Cabin Layout Optimization for Vibration Hazard Reduction in Helicopter Emergency Medical Service

A state-of-the-art review on biomechanical models and biodynamic responses

Biomechanical models are mathematical representations of human structure. These models are used to analyse joint and injury mechanics and design of prosthetic devices for human body under various conditions. Biomechanical model development involves the integration of knowledge from various fields, including mechanics, biology, physiology, and mathematics. Biomechanical models have become more significant in the healthcare sector as researchers strive to offer better medical supplies and ride comfort. It has uses in automobile and sports science as well, to create human dummies for accident and segmental vibration transmissibility study, improve training routines, and prevent injuries. These biomechanical models might be anything from straightforward lumped parameter models to intricate multi-body models. The virtues, weaknesses, and contemporary uses of lumped parameter modelling and multi body modelling in biomechanical modelling are discussed in this article. Subsequently, emphasised the recent modelling improvements and explored the future direction of biomechanical modelling. Researchers and professionals who wish to apply biomechanical models to comprehend human movement and enhance performance may find this review to be helpful.

An Approach to the Definition of the Aerodynamic Comfort of Motorcycle Helmets

The aim of this work is to obtain a reliable testing methodology for the characterization of the perceived aerodynamic comfort of motorcycle helmets. Attention was paid to the rider’s perception of annoying vibrations induced by wind. In this optic, an experimental comparative campaign was performed in the wind tunnel, testing 16 helmets in two different configurations of neck stiffness. The dataset was collected within a convolutional neural network (CNN or ConvNet) of images, creating a ranking by identifying the best and the worst helmets. The results revealed that each helmet has unique aerodynamic characteristics. Depending on the ranking scale previously created, the aerodynamic comfort of each helmets can be classified within the scale.

Multi-Axis Inputs for Identification of a Reconfigurable Fixed-Wing UAV

Designing a reconfiguration system for an aircraft requires a good mathematical model of the object. An accurate model describing the aircraft dynamics can be obtained from system identification. In this case, special maneuvers for parameter estimation must be designed, as the reconfiguration algorithm may require to use flight controls separately, even if they usually work in pairs. The simultaneous multi-axis multi-step input design for reconfigurable fixed-wing aircraft system identification is presented in this paper. D-optimality criterion and genetic algorithm were used to design the flight controls deflections. The aircraft model was excited with those inputs and its outputs were recorded. These data were used to estimate stability and control derivatives by using the maximum likelihood principle. Visual match between registered and identified outputs as well as relative standard deviations were used to validate the outcomes. The system was also excited with simultaneous multisine inputs and its stability and control derivatives were estimated with the same approach as earlier in order to assess the multi-step design.