现场实验和高保真建模工具,促进对金属增材制造的理解

IF 14 1区 工程技术 Q1 ENGINEERING, MANUFACTURING International Journal of Machine Tools & Manufacture Pub Date : 2023-12-01 DOI:10.1016/j.ijmachtools.2023.104077
Lu Wang , Qilin Guo , Lianyi Chen , Wentao Yan
{"title":"现场实验和高保真建模工具,促进对金属增材制造的理解","authors":"Lu Wang ,&nbsp;Qilin Guo ,&nbsp;Lianyi Chen ,&nbsp;Wentao Yan","doi":"10.1016/j.ijmachtools.2023.104077","DOIUrl":null,"url":null,"abstract":"<div><p>Metal additive manufacturing has seen extensive research and rapidly growing applications for its high precision, efficiency, flexibility, etc. However, the appealing advantages are still far from being fully exploited, and the bottleneck problems essentially originate from the incomplete understanding of the complex physical mechanisms spanning from the manufacturing processes, microstructure evolutions, to mechanical properties. Specifically, for powder-fusion-based additive manufacturing such as laser powder bed fusion, the manufacturing process involves powder dynamics, heat transfer, phase transitions (melting, solidification, evaporation, and condensation), fluid flow (gas, vapor, and molten metal liquid), and their interactions. These interactions induce not only various defects but also complex thermal-mechanical-compositional conditions. These transient conditions lead to highly non-equilibrium microstructure evolutions, and the resultant microstructures, together with those defects, can significantly alter the mechanical properties of the as-built parts, including strength, ductility and residual stress. We believe that the most efficient approach to advance the fundamental understanding is integrating <em>in-situ</em> experimentation and high-fidelity modeling. In this review, we summarize the state of the art of these two powerful tools: <em>in-situ</em> synchrotron experimentation and high-fidelity modeling, and provide an outlook for potential research directions.</p></div>","PeriodicalId":14011,"journal":{"name":"International Journal of Machine Tools & Manufacture","volume":"194 ","pages":"Article 104077"},"PeriodicalIF":14.0000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0890695523000858/pdfft?md5=ade9a847d0cb113f4720405c265ab583&pid=1-s2.0-S0890695523000858-main.pdf","citationCount":"0","resultStr":"{\"title\":\"In-situ experimental and high-fidelity modeling tools to advance understanding of metal additive manufacturing\",\"authors\":\"Lu Wang ,&nbsp;Qilin Guo ,&nbsp;Lianyi Chen ,&nbsp;Wentao Yan\",\"doi\":\"10.1016/j.ijmachtools.2023.104077\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Metal additive manufacturing has seen extensive research and rapidly growing applications for its high precision, efficiency, flexibility, etc. However, the appealing advantages are still far from being fully exploited, and the bottleneck problems essentially originate from the incomplete understanding of the complex physical mechanisms spanning from the manufacturing processes, microstructure evolutions, to mechanical properties. Specifically, for powder-fusion-based additive manufacturing such as laser powder bed fusion, the manufacturing process involves powder dynamics, heat transfer, phase transitions (melting, solidification, evaporation, and condensation), fluid flow (gas, vapor, and molten metal liquid), and their interactions. These interactions induce not only various defects but also complex thermal-mechanical-compositional conditions. These transient conditions lead to highly non-equilibrium microstructure evolutions, and the resultant microstructures, together with those defects, can significantly alter the mechanical properties of the as-built parts, including strength, ductility and residual stress. We believe that the most efficient approach to advance the fundamental understanding is integrating <em>in-situ</em> experimentation and high-fidelity modeling. In this review, we summarize the state of the art of these two powerful tools: <em>in-situ</em> synchrotron experimentation and high-fidelity modeling, and provide an outlook for potential research directions.</p></div>\",\"PeriodicalId\":14011,\"journal\":{\"name\":\"International Journal of Machine Tools & Manufacture\",\"volume\":\"194 \",\"pages\":\"Article 104077\"},\"PeriodicalIF\":14.0000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0890695523000858/pdfft?md5=ade9a847d0cb113f4720405c265ab583&pid=1-s2.0-S0890695523000858-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Machine Tools & Manufacture\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0890695523000858\",\"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":"International Journal of Machine Tools & Manufacture","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0890695523000858","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}
引用次数: 0

