91青青草

Department of Energy and Mechanical Engineering

Fluid Power Laboratory

Research focuses on improving energy efficiency and efficiency of design of mechatronic systems with high power requirements, such as non-road mobile machines (NRMMs). To do this, we develop physics-based, data-driven and hybrid models that are validated with experiments at our laboratory.
Machine bed at the Fluid Power Laboratory

Current research setups at the lab include:

  • Large-scale mobile machine infrastructure intended to validate new, more efficient system architectures.
  • Electro-hydraulic actuation coupled with multi-pressure system focusing on improving linear actuator efficiency
  • Passive and active damping systems, which reduce wear and ensure long-lasting operation
  • Hydraulic accumulator development for better component-level efficiency
  • Waste heat utilization system, which turns low waste heat into useful work.

Main challenges investigated in our research include efficiency, performance, control, price, reliability and usability tradeoffs and limitations. Main challenges investigated in our research include efficiency, performance, control, price, reliability and usability tradeoffs and limitations.  Some of the fundamental scientific questions we seek answers to include: How can we accelerate the transition to zero-emission mechatronic systems? How can we utilize generative design, ML and AI to improve design process performance and support innovation?

Recent updates

    Differential Dual-Motor System (DDMS) of powertrain and
working hydraulics.

    鈥淓lectrification drives and enables the design of new solutions that can outperform older technologies. While components of heavy mobile machines should be as small, inexpensive, and reliable as possible, all components should also be utilized extensively to maximize space usage. My research focuses on system-level design, which involves the proper sizing and multifunctional use of all primary system components.鈥 Topias Tyni

    CFD simulations of adsorption process.

    "Adsorption is a promising method for carbon capture and gas compression systems using waste heat. We are studying the optimal design of an adsorption reactor using CFD simulations, including its shape and size, operating conditions and adsorbents to improve the energy efficiency of existing systems." Ali M. Sefidan

    Electro-hydraulic actuator.

    Electro-hydraulic testbench where the control challenges of moving from one loading quadrant to another is studied. The four loading quadrants are defined by the movement direction and loading direction.

    Cylinder vibration testbench.

    Passive damping of hydraulic cylinders is studied by utilizing a cylinder coupled with a hydraulic accumulator or a constant volume. Active damping is achieved by predictive and high-frequency valve control.

    a small hydraulic cylinder with multiple sensors and their cables

    Research Projects

    This page summarizes the industrial research project carried out by Aalto Fluid Power laboratory.

    Department of Energy and Mechanical Engineering

    Latest publications

    Gabriel Juul, Anna Kaisa Korhonen, Ganesh Neupane, Heikki Lagus, Jyrki Kajaste, Mika J盲rvinen, Jari Veps盲l盲inen 2025 Applied Thermal Engineering

    Topias Tyni, Jari Vepsalainen 2025 IEEE Access

    Juho Lehto, Jari Veps盲l盲inen 2024 The 12th JFPS International Symposium on Fluid Power

    Rohail Malik, Muhammad Ahmad, Jari Veps盲l盲inen 2024 2024 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2024

    Fletcher Porter, Jari Veps盲l盲inen 2024 The 12th JFPS International Symposium on Fluid Power 2024

    Nilusha Jayawickrama, Enric Perarnau Oll茅, Jesse Pirhonen, Risto Ojala, Klaus Kivek盲s, Jari Veps盲l盲inen, Kari Tammi 2023 Journal of Big Data

    Risto Ojala, Jari Vepsalainen, Jesse Pirhonen, Kari Tammi 2023 IET Intelligent Transport Systems

    Risto Ojala, Jari Veps盲l盲inen, Kari Tammi 2022 Journal of Big Data

    Jesse Pirhonen, Risto Ojala, Klaus Kivek盲s, Jari Veps盲l盲inen, Kari Tammi 2022 Applied Sciences (Switzerland)

    Alvari Seppanen, Jari Vepsalainen, Risto Ojala, Kari Tammi 2022 Journal of intelligent & robotic systems
    More information on our research in the Aalto research portal.

    People

    Juho Lehto

    痴盲颈迟枚蝉办颈谤箩补迟耻迟办颈箩补

    Ville Aleksi N盲rv盲nen

    痴盲颈迟枚蝉办颈谤箩补迟耻迟办颈箩补

    Anna-Kaisa Katariina Korhonen

    痴盲颈迟枚蝉办颈谤箩补迟耻迟办颈箩补

    Fletcher Allen Porter

    Research Assistant

    Jaakim Lastunen

    Doctoral Researcher

    Stefanos Zafiris

    Project Employee

    Rohail Malik

    Research Assistant

    Muhammad Ahmad

    Research Assistant

    Antti Sinkkonen

    罢耻迟办颈尘耻蝉颈苍蝉颈苍枚枚谤颈


    S盲hk枚miehentie 4 O
    02150 Espoo

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