Statistical Analysis and Control of Ultrasonic-based Aluminum Nano-composite Fabrication Processes

超声波铝纳米复合材料制造过程的统计分析与控制

• 批准号: 0926084
• 负责人: Shiyu Zhou
• 金额: $ 35.21万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0926084&HistoricalAwards=false
• 关键词: Statistical; Analysis; Control; Ultrasonic; based

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).This project focuses on process control and variation reduction issues of the ultrasonic cavitation based nanocomposite fabrication process and targets bringing this process from lab environment to a scale-up industrial environment. The ultrasonic cavitation based dispersion of nanoparticles in aluminum and magnesium alloy melts has been shown to be a very promising process of producing metal matrix nano-composites. The scientific objective is to discover the fundamental processing/microstructure/property relationship in this fabrication process through the integration of statistical methods and physical analysis, and then utilize the relationship for process optimization and control. This research will focus on the specific tasks as follows: (i) Quantitative assessment of the nano-particle dispersion within the microstructure. (ii) In-situ process sensing signal processing and characterization. (iii) In-situ process monitoring and optimization. The knowledge generated in this project will reveal the influence of non-linear effects (cavitation and streaming) on the nanoparticle dispersion, micro/nano-structures, and mechanical properties of aluminum matrix nanocomposites and will enable the production of high performance bulk Al matrix nanocomposites at the scale-up industrial level. The success of the project will catalyze a transition from traditional process control techniques to a generic model-based diagnostic paradigm and contribute to a new scientific base for scale-up nano-manufacturing. Successful implementation of this project will result in providing our nation's manufacturing base with new, more energy-efficient production methods while at the same time enabling new products (e.g., automotive engine block) that themselves are more energy efficient in comparison to products available today. This project can also provide students the unique opportunity to obtain interdisciplinary training in various fields including mechanical engineering, material science, system science, and statistics.

该奖项是根据2009年的《美国回收与再投资法》（公法111-5）资助的。本项目的重点是基于超声型气液的纳米复合材料制造过程的过程控制和变化问题，并针对将这一过程从实验室环境带到规模化工业环境。纳米颗粒在铝和镁合金熔体中的基于超声空化的分散体已被证明是产生金属基质基质纳米复合材料的非常有前途的过程。科学的目标是通过整合统计方法和物理分析，在这种制造过程中发现基本的处理/微观结构/财产关系，然后利用该关系进行过程优化和控制。这项研究将集中在以下特定任务上：（i）对微观结构内纳米粒子分散的定量评估。 （ii）原位过程传感信号处理和表征。 （iii）原位过程监视和优化。该项目中产生的知识将揭示非线性效应（空化和流媒体）对纳米颗粒分散，微/纳米结构以及铝基质纳米复合材料的机械性能的影响，并将促进在规模上的工业级别生产高性能的Al Matrix Nanocomposites。该项目的成功将催化从传统过程控制技术到基于通用模型的诊断范式的过渡，并为扩大纳米制造的新科学基础做出了贡献。该项目的成功实施将导致为我们的国家的制造基地提供新的，更节能的生产方法，同时促进与当今可用产品相比，新产品（例如，汽车发动机块）本身更节能。该项目还可以为学生提供独特的机会，以在机械工程，材料科学，系统科学和统计等各个领域获得跨学科培训。