Profile
| Keywords: | Energy storage, Flywheel energy storage, Engineering design, Advanced materials, Polymer composites |
Dr. Pierre Mertiny, Professor, is the Director of the Advanced Composite Materials Engineering research group. His research and development work has included a variety industrial collaborations, and consulting and technical service activities, primarily in the field of polymer and polymer composite materials and structures for conventional and renewable energy sector applications. He has been invited on several occasions as a Visiting Professor to the Technische University Munich (Germany). In addition to R&D, Dr. Mertiny is dedicated to excellence in teaching, especially in the areas of solid mechanics and engineering design. In this context he received the SAE Ralph R. Teetor Educational Award, a McCalla Professorship as well as a Vargo Teaching Chair by the University of Alberta, and the Summit Award for Excellence in Education by the Association of Professional Engineers and Geoscientists of Alberta (APEGA). FES Funded ProjectsOutputs
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| Enabling transdisciplinary education for energy systems transitionsT06-P03 University of Alberta | Publication | 2020-01-01 | | | Experimental Characterization of Low-Speed Passive Discharge Losses of a Flywheel Energy Storage SystemT06-P03 University of Alberta | Publication | 2021-01-01 | | | Effects of Viscoelasticity on the Stress Evolution over the Lifetime of Filament-Wound Composite Flywheel Rotors for Energy StorageAPA Citation: Skinner, M., & Mertiny, P. (2021). Effects of Viscoelasticity on the Stress Evolution over the Lifetime of Filament-Wound Composite Flywheel Rotors for Energy Storage. Applied Sciences, 11(20), 9544.T06-P03 University of Alberta | Publication | 2021-10-01 | | | Energy Storage Flywheel Rotors - Mechanical DesignT06-P03 University of Alberta | Publication | 2022-02-28 | | | Investigation of Failure Modes of Fiber Reinforced Polymer Composite Flywheel Rotors for Energy Storage SystemsT06-P03 | Publication | 2022-09-30 | Miles Skinner | | Development and Characterization of Field Structured Magnetic CompositesT06-P03 University of Alberta | Publication | 2021-08-01 | | | Magnetic Filler Polymer Composites - Morphology Characterization and Experimental and Stochastic Finite Element Analyses of Mechanical PropertiesT06-P03 University of Alberta | Publication | 2023-06-01 | Yingnan Wang, Hamidreza Ahmadimoghaddamseighalani, Jorge Alberto Palacios Moreno, Mertiny, P. | | Additive Manufacturing of Magnetically Loaded Polymer Composites: An Experimental Study for Process DevelopmentMaterial jetting is an additive manufacturing technique that allows for the production of three-dimensional solid parts without tooling and with minimum material wastage. In this context, magnetically loaded polymer composites with oriented magnetic particles are promising for many electrical and electronic applications. In this study, permanent magnet based alignment configurations were evaluated and compared in terms of different magnetic flux density using the finite element method. The particle alignment in cured droplet specimens and the stability of magnetically loaded polymer droplets deposited on a substrate were characterized for a material jetting based additive manufacturing process. Particle alignment and droplet deformation under the influence of the magnetic field was captured using real-time optical microscopy. The influence of rheological additives in controlling droplet stability in the magnetic field and mitigating particle settling were studied through experiments. The primary goal of this research was to identify parameters that facilitate high particle alignment, and material combinations that enhance droplet stability and mitigate particle settling. This fundamental research serves to enhance the understanding of processes and material behaviour for material jetting based additive manufacturing.T06-P03 University of Alberta | Publication | 2017-11-03 | | | Design and multi-objective optimization of fiber-reinforced polymer composite flywheel rotorsA multi-objective optimization strategy to find optimal designs of composite multi-rim flywheel rotors is presented. Flywheel energy storage systems have been expanding into applications such as rail and automotive transportation, where the construction volume is limited. Common flywheel rotor optimization approaches for these applications are single-objective, aiming to increase the stored energy or stored energy density. The proposed multi-objective optimization offers more information for decision-makers optimizing three objectives separately: stored energy, cost and productivity. A novel approach to model the manufacturing of multi-rim composite rotors facilitates the consideration of manufacturing cost and time within the optimization. An analytical stress calculation for multi-rim rotors is used, which also takes interference fits and residual stresses into account. Constrained by a failure prediction based on the Maximum Strength, Maximum Strain and Tsai-Wu criterion, the discrete and nonlinear optimization was solved. A hybrid optimization strategy is presented that combines a genetic algorithm with a local improvement executed by a sequential quadratic program. The problem was solved for two rotor geometries used for light rail transit applications showing similar design results as in industry.T06-P03 University of Alberta | Publication | 2018-07-30 | | | Characterization of magnetic particle alignment in photosensitive polymer resin: A preliminary study for additive manufacturing processesMaterial jetting 3D printing