Daniela Szpaczyńska
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Daniela Szpaczyńska has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Marian Janusz Łopatka
Faculty of Mechanical Engineering, Military University of Technology, 00-908 Warsaw, Poland
1 shared publication - Mirosław Przybysz
Faculty of Mechanical Engineering, Military University of Technology, 00-908 Warsaw, Poland
1 shared publication - Piotr Krogul
Faculty of Mechanical Engineering, Military University of Technology, 00-908 Warsaw, Poland
1 shared publication - Tomasz Muszyński
Faculty of Mechanical Engineering, Military University of Technology, 00-908 Warsaw, Poland
1 shared publication
Latest Publications
- Open Access
- 7 February 2025
- Published by MDPI AG in Applied Sciences
- Vol. 15 (4) , 1696
Comparison of Multi-Tracked Running Gears in Terms of Obstacle Negotiation Capabilities
This paper concerns lightweight—up to 800 kg—UGVs (unmanned ground vehicles), where multi-tracked running gears are used to improve the obstacle negotiation performance. A comparison of four different multi-tracked systems and, for reference, classic tracked running gear is presented. Simulations in a multi-body dynamics program were performed, where running gear solutions overcame three typical obstacles and were assessed using a total of five effectiveness and functionality criteria. The simulation models took into account the variable track–ground contact surface. The ground parameters were validated by means of experimental tests for grassy terrain. In the results, the most advantageous solutions in each category are indicated, and design guidelines for increasing the obstacle-overcoming capabilities of multi-tracked UGVs are presented.
- 7 February 2025
- Published by MDPI AG in Applied Sciences
- Vol. 15 (4) , 1696
Open AccessComparison of Multi-Tracked Running Gears in Terms of Obstacle Negotiation Capabilities
This paper concerns lightweight—up to 800 kg—UGVs (unmanned ground vehicles), where multi-tracked running gears are used to improve the obstacle negotiation performance. A comparison of four different multi-tracked systems and, for reference, classic tracked running gear is presented. Simulations in a multi-body dynamics program were performed, where running gear solutions overcame three typical obstacles and were assessed using a total of five effectiveness and functionality criteria. The simulation models took into account the variable track–ground contact surface. The ground parameters were validated by means of experimental tests for grassy terrain. In the results, the most advantageous solutions in each category are indicated, and design guidelines for increasing the obstacle-overcoming capabilities of multi-tracked UGVs are presented.
- Open Access
- 21 September 2023
- Published by MDPI AG in Applied Sciences
- Vol. 13 (18) , 10533
Susceptibility Modeling of a Rubber Track for Lightweight Mobile Robots
The elastic-damping properties of the rubber track structure can have a significant impact on the running gear performance of lightweight mobile robots. Taking these properties into account is particularly important for modeling obstacle negotiation and estimating the robot’s driving force. The article presents track susceptibility identification using both static and dynamic tests. The experimental results were used to validate the multi-body dynamics model of the rubber track for three modeling methods and for three track link number model variants. The methods and variants were compared by the accuracy of the susceptibility parameters obtained using them. The impact of the modeling methods on the track bending resistance simulations was also checked.
- 21 September 2023
- Published by MDPI AG in Applied Sciences
- Vol. 13 (18) , 10533
Open AccessSusceptibility Modeling of a Rubber Track for Lightweight Mobile Robots
The elastic-damping properties of the rubber track structure can have a significant impact on the running gear performance of lightweight mobile robots. Taking these properties into account is particularly important for modeling obstacle negotiation and estimating the robot’s driving force. The article presents track susceptibility identification using both static and dynamic tests. The experimental results were used to validate the multi-body dynamics model of the rubber track for three modeling methods and for three track link number model variants. The methods and variants were compared by the accuracy of the susceptibility parameters obtained using them. The impact of the modeling methods on the track bending resistance simulations was also checked.