一种机械加工过程切削功率的综合计算方法
An integrated method for determining the cutting power of machining process
机械加工系统能量效率的研究正在国际上兴起。生产现场的机械加工系统能量效率获取的关键是有效能量和切削功率的获取，现阶段，获取机械加工过程切削功率的方法主要有两种：一是通过仪器现场检测，该方法需要现场安装实验设备，在车间现场很难实施；二是通过计算获得。计算获得方法虽方便易行，但目前应用的计算方法大多存在精度不高的缺点。为提高有效能量的计算精度，本文提出一种机械加工过程切削功率的综合计算方法。首先对国内外现有切削功率计算方法进行了分析，并概述了各计算方法的特点；然后对切削功率指数公式模型和比切削力模型进行了试验研究，分析并比较了两种模型在不同切削参数条件下的计算精度，在此基础上，提出了切削功率的综合计算方法，包括切削功率的综合计算模型及模型系数的获取方法；最后结合实际需要，建立了基于该综合模型的应用支持系统。误差分析和实验研究结果表明，该方法具有相对较低的计算误差，可为机械加工系统能量效率相关研究和应用提供方法支持，具有较好的应用前景。
机械制造工艺机电一体化机械学
切削功率能量效率计算方法机械加工
邱行,刘飞,谢俊.一种机械加工过程切削功率的综合计算方法[EB/OL].(2016-05-16)[2025-09-26].http://www.paper.edu.cn/releasepaper/content/201605-399.点此复制
Studies on energy efficiency for machine tools and manufacturing systems are rapidly emerging. The key of energy efficiency acquisition is how to obtain effective energy or cutting power of machining process. At present, there are two main methods to determine the cutting power of machining process: Measuring cutting power by equipment, which is difficult to implement at processing sites; Acquiring cutting power through calculation methods which are practical and feasible but with low accuracy. To solve this problem, this paper presented an integrated calculation method to determine the cutting power which is capable of improving the precision of the calculating results. In order to analyze the cutting power, the characteristic of energy consumption of machining process is analyzed at first. Experimental research of exponential cutting force (ECF) model and specific cutting force (SCF) model for acquiring cutting power in turning with different cutting parameters is done to compare the accuracy of these two models. Based on the results analysis, the integrated method including the acquisition of the comprehensive cutting power model and its coefficients is developed then. Finally, a computing and data storing system is developed based on the integrated method to simplify the calculating procedures and storing cutting power data. The results of a case study indicate that the proposed method predicts cutting power with an accuracy of more than 95% and is able to provide support for energy efficiency research of machining systems and optimize the design of energy-saving machine tool.
cutting powerenergy efficiencycalculation methodmachining
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