Automatic Selection of Optimal Parameters Based on Simple Soft-Computing Methods: A Case Study of Micromilling Processes

la Fe-Perdomo Ivan; Beruvides Gerardo; Quiza Ramon; Haber Rodolfo; Rivas Marcelino

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Automatic Selection of Optimal Parameters Based on Simple Soft-Computing Methods: A Case Study of Micromilling Processes

机译：基于简单的软计算方法自动选择最佳参数：以微铣削过程为例

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Nowadays, the application of novel soft-computing methods to new industrial processes is often limited by the actual capacity of the industry to assimilate state-of-the-art computational methods. The selection of optimal parameters for efficient operation is very challenging in microscale manufacturing processes, because of intrinsic nonlinear behavior and reduced dimensions. In this paper, a decision-making system for selecting optimal parameters in micromilling operations is designed and implemented using simple and efficient soft-computing techniques. The procedure primarily consists of four steps: an experimental characterization; the modeling of cutting force and surface roughness by means of a multilayer perceptron; multiobjective optimization using the cross-entropy method, taking into account productivity and surface quality; and a decision-making procedure for selecting the most appropriate parameters using a fuzzy inference system. Finally, two different alloys for micromilling processes are considered, in order to evaluate the proposed system: a titanium-based alloy and a tungsten-copper alloy. The experimental study demonstrated the effectiveness of the proposed solution for automated decision-making, based on simple soft-computing methods, and its successful application to a real-life industrial challenge.

机译：如今，新的软计算方法在新的工业过程中的应用通常受到该行业吸收最新计算方法的实际能力的限制。由于固有的非线性行为和减小的尺寸，在微型制造过程中选择有效运行的最佳参数非常具有挑战性。在本文中，使用简单有效的软计算技术设计并实现了一种用于在微铣削操作中选择最佳参数的决策系统。该程序主要包括四个步骤：实验表征；通过多层感知器对切削力和表面粗糙度进行建模；考虑到生产率和表面质量，使用交叉熵方法进行多目标优化；以及使用模糊推理系统选择最合适参数的决策程序。最后，为了评估所提出的系统，考虑了两种用于微铣削工艺的合金：钛基合金和钨铜合金。实验研究证明了基于简单的软计算方法的拟议解决方案自动决策的有效性，并将其成功应用于现实的工业挑战。

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《IEEE transactions on industrial informatics》 |2019年第2期|800-811|共12页
作者
la Fe-Perdomo Ivan; Beruvides Gerardo; Quiza Ramon; Haber Rodolfo; Rivas Marcelino;
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作者单位

Univ Matanzas, Res Ctr Adv & Sustainable Mfg, Matanzas 44740, Cuba;

Automat & Robot Ctr, Madrid 28500, Spain;

Univ Matanzas, Res Ctr Adv & Sustainable Mfg, Matanzas 44740, Cuba;

Automat & Robot Ctr, Madrid 28500, Spain;

Univ Matanzas, Res Ctr Adv & Sustainable Mfg, Matanzas 44740, Cuba;

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正文语种 eng
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Fuzzy inference systems (FIS); knowledge-based; decision-making system; micromachining processes; multiobjective optimization cross-entropy method; neural networks;

机译：模糊推理系统;基于知识的决策系统;微加工过程;多目标优化交叉熵法;神经网络;

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Automatic Selection of Optimal Parameters Based on Simple Soft-Computing Methods: A Case Study of Micromilling Processes

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