Statistical analysis of the impact of cutting parameters on energy consumption and surface finish in a machining center
1
Instituto Tecnológico Metropolitano, Department of Electromechanics and Mechatronics, Columbia
These authors had equal contribution to this work
Submission date: 2024-04-26
Final revision date: 2025-01-16
Acceptance date: 2025-01-27
Online publication date: 2025-01-28
Publication date: 2025-01-28
Corresponding author
Miguel Angel Rodriguez-Cabal
Instituto Tecnológico Metropolitano, Department of Electromechanics and Mechatronics
Instituto Tecnológico Metropolitano, Department of Electromechanics and Mechatronics
KEYWORDS
TOPICS
ABSTRACT
In industry, the search for reducing energy consumption directly impacts the manufacturing sectors due to the high power consumption required for their processes. Thus, studies on machining centers that identify factors impacting this demand, while maintaining the quality of the surface finish on manufactured parts, are essential. The objective of this paper is to statistically analyze the influence of cutting parameters on energy consumption and surface finish on a Leadwell V40 iT machining center. A design of experiments (DOE) was developed using Minitab® software, with the depth of cut, spindle speed, and feed rate as input parameters. Each experiment was programmed using SprutCAM, measuring energy consumption and surface finish. The data obtained were statistically analyzed to determine the influence of the cutting parameters on the response variables, individually and in combination. The results show that the most critical factor for both responses is the depth of cut, with an F-value of 93.71 for surface finish and 36.20 for energy consumption, both presenting a P-value near zero. The composite analysis, aimed at optimizing the cutting parameters, shows an accuracy of 96.49% in minimizing these parameters
FUNDING
This work was supported by the Instituto Tecnolgico Metropolitano de Medellín (Colombia), under the research groups of Advanced Computing and Digital Design (SeCADD), which belongs to the research group of Advanced Materials and Energy (MATyER).
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