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Multivariate optimisation and statistical process control of polymer triboelectric charging

Abstract : The main objective of the thesis was to study the triboelectric behavior of dry sliding contacts between polymeric materials (ABS, PE, PP, PS and two types of PVC), including the possibility to control and optimize the results in terms of either surface charge generated or wear. A linear tribometer with tribocharging capabilities was designed and built, to enable the study of the sliding contact between solids and to allow the adjustment of main tribocharging control variables: normal force, sliding speed, time and stroke. This device also provided measurement data to characterize the friction condition: the variations of the normal and tangential forces, as well as the relative displacement between the specimens. Furthermore, the electric charge generated and temperature raise due to rubbing on the surface of the polymer were measured, so that to investigate the relationship between the tribological properties. The experiments showed that the level and distribution of the charge generated by dry friction depends on the normal force applied, friction time (cycle), sliding speed, material mechanical properties and surface roughness or texture. Corona discharge may be used to provide initial charge on the surfaces before sliding. Modelling of tribocharging processes was done using the design of experiments methodology. The models can be used to predict and optimize the tribocharging. Control charts were used to monitor the process and detect the special causes of variation in the charge generated by triboelectric effect.
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Yopa Eka Prawatya. Multivariate optimisation and statistical process control of polymer triboelectric charging. Mechanics of materials [physics.class-ph]. Université de Poitiers, 2018. English. ⟨NNT : 2018POIT2262⟩. ⟨tel-02077049⟩

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