Dr Lei Chen

Dr Lei Chen
 Position Senior Lecturer
 Org Unit Mechanical Engineering
 Email lei.chen@adelaide.edu.au
 Telephone +61 8 8313 5469
 Location Floor/Room 3 ,  Engineering South ,   North Terrace

  • Publications

    Tang D, Chen L, Tian Z, Hu E, (2019) Modified value-function-approximation for synchronous policy iteration with single-critic configuration for nonlinear optimal control. International Journal of Control, DOI: 10.1080/00207179.2019.1648874

    Ahamed, R, Ghomashchi, R, Xie, Z, Chen, L (2019), Powder Metallurgy Synthesis of Heusler Alloys: Effects of Process Parameters, Materials, vol. 12, 1596./10.3390/ma11060988.

    Tang D., Chen L., Tian Z and Hu E., (2019), Developing a virtual stiffness-damping system for airfoil aeroelasticity testing, Journal of Sound and Vibration, 2019, 

    Ahamed, R, Ghomashchi, R, Xie, Z, Chen, L, Munroe, P & Xu, S (2018), Powder processing and characterisation of a quinary Ni-Mn-Co-Sn-Cu Heusler alloy, Powder Technology, vol. 324, pp. 69-75.

    Sadighi Dizaji Hamed, Hu Eric, Chen Lei, (2018) Development and validation of an analytical model for perforated (multi-stage) regenerative M-cycle air cooler, Applied Energy 228:2176-2194, http://doi.org/10.1016/j.apenergy.2018.07.018.

    Ahamed, R, Ghomashchi, R, Xie, Z, Chen, L (2018), Ferromagnetic Shape Memory Heusler Materials: Synthesis, Microstructure Characterization and Magnetostructural Properties’, Materials, vol. 11, 988.

    Sadighi Dizaji Hamed, Hu Eric, Chen Lei, (2018) A comprehensive review of the Maisotsenko-cycle based air conditioning systems, Energy 156 (2018), https://doi.org/10.1016/j.energy.2018.05.086.

    Tang D, Chen L, Tian Z, Hu E, (2018) Adaptive nonlinear optimal control for active suppression of airfoil flutter via a novel neural-network-based controller, Journal of Vibration and Control, January 2018,DOI: 10.1177/1077546317750504

    Qin J, Hu E, Nathan GJ, Chen L, (2017) Concentrating or non-concentrating solar collectors for solar Aided Power Generation?, Energy Conversion and Management, Vol:152 pp:281-290, Nov 2017. https://doi.org/10.1016/j.enconman.2017.09.054

    Mirsepahi A., Chen L., and O'Neill B., (2017), An Artificial Intelligence Solution for Heat Flux Estimation using Temperature History; A Two-Input/Two-Output Problem, Journal of Chemical Engineering Communications, 2017, 204(3), pp.289-294. http://dx.doi.org/10.1080/00986445.2016.1253008. ePrint download:

    Mirsepahi A., Mehdizadeh A, Chen L., O'Neill B., and Mohammadzaheri M., (2017), Comparison of inverse modelling and optimization-based methods in the heat flux estimation problem of an irradiative dryer/furnace, Journal of Computational Science, http://dx.doi.org/doi:10.1016/j.jocs.2017.01.007.

    Tang D., Chen L., Hu E., and Tian Z. (2016), A Novel Actuator Controller: Delivering a Practical Solution to Realization of Active-Truss-Based Morphing Wings, IEEE Transactions on Industrial Electronics, 2016, doi: 10.1109/TIE.2016.2580520.

    Wu, Jun Wei; Chen, Lei; Hu, Eric, (2016), Performance estimation of adsorption cooling cycle with sorption hysteresis, Journal of Applied Thermal Engineering, 105, pp 159-162. http://dx.doi.org/10.1016/j.applthermaleng.2016.05.154.

    Huang H., Chen L., and Hu E., (2015), A neural network-based multi-zone modelling approach for predictive control system design in commercial buildings, Energy and Buildings, Vol. 97,  2015, Pages 86-97. doi: 10.1016/j.enbuild.2015.03.045

    Huang H., Chen L., and Hu E., (2015), A new model predictive control scheme for energy and cost savings in commercial buildings: An airport terminal building case study, Building and Environment, Vol. 89, 2015, Pages 203-216. doi: 10.1016/j.buildenv.2015.01.037

    Wu, Jun Wei; Madani, S. Hadi; Biggs, Mark; Pendleton, Phillip; Chen, Lei; Hu, Eric, (2015), Characterizations of Activated Carbon - Methanol Adsorption Pair Including the Heat of Adsorptions, Journal of Chemical & Engineering Data,  60 (6), pp 1727-1731.

