Open AccessOptimization of Milling Cutting Parameters under Carbon Efficiency Target
Author(s) -
Rong Yin,
Ze Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1888/1/012008
Subject(s) - process (computing) , process engineering , metric (unit) , carbon fibers , genetic algorithm , end milling , performance metric , greenhouse gas , computer science , mechanical engineering , mathematical optimization , engineering , machining , algorithm , mathematics , ecology , operations management , management , composite number , economics , biology , operating system
In order to improve the energy efficiency of the CNC milling process and reduce the carbon emissions during the milling process, this paper presents a method for cutting parameters selection by considering both materials remove rate and carbon emissions. First, a metric called carbon emissions efficiency is proposed with consideration of the materials remove rate and carbon emissions. Second, the carbon emissions evaluation model for NC milling process is built based on the input-output flows. Third, an optimization model for the parameters used in a milling operation is built where the spindle speed and feed rate are taken into account as optimization variables. Constraints are proposed based on the machine tool performance parameters and the quality requirements of the workpiece. A genetic algorithm is employed to solve the optimization problem. A case is studied to validate the model.