Search Results

You are looking at 1 - 10 of 54 items for :

  • physical tests x
  • Atmospheric Science and Climatology x
Clear All
Open access

Lech Bałachowski

, Issue 4 , pp.1021-1048. http://link.springer.com/10.1007/s10518-012-9411-6 14. Dymarski C., Dymarski P.: Developing Methodology for Model Tests of Floating Platforms in Low -Depth Towing Tank. Archives of Civil and Mechanical Engineering, 2016, Vol. 16, Issue 1, pp. 159-167 15. Garnier, J., Gaudin, C., Springman, S. M., Culligan, P. J., Goodings, D., Konig, D., ... & Thorel, L. : Catalogue of scaling laws and similitude questions in geotechnical centrifuge modelling. International Journal of Physical Modelling in Geotechnics, 2007, 7

Open access

Zbigniew Korczewski and Konrad Marszałkowski

BIBLIOGRAPHY 1. Cannon R.H. (2003). Dynamics of physical systems. New York, Dover Publication. 2. Cempel C., Natke H.G. (2012). Model-aided diagnosis of mechanical systems: Fundamentals, detection, localization, assessment. Springer Science & Business Media. 3. Cichy M. (2001). Modelling of energy systems (in Polish). Gdansk, Wydawnictwo Politechniki Gdańskiej. 4. Dragantchev H. (2000). Control and diagnostics of ship shafting. Proceedings of the IMAM 2000, Ischia, 2–6 April, Session L, s. 115–122. 5. Girtler J. (2013). A method to

Open access

Changsong Yang and Qi Wang

Abstract

Large errors of low-cost MEMS inertial measurement unit (MIMU) lead to huge navigation errors, even wrong navigation information. An integrated navigation system for unmanned vessel is proposed. It consists of a low-cost MIMU and Doppler velocity sonar (DVS). This paper presents an integrated navigation method, to improve the performance of navigation system. The integrated navigation system is tested using simulation and semi-physical simulation experiments, whose results show that attitude, velocity and position accuracy has improved awfully, giving exactly accurate navigation results. By means of the combination of low-cost MIMU and DVS, the proposed system is able to overcome fast drift problems of the low cost IMU.

Open access

Piotr Bzura

&TURBO. Ship Power Product Catalogue, Wärtsilä. Szczerek M., Tuszyński W.: Tribological tests. Seizing. Radom: Biblioteka Problemów Eksploatacyjnych 2000.

Open access

Witold Gierusz and Andrzej Łebkowski

.: The verification of the control systems with the physical ship models (in polish) Zeszyty Naukowe Akademii Morskiej w Gdyni, 2009. 8. 2012 www.furuno.pl 9. 2012 www.hemispheregps.com 10. 2007, www.torqeedo.fi 11. 2012, www.vetus.nl 12. 2012 www.gill.co.uk

Open access

Qinxi Li, Shuping Jiang and Xiang Chen

. Oh, W. S. Park, S. C. Jang, D. H. Kim, and H. D. Ahn, Physical experiments on the hydrodynamic response of submerged floating tunnel against the wave action, Hasanuddin University Press, 2013. 14. S. I. Seo, H. S. Mun, J. H. Lee, and J. Kim, Simplified analysis for estimation of the behavior of a submerged floating tunnel in waves and experimental verification, Marine Structures, Vol. 44, pp. 142-158, 2015. 15. Y. Hong, and F. Ge, Dynamic response and structural integrity of submerged floating tunnel due to hydrodynamic load and

Open access

Sanja Bauk, Anke Schmeink and Joan Colomer

Abstract

The paper proposes two Wireless Body Area Network Sensors (WBANSs) scenarios at the logical and simulation levels for improving occupational safety and health conditions at the developing seaport environment. The Port of Bar (Montenegro) is taken as an exemplar. The logical model is based on the actual position of the Port of Bar at the seaport market, its needs and capacities for the information systems innovation through technology transfer and diffusion. The simulation model analyses the channel between the body central unit (BCU) of the worker’s on port wireless body sub-network and the port access point. The quality of the signal transmission at the physical layer has been tested through a source code generated in the Matlab. The code includes the BCU composite signal modulation, transmission, and demodulation, along with a noise and fading effects analysis. The results of the simulation experiments for the different transmission frequencies and distances between transmitter (worker’s BCU) and receiver (port’s access point) by using binary phase-shift keying (BPSK) and quadratic phase-shift keying (QPSK) modulation schemes are presented. Some directions for further investigations in this field are given, as well.

