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Wear Calculation for Sliding Friction Pairs


One of the principal objectives of modern production process is the improvement of quality level; this means also guaranteeing the required service life of different products and increase in their wear resistance. To perform this task, prediction of service life of fitted components is of crucial value, since with the development of production technologies and measuring devices it is possible to determine with ever increasing precision the data to be used also in analytical calculations. Having studied the prediction theories of wear process that have been developed in the course of time and can be classified into definite groups one can state that each of them has shortcomings that might strongly impair the results thus making unnecessary theoretical calculations. The proposed model for wear calculation is based on the application of theories from several branches of science to the description of 3D surface micro-topography, assessing the material’s physical and mechanical characteristics, substantiating the regularities in creation of the material particles separated during the wear process and taking into consideration definite service conditions of fittings.

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Evaluation of Signal Regeneration Impact on the Power Efficiency of Long-Haul DWDM Systems

References 1. Iyer, S., & Singh, S.P. (2016). Spectral and power efficiency investigation in single- and multi-line-rate optical wavelength division multiplexed (WDM) networks. Photonics Network Communications. doi: 10.1007/s11107-016-0618-3 2. Keiser, G. E. (1998). A review of WDM technology and applications. GTE Systems & Technology, 21. 3. Pavlovs, D., Grinčišins, A., Bobrovs, V., Gavars, P., & Ivanovs, Ģ. (2016). Research of 10 Gbps NRZ-OOK signal spectral and energy efficiency. In Proc. ELECTRONICS 2016

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Optimising the Yield of Energy from Biomass by Analytical Models of the Rate of Growth

References Gravitis, J., & Abolins, J. (2010). Sustainable supply of energy from biomass. Latv. J. Phys. Tec. Sci., 47 (1), 57-63. Daugavietis, M. (2006). Rate of grey alder growth. Grey Alder in Latvia , Silava, 90-96 (in Latvian). Daugavietis, M., Bisenieks, J., & Daugaviete, M. (2009). The interconnections of valuation characteristics of grey alder stands. Substantiation of Deciduous Trees Cultivation and Rational Utilisation, New Products and Technologies , Latvian State

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Optimization of Control Processes of Digital Electrical Drive Systems

Electrical Technology , R. A. Sci., (2), 34-42. Dochviri, J., Dochviri, I., & Shinjikashvili, I. (2007). Dynamics of AC electrical drive under frequency regulation with digital control. Technical Electrodynamics , Nat. Acad. Sci. of Ukraine, (1) 40-47.

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Tribological Properties of PVD Ti/C-N Nanocoatnigs

REFERENCES 1. Cheng, Y., & Zheng, Y.F. (2007). Characterization of TiN, TiC and TiCN coatings on Ti–50.6 at.% Ni alloy deposited by PIII and deposition technique. Surface and Coatings Technology, 201 (9–11), 4909–4912. 2. CSM Instruments SA. (2014). Tribometer User Manual R0.1.3a. 3. International Organisation for Standardisation. (2012). LVS EN ISO 25178-2:2012 standard: Geometrical product specifications (GPS) – Surface texture: Areal - Part 2: Terms, definitions and surface texture parameters. 4. Локтев Д., Ямашкин Е. (2007

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Development of Power Supply Management Module for Radio Signal Repeaters of Automatic Metering Reading System in Variable Solar Density Conditions

:// . 7. Low Quiescent Current, Multi-Mode PMIC for Battery Powered, Energy-Harvesting Applications . (2013). Texas Instruments, SLVSBY5B. Available at . 8. Zhang, J., Zhang, L., Liu, H., Sun, A., and Liu, R. (2012). Electrochemical Technologies for Energy Storage and Conversion . John Wiley & Sons, Technology & Engineering. 9. Simpson, C. (2011). Battery Charging , LM2576, LM3420, LP2951, LP2952, Texas Instruments, Literature Number: SNVA557, pp. 1–19.

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Theoretical Analysis of Spacing Parameters of Anisotropic 3D Surface Roughness

. American Society of Mechanical Engineers (2009). Surface Texture (Surface Roughness, Waviness, and Lay). ASME B46.1-2009. 5. Nayak, P. (1971). Random Process Model of Rough Surfaces. Journal of Lubrication Technology, 93 (3), 398–407. 6. Rudzitis, J. (2007). Mechanics of Surface Contact. Part 1. Parameters of Surface Roughness pProfile . Riga: Riga Technical University (in Russian). 7. Kumermanis, M. (2012). Research of 3D Roughness Parameters for Irregular Surfaces of Solid Bodies . Riga: Riga Technical University (in Latvian). 8. Linins, O

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Research of Traffic Management in Fttx Optical Communication Systems

and Web Applications and Services , Le Morne, Mauritius. pp. 48-50. Vukovic, A., Savoie, M., Hua, H., & Maamoun, K. (2007). Performance characterization of PON technologies. Proceedings of the SPIE , 4, 67-96. New FTTH Global Ranking (2008). Fiber-to-the-Home Council. FTTH Worldwide Technology Update & Market Forecast (2008). Heavy Reading. 6 1. Leibrich, J., & Rosenkranz, W. (2002). Efficient numerical simulation of multichannel WDM transmission systems

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Potential of the Lower Daugava for Siting Hydrokinetic Turbines / Daugavas Lejteces Enerģētiskais Potenciāls Hidrokinētisko Turbīnu Izmantošanai

References 1. Kari Sųrnes (January 2010). Small-scale Water Current Turbines for River Applications; ZERO - Zero Emission Resource Organisation; 2. Khan, M.J., Bhuyan, G., Iqbal, M.T., & Quaicoe, J.E. (2009). Hydrokinetic energy conversion systems and assessment of horizontal and vertical axis turbines for river and tidal applications: A technology status review. Applied Energy, 95 (6), 35-51. 3. Khan, M.J., Iqbal, M.T., & Quaicoe, J.E. (2008). River current energy conversion systems

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Research into the 3d roughness of a rough surface

University of Technology. 3. Whitehouse, D.J., & Archard, J.F. (1957). The properties of random surfaces of significance in their contact. Proc. R. Soc. (London), 316A, pp. 97 - 121). 4. Williamson, J.B.P. (1969). The shape of solid surface. Surface Mechanics, Proceedings of the ASME Annual Winter Meeting, Nov., 16 - 20. 5. Johnson, K.L. (2003). Contact Mechanics (9th ed-n). Cambridge: Cambridge University Press (UK). 6. Nayak, P.R. (1970). Random process model of rough surface. J. Lubrication Technology, Nov

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