is an additive manufacturing technique that allows producing complex parts without tooling and minimum material wastage. In this study, orientation control of randomly shaped, anisotropic hard magnetic ferrite particles is demonstrated for material jetting-based additive manufacturing processes using a developed particle alignment configuration. Strontium ferrite and PR-48 photosensitive resin were used as the base materials. An automated experimental setup with two neodymium permanent cube magnets capable of generating a dipolar magnetic field was built to align magnetic particles in the resin. Particle alignment was characterized for directionality using images obtained through real time optical microscopy. The orientation of magnetic particles was observed to be dependent on the distance of separation between the cube magnets and the magnetization time. X-ray diffraction was used to indicate the c-axis alignment of the hexagonal strontium ferrite particles in the cured specimens. The influence of process parameters on particle orientation was evaluated, employing a full factorial experiment analysis. This fundamental research serves as a basis for constructing and optimizing the magnetic particle alignment setup for additive manufacturing processes.T06-P03 University of Alberta | Publication | 2018-05-30 | Balakrishnan Nagarajan, Alejandro Federico Eufracio Aguilera, "Michael Wiechmann ", Ahmed Jawad Qureshi, Mertiny, P. | | Additive manufacturing ferromagnetic polymers using stereolithography – Materials and process developmentMagnetic field responsive polymer composites find applications in many electrical and electronic devices. In this study, composites with magnetic fillers were manufactured using a stereolithography based AM process. Magnetic suspensions developed with an objective of controlling particle settling were characterized for rheological properties. A stereolithography based commercial 3D printer was utilized to fabricate components using the developed magnetic suspensions. Resulting magnetic composite structures were characterized using scanning electron microscopy, a coordinate measuring machine and Fourier transform infrared spectroscopy. Through this research an enhanced understanding of filler modified polymers development, material behaviour and the process for manufacturing magnetic field responsive composites using stereolithography is obtained.T06-P03 University of Alberta | Publication | 2019-08-01 | | | Development and Characterization of Stable Polymer Formulations for Manufacturing Magnetic CompositesT06-P03 University of Alberta | Publication | 2020-01-01 | Balakrishnan Nagarajan, Milad Kamkar, Martin AW Schoen, Uttandaraman Sundararaj, Simon Trudel, Qureshi, A., Mertiny, P. | | Magnetically loaded polymer composites using stereolithography\textemdash Material processing and characterizationT06-P03 University of Alberta | Publication | 2020-12-01 | | | Rheology-Assisted Microstructure Control for Printing Magnetic Composites\textemdash Material and Process DevelopmentT06-P03 University of Alberta | Publication | 2020-09-01 | | | Design Strategies for Flywheel Energy Storage Systems in EV Fast ChargingWith rising numbers of electric vehicles to curb greenhouse gas emissions, mitigating strain on the electrical grid from EV charging, specifically fast-charging applications, has become a significant challenge, especially since adapting grid infrastructure is not only complex but costly. Long service life, high power charge capacity, and the ability to mitigate peak loads to the electrical grid are some of the requirements for energy storage systems (ESS) to support electric vehicle fast charging. In this context, interest in flywheel energy storage systems (FESS) has been growing in recent years due to the favorable power characteristics and lack of cycle aging that FESS offer over electrochemical ESS such as second-life batteries. Typically, flywheel design has focused on small-scale transportation and large-scale grid frequency regulation applications. The present paper presents design strategies for FESS in fast-charging applications, which signifies a promising and innovative approach for reducing the strain that fast EV charging imposes on the electrical grid. This study considers design strategies to achieve low material and fabrication costs, a high safety standard, and operational advantages.T06-P03 University of Alberta | Publication | 2023-02-08 | | | Modeling and Simulation to Improve Real Electric Vehicles Charging Processes by Integration of Renewable Energies and Buffer Storage The present study explores a simulation model combining system dynamics and discrete-event simulation for an electric vehicle charging system. For the representation of the charging demand the model employs data from an actual facility for vehicle charging. While being connected to the electrical grid, the system is augmented by a solar photovoltaic installation and stationary battery energy storage. Multiple simulation runs were performed to analyze the considered energy system over a 1-year period and compare relevant output parameters for different system configurations and system locations. Results show that a solar photovoltaic installation can be effectively integrated. For the degree of self-sufficiency, high values of 87 % can be achieved with combined solar photovoltaic and battery energy storage systems.
© 2022 IEEE.T06-P03 University of Alberta | Publication | 2023-01-23 | | | Multifunctional Hybrid Fiber Composites for Energy Transfer in Future Electric VehiclesT06-P03 University of Alberta | Publication | 2022-09-08 | |
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