Integrating Materials Model-Based Definitions into Design, Manufacturing, and Sustainment: A Digital Twin Demonstration of Incorporating Residual Stresses in the Lifecycle Analysis of a Turbine Disk

计算机辅助设计 组分(热力学) 残余物 工程制图 信息模型 元数据 计算机科学 涡轮机 机械工程 工程类 过程(计算) 软件工程 算法 热力学 操作系统 物理
作者
Saikiran Gopalakrishnan,Nathan Hartman,Michael D. Sangid
出处
期刊:Journal of Computing and Information Science in Engineering [ASME International]
卷期号:21 (2) 被引量:11
标识
DOI:10.1115/1.4048426
摘要

Abstract Model-based definitions (MBDs) aim to capture both geometric and non-geometric data in digital product definitions using 3D computer-aided design (CAD) models, as a form of product definition baseline, to disseminate product information across different stages of the lifecycle. MBDs can potentially eliminate error-prone information exchange associated with traditional paper-based drawings and improve the fidelity of component details, captured using 3D CAD models. A component’s behavior during its lifecycle stages influences its downstream performance, and if included within the MBD of a part, could be used to forecast performance upfront during the design and explore newer designs to enhance performance. However, current CAD capabilities limit associating behavioral information with the component’s shape definition. This paper presents a CAD-based tool to store and retrieve metadata using point objects within a CAD model, creating linkages to spatial locations within the component. The tool is illustrated for storage and retrieval of bulk residual stresses developed during the manufacturing of a turbine disk acquired from process modeling and characterization. Further, variations in residual stress distribution owing to process model uncertainties have been captured as separate instances of the disk’s CAD models to represent part-to-part variability as an analogy to track individual serialized components for digital twins. The propagation of varying residual stresses from these CAD models within the damage tolerance analysis performed at critical locations in the disk has been demonstrated. The combination of geometric and non-geometric data inside the MBD, via storage of spatial and feature varying information, presents opportunities to create digital twin(s) of actual component(s).

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
enternow发布了新的文献求助10
1秒前
不吃西瓜发布了新的文献求助10
2秒前
lyu完成签到,获得积分10
2秒前
sherryginyz发布了新的文献求助10
2秒前
繁星完成签到 ,获得积分10
3秒前
艾席文发布了新的文献求助10
5秒前
21发布了新的文献求助10
6秒前
火苗完成签到,获得积分10
6秒前
7秒前
传奇3应助涔雨采纳,获得10
7秒前
cjdsb发布了新的文献求助10
9秒前
9秒前
达拉崩吧完成签到,获得积分10
9秒前
14秒前
14秒前
xiaoyu发布了新的文献求助10
15秒前
拉长的博超完成签到,获得积分10
16秒前
张文静发布了新的文献求助10
18秒前
涔雨发布了新的文献求助10
21秒前
务实的小虾米完成签到,获得积分10
22秒前
23秒前
GXWFDC发布了新的文献求助10
23秒前
朝朝暮夕完成签到 ,获得积分10
25秒前
菠萝吃多发布了新的文献求助10
26秒前
cjdsb发布了新的文献求助10
27秒前
29秒前
31秒前
31秒前
小马甲应助张文静采纳,获得10
31秒前
wanci应助云海采纳,获得10
33秒前
ddddd发布了新的文献求助30
35秒前
怡然的扬发布了新的文献求助10
36秒前
不配.应助Dore采纳,获得200
38秒前
xiaoyu完成签到,获得积分20
39秒前
跳跃的阑香完成签到 ,获得积分10
39秒前
汉堡包应助zzz采纳,获得10
39秒前
科研通AI6应助能干大树采纳,获得10
41秒前
lzx完成签到,获得积分10
41秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1621
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 800
Biology of the Reptilia. Volume 21. Morphology I. The Skull and Appendicular Locomotor Apparatus of Lepidosauria 620
A Guide to Genetic Counseling, 3rd Edition 500
Laryngeal Mask Anesthesia: Principles and Practice. 2nd ed 500
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5560560
求助须知:如何正确求助?哪些是违规求助? 4645819
关于积分的说明 14676287
捐赠科研通 4587010
什么是DOI,文献DOI怎么找? 2516678
邀请新用户注册赠送积分活动 1490255
关于科研通互助平台的介绍 1461096