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PurposeThe purpose of this paper is to investigate the effect of a lubricant with a polytetrafluoroethylene (PTFE)‐based additive on the friction behaviour in a steadily loaded journal bearing using an experimental and artificial neural network approach.Design/methodology/approachThe collected experimental data, such as pressure variations, are employed as training and testing data for artificial neural networks (ANNs). A feed forward back propagation algorithm is used to update the weight of the network during the training.FindingsAn artificial neural network predictor has superior performance for modelling journal bearing systems under different lubricant conditions.Research limitations/implicationsA feed forward back propagation algorithm is used as a training algorithm for the proposed neural networks. Various training algorithms can be used to train the proposed network. Various lubricants and concentration ratio of the different additives can be investigated.Practical implicationsThe simulation results suggest that the artificial neural predictor would be used as a predictor for possible experimental applications, especially different lubrication conditions on the modelling journal bearing system.Originality/valueThe paper discusses a new modelling scheme known as ANNs. A neural network predictor has been employed to analyze the effects of a lubricant with a PTFE‐based additive on the friction behaviour in a steadily loaded journal bearing under different operating conditions.

It has been seen that Cylindrical Type Instantaneous Safety Gear, which is one of the most important element of an elevator system, during safety gear operation is being exposed to high stresses and brake accelerations. The stress and deformation distribution of a cylindrical type safety gear’s brake block was investigated using finite elements and experimental methods. Results found with FEM by using ABAQUS/CAE software were compared to experimental results. It is clearly seen that the element type and boundary conditions used in finite element modelling give satisfactory results.

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Elderly care emphasizes the social and personal requirements of older people who need assistance with daily activities and health care, where almost always the main caregiver is the other element of the couple (husband or wife). In the context of Wellbeing, and from its perspective, it is important to have information regarding the type of care needed by bedridden elderly people. Regardless of the needs, they desire independence and autonomy in their life so they need better, more efficient and integrated systems for health and social care. Nowadays, there is an increase on the availability of assisted devices that can be used at home, decreasing the constant requirement for health professional assistance. The main objective of this study is to propose a conceptual solution consisting on the development of a bed mattress in order to reduce pressure points and protect fragile elders. Also, it intends to show a solution that may reduce the number of caregivers to only one. Besides it allows a safety design structure, to be able to take care of older people with disabilities in order to live independently and be active in their home.