Multi-objective parameter optimization of CNC plane milling for sustainable manufacturing

Area of Science:

• Manufacturing Engineering
• Sustainable Manufacturing
• Machining Process Optimization

Background:

• Current empirical methods for determining cutting parameters lack theoretical support and fail to consider machine tool and material constraints.
• This limitation hinders optimal machine tool performance and sustainable manufacturing practices.

Purpose of the Study:

• To propose a multi-objective parameter optimization method for CNC plane milling tailored for sustainable manufacturing.
• To address limitations of empirical methods by incorporating machine tool capabilities, cutting tool performance, and workpiece material constraints.

Main Methods:

• Development of an accurate milling energy model incorporating transient processes like spindle acceleration.
• Establishment of a multi-objective optimization model for CNC plane milling, using cutting parameters as variables and considering complex constraints.
• Visualization of the relationship between cutting parameters and optimization indices using 3D surface maps.

Main Results:

• Optimized cutting parameters led to a 21.0% increase in processing efficiency.
• Energy consumption was reduced by 15.3% through the proposed optimization method.
• Surface roughness was improved by 5.5%, demonstrating enhanced product quality.

Conclusions:

• The developed multi-objective parameter optimization method is effective and feasible for CNC plane milling.
• The method successfully balances processing efficiency, energy consumption, and surface quality for sustainable manufacturing.
• The findings provide a theoretical basis and practical tools for optimizing machining parameters.