Milling operation parameter optimization of AA 2024-T351 aluminum alloy material

IF 1.3 4区材料科学 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY

Emerging Materials Research Pub Date : 2022-01-01 DOI:10.1680/JEMMR.20.00272

PehlivanHüseyin

引用次数: 1

Abstract

The expected quality indicator in the manufacturing industry is the surface roughness (Ra). The effect of milling operation parameters on axial forces and surface roughness of AA 2024-T351 alloy pl...

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AA 2024-T351铝合金材料铣削工艺参数优化

在制造业中期望的质量指标是表面粗糙度(Ra)。研究了铣削工艺参数对AA 2024-T351合金轴向力和表面粗糙度的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Emerging Materials Research MATERIALS SCIENCE, MULTIDISCIPLINARY-

CiteScore

4.50

自引率

9.10%

发文量

期刊介绍： Materials Research is constantly evolving and correlations between process, structure, properties and performance which are application specific require expert understanding at the macro-, micro- and nano-scale. The ability to intelligently manipulate material properties and tailor them for desired applications is of constant interest and challenge within universities, national labs and industry.