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Open access

Żaneta Anna Mierzejewska and Zbigniew Oksiuta

. (1980), Current Concept Review Causes of Fractures of the Femoral Component in Total Hip Replacement, Journal of Bone and Joint Surgery, Vol. 62 (4), Vol. 62(4), 670-673. 5. Griza S., Vieira dos Santos S., Ueki M. M., Bertoni F., Strohaecker T.R. (2013), Case study and analysis of a fatigue failure in a THA stem, Engineering Failure Analysis, 28, 166-175. 6. HernandezRodriguez M. A. L., OrtegaSaenz J. A., CotrerasHernandez G. R. (2010), Failure analysis of a total hip prosthesis implanted in active patient, Journal of the Mechanical

Open access

Włodzimierz Balicki, Paweł Głowacki, Stefan Szczecinski, Ryszard Chachurski and Jerzy Szczeciński

Abstract

The paper presents how the parameters defining the state of the atmosphere: pressure, temperature, humidity, are affecting performance of the aircraft turbine engines and their durability. Also negative impact of dust pollution level is considered as an important source of engine deterioration. Article highlights limitation of the aircraft takeoff weight (TOW) and requirements for length of the runways depending on weather condition changes. These problems stem from the growing “demand” of gas turbine engines for an air. The highest thrust engines have air mass flow more than 1000 kg/s. Engine inlet ice formation is presented as a result of weather conditions and inlet duct design features.

Open access

Santhosh K. Venkata and Bhagya R. Navada

Abstract

In this paper, implementation of soft sensing technique for measurement of fluid flow rate is reported. The objective of the paper is to design an estimator to physically measure the flow in pipe by analysing the vibration on the walls of the pipe. Commonly used head type flow meter causes obstruction to the flow and measurement would depend on the placement of these sensors. In the proposed technique vibration sensor is bonded on the pipe of liquid flow. It is observed that vibration in the pipe varies with the control action of stem. Single axis accelerometer is used to acquire vibration signal from pipe, signal is passed from the sensor to the system for processing. Basic techniques like filtering, amplification, and Fourier transform are used to process the signal. The obtained transform is trained using neural network algorithm to estimate the fluid flow rate. Artificial neural network is designed using back propagation with artificial bee colony algorithm. Designed estimator after being incorporated in practical setup is subjected to test and the result obtained shows successful estimation of flow rate with the root mean square percentage error of 0.667.