Journal of Novel Engineering Science and Technology
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Designing the Future: Exploring the Smart Manufacturing Ecosystem and Future Landscape
Get PDFThe manufacturing industry has continuously evolved alongside technological advancements, progressing from steam engines to electricity, microprocessors, computers, automation, and most recently, artificial intelligence, the Internet of Things (IoT), and cyber-physical systems. This digital transformation has ushered in the era of smart manufacturing, characterized by the development of intelligent systems. In this paper, we provide a comprehensive exploration of the smart manufacturing ecosystem, assessing its current status and forecasting future trends. Key elements and technologies central to smart manufacturing and Industry 4.0 (I4.0) encompass digital manufacturing, big data analytics, cloud manufacturing, digital twins, IoTs, and smart factories. Our research adopts a qualitative approach, offering a broad perspective on the concept of smart manufacturing. This paper aims to explore these emerging trends and shed light on future opportunities associated with this digital transformation. Consequently, enterprises need to redesign their businesses and models to achieve the benefits disclosed by these new settings
Advanced Exergy Analysis on the Turbofan Engine
Get PDFStudies on energy utilization underscore the paramount importance of energy, as evidenced by numerous researchers. This research encompasses both conventional and advanced exergy analyses. Advanced exergy analysis aims to ascertain the extent of energy loss in each component, influenced by irreversibility, and to account for component interactions within the system. Furthermore, advanced exergy analysis seeks to enhance the operational efficiency of each engine component. The findings reveal that the combustion chamber exhibits the highest level of energy loss, amounting to 32.817 MW. This energy loss primarily stems from irreversibility triggered by chemical reactions leading to heat transfer. Overall, the study results indicate that the exergy influx from external sources surpasses that generated internally in each component system
Developing New PVT Correlations for Libyan Crude Oil Using Samples from Different Reservoirs
Get PDFFive PVT correlations including bubble point pressure, solution gas-oil ratio, oil formation volume factor, dead oil viscosity, and oil density were used to analyze a total of 102 data sets from the Libyan crude oil reservoirs representing Sirte, Ghdames, Murzug, and offshore Tripolitania basins, to find a new more accurate correlation. Linear & nonlinear regression and statistical software packages (Excel, Minitab, and Mat lab software) were applied to the above-mentioned crude samples. The application of multilinear regression and statically software on the solution gas, oil ratio, temperature, and API gravity, exhibit a direct proportionality with the bubble point, whereas in the case of gas gravity, the correlation shows inversely proportionality with the bubble point. The relationships between the solution gas oil and other properties show that the distribution of the tested points in these investigations are located very close to the 45° trend line fourth solution gas oil ratio, indicating that the correlations have higher accuracy with our newly developed PVT equations for the analyzed Libyan crude oil samples. The cross plots between measured vs. calculated oil formation factor, dead oil viscosity, and oil density play a very good reliable correlation compared with previously published correlations done by other researchers as well as in the statistical calculation, in addition, the AARE and R2 results were calculated for previous published correlation in different locations over the world. Based on the obtained results in this research, the proposed correlations are more accurate than all the other previously published correlations, exclusively for Libyan crude oil
Development of Novel Solar Cell Design based on Current Energy Converted from Phonon Energy by Controlling the Phonon Transport
Get PDFThe paper mainly focuses on the Development of Novel Solar Cell Design based on Current Energy Converted from Phonon Energy by Controlling the Phonon Transport. The research challenges in this study are: to find a means of the control of phonon transport or phonon accumulation and propose a novel solar cell structure to convert the phonon energy to the current energy; to study phonon control method for III-nitrides and the properties of phonon transport; to analyze the phonon absorption in a short time for III-nitrides is higher than gallium arsenide by one order, which makes it possible to extract higher current than previous materials. The research objectives are: to design the novel solar cell structure to convert Phonon Energy to Current Energy; to analyze the physics of solar cell structure with numerical approaches; to model the Quantum Well in the proposed solar cell structure; to set the experimental measurement system for physical characteristics of novel solar cells; to confirm the results from the analysis of Control of Phonon Transport. The conversion of current energy from the phonon energy by controlling the phonon transport depends on the structure of the solar cell stacking system. The implementation of this study was accomplished based on the specific model, especially Quantum Well Structure. The results confirm that the performance specification of targeted solar cell structures in real-world applications
A Preliminary Study on the Measurement of Supply Chain Performance: The Determination of Key Performance Indicator (KPI) Weights
