ITR: Large Scale Continuum and Molecular Dynamics Simulations of Ultra-Fast Laser Machining
ITR: Large Scale Continuum and Molecular Dynamics Simulations of Ultra-Fast Laser Machining
批准号:
0219098
负责人:
Jayathi Murthy
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-09-01 至 2007-07-31
中文摘要
该提案是应NSF公告中所述的2002财年信息技术研究征集而提交给化学和运输系统司的。NSF 01-149,属于“小”类别。这项提议是为了开发一套全面的数值模型和技术来模拟超快激光加工,并使用这些技术来详细了解超快激光加工的基本物理原理。特别是,PI建议开发这些过程的数值多尺度有限体积和分子动力学模型,并在共享内存的并行计算机上实现它们。需要解决的现象学问题包括后坐压力和液滴再沉积造成的熔滴熔化和喷射。大规模模拟为解决有关超快激光加工中烧蚀过程机理的一些基本问题提供了可能。研究的大规模并行计算方面将拓宽热科学研究人员在这一重要信息技术领域的能力。其他可能受到这些计算技术发展影响的技术包括高速微电子设备模拟、微尺度能源产生以及各种新兴的生物和非技术。教育影响包括扩展参与先进制造科学的研究生的计算科学专业知识,以及扩大由合作的私人投资机构教授的高级课程的内容。资金来自为ITR保留的资金--CTS司的小额赠款以及热运输和热处理方案。
英文摘要
The proposal was submitted to the Chemical and Transport Systems Division in response to the FY2002 Information Technology Research solicitation, described in NSF Announcement. NSF 01-149, in the "Small" category. The proposal is for development of a comprehensive set of numerical models and techniques for the simulation of ultra-fast laser machining and to employ these techniques to obtain a detailed understanding of the fundamental physics of ultra-fast laser processing. In particular, the PIs propose to develop numerical multiscale finite volume and molecular dynamics models of these processes and to implement them on shared-memory parallel computers. Phenomenological issues to be addressed include melting and ejection of molten droplets due to recoil pressure and droplet redeposition. Large-scale simulation offers the possibility of resolving a number of fundamental questions concerning mechanisms of the ablation process in ultra-fast laser machining. The large-scale parallel computing aspects of the research will broaden the capabilities of thermal science researchers in this important information technology area. Other technologies that may be impacted by the development of these computational techniques include high speed microelectronics device simulation, microscale energy generation, and in a variety of emerging bio- and non-technologies. Educational impacts include expanded computational science expertise in graduate students involved with advanced manufacturing sciences and the expansion of content in upper level courses taught by the collaborating PIs. Funding is from funds reserved for ITR-Small grants in the CTS Division as well as from the Thermal Transport and Thermal Processing program.
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