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Methods to Optimize CNC Multi-Axis Milling Processes

Posted On Wednesday, 17 July 2024 14:27
Methods to Optimize CNC Multi-Axis Milling Processes Image by Wayken Rapid Manufacturing

The application of CNC multi-axis milling machining technology in aerospace manufacturing has achieved remarkable success, providing critical support for the production of high-quality, complex components. However, as the aerospace industry continues to grow, so do the demands for customized CNC milling services. To meet these challenges, there is a need to continually optimize the parameters, processes and tool selection for CNC multi-axis milling to drive the industry forward.

1. Importance of Parameter Adjustment

(1) Optimization of Cutting Speed

Improving Efficiency: Increasing cutting speed can significantly enhance production efficiency. High-speed cutting technology can remove more material in the same amount of time, thereby reducing machining cycles and increasing the yield of parts.

Reducing Cutting Temperature: Cutting speed optimization can help lower cutting temperatures. High-speed cutting usually involves faster tool movements and smaller cutting times, helping to reduce the size of the heat-affected zone. This is critical to avoid thermal deformation, improve surface quality and reduce residual stresses.

Extending Tool Life: By choosing the right cutting speed, the wear rate of milling tools can be reduced and tool life extended. This reduces the frequency of tool changes and reduces downtime in production.

(2) Optimization of Feed Rate

Enhancing Stability: The appropriate feed rate can reduce the vibration between the milling tool and the workpiece, improving machining stability. Less vibration minimizes cutting force instability, which helps to maintain consistent machining quality.

Improving Surface Finish: By selecting the appropriate feed rate, jumps between cutting paths can be reduced, reducing surface imperfections and roughness, which helps to improve the surface finish of parts and meet high quality surface requirements.

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Image by Wayken Rapid Manufacturing

Reducing Wear: Feed rate optimisation can reduce cutting forces, reduce wear on milling tools and machine tools, and improve tool and equipment life, which is critical to reducing production costs and improving equipment reliability.

2. Key Steps in Process Optimization

(1) Tool Path Planning

Reducing Processing Time: Selecting the shortest tool path can reduce processing time and improve milling efficiency. In aerospace manufacturing, where complex parts are often processed, reducing processing time is crucial to meet production schedules.

Minimizing Cutting Forces and Vibrations: Tool path planning can influence cutting forces and vibrations during processing. Optimizing paths can reduce impact and vibration between the tool and workpiece, decreasing cutting forces, extending tool life, and improving processing stability.

Avoiding Interference: Proper tool path planning must avoid interference between the tool and fixtures. Interference can disrupt processing and damage workpieces, making correct path planning essential for ensuring processing stability and safety.

(2) Optimization of Cutting Strategy

Cutting strategy includes decisions on depth of cut, width of cut, cutting speed and feed rate. By selecting the appropriate depth of cut and width of cut, the material removal rate can be maximised, thus increasing productivity.

In aerospace part customisation, high material removal rate is often one of the key objectives as it reduces machining cycle time. Proper cutting strategies can help reduce heat build-up during cutting and lower machining temperatures. This is important to avoid thermal deformation, improve surface quality and reduce residual stresses.

With an optimised cutting strategy, tool wear can be reduced and surface quality can be improved to meet the requirements of a high quality surface. This is critical for components in aerospace manufacturing, as surface quality directly affects performance and safety.

(3) Tool Selection

Tool selection for machining efficiency and part quality is critical , the appropriate tool should be selected according to the machining task and workpiece material. Different workpiece materials require different kinds of tools. For example, carbide tools are suitable for processing high-strength materials, while coated tools can improve cutting performance.

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Image by Wayken Rapid Manufacturing

Cutting conditions such as cutting speed, depth of cut and feed rate also affect tool selection, and the right tool should be adapted to the specific cutting conditions to achieve the best machining results. The geometry and complexity of the workpiece also affects tool selection. Different tool geometries are suitable for different types of machining, e.g., ball-ended tools are suitable for machining curved surfaces.

3. Data-Driven Optimization Methods

A data-driven approach allows real-time monitoring of critical parameters during machining, such as cutting forces, temperature and surface quality. Once abnormalities are detected, the system can automatically make adjustments to ensure the quality of the part.

By analysing machining data and image data, data-driven methods can detect flaws and defects on parts, which can help identify problems in advance and take steps to repair them.

Data-driven methods can also be used for CNC machining process control to ensure that each machining step is carried out within specified parameters, which helps to improve the consistency and stability of the machining process.

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