航空航天应用中基于模型的钛合金材料定义新范例

IF 2.4 3区 材料科学 Q3 ENGINEERING, MANUFACTURING Integrating Materials and Manufacturing Innovation Pub Date : 2024-08-26 DOI:10.1007/s40192-024-00373-3
V. Venkatesh, D. Furrer, S. Burlatsky, M. Kaplan, A. Ross, S. Barker, M. McClure
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引用次数: 0

摘要

为了满足下一代高性能飞机和推进系统日益增长的需求,目前正在开发和实施基于模型的多学科材料工程(MBME)方法,这种方法利用基于物理的定量工艺-结构-性能(PSPP)关系。传统的基于经验的材料属性开发导致组件能力利用不足,并阻碍了基于模型的材料工程方法,而这种方法可以优化材料、制造工艺和组件设计等相互关联的技术。基于模型的材料工程框架为增强材料和工艺定义以及快速开发成本、重量、性能和鉴定方面的最佳设计提供了一种方法。成功建立基于模型的材料定义(MBMD)基础设施的几个关键要素已经确定。其中包括在跨学科工程工作流程中协同工作的单个或成套特定计算模型和数据工具。这些基础设施要素包括:稳健、经过验证、可扩展、适合目的且具有适当精度水平的模型;用于自动连接材料、制造和设计模型的工具集;增强型数据捕获和管理系统,以实现模型校准、验证和捕获材料及工艺变异性;以及多尺度材料表征工具和方法。本文将回顾用于钛和钛组件设计的工业 MBMD 框架示例,这些框架利用经过验证的制造工艺、微观结构演变、机械性能和组件/系统性能建模工具来支持稳健的 PSPP 关系,从而实现高性能的特定位置组件设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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New Paradigms in Model Based Materials Definitions for Titanium Alloys in Aerospace Applications

To meet the increasing demands of next generation high performance aircraft and propulsion system requirements, multidisciplinary model based materials engineering (MBME) approaches that utilize physics-based, quantitative process–structure–property–performance (PSPP) relationships are being developed and implemented. Traditional empirically based material property development resulted in underutilized component capabilities, and hinder MBME based methods that would allow the optimization of inter-related technologies of materials, manufacturing processes, and component design. A model-based materials engineering framework provides a means to enhanced materials and process definitions, and the rapid development of optimal designs with respect to cost, weight, performance, and qualification. Several key elements have been identified for the successful establishment of a model-based material definition (MBMD) infrastructure. These include individual or sets of specific computational model and data tools that work together in a cross-disciplinary engineering workflow. These infrastructural elements include robust, validated, scalable, fit for purpose models with the appropriate level of accuracy; toolsets for the automated linking of materials, manufacturing, and design models; enhanced data capture and management system to enable model calibration, validation and capture of materials and process variability; and multi-scale materials characterization tools and methods. This paper will review examples of industrial MBMD frameworks for titanium and titanium component design that utilizes validated manufacturing process, microstructure evolution, mechanical property and component/system performance modeling tools that have been developed to support robust PSPP relationships that enable high performance location specific component designs.

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来源期刊
Integrating Materials and Manufacturing Innovation
Integrating Materials and Manufacturing Innovation Engineering-Industrial and Manufacturing Engineering
CiteScore
5.30
自引率
9.10%
发文量
42
审稿时长
39 days
期刊介绍: The journal will publish: Research that supports building a model-based definition of materials and processes that is compatible with model-based engineering design processes and multidisciplinary design optimization; Descriptions of novel experimental or computational tools or data analysis techniques, and their application, that are to be used for ICME; Best practices in verification and validation of computational tools, sensitivity analysis, uncertainty quantification, and data management, as well as standards and protocols for software integration and exchange of data; In-depth descriptions of data, databases, and database tools; Detailed case studies on efforts, and their impact, that integrate experiment and computation to solve an enduring engineering problem in materials and manufacturing.
期刊最新文献
New Paradigms in Model Based Materials Definitions for Titanium Alloys in Aerospace Applications An Explainable Deep Learning Model Based on Multi-scale Microstructure Information for Establishing Composition–Microstructure–Property Relationship of Aluminum Alloys Comparison of Full-Field Crystal Plasticity Simulations to Synchrotron Experiments: Detailed Investigation of Mispredictions 3D Reconstruction of a High-Energy Diffraction Microscopy Sample Using Multi-modal Serial Sectioning with High-Precision EBSD and Surface Profilometry L-PBF High-Throughput Data Pipeline Approach for Multi-modal Integration
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