This study analyses a software algorithm developed on MATLAB, which can be used to examine fused filament fabrication-based 3D printed materials for porosity and other defects that might affect the mechanical property of the final component under manufacture or the general aesthetic quality of a product. An in-depth literature review into the 3D printed materials reveals a rapidly increasing trend in its application in the industrial sector. Hence the quality of manufactured products cannot be compromised. Despite much research found to be done on this subject, there is still little or no work reported on porosity or defect detection in 3D printed components during (real-time) or after manufacturing operation. The algorithm developed in this study is tested for two different 3-D object geometry and the same filament color. The results showed that the algorithm effectively detected the presence or absence of defects in a 3D printed part geometry and filament colors. Hence, this technique can be generalized to a considerable range of 3-D printer geometries, which solve material wastages by spotting defects during the workpieces layer-wise manufacturing process, thereby improving the economic advantages of additive manufacturing.
This study proposes a design model for conserving and utilizing energy affordably and intermittently considering the wind rush experienced in the patronage of renewable energy sources for cheaper generation of electricity and the solar energy potential especially in continents of Africa and Asia. Essentially, the global quest for sustainable development across every sector is on the rise; hence, the need for a sustainable method of extracting energy cheaply with less wastage and pollution is on the priority list. This research, integrates and formulates different ideologies, factors and variables that have been adopted in previous research studies to create an efficient system. Some of the aforementioned researches includes pumped hydro gravity storage system, Compressed air gravity storage system, suspended weight in abandoned mine shaft, dynamic modelling of gravity energy storage coupled with a PV energy plant and deep ocean gravity energy storage. As an alternative and a modification to these systems, this research is proposing a Combined solar and gravity energy storage system. The design synthesis and computational modelling of the proposed system model were investigated using a constant height and but varying mass. Efficiencies reaching up to 62% was achieved using the chosen design experimental parameters adopted in this work. However, this efficiency can be tremendously improved upon if the design parameters are modified putting certain key factors which are highlighted in the limitation aspect of this research into consideration. Also, it was observed that for a test load of 50 × 103 mA running for 10 h (3600 s), the proposed system will only need to provide a torque of 3.27Nm and a height range of 66.1 × 104 m when a mass of 10 kg is lifted to give out power of 48 kwh. Since gravity storage requires intermittent actions and structured motions, mathematical models were used to analyse the system performance characteristics amongst other important parameters using tools like MATLAB Simscape modelling toolbox, Microsoft excel and Sysml Model software.
This study aimed to develop and implement a fuzzy logic controlled-intelligent air purifier/humidifier. The concepts of passive purification and evaporative humidification were used to build this device, and engineering ideas and theories were used to guide the development of electrical and mechanical systems. Additionally, a fuzzy logic controller was designed, built, and integrated into the air purifier/humidifier device to help with its operation. It does this by analyzing input signals from all the sensors (dust, VOC gas, humidity, and water level) and activating the actuators (suction and blow fan). On the Arduino IDE, a C/C++ programming code was developed and uploaded onto the Arduino Uno R3 board, which houses the ATmega328P microcontroller processor. In estimating the clean air delivery rate, noise level, and moisture delivery rate, the performance of the developed air purifier/humidifier was assessed. Additionally, the electrical systems’ power consumption and the fuzzy logic controller’s ease of use were each assessed. In light of the room capacity taken into consideration, the findings obtained demonstrated that the proposed air purifier/humidifier device satisfies the minimum standard requirement of a clean air delivery rate of 140m3/hr. The outcome also revealed that the designed device’s noise level is lower than the typical threshold for an air purifier, which is less than 40 decibels. Additionally, after 68 minutes, the device raised the humidity level in a controlled area from 21% to 40%.
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