Cutting tool vibration energy harvesting for wireless sensors applications

Abstract This paper presents a method of cutting tool vibration energy harvesting for wireless applications, the created devices and the results of the accomplished experiments. The proposed high frequency piezo generator assures energy harvesting, accumulation and appropriateness for wireless sensors applications. The proposed architecture composed from energy harvesting transducer, energy accumulating capacitor, sensors, microcontroller and RF link opens a way for wireless sensors networks in manufacturing technologies providing the effective integration of information, delivered by sensors of different nature, to achieve a wholesome description of the status of the monitored process. The elaborated algorithm and the created detector could reach no more than 100–150 nA current consumption during capacitor charging. This method makes possible the accumulation of necessary energy during turning tool vibrations. According to the experimental results, the created wireless sensor energy harvester prototype satisfies the energy needs for sensors and is capable of transmitting the information at the distance of 20 m. For cutting tool performance evaluation the limitary moment, when cutting tool starts manufacturing inappropriate quality parts, was defined experimentally and statistically.

[1]  Leo Christodoulou,et al.  Multifunctional material systems: The first generation , 2003 .

[2]  Ann Marie Sastry,et al.  Powering MEMS portable devices—a review of non-regenerative and regenerative power supply systems with special emphasis on piezoelectric energy harvesting systems , 2008 .

[3]  Andreas Zabel,et al.  Optimizing NC-tool paths for simultaneous five-axis milling based on multi-population multi-objective evolutionary algorithms , 2009, Adv. Eng. Softw..

[4]  Henry A. Sodano,et al.  A review of power harvesting using piezoelectric materials (2003–2006) , 2007 .

[5]  Ann Marie Sastry,et al.  POWER (power optimization for wireless energy requirements): A MATLAB based algorithm for design of hybrid energy systems , 2006 .

[6]  Genadijus Kulvietis,et al.  Finite element analysis of piezoelectric microgenerator–towards optimal configuration , 2010 .

[7]  S. Beeby,et al.  Energy harvesting vibration sources for microsystems applications , 2006 .

[8]  Roberto Teti,et al.  Sensor Fusion for Tool State Classification in Nickel Superalloy High Performance Cutting , 2012 .

[9]  Jaehwan Kim,et al.  A review of piezoelectric energy harvesting based on vibration , 2011 .

[10]  Krzysztof Jemielniak,et al.  Advanced monitoring of machining operations , 2010 .

[11]  Roberto Teti,et al.  Tool wear modelling through regression analysis and intelligent methods for nickel base alloy machining , 2011 .

[12]  G. Ghibaudo,et al.  Low-Frequency Series-Resistance Analytical Modeling of Three-Dimensional Metal–Insulator–Metal Capacitors , 2007, IEEE Transactions on Electron Devices.

[13]  Helmut Seidel,et al.  A new approach for MEMS power generation based on a piezoelectric diaphragm , 2008 .

[14]  Action Nechibvute,et al.  Piezoelectric Energy Harvesting Devices: An Alternative Energy Source for Wireless Sensors , 2012 .

[15]  Jan M. Rabaey,et al.  A study of low level vibrations as a power source for wireless sensor nodes , 2003, Comput. Commun..

[16]  S. Priya,et al.  Multimodal system for harvesting magnetic and mechanical energy , 2008 .