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

  • Dao Van Duong
  • Nguyen Van Trung
  • Le Van Tan
  • Duong Xuan Bien
  • Dang Van Hai
Keywords: High-speed milling, energy consumption, surface roughness, optimization, AEO.

Abstract

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.

điểm /   đánh giá
Published
2024-08-01
Issue
Tập 60.Số 05 (2024)
Section
RESEARCH AND DEVELOPMENT