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GOALI: Six-Sigma Based Robust Process Design Under Tool Deterioration for Giga Fatigue Life of Precision Machined Components in Hard Turning

GOALI: Six-Sigma Based Robust Process Design Under Tool Deterioration for Giga Fatigue Life of Precision Machined Components in Hard Turning
GOALI:基于 6-Sigma 的稳健工艺设计,在刀具磨损情况下实现硬车削中精密加工部件的千兆疲劳寿命
批准号:
0825780
负责人:
Yuebin Guo
金额:
$33.78万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-08-15 至 2012-12-31

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中文摘要
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英文摘要
The overarching research objective of this award is to reveal the basic evolution of fatigue life with tool wear progression in hard turning for creating a six-sigma based robust process design. To realize the research objective, a synergistic experimental and theoretical study will be conducted. The research approaches are to: (i) Comprehensively characterize surface integrity evolution versus cutting time and tool wear; (ii) Map the distribution and variance of rolling contact fatigue life onto cutting time and the corresponding tool wear progression; and (iii) Create a six-sigma based robust process design tool for hard turning industry for fatigue life management while maximizing tool life.If successful, the six-sigma based design tool will allow the machining industry to manufacture reliable components while maximizing tool life in production. The new knowledge created will significantly advance the basic understanding of the linkage between process parameters, surface integrity, and product performance. The developed methodology of robust process design will also be useable in broad manufacturing processes when fatigue performance is of concern. This research will benefit machining economics by replacing expensive grinding by cheap and environmentally friendlier turning and reducing the associated tool costs. The synergetic university-industry partnership will afford a unique opportunity for faculty and students through the conduct of research and practical experience in industrial settings. The strong industrial participation will build a long-term research infrastructure through collaboration, co-advising students, industrial seminars, and rapid technology transfer.
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