Highlights• A wireless sensor node architecture composed from energy harvesting transducer, energy accumulating capacitor, sensors, microcontroller and RF link is proposed and fabricated. • The elaborated algorithm and the created detector could reach no more than 100-150 nA current consumption. • 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 metres. • For cutting tool performance evaluation the limitary moment, when cutting tool starts manufacturing inappropriate quality parts, is defined experimentally and statistically. • The created device opens a way for wireless sensors networks in manufacturing technologies. Graphical abstractVitaeVytautas Ostasevicius graduated from Kaunas University of Technologyengineer mechanic in 1971, doctor of sciencies in 1974, doctor habilitus in 1988. and in industry. His research focuses on electronic system efficiency, energy harvesting, low power management and wireless smart sensors. Mindaugas Cepenas graduated from KaunasUniversity of Technology (KTU) in 2012 with Master's degree in Electrical engineering. Currently, PhD study in Electrical and Electronics Department of Electronics Engineering studies KTU. Research areas -interactive design of microprocessor systems and low-power wireless networks. Laura Kizauskiene is an associate professor at the Department of Computers, and researcher at the Real-time Computer Systems Centre at Kaunas University of Technology. She has gained doctors' degree in Technology Science in 2009. Her main research interests are multi-agent systems, artificial intelligence, wireless sensor networks, embedded real time systems and smart environments. Since 2007, she has been working at Kaunas University of Technology and has participated in several research projects, developing smart house and sensor network technologies. Virginija Gyliene received her License Professional degree (Conception and Fabrication assisted by Computers) from the University of Maine (France) in 2001. She gained a Master degree in Manufacturing Engineering in 2002 and Ph. D. degree in 2007 from KaunasUniversity of Technology. Now, she is the Lecturer in the same University and her research field is numerical and experimental study of cutting processes. AbstractThis 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 a...

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The usage of finite element method techniques gives a possibility to replace time-consuming experiments or imitate physical process in the ear by numerical simulation. Especially, the research of spatial motion of ossicular chain in the middle ear is of high interest for the oto-surgeons and engineers. It is known that the most affected bone from the ossicular chain is the incus. After the cholesteatoma operation and tympanoplasty, the affected incus is removed or sacrificed; thus, the possibility of transducing noise lays on the stapes, new titanium or other material prosthesis. In this case, the affected incus was removed because of the cholesteatoma that was lying in front of it in the tympanic cavity. The removed incus with the affected long process passed micro–computed tomography. The computer-aided design systems allowed redesigning a ‘healthy’ incus with an intact long process. In this way, it was possible to evaluate the influence of damaged long process of incus in the vibrational analysis. This article analyses the problems of mechanical behaviour of injured and healthy human incus. The numerical simulation has demonstrated that the features of healthy incus and analysed injured incus do not differ significantly, especially at low (about 500 Hz) frequencies. It explains why there is no impact of cholesteatoma on hearing for a long time in the audiogram.