摘要

金属增材制造以其高精度、高效率、灵活性等优点得到了广泛的研究和快速增长的应用。然而,其吸引人的优势仍远未得到充分利用,瓶颈问题本质上源于对制造过程中复杂物理机制的不完全理解,微观结构演变到机械性能。具体而言,对于基于粉末融合的增材制造,如激光粉末床融合,制造过程涉及粉末动力学、传热、相变(熔化、固化、蒸发和冷凝)、流体流动(气体、蒸汽和熔融金属液体)及其相互作用。这些相互作用不仅引起各种缺陷,而且引起复杂的热机械组成条件。这些瞬态条件导致高度不平衡的微观结构演变,由此产生的微观结构以及这些缺陷可以显著改变竣工零件的机械性能,包括强度、延展性和残余应力。我们认为,推进基本理解的最有效方法是将现场实验和高保真建模相结合。在这篇综述中,我们总结了这两种强大工具的技术现状:原位同步加速器实验和高保真度建模,并对潜在的研究方向进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
In-situ experimental and high-fidelity modeling tools to advance understanding of metal additive manufacturing

Metal additive manufacturing has seen extensive research and rapidly growing applications for its high precision, efficiency, flexibility, etc. However, the appealing advantages are still far from being fully exploited, and the bottleneck problems essentially originate from the incomplete understanding of the complex physical mechanisms spanning from the manufacturing processes, microstructure evolutions, to mechanical properties. Specifically, for powder-fusion-based additive manufacturing such as laser powder bed fusion, the manufacturing process involves powder dynamics, heat transfer, phase transitions (melting, solidification, evaporation, and condensation), fluid flow (gas, vapor, and molten metal liquid), and their interactions. These interactions induce not only various defects but also complex thermal-mechanical-compositional conditions. These transient conditions lead to highly non-equilibrium microstructure evolutions, and the resultant microstructures, together with those defects, can significantly alter the mechanical properties of the as-built parts, including strength, ductility and residual stress. We believe that the most efficient approach to advance the fundamental understanding is integrating in-situ experimentation and high-fidelity modeling. In this review, we summarize the state of the art of these two powerful tools: in-situ synchrotron experimentation and high-fidelity modeling, and provide an outlook for potential research directions.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
25.70
自引率
10.00%
发文量
66
审稿时长
18 days
期刊介绍: The International Journal of Machine Tools and Manufacture is dedicated to advancing scientific comprehension of the fundamental mechanics involved in processes and machines utilized in the manufacturing of engineering components. While the primary focus is on metals, the journal also explores applications in composites, ceramics, and other structural or functional materials. The coverage includes a diverse range of topics: - Essential mechanics of processes involving material removal, accretion, and deformation, encompassing solid, semi-solid, or particulate forms. - Significant scientific advancements in existing or new processes and machines. - In-depth characterization of workpiece materials (structure/surfaces) through advanced techniques (e.g., SEM, EDS, TEM, EBSD, AES, Raman spectroscopy) to unveil new phenomenological aspects governing manufacturing processes. - Tool design, utilization, and comprehensive studies of failure mechanisms. - Innovative concepts of machine tools, fixtures, and tool holders supported by modeling and demonstrations relevant to manufacturing processes within the journal's scope. - Novel scientific contributions exploring interactions between the machine tool, control system, software design, and processes. - Studies elucidating specific mechanisms governing niche processes (e.g., ultra-high precision, nano/atomic level manufacturing with either mechanical or non-mechanical "tools"). - Innovative approaches, underpinned by thorough scientific analysis, addressing emerging or breakthrough processes (e.g., bio-inspired manufacturing) and/or applications (e.g., ultra-high precision optics).
期刊最新文献
Investigation of three-dimensional forces during additive friction stir deposition — How could force signals reveal the deposition quality? Towards a differentiated understanding of process damping and the introduction of process stiffening effects Revealing mechanisms of processing defect mitigation in laser powder bed fusion via shaped beams using high-speed X-ray imaging Editorial Board Combining in situ synchrotron X-ray imaging and multiphysics simulation to reveal pore formation dynamics in laser welding of copper
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1