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Impact of mechanical elements may have the devastating effects including the material breakdown, abnormal deformation, stiffness lowering and the surface wear. In the present study it is showed that covering the impacted targets by the fluid layer will accommodate these effects by absorbing a portion of the impact energy.

In the present work, a drop test machine is used to experimentally investigate the effect of influencing parameters on the impact subsequences. Effect of the impact velocity, incidence angle, ball size, target bed and covering oil/water layer is considered.

Testing the variety of the oil layers thickness revealed that the large portion of the impact energy can be damped by thickening the covering fluid. The ratio of the energy absorbed by the same thickness oil and water layer is extracted. Results show that the energy absorbed by the water layer is lower than half of the energy absorbed by the oil layer in several cases. Moreover, theoretical relations are extracted from the experimental data which give the energy absorption by rubber bed contrast to the steel bed and also the energy absorption by fluid layer contrast to the dry impact.

This paper includes investigating the effect of specimen bed and covering fluid layer on energy absorption by a new experimental apparatus. Layers of oil and water have been compared.

Oblique impacts which occur in many situations in mineral industries leads to material removal and fail of mechanical parts. Studies will be helpful in optimal design to have minimum machine malfunctions.

In the present work, the Hertz-Di Maio Di Renzo nonlinear model of contact is used to simulate the impact phenomenon as a micro-sliding process. The modified Archard equation is used to evaluate wear over the impact. The wear coefficient is evaluated by a pin-disk machine. An impact-wear tester is used to validate the model results.

The measurements indicate an increase in surface hardness because of the several impacts. It is considered in the wear predictive model.

The model predictions compared with the experimental data, obtained from the impact-wear tester, show that the model well predicts the impact wear and can be used as a predictive tool to study the practical design problems and to explain some phenomena associated with the percussive impact.