Multi-objective optimization of numerical control milling

With the rapid development of modern manufacturing technology, more and more parts with various complex molding surfaces and high precision requirements are used. As a numerical control milling method which is one of the main processing methods of such parts, the selection of cutting amount is correct. Processing efficiency, tool durability, processing costs and processing quality will have a large impact.

In order to control and ensure the quality of processing, give full play to the numerical control machine tool: 2001-12-06 Fund Project: Heilongjiang Natural Science Fund Project (E9909)-), male, engineer of Harbin University of Science and Technology.

Efficacy, the choice of cutting amount from empirical judgment to quantitative analysis, based on computer technology, based on the existing cutting processing research results, establish a scientific, accurate and practical optimization model, with simple and reliable optimization algorithm to optimize the cutting amount 2.2.2 Processing Cost The objective function The basic model of processing cost is to obtain the processing cost target model by using equations (2), (3) and (4) instead of (5). The multi-objective function of 2.2.3 numerical control milling optimization is guaranteed. Under the premise of quality, CNC milling, which achieves the highest productivity (shortest machining time) and the lowest processing cost, is the basis for maximum economic benefits. Therefore, this paper establishes a multi-objective function for optimizing the numerical control milling usage based on the actual needs with the lowest cost and the most probable productivity.

According to the linear weighted sum method, the multi-objective function is f41:=l/tmin; Ac, At is the weighting coefficient; Cmin is the minimum value of single-objective cost optimization; U is the minimum value of single-target time optimization.

Substituting equations (4) and (6) into equation (7), the numerical control milling optimization is multi-objective function is 2.3 Constraint conditions The selection of CNC milling is limited by the technical conditions of CNC machine tools, tools, workpieces and machining quality. The range of cuts selected is limited. Therefore, the constraints of numerical control milling optimization should be established according to these limitations, so that the optimized results are in line with the actual production.

Machine power constraints: cutting speed; main cutting force machine feed strength constraint: feed force.

2.3.2 Tool Constraint Ball end milling cutter is widely used in CNC milling and is the main tool for CNC milling of complex surfaces. Therefore, this paper establishes the constraint condition mainly by ball-end milling cutter.

Tool strength constraints. Beijing: Mechanical Industry Press, 2000. Cai Ying. CAD/CAM principles and applications. Shanghai Science and Technology Press, 1983. Taiyuan Metal Cutting Tools Association. Practical Tool Technology for Metal Cutting M. Beijing: Mechanical Industry Press, 1993. (Review of Professor Zhang Yongjun, Professor Chen Yuquan; Editor: Fu Changyu)

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