CAREER: Enhancing Environmental and Economic Sustainability of Additive Manufacturing-based Remanufacturing

职业:增强基于增材制造的再制造的环境和经济可持续性

基本信息

  • 批准号:
    2305486
  • 负责人:
  • 金额:
    $ 50.88万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-10-01 至 2025-09-30
  • 项目状态:
    未结题

项目摘要

This Faculty Early Career Development (CAREER) grant will contribute to the advancement of national prosperity and economic welfare by enhancing the environmental and economic sustainability of additive manufacturing-based remanufacturing. Additive manufacturing methods comprise such processes as welding, plating and surface reconstruction, as well as 3-D printing. Remanufacturing has emerged as a critical element for realizing a sustainable manufacturing industry in the past decade. Recent progress in additive manufacturing (AM) provides enhanced capabilities for remanufacturing that cannot be achieved with traditional manufacturing processes. However, remanufacturing with AM (RwAM) is accompanied by challenges to ensure that supply chains supporting RwAM operate effectively and economically. Current RwAM practices mainly concern end-of-life products, many of which are no longer remanufacturable due to severe damage. Large uncertainties in environmental impacts are often ignored when determining whether it is worth remanufacturing, resulting in the robustness of the decisions in question. This project will investigate methods to support proactive maintenance to avoid catastrophic, end-of-life failures. Educational opportunities for students, including outreach to underrepresented minorities, are supported by the award. This award aims to improve the environmental and economic sustainability of RwAM by innovative proactive remanufacturing and resource-sharing. Three specific objectives are pursued: (1) assess and predict the damage condition of a post-RwAM product through data-driven and physics-based models to capture the inherent latent damage process evolution; (2) develop a distributionally-robust proactive RwAM decision framework to hedge against large uncertainties in environmental impacts; (3) create a novel RwAM resource-sharing system based on two-sided matching models to match the unused RwAM resources with demand and examine the impact of flexibility in the RwAM resource-sharing system. Successful development of these models will lead to fundamentally new perspectives on RwAM and accelerate its expansion. The education and outreach plan supports hands-on activities with 3D printers at the university and to rural areas of the state through a traveling laboratory.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该学院早期职业发展(CAREER)补助金将通过增强基于增材制造的再制造的环境和经济可持续性,为促进国家繁荣和经济福利做出贡献。增材制造方法包括焊接、电镀和表面重建以及3D打印等工艺。 在过去的十年中,再制造已经成为实现可持续制造业的关键因素。增材制造(AM)的最新进展为再制造提供了传统制造工艺无法实现的增强能力。然而,与AM(RwAM)的再制造伴随着挑战,以确保支持RwAM的供应链有效和经济地运作。目前的RwAM做法主要涉及报废产品,其中许多产品由于严重损坏而无法再制造。在确定是否值得再制造时,环境影响的巨大不确定性往往被忽略,导致相关决策的稳健性。该项目将研究支持主动维护的方法,以避免灾难性的寿命终止故障。 该奖项支持为学生提供教育机会,包括向代表性不足的少数群体开展外联活动。 该奖项旨在通过创新的主动再制造和资源共享来改善RwAM的环境和经济可持续性。我们追求三个具体目标:(1)通过数据驱动和基于物理的模型来评估和预测后RwAM产品的损坏状况,以捕捉固有的潜在损坏过程演变;(2)开发一个分布式鲁棒的主动RwAM决策框架,以对冲环境影响中的巨大不确定性;(3)建立基于双边匹配模型的新型RwAM资源共享系统,以将未使用的RwAM资源与需求相匹配,并检查RwAM资源共享系统的灵活性的影响。 这些模型的成功开发将带来对RwAM的全新视角,并加速其扩展。 该教育和推广计划通过一个流动实验室支持在大学和该州农村地区使用3D打印机的实践活动。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Data-driven remanufacturing planning with parameter uncertainty
  • DOI:
    10.1016/j.ejor.2023.01.031
  • 发表时间:
    2023-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Zhicheng Zhu;Yisha Xiang;Ming Zhao;Yue Shi
  • 通讯作者:
    Zhicheng Zhu;Yisha Xiang;Ming Zhao;Yue Shi
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Yisha Xiang其他文献

Automatic Classification of Heartbeats Using ECG Signals via Higher Order Hidden Markov Model
通过高阶隐马尔可夫模型使用 ECG 信号对心跳进行自动分类
Modeling multivariate degradation data with dynamic covariates under a Bayesian framework
在贝叶斯框架下使用动态协变量对多元退化数据进行建模
  • DOI:
    10.1016/j.ress.2025.111115
  • 发表时间:
    2025-09-01
  • 期刊:
  • 影响因子:
    11.000
  • 作者:
    Zhengzhi Lin;Xiao Liu;Yisha Xiang;Yili Hong
  • 通讯作者:
    Yili Hong
Reliability modeling of correlated competitions and dependent components with random failure propagation time
具有随机故障传播时间的相关竞争和相关组件的可靠性建模
Adaptive Opportunistic Maintenance for Multi-unit Systems Subject to Stochastic Degradation
遭受随机退化的多单元系统的自适应机会维护
Joint optimization of X¯ control chart and preventive maintenance policies: A discrete-time Markov chain approach
  • DOI:
    10.1016/j.ejor.2013.02.041
  • 发表时间:
    2013-09
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yisha Xiang
  • 通讯作者:
    Yisha Xiang

Yisha Xiang的其他文献

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{{ truncateString('Yisha Xiang', 18)}}的其他基金

Integrated Framework for Cooperative 3D Printing: Uncertainty Quantification, Decision Models, and Algorithms
协作 3D 打印的集成框架:不确定性量化、决策模型和算法
  • 批准号:
    2329739
  • 财政年份:
    2024
  • 资助金额:
    $ 50.88万
  • 项目类别:
    Standard Grant
CAREER: Enhancing Environmental and Economic Sustainability of Additive Manufacturing-based Remanufacturing
职业:增强基于增材制造的再制造的环境和经济可持续性
  • 批准号:
    1943985
  • 财政年份:
    2020
  • 资助金额:
    $ 50.88万
  • 项目类别:
    Standard Grant
Collaborative Research: Maintenance Planning for Complex Systems in Dynamic Environments
协作研究:动态环境中复杂系统的维护规划
  • 批准号:
    1855408
  • 财政年份:
    2018
  • 资助金额:
    $ 50.88万
  • 项目类别:
    Standard Grant
Collaborative Research: Maintenance Planning for Complex Systems in Dynamic Environments
协作研究:动态环境中复杂系统的维护规划
  • 批准号:
    1728257
  • 财政年份:
    2017
  • 资助金额:
    $ 50.88万
  • 项目类别:
    Standard Grant

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  • 财政年份:
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