Applied Mechanics and Materials Vol. 918

Abstract: Acid mine drainage (AMD) is one of the major environmental problems the mining and mineral processing industries face. Treatment of AMD involves active and passive treatment. In the long term, passive treatment is the most effective way to treat acid mine drainage, but it can be expensive. if handled properly. Therefore, the study of flow rate in a passive treatment system is one of the important ways to identify optimum hydraulic retention time to ensure the maximum percentage of heavy metal removal can be achieved while keeping the cost to a minimum level. This study focused on developing and comparing the Response Surface Methodology (RSM) model and Artificial Neural Fuzzy Inference System (ANFIS) model to predict the outlet flow rate of the passive treatment system column based on three parameters inlet flow time, thickness of peat soil bed, and inlet flow rate. The RSM model was created by Design-Expert software whereas MATLAB created the ANFIS model with 80% of data used for the model training and 20% of the data for model testing. The models' performances were compared in terms of statistical errors (AAPE, RMSE, R², STD, minimum error, and maximum error). It was found the ANFIS model has performed better in predicting the outlet flowrate with R² value of 0.99 RSM model with the value of 0.97. The inlet flow rate was an insignificant parameter affecting the outlet flow rate of the passive treatment column. From the 3-D surface response plot, the highest outlet flow rate is predicted to be 524 mL/min.

Abstract: The existence of oxygen is needed in various fields such as health, industry, aerospace, and energy. Pressure swing adsorption method using zeolite A and X is commonly used in the oxygen separation process. Zeolite LiX is widely used especially in oxygen purification systems from air for medical needs until the purity reach >90%. In the present work the simulation studies of oxygen separation from air using zeolite LiX were investigated by pressure swing adsorption method. This simulation uses 2 beds/4 steps Skarstrom cycle which generally consists of bed pressurization, adsorption, depressurization and desorption. Several variables were studied such as the effect of pressure, cycle time, and temperature to determine the level of product purity. The simulation shows that the increase in oxygen concentration is caused by an increase in operating pressure and total cycle time to obtain maximum results. Meanwhile, large pressures can reduce the efficiency of the adsorbent. The maximum oxygen concentration that can be obtained up to 99%. However, the temperature variation has no significant change. In general, pressure plays the most significant role in oxygen purification.

Abstract: The melting process in the glass industry is an energy-intensive process that uses fossil fuels to maintain melting temperatures between 1600°C and 1700°C. The process is carried out in the Glass Furnace. Obtained the high temperature also of flue gas is around 1350 °C – 1500 °C. Hence with the high temperature is potential to heat recovery in the form of combustion air pre-heating using a regenerator to increase the efficiency in Glass Furnace. This phenomenon gave rise to an idea to create a modelling mathematic to know the optimum process in Glass Furnace. Many studies on Glass furnace regenerator have been carried out but only for one cyclic of heat transfer in regenerator. Therefore, in this study, dynamic modeling of the regenerator will be made, namely a mathematical model that describes quantitatively the dynamic behavior during the process of reversing the direction between the regenerators, which will later explain the effect of air flow rate and the selection of the optimal transition time value for the demonstration, regenerator work and regenerator heat stability, by observing the dynamic behavior of the regenerator temperature profile using the FlexPDE software version 7. The simulation results show that the longer the switching time of regenerator is linier to inclining temperature in the regenerator with the optimum switching time (ST) at 10 minutes. The regenerator heat stability greatly influenced by air flow rate and heat propagation by heat transfer convection. However, the dimension selection of the regenerator plays a crucial role in heat utilization in glass furnaces.

Abstract: One thousand seventy-six million tonnes, or 2,89% of world carbon emissions, result from maritime transportation annually. One of the solutions to tapering down this trend is to create fossil-free renewable energy. Due to weather conditions, wind energy is the potential energy to achieve significant fuel savings. Flettner rotor is feasible for several container carriers with various deadweight tonnage (DWT), rotor dimensions, and efficiency results. This research conducted in the Indonesian Sea uses a parametric calculation to analyze the application of the Flettner rotor in several types of bulk and container carriers with six rotor specifications to minimize carbon emission and optimize the load. This study shows the optimal efficiency of ships after using the Flettner rotor. Flettner rotor can reduce 330.15 kg of fuel in 251,667 DWT of bulk carrier and 559,22 kg on 94,727 DWT container carrier. This study also proves the decrease of carbon emission to 288.86 kg in the bulk carrier and 488.98 kg of carbon emission from the container carrier after using the Flettner rotor. This result of efficiencies can be modified and raised according to the number of installed rotors.

Abstract: An adaptive control system is an advanced method for controlling the speed of a moving motorized vehicle. Using this intelligent control system, the driver can easily control the speed of the car according to his wishes or the prevailing situation. The adaptive control system consists of a sensor attached to a moving vehicle which then registers the speed of the car and provides input to the processing unit. The controller is designed according to the force exerted by the car to drive a certain distance in a certain time. This time, the control uses a PID controller. This method is followed for various tunings of Kp, Ki, and Kd values for the P, PI, PID, and IPD structures for a cruise control system using MATLAB. The PID used in this experiment is intended to control the speed to make it more stable and optimal.