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Surface finish prediction models for fine turning

 

作者: ANIL MITAL,   MANISH MEHTA,  

 

期刊: International Journal of Production Research  (Taylor Available online 1988)
卷期: Volume 26, issue 12  

页码: 1861-1876

 

ISSN:0020-7543

 

年代: 1988

 

DOI:10.1080/00207548808948001

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

Surface finish data were generated for aluminium alloy 390, ductile cast iron, medium carbon leaded steel 10L45, medium carbon alloy steel 4130, and inconel 718 for a wide range of machining conditions defined by cutting speed, feed and tool nose radius. These data were used to develop surface finish prediction models, as a function of cutting speed, feed, and tool nose radius, for each individual metal. A general purpose surface finish prediction model is also proposed for ductile cast iron, medium carbon leaded steel, and alloy steel. Statistical analysis of experimental data indicated that surface finish is strongly influenced by the type of metal, speed and feed of cut, and tool nose radius. While the effects of feed and tool nose radius on surface finish were generally consistent for all materials, the effect of cutting speed was not. The surface finish improved with speed for ductile cast iron, medium carbon leaded steel, medium carbon alloy steel, and aluminium alloy, but it deteriorated with speed for inconel. Apparently, speed effect on surface finish is not always positive. For all metals, the surface finish improved with the tool nose radius while it deteriorated with speed.

 

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