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首页> 外文会议>FAIM(Flexible Automation and Intelligent Manufacturing) 2005 vol.1 >NC Machining Time Estimation of Sculptured Surfaces Using NC Block Distribution
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NC Machining Time Estimation of Sculptured Surfaces Using NC Block Distribution

机译：使用NC块分布估计雕刻表面的NC加工时间

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摘要

The estimation of NC machining time is significant because it provides manufacturing engineers with information to accurately determine productivity, as well as production schedules. The NC machining time commonly depends on NC programs, since they contain various and important information, such as tool positions, feed and speed rates, and other miscellaneous instructions. Thus, nominal NC machining time can easily be acquired based on the program. Actual machining time, however, cannot simply be obtained due to the dynamic characteristics of a NC machine controller, such as acceleration and deceleration. Hence, this study presents an NC machine time estimation model for machining sculptured surfaces, and considers the dynamic characteristics of NC machines. The proposed estimation model uses factors, such as the distribution of NC blocks, angle between blocks, federate, acceleration and deceleration constants, to classify tool feed rate patterns into four types based on the acceleration and deceleration type, NC block length, and minimum feed rate. However, there typically exists an error for the actual machining time due to a lack of the equipment, or tools to measure an exact minimum feed rate. This paper addresses an investigation of the error caused by an inaccurate minimum feed rate, using NC block distribution. This study indicates that the proposed machining time estimator performs at around 10% of the mean error.
机译：数控加工时间的估算意义重大，因为它可以为制造工程师提供准确确定生产率以及生产计划的信息。 NC加工时间通常取决于NC程序，因为它们包含各种重要信息，例如刀具位置，进给和速度速率以及其他其他指令。因此，可以根据程序轻松获取标称NC加工时间。但是，由于数控机床控制器的动态特性（例如加速和减速），不能简单地获得实际的加工时间。因此，本研究提出了用于加工雕刻表面的数控机床时间估计模型，并考虑了数控机床的动态特性。所提出的估计模型使用诸如NC块的分布，块之间的角度，联邦，加速和减速常数等因素，根据加速和减速类型，NC块长度和最小进给将刀具进给速率模式分为四种类型。率。但是，由于缺少设备或测量精确最小进给速度的工具，实际加工时间通常存在误差。本文使用NC程序段分配解决了由最小进给速度不正确引起的错误调查。这项研究表明，建议的加工时间估算器的平均误差约为10％。

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