Biomass co-firing is an appropriate and cheap solution for achieving renewable energy targets towards net zero emissions because it can reduce the potential environmental impacts associated with burning fossil fuels. ...
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An instrument has been developed by combining tunable diode laser absorption spectroscopy (TDLAS) and mass spectrometry (MS) to characterize the pyrolysis of high-temperature materials. Certain products released in th...
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An instrument has been developed by combining tunable diode laser absorption spectroscopy (TDLAS) and mass spectrometry (MS) to characterize the pyrolysis of high-temperature materials. Certain products released in the pyrolysis exhaust are measured in situ using both TDLAS and MS to establish a correlation of their absolute concentrations, such that the concentrations of all species can be quantified. In this experiment, commercially available carbon phenolic composites underwent pyrolysis processes to demonstrate the platform. The gas species of water vapor, methane, and carbon monoxide are targeted at room temperature via three lasers centered at 1392, 1654, and 2327 nm, respectively. The absolute concentration of the gases targeted by the three lasers is measured by TDLAS (molecules/cm 3 ). Mass spectrometry is employed to measure the relative abundances of all present gases, which are then converted into absolute concentrations via correlation with the measurements obtained from TDLAS for water vapor, methane, and carbon monoxide. The temporal evolution of the concentrations of all species is recorded alongside thermal changes measured by a thermocouple connected to the interior of the pyrolysis furnace.
A new era of connectedness, convenience, and efficiency has arrived with the introduction of the Internet of Things (IoT), which has revolutionized the way we engage with the world around us. Data privacy in IoT cloud...
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Designers are experiencing greater mental demands given the complexity of design tools, necessitating the study of cognitive load in design. Researchers have identified task- and designer-related factors that affect c...
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Melt electrowriting(MEW)is a solvent-free(i.e.,no volatile chemicals),a high-resolution three-dimensional(3D)printing method that enables the fabrication of semi-flexible structures with rigid *** its advantages,the M...
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Melt electrowriting(MEW)is a solvent-free(i.e.,no volatile chemicals),a high-resolution three-dimensional(3D)printing method that enables the fabrication of semi-flexible structures with rigid *** its advantages,the MEW pro-cess is sensitive to changes in printing parameters(e.g.,voltage,printing pressure,and temperature),which can causefluid column breakage,jet lag,and/orfiber pulsing,ultimately deteriorating the resolution and printing *** spite of the commonly used error-and-trial method to determine the most suitable parameters,here,we present a machine learning(ML)-enabled image analysis-based method for determining the optimum MEW printing parameters through an easy-to-use graph-ical user interface(GUI).We trainedfive different ML algorithms using 168 MEW 3D print samples,among which the Gaussian process regression ML model yielded 93%accuracy of the variability in the dependent variable,0.12329 on root mean square error for the validation set and 0.015201 mean square error in predicting line *** of ML with a control feedback loop and MEW can reduce the error-and-trial steps prior to the 3D printing process,decreasing the printing time(i.e.,increasing the overall throughput of MEW)and material waste(i.e.,improving the cost-effectiveness of MEW).Moreover,embedding a trained ML model with the feedback control system in a GUI facilitates a more straightforward use of ML-based optimization techniques in the industrial section(i.e.,for users with no ML skills).
In Indonesia, the majority of blindness cases, approximately 81%, are attributed to cataract. Additionally, 35% of the population has higher cholesterol levels than the standard normal range. The lack of specialized m...
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In this study, the combined experimental and theoretical estimation on elastic characteristics of EVA (ethylene-vinyl acetate) copolymer material is demonstrated. Strain rate dependence stress-strain behavior of EVA i...
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This study assuming constant shear friction adopts FEM simulation and the optimization to investigate into extrusion of bi-metal rod which consisted of Aluminum alloy (Core) and Copper alloy (Sleeve) with a rotating d...
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Thanks to the model-free sliding mode control (MFSMC) algorithm, we were able to overcome errors resulting from the modelling process. When this algorithm was tested in a noise-prone environment, it was observed that ...
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Stents made of nearly equiatomic NiTi alloy are used to treat malignant obstruction caused by cancer,but prevention of re-obstruction after surgery is still a challenge because the bare stents possess poor anticancer ...
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Stents made of nearly equiatomic NiTi alloy are used to treat malignant obstruction caused by cancer,but prevention of re-obstruction after surgery is still a challenge because the bare stents possess poor anticancer and antibacterial properties to inhibit cancer/bacteria *** present work aims at endowing the NiTi alloy with anticancer and antibacterial abilities by surface ***–Ti–O nanoporous layers with different thicknesses were prepared on NiTi by anodization,and biological experiments were conducted to evaluate the effects on gram-positive Staphylococcus aureus,human lung epithelial cancer cells(A549),as well as human endothelial cells(***926).The nanoporous layer with a thickness of 10.1 lm inhibits growth of cancer cells and kill bacteria but shows little adverse effects on normal *** selectivity is related to the larger amount of Ni ions leached from the sample in the acidic microenvironment of cancer cells in comparison with normal *** Ni–Ti–O nanoporous layers are promising as coatings on NiTi stents to prevent re-obstruction after surgery.
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