Advances in Vehicle Dynamics and Friction Estimation
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".
Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 1184
Special Issue Editor
Interests: monitoring; railway vehicles; dynamic modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Proper operations of railway transportation systems during both braking and traction maneuvers require adequate values of the adhesion coefficient, but contaminants can strongly affect the shape of the adhesion curve as a function of the contact creepage. Hence, a deep knowledge of adhesion behavior under different conditions is essential to optimize the dynamic behavior of railway vehicles and to define efficient and reliable algorithms for on-board mechatronic devices and control strategies for adjusting the traction/braking torque, e.g., wheel slide protection (WSP) and antiskid systems.
This Special Issue calls for papers dealing with advanced and innovative aspects regarding the experimental investigation, the realtime estimation, the numerical modeling, and the optimization of the wheel–rail adhesion coefficient. In view of the widespread applications of digital twins, this Special Issue also welcomes works regarding machine learning techniques.
Dr. Nicolò Zampieri
Guest Editor
Manuscript Submission Information
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Keywords
- wheel–rail adhesion
- adhesion recovery
- degraded adhesion
- friction modifiers
- traction and braking
- test rigs
- numerical simulation
- wear
- digital twin
- machine learning techniques
