Automation in construction has the potential to expand the technological landscape of labor intensive tasks, and bring gains in efficiency and productivity to sustain global competitiveness. In this paper we propose a...
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In this study, highly porous forsterite scaffolds with interconnected porosities were synthesized using multi-step sintering(MSS) method. The starting powder was nanosized forsterite, which was synthesized from talc a...
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In this study, highly porous forsterite scaffolds with interconnected porosities were synthesized using multi-step sintering(MSS) method. The starting powder was nanosized forsterite, which was synthesized from talc and magnesium carbonate powders. The phase composition, average particle size and morphology of the produced forsterite powder were characterized by X-ray diffraction technique(XRD) and transition electron microscopy(TEM). Forsterite scaffolds were produced by foamy method using polymeric sponges. MSS process including three steps was used to efficiently sinter the forsterite nanopowders without destroying the initial porous structure of polymeric sponges. The results showed that MSS technique is an efficient and appropriate procedure to produce highly porous forsterite scaffolds with pore size in the range of 100-300 μm. The compressive strength, compressive modulus and porosity of C12 specimen(sintered at 1650℃ for 1 h with subsequent annealing at 1000℃ for 1000 min) was 1.88 MPa, 29.2 MPa, and 72.4%, respectively, which is very close to that of cancellous bone. The approach studied in this research can be developed for other nanostructure ceramics to produce highly porous scaffolds with interconnected porosities for load bearing applications.
In this work, we propose an end-to-end graph network that learns forward and inverse models of particle-based physics using interpretable inductive biases. Physics-informed neural networks are often engineered to solv...
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作者：
Yenphayab, C.Mechanical Engineering Program
Department of Engineering King Mongkut's Institute of Technology Ladkrabang Prince of Chumphon Campus Chumphon86160 Thailand
This study aims to investigate the performance of the advance siphon pump, which is an indigenous knowledge of free energy pump. It was introduced to investigate the potential of conveying water by using the energy eq...
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Over the past 50 years, researchers have repeatedly proposed the establishment of a new interdisciplinary engineering field in engineering for Global Development (EGD), whose analytical tools and design processes resu...
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Research on electromyographic (EMG) signals is intensively carried out to help disabled people to control prosthetic hands. Neural Networks have been widely used in research on the classification of finger movements u...
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Hybrid vehicles utilize multiple power sources, making them energy-efficient and enhancing both fuel efficiency and dynamic performance. As a result, hybrid vehicles have recently been adopted as race cars, which dema...
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Hybrid vehicles utilize multiple power sources, making them energy-efficient and enhancing both fuel efficiency and dynamic performance. As a result, hybrid vehicles have recently been adopted as race cars, which demand high powertrain performance. The hybrid vehicle system comprises two power sources: an internal combustion engine (ICE) and an electric motor, both of which require precise control. Controlling the output of the internal combustion engine is particularly challenging. This study investigated the dynamic response of an actuator in an electronic throttle system. The experimental results demonstrated that optimized parameters significantly improved the dynamic response. As a result, we propose a mechanism for hybrid vehicle performance and report the characteristics of an electronic throttle. The improvement in throttle opening can be verified by adjusting the P term.
Electric vehicle (EV) is increasingly becoming an alternative vehicle of choice to replace an internal combustion engine-powered car. EV concept is clearly linked to sustainable development. Generally, there are four ...
Electric vehicle (EV) is increasingly becoming an alternative vehicle of choice to replace an internal combustion engine-powered car. EV concept is clearly linked to sustainable development. Generally, there are four types of EVs: hybrid, plug-in hybrid, battery, and fuel cell EVs. The form of energy source and storage plays a key role for all EVs. Mostly, a lithium-ion battery (high-voltage battery) is used as energy storage due to its high energy density and long-life cycle. But, high rates of charging and discharging bring about high temperatures of the lithium-ion battery, reducing its useful lifetime. A battery thermal management system (BTMS) is crucial in improving EV performance. Here, in this work, we presented an overview of BTMS employed in the EV development, as well as applications of machine learning techniques to predict and optimize BTMS performance based on fast-charging protocols. Additionally, BTMS based on tropical environmental conditions like in Thailand was also discussed.
An accurate depth map of the environment is critical to the safe operation of autonomous robots and vehicles. Currently, either light detection and ranging (LIDAR) or stereo matching algorithms are used to acquire suc...
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ISBN:
(数字)9781728173955
ISBN:
(纸本)9781728173962
An accurate depth map of the environment is critical to the safe operation of autonomous robots and vehicles. Currently, either light detection and ranging (LIDAR) or stereo matching algorithms are used to acquire such depth information. However, a high-resolution LIDAR is expensive and produces sparse depth map at large range; stereo matching algorithms are able to generate denser depth maps but are typically less accurate than LIDAR at long range. This paper combines these approaches together to generate high-quality dense depth maps. Unlike previous approaches that are trained using ground-truth labels, the proposed model adopts a self-supervised training process. Experiments show that the proposed method is able to generate high-quality dense depth maps and performs robustly even with low-resolution inputs. This shows the potential to reduce the cost by using LIDARs with lower resolution in concert with stereo systems while maintaining high resolution.
The various 2D two-dimensional materials were synthesized great consideration due to the exceptional properties and excellent performance in the, energy storage, catalysis, electronics and energy renovation process. T...
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