluid dynamics (CFD) was used to simulate the L-PBF process, while design of experiments (DoE) was applied to analyze the effect of process parameters and determine the optimal process settings. Laser power was found to have the greatest impact on porosity. The optimal process parameters are 170 W laser power, 1100 mm·s<sup>−1</sup> scanning speed, and 0.1 mm hatch spacing. Stripe, line, and chessboard scanning strategies were implemented using the optimal process parameters. The stripe scanning strategy has ∼33% (∼400 MPa) greater tensile strength over the line scanning strategy and ∼12% (∼170 MPa) over the chessboard scanning strategy. This research provides technical support for obtaining high-performance TC11 blisks.</p></div>","PeriodicalId":572,"journal":{"name":"Frontiers of Materials Science","volume":"18 4","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers of Materials Science","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s11706-024-0710-z","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
Abstract
TC11, with a nominal composition of Ti–6.5Al–3.5Mo–1.5Zr–0.3Si, is the preferred material for engine blisk due to its high-performance dual-phase titanium alloy, effectively enhancing engine aerodynamic efficiency and service reliability. However, in laser powder bed fusion (L-PBF) of TC11, challenges such as inadequate defect control, inconsistent part quality, and limited optimization of key processing parameters hinder the process reliability and scalability. In this study, computational fluid dynamics (CFD) was used to simulate the L-PBF process, while design of experiments (DoE) was applied to analyze the effect of process parameters and determine the optimal process settings. Laser power was found to have the greatest impact on porosity. The optimal process parameters are 170 W laser power, 1100 mm·s−1 scanning speed, and 0.1 mm hatch spacing. Stripe, line, and chessboard scanning strategies were implemented using the optimal process parameters. The stripe scanning strategy has ∼33% (∼400 MPa) greater tensile strength over the line scanning strategy and ∼12% (∼170 MPa) over the chessboard scanning strategy. This research provides technical support for obtaining high-performance TC11 blisks.
期刊介绍:
Frontiers of Materials Science is a peer-reviewed international journal that publishes high quality reviews/mini-reviews, full-length research papers, and short Communications recording the latest pioneering studies on all aspects of materials science. It aims at providing a forum to promote communication and exchange between scientists in the worldwide materials science community.
The subjects are seen from international and interdisciplinary perspectives covering areas including (but not limited to):
Biomaterials including biomimetics and biomineralization;
Nano materials;
Polymers and composites;
New metallic materials;
Advanced ceramics;
Materials modeling and computation;
Frontier materials synthesis and characterization;
Novel methods for materials manufacturing;
Materials performance;
Materials applications in energy, information and biotechnology.