Modelling and optimization of grinding processes
Modelling and optimization of grinding processes
复制标题
磨削过程的建模和优化
DOI：
10.1023/a:1008908724050
复制
发表时间：
1998
影响因子：
8.3
通讯作者：
C. Heinzel
中科院分区：
文献类型：
--
作者：
E. Brinksmeier;H. Tönshoff;C. Czenkusch;C. Heinzel
本文介绍了不同的方法建模和优化磨削过程。首先，必须测量过程和产品质量特征量。之后，不同的模型类型，例如，物理经验的基本研磨模型，以及经验的过程模型的基础上，神经网络，模糊集理论和标准的多元回归方法，讨论了离线过程概念化和优化使用遗传算法。采用目标树法建立遗传算法种群中的个体，对磨削加工结果进行评价。所提出的方法被集成到现有的磨削信息系统，这是一个三控制回路系统的质量保证的一部分。
The paper describes different methods for modelling and optimization of grinding processes. First the process and product quality characterizing quantities have to be measured. Afterwards different model types, e.g. physical–empirical basic grinding models as well as empirical process models based on neural networks, fuzzy set theory and standard multiple regression methods, are discussed for an off-line process conceptualization and optimization using a genetic algorithm. The assessment of grinding process results, which build the individuals in the genetic algorithm's population, is carried out using a target tree method. The methods presented are integrated into an existing grinding information system, which is part of a three control loop system for quality assurance.