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This work studies the potential to use nanoparticles as additives in lubrication oil to improve friction and wear properties. The friction coefficient, electrical contact resistance and wear depth are experimentally measuring using a reciprocating sliding tribo-tester at various temperatures, contact pressures and sliding velocities. The test results show that the nanoparticle as additive in base oil can reduce friction and wear by up to 50% in mixed and boundary regimes, but in a commercial engine oil, it has a relatively minor effect. The material properties, size and shape of nanoparticles affect their tribological properties. The mechanisms of friction and wear behavior improved are briefly discussed.

In this paper, the off-line analysis method is applied to develop three-way catalytic converter (TWC) diagnostic strategy including oxygen sensor (O2 sensor) diagnostic strategy with common narrow band oxygen sensor (EGO sensor) in Matlab/Simulink software. Moreover, Mototron ECU (Engine Control Unit) is used for monitoring catalyst deterioration. However, aged catalyst is difficult to possess so the different catalytic conversion efficiency (CCE) is simulated by using exhaust by-pass valve. The CEC (China Engine Corporation) 1L V2, four stroke, water-cooled engine is selected as target engine to conduct engine dynamometer test. After making sure O2 sensor operates normally, the catalyst diagnostic strategy test is executed. The experimental result shows that the catalyst deterioration accurately can be detected when the failure phenomenon takes place.