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
该提案被提交给化学和运输系统部门,以响应2002财年信息技术研究招标,详见NSF公告。NSF 01-149,在“小型”类别。该提案旨在开发一套全面的数值模型和技术来模拟超快速激光加工,并利用这些技术来详细了解超快速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,并在共享内存并行计算机上实现它们。要解决的现象学问题包括由于反冲压力和液滴再沉积造成的熔融液滴的熔化和喷射。大规模模拟为解决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。大规模并行计算方面的研究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器件模拟、微尺度能源产生以及各种新兴的生物和非技术。教育方面的影响包括扩展了研究生在先进制造科学方面的计算科学专业知识,以及扩展了由合作pi教授的高级课程的内容。资金来自CTS部门为itr小额赠款保留的资金以及热传输和热处理计划。
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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