Open Construction and Building Technology Journal
SCOPUS (2010-2023)
1874-8368
Các Tiểu vuơng quốc Ả Rập Thống nhất
Cơ quản chủ quản: Bentham Science Publishers B.V.
Lĩnh vực:
Building and Construction
Các bài báo tiêu biểu
Evaluation of Machinability in Turning of Engineering Alloys by Applying Artificial Neural NetworksThe present paper investigates the influence of main cutting parameters on the machinability during turning
process for three typical materials namely AISI D6 tool steel, Ti6Al4V ELI and CuZn39Pb3 brass, all three under dry
cutting environment. Spindle speed, feed rate and depth of cut were selected for study whilst arithmetic surface roughness
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