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Online since: October 2012
Authors: Donato Cancellara, Fabio de Angelis
[4] Fajfar, P., Capacity spectrum method based on inelastic demand spectra, Earthquake Engineering & Structural Dynamics, Vol. 28, Issue 9, (1999), pp. 979-993
[21] De Angelis, F., An internal variable variational formulation of viscoplasticity, Computer Methods in Applied Mechanics and Engineering, Vol. 190, n. 1-2, (2000), pp. 35-54
Journal for Multiscale Computational Engineering, Vol. 5, n. 2, (2007), pp. 105-116
[28] De Angelis, F., Cancellara, D., Implications due to different loading programs in inelastic materials, Advanced Material Research, Vol. 422, (2012), pp. 726-733
[29] De Angelis, F., Cancellara, D., Results of distinct modes of loading procedures in the nonlinear inelastic behavior of solids, Advanced Material Research, Vol. 482-484, (2012), pp.1004-1011.
Online since: December 2014
Authors: Swarndeep Singh, Rupinder Singh, Simranpreet Singh Gill
Moreover, these advanced materials have the potential performance to perform better under severe service conditions such as, higher speed and load which are increasingly being encountered in modern tribo-components.
Yakuphanoglu, The Effects of Particle Size and Volume Fraction of Al2O3 on Electronic Thermal Conductivity of Al2O3 Particulate Reinforced Aluminum Composites (Al/ Al2O3-MMC), International Journal of Advanced Manufacturing Technology 29 2006 226–229
Forum 751 2013 21-26
Gaindhar, Quality of V- Process Moulds Through Taguchi’s Technique, Quality and Reliability Engineering International Journal 12 1996 421–427
Gaindhar, Off-Line Quality Control for V-Process Castings, Quality and Reliability Engineering International Journal 11 1995 175–181
Online since: February 2024
Authors: Mosbah Zidani, Tahar Saadi, Nabil Bensaid, Mohamed Farid Benlamnouar, Riad Badji, Mohammed Oubelkacem Azzoug
This method is focused on advanced analysis of mathematical matrix rather than using simulation methods.
Materials Science and Engineering A 532 (2012) 476-479
Materials Science and Engineering A 528 (2011) 2889-2894
Materials Science and Engineering A194 (1995) 187-191
Engineering Failure Analysis 116 (2020), 104754
Online since: October 2025
Authors: Emmanuel Rotimi Sadiku, Williams K. Kupolati, Linda Moipone Teffo, Anthony O. Ogunmefun
Materials Science and Engineering: A, 2020. 774: p. 138920
The International Journal of Advanced Manufacturing Technology, 2024. 130(7): p. 3649-3660
Advanced Engineering Materials, 2024. 26(23): p. 2401392
Materials Science and Engineering: A, 2021. 801: p. 140415
[30] Randhawa, K.S., Advanced ceramics in energy storage applications: Batteries to hydrogen energy.
Online since: March 2018
Authors: Jamaliah Idris, Taoheed Olohunde Sadiq, sulaiman Olawore
Advances in Life Cycle Engineering for Sustainable Manufacturing Businesses, Springer, 2007, pp: 311-316
Advanced Materials Research, 2014, 974: 126-131
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2014
The International Journal of Advanced Manufacturing Technology, 2015a
Frontiers of Mechanical Engineering, 2012, 7(3): 231-246.
Online since: May 2017
Authors: Stepan N. Nikitin, Boris A. Tarasov, Dmitry P. Shornikov, Maria S. Tarasova, Igor I. Konovalov
Modeling of interaction layer growth between U-Mo particles and an Al matrix, Nuclear Engineering and Technology 45 (2013) 827-838
Progress in advanced structural and functional materials design.
[20] Nagase T., Advanced materials design by irradiation of high energy particles, in: Progress in Advanced Structural and Functional Materials Design, Ed., T.
[21] Rätzke K., Klugkist P., Faupel F., On the role of thermal defects in diffusion in metallic glasses, Defect and Diffusion Forum, Trans Tech Publications 165 (1999) 43-52
Online since: January 2003
Authors: Tamás Réti, Balázs Verő, Lino Costa, Rui Vilar, Zoltán Kálazi, Rogerio Colaço, Imre Felde
The simple mathematical formulae obtained by regression analysis of the experimental data, can easily be used by engineers, as an aid in the optimisation of cladding conditions simplifying the use of this technology in industrial applications.
Forum Vol. 301 (1999), p. 229
Rappaz: A computer study of the laser cladding process, in Modeling of casting, welding and advanced solidification processes, M.
Online since: October 2023
Authors: Guzman Domínguez-Domínguez, Marcelo Romero, Manuel Oliva, Domingo Morales-Palma, Fernando Mas
Engineering Science and Technology, an International Journal. 22 (2019), 899–919
Briceno (Eds.), Complex Systems Engineering: Theory and Practice, American Institute of Aeronautics and Astronautics, 2019, pp. 175-200
De Santa-Eulalia, Simulation in Industry 4.0: A State-of-the-Art Review, Computers and Industrial Engineering. 149 (2020) 106868
Olmos, iDMU as the Collaborative Engineering engine: Research experiences in Airbus, International Conference on Engineering, Technology and Innovation (ICE). 1 (2014) 1-7
Barreda, Enhanced Assembly Line Balancing and Scheduling Methodology for the Aeronautical Industry, Procedia Engineering. 132 (2015) 990-997
Online since: January 2017
Authors: Yan Chen, Pascal Kany Prud’ome Gamassa
[19] Xue-liang SHI, The Application of Grey GM (1,1) Model In Forecast Of Regional Logistics Scale, International Conference of Logistics Engineering & Management, 2012, pp. 178-182
Y., Logistics Demand Forecast Based on Gray System Theory, International Conference on Transportation Engineering, 2007, pp. 3443-3451
[25] Jiaxin Liu, Guofang Li, Establishment and Application of a Grey Forecasting Model, Fifth International Conference on Transportation Engineering, trid.trb.org, 2015, pp. 611-616
Thampi, Forecasting Cloud Computing using Double Exponential Smoothing Methods, International Conference on Advanced Computing and Communication Systems, IEEEXplore, 2015, pp. 1-5
[32] Chen Feiyan, Li Qian, Liu Junhong, Zhang Jiuyong, Variable smoothing parameter of the double exponential smoothing forecasting model and its application, International Journal of Advanced Mechatronic Systems, IEEEXplore, 2012, pp. 386-388
Online since: November 2012
Authors: Donato Cancellara, Fabio de Angelis
NCEER-93-0020, National Center for Earthquake Engineering Research, Buffalo, N.Y., (1993)
Journal for Multiscale Computational Engineering, Vol. 5, n. 2, pp. 105-116, (2007)
Pasquino, The consequence of different loading rates in elasto/viscoplasticity, Procedia Engineering, Vol. 10, pp. 2911-2916, (2011)
Cancellara, Implications due to different loading programs in inelastic materials, Advanced Material Research, Vol. 422, pp. 726-733, (2012)
Cancellara, Results of distinct modes of loading procedures in the nonlinear inelastic behavior of solids, Advanced Material Research, Vol. 482-484, pp.1004-1011, (2012).
Showing 5371 to 5380 of 6113 items