フライス加工部品の精度を管理する

CNC フライス加工の使用の最適化は、フライス加工部品の特性に基づいています. CNCフライス加工部品プロセスの技術的および経済的分析と研究を通じて, 科学的な, 合理的かつ正確なミリングパラメータ最適化数学モデルが確立されています, 適切な最適化アルゴリズムが採用されています.

What is the amount of milling?
With the rapid development of modern manufacturing technology, there are more and more parts with various complex forming surfaces and high precision requirements. As one of the main processing methods of this kind of parts, CNC milling processing. The choice of cutting amount will have a greater impact on processing efficiency, tool durability, processing cost and processing quality.

Milling optimization model
Find a set of numerical control milling parameters that minimize the value of the objective function in the feasible area of milling parameters. したがって, the key to the optimization of CNC milling parameters is to establish the numerical relationship between the design variables, the optimization goals, and the constraints, あれは, to establish the optimization mathematical model.

In optimal design, the independent parameters that need to be optimized are called optimal design variables. The cutting parameters such as spindle speed, feed speed, milling thickness, cutting width in CNC milling are the factors that affect the realization of CNC milling goals, and are the basic control quantities in the CNC milling process. There is actually the best combination scheme between them. したがって, in the mathematical model of numerical control milling parameters optimization, the spindle speed n, the feed speed vf, the amount of back tool ap, the cutting width ae, 等. 使用されています. The cutting amount is a design variable.

Milling objective function
The objective function is a function of design variables and an index for comparing and selecting various design schemes. The objective function of numerical control milling parameter optimization should be consistent with the purpose of numerical control milling processing. The purpose of CNC machining is to maximize economic benefits, あれは, through the best combination of cutting parameters, give full play to the cutting efficiency of machine tools and tools, and under the premise of ensuring the quality of processing, reduce processing costs as much as possible and increase productivity. Both processing cost and productivity can establish a functional relationship with the cutting amount. したがって, taking processing cost and productivity as the objective function of numerical control milling consumption optimization is in line with the actual needs of production.

Constraints for milling
The choice of CNC milling amount is limited by technical conditions such as CNC machine tools, ツール, workpieces and processing quality, and the range of cutting amounts available for selection is limited. したがって, the constraint conditions for the optimization of numerical control milling parameters should be established based on these restrictions, so that the optimized results are in line with the actual production.

Multi-objective optimization background of cutting parameters
The optimal selection of metal cutting processing parameters is of great significance to ensure processing quality, increase productivity and economic benefits. It is also particularly important for CNC machine tools, especially machining centers. Due to the complexity and uncertainty of the machining process, many factories choose the cutting amount based on experience, but the actual results vary greatly from person to person. In order to control and ensure the quality of processing, give full play to the energy efficiency of CNC machine tools, so that the choice of cutting parameters is changed from empirical judgment to quantitative analysis. With the help of computer technology, the cutting parameters are optimized with simple and reliable optimization algorithms to meet the actual needs of cutting.

The price and labor cost of CNC machine tools are relatively high, and the proportion of tool wear costs is relatively low. したがって, in most materials, high milling amount should be used as much as possible. According to this choice, it is possible to reduce the proportion of machine tool labor cost in the part manufacturing cost, which is a positive side. しかし, high cutting consumption will reduce the durability of the cutting tool, requiring frequent replacement or sharpening of the tool, thereby reducing productivity;
High cutting consumption is prone to waste products and reduces the reliability of machine tools.