Get PDFSupply chain performance measurement is crucial in determining strategies to improve company performance. PT XYZ is an export-scale sweet potato-based food processing company. The obstacle the company often faces is the mismatch in the quantity of raw material delivered from suppliers, resulting in delays in production and fulfillment of demand to consumers. For this reason, it is important to measure the performance of the supply chain, so that the company knows the parts of the supply chain that must be improved. Supply Chain Operations Reference (SCOR) is a method for measuring supply chain performance. Before applying the SCOR method, the first step that needs to be done is determining the Key Performance Indicator (KPI) and its weight. This research aims to determine KPI weights using the Analytical Hierarchy Process (AHP) method, at PT XYZ. The AHP method was chosen because of its ability to provide objective weights based on priorities determined by experts. The results showed that there were 6 KPIs at level 1, 19 KPIs at level 2 which were grouped in 6 dimensions, and 50 KPIs at level 3 which were grouped in 19 dimensions. The KPI determination is adjusted to the SCOR dimensions and the real conditions of the company. Furthermore, based on the AHP method analysis, the weight of each KPI is obtained, and the weight comparison between KPIs is known. The implementation of strategies that focus on the KPIs with the highest weights is expected to improve the overall supply chain performance
Investigation of The Effect of Different Activators on Borosintering Process
Get PDFIn parts produced by the P/M method, boriding is generally applied as a separate process after sintering. If the package boriding process is carried out during the sintering of the powder compact, sintering and boriding can be integrated; This not only prevents parts from deforming due to secondary heating, but can also reduce energy consumption. Carrying out sintering and boriding processes simultaneously is called Borosintering (B/S). Studies in the literature have stated that various material properties are improved thanks to the boride layers formed as a result of the borosintering process. It has been observed that the effect of different boronizing environments on the borosintering process has not been examined in any of the studies. In this study, media containing different weight ratios of silicon carbide (75%, 85%, 90%), boron carbide (5%, 10%, 20%) and the remainder one of various activators (Na2CO3, NaCl, Na2B4O7 (anhydrous borax) and NaF) in the boronizing medium were tested. Wear test (0.6 m/s sliding speed, 52 N load, 500 m distance, counter: 16MnCr5) was applied to some selected samples, the boride layer was examined by SEM, and elemental analysis was performed by EDX. Phases in the boride layer were detected by XRD. The hardness of the layer was measured with a microvickers test machine. The study showed that many different activators can be used in the borosintering process and that activators have a significant effect on the specifications of the boride layer. It was concluded that the NaF activator accelerates the formation of the boride layer more than other activators and creates a boride layer with better properties
Analysis of Electromyography (EMG) Signal Processing with Filtering Techniques
Get PDFThe paper presents the Analysis of Electromyography (EMG) Signal Processing with Filtering Techniques. The problem in this study is how to consider the filtering techniques for fundamental EMG signal processing with high-level accuracy. The research method for designing the simulation codes for observing the EMG signal modeling and digital filtering techniques with mathematical approaches from the signals and systems concepts. The results confirm that the outcomes of this study met the performance target for noise removal techniques of EMG signals in real-world applications
Effect of Micronised Pumice Powder Addition on Shore-D Hardness Values of Medium Density Fiber Epoxy Composite
Get PDFThe present study explores the effect of MDF powder-reinforced filled pumice powder epoxy composites on their Shore - D properties, produced by using different weight percentage. The composites samples containing 10, 20, 30, 40, and 50wt% of pumice powder were fabricated by using hand lay-up technique. The specimens prepared were tested for hardness as per the ASTMD2240 standards. The outcomes of the study revealed that pumice powder amount in the composite increasing with an increased in Shore-D hardness values. It is noted that the weight percentage of 50% of pumice powder and 50% of MDF powder composite was produce the maximum hardness values
Transparent Film Profiling and Analysis by White Light Scanning Interferometry
Get PDFThis paper describes the use of white light scanning interferometry with a Super luminescent diode (SLD) for thin film surface measurement. The technique provides 3D top surface and thickness profiles of transparent films, as well as detailed properties of multilayer film stacks, including material optical properties. The setup involves splitting a laser beam with a beam splitter, generating interference signals detected by a photodetector, and then converting analog signals to digital using an A/D converter for further analysis with LabView and MATLAB software. In this paper, the theoretical analysis and simulation study of white light scanning interferometry for transparent film measurement is discussed. This approach offers a flexible tool for both engineering and structured surface measurements
Suspension Bridge Estimation Method using the Fokker-Planck Model
Get PDFThe failure of the suspension bridge has been known since the beginning of the bridge collapse. Most of these failures form the basis of current engineering knowledge. One of the factors of failure is human-made factors related to the calculation of the bridge estimate. This paper presents an indirect estimation method using numerical simulation using finite elements by analyzing the Fokker-Planck model when dynamic excitation is associated with bridge loads. The results show that the Fokker-Planck model's homogeneous form can take into account the solution for the bridge analysis approach. It leads to a stable state when giving mass variations to the model. The indirect estimation method using finite elements can estimate the cable tension with controllable weak damping. It can be concluded that the method in this study is more accurate and convenient for the application technique