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The purpose of this paper is to analyze and to quantify the contributions of measurement uncertainty in the human exposure to vibrations. Typically, the high-level vibrations exposure in workplace can cause the onset of pathologies affecting musculoskeletal, vascular, and neurological systems. Regulations and standards lay down the assessment of the health risks arising from vibrations using specific instruments and a proper measurement procedure. This paper proposes a methodology for the uncertainty evaluation of exposure to hand-arm and wholebody vibrations; as a main contribution, the uncertainty analysis of daily exposure hand-arm vibrations and whole-body vibrations is provided to estimate the vibrations exposition and to reduce the risks of the worker. This activity was developed in collaboration with Military Navy Arsenalin Taranto (South Italy), which is active all along in the protection of health and the safety in the workplace.Index Terms-Human exposure, hand-arm vibration, whole body vibration, measurement uncertainty.

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Modelling and control of the injection process in common rail Diesel engines has attracted the interest of many researches also in recent years. This paper adds a new contribution for accurately modelling electro-injectors. Namely, not only nonlinear dynamics of the fuel flow and electro-mechanical aspects are considered but also a different representation of high-pressure wave propagation in pipes that feed the injector volumes. Model parameters are optimized by an evolutionary technique and a simulation study analyzes the prediction capability of the optimized model. The optimized model shows a superior fitting to experimental data than a nominal and a conventional model, and then it could be profitably used for injection control

One of the main issues in the design, modeling, and control of innovative automotive engines is to reduce energy consumption and emission of pollutants and, at the same time, to guarantee a high level of performance indices. In particular, enhanced model-based control of the injection process has been a hot research topic in recent years to increase the combustion efficiency in common rail (CR) diesel engines and to meet strict legislations. This paper focuses on the development of a more accurate model for the electro-injector in CR diesel engines. The model takes into account the mechanical deformation of relevant parts of the electro-injector and the nonlinear fuel flow. Model parameters are then optimized by an evolutionary strategy. Simulation results confirm that the optimized model can be helpful for predicting the real trend of the injected fuel flow rate, evidenced by experimental data, thus can be helpful for injection control of CR diesel engines.