    Miri, N, Mohammadzaheri M., and Chen L., (2015), An Evolutionary Approach to Physics-Based Modelling of Piezoelectric Actuators, Supported by a Critical Review and Experimental Results, Journal of Mechanical Engineering and Automation, Volume 2, Number 8, 2015, pp. 335-347.

    Mohammadzaheri M., Chen L., Ali Mirsepahi, Mehdi Ghanbari, and Reza Tafreshi, (2014), Neuro-Predictive Control of an Infrared Dryer with a Feedforward-Feedback Approach, Asian Journal of Control, NOV 2014, DOI: 10.1002/asjc.1038.

    Miri, N,  and Chen L., (2014), An Enhanced Physics-based Model to Estimate the Displacement of Piezoelectric Actuators, Journal of Intelligent Material Systems and Structures, Published online before print August 11, 2014, doi: 10.1177/1045389X14546648.

    Mirsepahi A., Chen L., and O'Neill B., (2014), A comparative approach of inverse modelling applied to an irradiative batch dryer employing several artificial neural networks, International Communications in Heat and Mass Transfer, Volume 53, April 2014, pp. 164-173.

    Mirsepahi A., Chen L., and O'Neill B., (2013), A comparative artificial intelligence approach to inverse heat transfer modeling of an irradiative dryer, International Communications in Heat and Mass Transfer, Volume 41, February 2013,pp.19-27.

    Chen L. (2012), Distributed hybrid vibration absorbers for shock and forced vibrations茂录聦Applied Mechanics and Materials Vols. 166-169, pp 1709-1712.

    Huang H., Chen L., Mohammadzaheri M., and Hu E., (2012), A new zone temperature predictive modeling for energy saving in buildings, Procedia Engineering Vol. 49C pp. 144-153.

    Mirsephai A., Mohammadzaheri M., Chen L., and O'Neill B., (2012), An artificial intelligence approach to inverse heat transfer modelling of an irradiative dryer, International Communications in Heat and Mass Transfer, Vol.39, No.1, pp.40-45

    Chen L, Askarian S, Mohammadzaheri M, and Samadi F,, (2011), Simulation and experimental study of Inverse Heat Conduction Problem, Advanced Materials Research, V. 233-235, pp 2820-2823.

    Mohammadzaheri M., Chen L., and Grainger S., (2011), A critical review of the most popular types of neuro control, Asian Journal of Control, Volume 14, Issue 1, January 2012, Pages: 1–11.

    Mohammadzaheri M. and Chen L., (2011), Intelligent control of a nonlinear tank reactor, Asian Journal of Control, Volume 13, Issue 3, 2011, Pages: 1-5.

    Mohammadzaheri M. and Chen L., (2010), Double-command feedforward-feedback control of a nonlinear plant, Korean Journal of Chemical Engineering V27: 1372-1376.

    Mohammadzaheri M. and Chen L., (2010), Intelligent predictive control of a model helicopter's yaw angle, Asian Journal of Control, Volume 12, Issue 6, November 2010, Pages: 667–679.

    Mohammadzaheri M. and Chen L., (2010), Double-command fuzzy control of a nonlinear CSTR, Korean Journal of Chemical Engineering V27: 19-31.

    Chen L., He F., and Sammut K., (2009), Vibration Suppression of A Principal Parametric Resonance, Journal of Vibration and Control; Vol. 15, No. 3, pp.439-463.

    Mohammadzaheri M., Chen L., Ghaffari A., Will J., (2009), A Combination of Linear and Nonlinear Activation Functions in Neural Networks for Modelling a De-superheater, Simulation Modelling Practice and Theory, Volume 17, Issue 2,February 2009,pp. 398-407.

    Mohammadzaheri M. and Chen L., (2009), Design and Stability Discussion of an Hybrid Intelligent Controller for an Unordinary System, Asian Journal of Control, Volume 11, Issue 5, Pages: 476–488.

    Mohammadzaheri M. and Chen L., (2008), Hybrid Neuro-Predictive-Fuzzy Algorithm for a Model Helicopter's Yaw Angle Control, Engineering Letters, Volume 16 Issue 1, pp. 18-26.

    Chen L., Hansen C., He F., and Sammut K., (2007), Active nonlinear vibration absorber design for flexible structures, International Journal of Acoustics and Vibration, Vol. 12, No. 2, pp. 51-59.

     

  • Professional Interests

    Vibration and Noise Analysis and Control, Smart Materials and Structures, Robotics, Sustainable Energy Technology, Building Management Systems, HVAC Applications and Control, Artificial Intelligent Systems.

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Entry last updated: Thursday, 12 Jan 2023

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