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Impedance-Based PZT Transducer and Fuzzy Logic to Detect Damage in Multi-point Dressers

机译:基于阻抗的PZT传感器和模糊逻辑,以检测多点梳妆台损坏

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Alternative techniques such as impedance-based lead zirconate titanate (PZT) transducers has emerged as an innovative approach for manufacturing monitoring process, because its flexibility of using low-cost piezoelectric diaphragms and its simple methodology in terms of apparatus by using the electromechanical impedance (EMI). In addition, this technique has been under several improvements due to the advance of artificial intelligent systems. On this point, the use of fuzzy logic systems has been reported in literature as an attractive combination to improve the process performance. Therefore, this study proposes an approach to detect damage in multi-point dresser based on EMI technique incorporating a fuzzy logic system. To this end, a fuzzy model is built considering the information obtained from representative damage indices corresponding to the different damage cases that are generated at the dresser. At the end, authors expected that the dressing operation can be optimized, preventing the operation from being performed with worn or damaged dressers and ensuring quality standards and precision to the grinding process, which have a high benefit to the manufacturing chain.
机译:替代技术,例如基于阻抗的锆钛酸钛酸盐(PZT)换能器被出现为制造监测过程的创新方法,因为它通过使用机电阻抗(EMI的装置,在设备方面使用低成本压电隔膜和其简单方法的灵活性(EMI )。此外,由于人工智能系统的进展,该技术一直在若干改进。在这一点上,在文献中报告了模糊逻辑系统的使用作为有吸引力的组合,以提高过程性能。因此,本研究提出了一种基于包含模糊逻辑系统的EMI技术来检测多点梳妆台损坏的方法。为此,考虑到从对应于梳妆台生成的不同损伤案例的代表性损坏指数获得的信息,建立模糊模型。最后,作者预计可以优化敷料操作,防止操作用磨损或损坏的梳妆台进行,并确保对磨削过程的质量标准和精确度,对制造链具有很高的益处。

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