STUDY ON THE INFLUENCE OF CUTTING PARAMETERS ON CONSUMPTION ENERGY AND SURFACE ROUGHNESS IN HIGH-SPEED FACE MILLING OF SKD11 STEEL AFTER HEAT TREATMENT USING ARTIFICIAL ECO-SYSTEM ALGORITHM=STUDY ON THE INFLUENCE OF CUTTING PARAMETERS ON CONSUMPTION ENERGY AND SURFACE ROUGHNESS IN HIGH-SPEED FACE MILLING OF SKD11 STEEL AFTER HEAT TREATMENT USING ARTIFICIAL ECO-SYSTEM ALGORITHM

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Tác giả: Dang Van Hai, Dao Van Duong, Xuan Bien Duong, Van Tan Le, Van Trung Nguyen

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: Tạp chí Khoa học & Công nghệ - Trường Đại học Công nghiệp Hà Nội, 2024

Mô tả vật lý: tr.97

Bộ sưu tập: Metadata

ID: 478940

This paper presents the assessment results of the cutting parameters influence on consumption energy (CE) and surface roughness (Ra) in high-speed face milling of SKD11 steel after heat treatment. Cutting parameters include spindle speed (n), feed rate (F) and depth of cut (t). The Box-Behnken experimental planning method is used to find the regression equation describing the relationship of three parameters with energy consumption and surface roughness with Design Expert software. The artificial ecosystem optimization (AEO) algorithm is used to optimize the objective function in terms of CE and Ra. From there, the influence of cutting parameters on each target is analyzed. Research results have important value in finding machining solutions that both save energy costs and improve surface quality in high-speed machining of SKD11 steel after heat treatment in particular and hard alloy steels in general.
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