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Energy-consumption-oriented cavity numerical control milling cutter combination optimization method

A technology for CNC milling and machining tools, applied in the field of machining, which can solve the problems of high energy consumption and cost

Active Publication Date: 2016-07-20
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem of high energy consumption and high cost caused by improper selection of tool combinations during the CNC milling process of 2.5D cavity parts

Method used

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  • Energy-consumption-oriented cavity numerical control milling cutter combination optimization method
  • Energy-consumption-oriented cavity numerical control milling cutter combination optimization method
  • Energy-consumption-oriented cavity numerical control milling cutter combination optimization method

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Embodiment Construction

[0099] The present invention will be further described below in conjunction with the accompanying drawings and embodiments, but it should not be understood that the scope of the subject matter of the present invention is limited to the following embodiments. Without departing from the above-mentioned technical ideas of the present invention, various replacements and changes made according to common technical knowledge and conventional means in this field shall be included in the protection scope of the present invention.

[0100] This embodiment takes Prius PL700 machining center as platform, to Figure 7 The tool combination shown in the 2.5D cavity milling process was optimized for selection. The machine tool energy efficiency monitoring system independently developed by Chongqing University is used to measure the real-time power of the machine tool, and the fixed power value of the machine tool measured during the cutting process is P 0 =1450w.

[0101] Tool combination o...

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Abstract

The invention is to solve the problem of high energy consumption and cost due to inappropriate selection of cutter combination in the 2.5 D cavity-type part milling, and discloses an energy-consumption-oriented cavity numerical control milling cutter combination optimization method. The method comprises the following steps: to begin with, systematically analyzing a mapping relation between the cutter combination and energy consumption in numerical control milling proves, revealing influence of the cutter diameter and cutter feasible region on milling energy consumption, and establishing a multi-cutter numerical control milling energy consumption function; based on this, establishing a numerical control milling cutter combination multi-objective optimization model with feasible cutters being optimization variables and energy consumption and cost being optimization objectives; providing a cutter combination optimization solution method, constructing a feasible cutter set, determining a feasible region of each cutter, and solving the optimization model through a digraph and a Dijkstra algorithm; and finally, carrying out cavity milling through the obtained optimum cutter combination.

Description

technical field [0001] The invention relates to the field of mechanical processing, in particular to a method for optimizing tool combinations related to energy consumption and cost in numerical control milling of 2.5D cavity parts. Background technique [0002] Numerical control machine tools have been widely used in various fields of manufacturing industry, but their total energy consumption is large and their energy efficiency is low. Therefore, how to reduce the energy consumption of machine tools is an urgent problem to be solved. In actual processing, the combined processing efficiency of multiple tools is often better than that of a single tool, so the reasonable selection of tool combinations is of great significance to reduce machine tool energy consumption and cost, and improve processing efficiency. With the increasing demand for energy saving and emission reduction in the manufacturing industry, it is a basic scientific problem that needs to be solved urgently in...

Claims

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Application Information

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IPC IPC(8): G05B19/19
CPCG05B19/19Y02P70/10
Inventor 李聪波吴磊李玲玲陈行政肖溱鸽朱岩涛沈欢万腾雷焱绯
Owner CHONGQING UNIV
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