Agricultural tractors frequently operate in rough terrain conditions, which increases the risk of rollover incidents. Protective equipment such as ROPS (Rollover Protection Structure) is designed to mitigate injuries in the event of a rollover. However, to prevent accidents rather than merely protecting against them, a better understanding and improvement of tractor stability is required. This study presents a Multibody Dynamics (MBD) model developed to predict tractor rollover stability for all orientation angles using Adams/View. The model has been validated through an analytical rollover stability model and real-scale experiments conducted at the Agro-Forestry Innovation Laboratory (AFILab). The results show that the MBD model can accurately simulate test scenarios. While current safety regulations generally focus on pure lateral rollovers, this study extends rollover considerations to agricultural vehicles for each orientation angle. MBD simulations enable the evaluation of various operational scenarios that are difficult to replicate experimentally, and this approach can significantly reduce the time and resources required for stability test. In conclusion, this study highlights the need for comprehensive stability tests and proposes MBD simulations as an efficient tool to improve tractor design and safety.

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Integrating MBD Simulation and Experimentation for Enhanced Rollover Prevention Strategies in Agricultural Tractors

  • Merve Karaca,
  • Giovanni Carabin,
  • Sefa Temur,
  • Mehmet Murat Topaç,
  • Fabrizio Mazzetto

摘要

Agricultural tractors frequently operate in rough terrain conditions, which increases the risk of rollover incidents. Protective equipment such as ROPS (Rollover Protection Structure) is designed to mitigate injuries in the event of a rollover. However, to prevent accidents rather than merely protecting against them, a better understanding and improvement of tractor stability is required. This study presents a Multibody Dynamics (MBD) model developed to predict tractor rollover stability for all orientation angles using Adams/View. The model has been validated through an analytical rollover stability model and real-scale experiments conducted at the Agro-Forestry Innovation Laboratory (AFILab). The results show that the MBD model can accurately simulate test scenarios. While current safety regulations generally focus on pure lateral rollovers, this study extends rollover considerations to agricultural vehicles for each orientation angle. MBD simulations enable the evaluation of various operational scenarios that are difficult to replicate experimentally, and this approach can significantly reduce the time and resources required for stability test. In conclusion, this study highlights the need for comprehensive stability tests and proposes MBD simulations as an efficient tool to improve tractor design and safety.