Experimental Investigation and Modeling of the Kerf Profile in Submerged Milling by Macro Abrasive Waterjet

被引:4
|
作者
Ravi, Rajesh Ranjan [1 ]
Kumar, T. N. Deepu [1 ]
Srinivasu, D. S. [1 ]
机构
[1] Indian Inst Technol Madras, Dept Mech Engn, Chennai 600036, India
关键词
submerged milling; damage region; edge radius; jet flow dynamics; kerf geometry model; material removal mechanism; machining processes; modeling and simulation; nontraditional manufacturing processes; PARTICLE-VELOCITY; JETS; CHANNELS;
D O I
10.1115/1.4062547
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Toward achieving control over the kerfing through macro abrasive waterjet submerged milling, there is a need (i) to understand the influence of the water column height on the kerf quality and (ii) to develop a model for the prediction of the kerf characteristics. This study performs detailed experimentation to assess the kerf quality enhancement in submerged milling relative to the in-air milling on Al-6061 alloy. From the modeling perspective, there are very limited efforts in developing a comprehensive model that includes both the jet flow dynamics and material removal models-this is the missing link. Toward this, a comprehensive model is proposed and validated for the prediction of kerf in in-air and submerged conditions by considering (i) jet dynamics and (ii) jet-material interaction. From the experimental results, it is observed that by adopting the submerged milling, the damaged region, top kerf width and edge radius got reduced by 20.3%, 13.53%, and 22.7%, respectively. However, this enhancement in the kerf quality is associated with a reduction in the centerline erosion depth (h(max)) by 12.33% and a material removal rate by 24.52%. The material removal mechanism is more uniform and directed in the submerged milling, whereas in-air is random. The proposed model predicted the kerf crosssectional profile in submerged milling and in-air with a mean absolute error of 60 mu m and 57 mu m, squared Pearson correlation coefficient of 0.97 and 0.99, and the hmax with a maximum error of 1.3% and 1.4%. [DOI: 10.1115/1.4062547]
引用
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页数:18
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