Paweł Kowol

Assistant professor

Silesian University of Technology

Poland

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About

Paweł Kowol is an Assistant Professor at the Silesian University of Technology in Poland. His research areas include control system design, haptic feedback technologies, and neural network applications in engineering. He has published articles on topics such as electromagnetic diaphragm pumps, magnetic characterization of materials, and the design of advanced actuators. His work contributes to the fields of mechatronics and computational analysis in engineering applications.

Articles (13)

Year:

2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2022

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2021

Year:

2020

Collaborators (10)

Damian Słota

Silesian University of Technology

POLAND

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Agata Wajda

Silesian University of Technology

POLAND

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Mateusz Koziol

associate professor

Silesian University of Technology

POLAND

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Rafał Brociek

Silesian University of Technology

POLAND

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Christian Napoli

Professor

Sapienza University of Rome

ITALY

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Giacomo Capizzi

University of Catania

ITALY

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Grazia Lo Sciuto

Silesian University of Technology

POLAND

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Piotr Olesik

Silesian University of Technology

POLAND

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Gian Carlo Cardarilli

Professor

University of Rome Tor Vergata

ITALY

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Pawel Nowak

Silesian University of Technology

POLAND

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Paweł Kowol

Research Interests

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About

Articles (13)

Control System Hardware Design, Analysis and Characterization of Electromagnetic Diaphragm Pump

Magnetic Characterization of MR Fluid by Means of Neural Networks

Pipe Organ Design Including the Passive Haptic Feedback Technology and Measurement Analysis of Key Displacement, Pressure Force and Sound Organ Pipe

Linear Actuators in a Haptic Feedback Joystick System for Electric Vehicles

Deep Learning Model for Magnetic Flux Density Prediction in Magnetic Spring on the Vibration Generator

Design of Laboratory Stand for Displacement Measurement of IPMC Actuators

Modeling and Experimental Characterization of a Clutch Control Strategy Using a Magnetorheological Fluid

A Control Strategy for Mechatronic Action of a Pipe Organ Using a VCM Actuator

Multilayer Plasmonic Nanostructures for Improved Sensing Activities Using a FEM and Neurocomputing-Based Approach

Computational Analysis of a Multi-Layered Skin and Cardiac Pacemaker Model Based on Neural Network Approach

3D Printing of Composite Material for Electromechanical Energy Harvesters

Effect of post-process curing and washing time on mechanical properties of mslaprintouts

Stand for Measurement of the Magnetorheological Fluid Magnetic Permeability

Collaborators (10)

Damian Słota

Agata Wajda

Mateusz Koziol

Rafał Brociek

Christian Napoli

Giacomo Capizzi

Grazia Lo Sciuto

Piotr Olesik

Gian Carlo Cardarilli

Pawel Nowak

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