Friction and anti-wear property of aqueous tri-block copolymer solutions in metal forming

Friction and anti-wear property of aqueous symmetrical tri-block normal PEOm-PPOn-PEOm and reverse PPOn-PEOm-PPOn copolymer solutions have been studied. The study focuses on the effect of the solution bulk temperatures and the copolymer block structures. It was found that the concentration and the length of the copolymer blocks affect the solution cloud points, friction and anti-wear property. When solution was supplied at bulk temperature above their cloud point, aqueous copolymer solutions were not able to develop effective adsorbed film resulting in high friction and severe wear. When the bulk temperatures were below the cloud point, the anti-wear property improved significantly and the dynamic friction is lower than that when the temperatures were above the cloud point. This demonstrates the importance of the supply temperature of this type of lubricant in metal forming. However by adding ethyl phosphate ester to the copolymer solutions further improved friction reducing property of the solutions was observed and the friction and anti-wear property of the lubricant become insensitive to bulk temperature. In the effort to understand the lubrication mechanism of the aqueous solutions, wear tracks were studied using scanning electron microscope (SEM) and atomic force microscope (AFM), and the surface wetting ability via contact angle measurements

Integrated Condition Monitoring and Prognosis Method for Incipient Defect Detection and Remaining Life Prediction of Low Speed Slew Bearings

This paper presents an application of multivariate state estimation technique (MSET), sequential probability ratio test (SPRT) and kernel regression for low speed slew bearing condition monitoring and prognosis. The method is applied in two steps. Step (1) is the detection of the incipient slew bearing defect. In this step, combined MSET and SPRT is used with circular-domain kurtosis, time-domain kurtosis, wavelet decomposition (WD) kurtosis, empirical mode decomposition (EMD) kurtosis and the largest Lyapunov exponent (LLE) feature. Step (2) is the prediction of the selected features\u27 trends and the estimation of the remaining useful life (RUL) of the slew bearing. In this step, kernel regression is used with time-domain kurtosis, WD kurtosis and the LLE feature. The application of the method is demonstrated with laboratory slew bearing acceleration data

Surface film adsorption and lubricity of soybean oil in-water emulsion and triblock copolymer aqueous solution: A comparative study

This paper investigates the surface film adsorption and lubricity of two different types of potential environmentally friendly cold metal forming lubricants: soybean vegetable oil in water VO/W emulsions and triblock copolymer aqueous solutions. The lubricants have different visual appearance, surface film adsorption characteristic, lubricity and surface cleaning behaviour. The effects of concentration, temperature and emulsification ultrasonic energy (for VO/W emulsion) are studied. The result shows that the soybean VO/W emulsions have stronger adsorption, superior lubricity and anti-wear property compared to the copolymer solutions. The effect of temperature is investigated at 30 °C and 65 °C which are below and above cloud point of the aqueous copolymer solutions. Both lubricants show improved friction and anti-wear property at 65 °C. However, tenacious residual film remained on the discs surface after surface cleaning indicates lower cleanability of the soybean VO/W emulsions compared to the copolymer solutions, postulating the need for extra post-processing cleaning operations after cold forming process with VO/W emulsion lubricant

Circular domain features based condition monitoring for low speed slewing bearing

This paper presents a novel application of circular domain features calculation based condition monitoring method for low rotational speed slewing bearing. The method employs data reduction process using piecewise aggregate approximation (PAA) to detect frequency alteration in the bearing signal when the fault occurs. From the processed data, circular domain features such as circular mean, circular variance, circular skewness and circular kurtosis are calculated and monitored. It is shown that the slight changes of bearing condition during operation can be identified more clearly in circular domain analysis compared to time domain analysis and other advanced signal processing methods such as wavelet decomposition and empirical mode decomposition (EMD) allowing the engineer to better schedule the maintenance work. Four circular domain features were shown to consistently and clearly identify the onset (initiation) of fault from the peak feature value which is not clearly observable in time domain features. The application of the method is demonstrated with simulated data, laboratory slewing bearing data and industrial bearing data from Coal Bridge Reclaimer used in a local steel mill

Additive Manufacturing, Modeling and Performance Evaluation of 3D Printed Fins for Surfboards

We demonstrate that Additive Manufacturing (3D printing) is a viable approach to rapidly prototype personalised fins for surfboards. Surfing is an iconic sport that is extremely popular in coastal regions around the world. We use computer aided design and 3D printing of a wide range of composite materials to print fins for surfboards, e.g. ABS, carbon fibre, fibre glass and amorphous thermoplastic poly(etherimide) resins. The mechanical characteristics of our 3D printed fins were found to be comparable to commercial fins. Computational fluid dynamics was employed to calculate longitudinal (drag) and tangential (turning) forces, which are important for surfboard maneuverability, stability and speed. A commercial tracking system was used to evaluate the performance of 3D printed fins under real-world conditions (i.e. surfing waves). These data showed that the surfing performance of surfboards with 3D printed fins is similar to that of surfboards with commercial fins

Large wind turbine structural load control: trailing edge deformation mechanism for active variable-camber blade

Blade root fatigue stress, primarily resulting from wind shear and turbulence, is a critical factor in wind turbine design. Blade mounted aerodynamic control devices have been shown to have the potential to reduce this. However, limited research exists into suitable devices. The blade designed in this work addresses this by employing an actuated compliant mechanism, contained within a flexible matrix composite structure. The resulting mechanism design achieves a sectional change in lift coefficient of ΔCL + 0.4 to -0.15. The performance of the blade is analysed with a quasi-steady time marching BEM model. A reduction of 21.59% in the standard deviation of the flap-wise bending moment comparable to previous load control investigations has been achieved

Inter-layer distance optimisation for a light-based flowmeter by means of CFD

A non-intrusive method to measure the particle velocities in dilute-phase pneumatic conveying is described. The method is based on correlating signals, which are measured in two flow cross-sections. The cross-correlation function generated provides information about the time it takes for a particle to travel between the measurement planes. Knowing the inter-plane distance and the time delay, the particle velocity can be calculated. The two measurement planes must be an optimum distance apart to ensure the best possible signal resolution and sufficient quality of the cross-correlation: If the distance is too small, the resolution is coarse, while for a too large distance, the pipe contents in the two crosssections may differ due to curved particle trajectories (e.g. due to gravity), leading to weak crosscorrelation functions. In this paper, experimental measurements and Computational Fluid Dynamics (CFD) simulations of dilute-phase pneumatic conveying processes are reported. Particle trajectories for a given pipe geometry and different conveying velocities are used to estimate an optimal inter-layer distance

Pemograman Metode Elemen Hingga Berbasis MATLAB

vii, 221 hlm.; 28 x 20 c