Open access

Marcin Zastempowski and Andrzej Bochat

BIBLIOGRAPHY 1. Bochat A., Grzonkowski R., Zastempowski M.: Analysis of plant stalk cutting and a novel cutting drum unit (in Polish). Inżynieria i Aparatura Chemiczna, No.1-2/2005. 2. Bohdal l., Kukiełka L.: Application of variational and FEM methods to the modelling and numerical analysis of guillotining process for geometrical and physical nonlinearity. Mechanika vol. 20, No. 2, 2014. pp. 197-204. 3. Chattopahyay P.S., Pandey K.P.: Mechanical properties of sorghum in relation to quasi-static deformation. Journal of Agricultural Engineering

Open access

Piotr Bzura

BIBLIOGRAPHY 1. Michalczewski R., Szczerek M., Tuszyński W., Wulczyński J.: A four-ball machine for testing anti-wear, extreme-pressure properties, and surface fatigue life with a possibility to increase the lubricant temperature . Tribologia 1/2009, pp.113-127 2. Laber A.: Modifying the operating conditions of friction pairs with solid lubricant based additives. Tribologia 5/2011, pp.137-145 3. Girtler J.: A method for evaluating the performance of a marine piston internal combustion engine used as the main engine on a ship during its

Open access

Eugeniusz Ranatowski

The influence of the constraint effect on the mechanical properties and weldability of the mismatched weld joints

Currently the welding as a technological process is concerned with special processes, the results of which cannot be checked in a complete degree by subsequent control, test of production what finally causes uncertainty of work of welded constructions. The process of welding is related to the local change of the internal energy of welded system and that leads to the local change of state of material expressing by change of microstructure and mechanical properties. This phenomena decide on the assessment of susceptibility of materials under defined welding condition and estimate of the weldability. It is compound relation and the mechanical behaviour of welded joints is sensitive to the close coupling between modules: heat transfer, microstructure evolution an mechanical fields. Welding process in physical meaning it is jointed with three laws govern mass and heat flow the laws of conservation of: mass, momentum and energy. The knowledge of the run of thermo-dynamical process under welding indicates on the possibility of active modelling and control of welding process with use intensive and extensive parameters. As the weld metal cools in the temperature range 2300 to 1800°K, the dissolved oxygen and deoxidising elements in liquid steel react to form complex oxide inclusions of 0.1 to 1 μm size range. In the temperature range 1800 to 1600°K, solidification of liquid to δ ferrite starts und envelops these oxide inclusions. After δ ferrite transforms to austenite in the temperature range 1100 to 500°K, the austenite transforms to different ferrite morphologies such as ferrite: allotriomorphic, Widmanstättena, and acicular. The macro-mechanical heterogeneity of welded structures is one of their primary features. The heterogeneous nature of the weld joints is characterised by macroscopic dissimilarity in mechanical properties. Numerical weldability analysis is a new powerful research and development tool which is useful for metallurgistics technologist and design engineers. Saying strictly the numerical analysis of weldability comprises thermodynamic, thermomechanical and microstructural modelling of the welding process. The result of this analysis is material susceptibility (SU). The fracture resistance of welded joints is mainly characterised by normalised parameters: SU1 = KIth / KIC for cold cracking or in the exploitation condition by SU2 = δ/δC or J/JC, SU1 ≠ SU2. From above-mentioned equations result that does not exist one global parameter which defines the step of susceptibility SU of base materials has been also executed with use of SINTAP program.