Industry 4.0 will bring not only transformation to the manufacturing technologies but also to the profile of the workforce. Education system should be revised to prepare the future graduates embracing the knowledge of...
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The aim of this study is to investigate the extracted Nypa fruticans as an alternative biomaterial used for 3D printing application in the biomedical and pharmaceutical. An important substances that was extracted from...
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ISBN:
(数字)9798331505042
ISBN:
(纸本)9798331505059
The aim of this study is to investigate the extracted Nypa fruticans as an alternative biomaterial used for 3D printing application in the biomedical and pharmaceutical. An important substances that was extracted from nipa palm fruit is galactomannan, a water-soluble heteropolysaccharide. It was considered to the polysaccharide-based polymer material used to fabricate scaffold tissue by 3D printing approach for medical purposes. Emphasis was placed on the synthesis and characterization of extracted nypa fruticans as the primary material, along with glycerol and sorbitol serving as polimerization agents. Extracted nypa with 3%, 5% and 10% amout of variation glycerol and sorbitol was evaluated. The experimental procedures conducted in the laboratory facilitated the isolation, production, purification, and fabrication of the extracted nypa polymer gels. Various properties of the nypa compounds and chemical composition through Fourier-transform infrared (FTIR) Spectrometry were analyzed. Findings indicated that extracted nypa refer to ether bonds (CH2-O- CH2) observed at $875.04 \mathbf{c m}^{-1}$, identifying compound is galactomannan. This substance is classified within the polysaccharide category due to the appearance of peaks within the range of 900 to $1200 \mathrm{~cm}^{-1}$. The incorporation of different amount percentage of glycerol and sorbitol, resulted in distinct impacts on the geometry of 3D printing scaffold material laying down.
Modern aircraft compression ignition engines that seek to achieve fuel-flexible operation require ignition-assisting devices to perform reliably. Many military propulsion systems, and unmanned aircraft in particular, ...
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Modern aircraft compression ignition engines that seek to achieve fuel-flexible operation require ignition-assisting devices to perform reliably. Many military propulsion systems, and unmanned aircraft in particular, can use hot surface energy addition to improve engine performance. An analysis of the thermomechanical stress behavior of hot surface ignition devices is therefore critical to ensure that they can satisfy new operational requirements. In this paper, a phenomenological heat-flux model is proposed to simulate heat generation inside a heating element. Two finite element analysis models are established using the proposed heat-flux model in order to characterize the transient thermomechanical behavior of an ignition assistant: a two-dimensional (2-D) axisymmetric model with an equivalent cylindrical heating element and a three-dimensional (3-D) solid model with realistic heating element geometry. The transient behavior of the ignition assistant is investigated at standard conditions by characterizing the temperature and thermal stress inside the device for various input voltages. The effect of the nonaxisymmetric heating element geometry on the temperature and thermal stress distribution is assessed. Furthermore, the 3-D ignition assistant model is used to analyze the thermomechanical behavior of an ignition device subjected to a combustion event inside a rapid compression machine. Multiple circumferential orientations of the heating element plane relative to the spray axis are investigated. Results demonstrate that the observed maximum principal stress depends significantly on heating element orientation.
Recently, Japan has been facing various social issues, and to solve these problems, it is necessary to create a society where diverse people can live comfortably. To build such a society, appropriate support tailored ...
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ISBN:
(数字)9798350373332
ISBN:
(纸本)9798350373349
Recently, Japan has been facing various social issues, and to solve these problems, it is necessary to create a society where diverse people can live comfortably. To build such a society, appropriate support tailored to individuals is required, necessitating the analysis of various types of information to understand the people's needs at any given moment. In particular, analyzing non-verbal elements such as posture, facial expressions, and gestures is crucial, as these naturally indicate a person's condition. Therefore, this study focuses on human gestures, one of the non-verbal elements, and proposes a gesture recognition method using Dynamic Time Warping (DTW) and K-Means. We demonstrated that symbolic gesture recognition is possible by recording arm trajectories from skeletal measurements with an RGB-D camera.
In this work, the comparison between the Newtonian and the Power Law models was pointed out to determine the flow field within a system that includes the bypass of a narrowing zone (Stenosis) of an ideal artery. The s...
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In this work we address the formation control problem for a group of nonlinear mechanicalsystems with complete uncertain dynamics under a virtual leader-following framework. We propose a novel cooperative determinist...
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作者：
Uthayaphamornwat, VilasineeKhantachawana, AnakKitiwan, MettayaSrirussamee, KasamaTunthawiroon, Phacharaphon
School of Engineering Department of Biomedical Engineering Bangkok10520 Thailand
Faculty of Engineering Department of Mechanical Engineering Bangkok10140 Thailand
Biological Engineering Program Faculty of Engineering Bangkok10140 Thailand
School of Science Department of Physics Bangkok10520 Thailand
Devices and Systems for Energy and Environment Research Unit School of Science Bangkok10520 Thailand
School of Engineering Department of Industrial Engineering Bangkok10520 Thailand
Hydroxyapatite (HA) is one of the potential biomaterials used for treating dental defects. It can be incorporated with fluoride to enhance its anti-caries properties, though other properties could be dependent on proc...
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This study reports the effects of Cr addition on the microstructure, superelasticity and corrosion resistance improvement of CuAlBe shape memory alloy. Analysis via structural, morphological, thermal, mechanical and e...
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High performance polysulfone (PSf) membrane has been prepared for treating of batik palembang wastewater. Many investigations attempted the use of polysulfone (PSf) membranes to filtrate dilute contaminant in textile ...
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Vibration analysis is crucial for predictive maintenance of bearing systems, aiming to reduce costs and prevent failures. This paper investigates signal processing techniques such as FFTs and Hilbert Transforms for fa...
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ISBN:
(数字)9798350374575
ISBN:
(纸本)9798350374582
Vibration analysis is crucial for predictive maintenance of bearing systems, aiming to reduce costs and prevent failures. This paper investigates signal processing techniques such as FFTs and Hilbert Transforms for fault diagnosis, alongside decision tree models, particularly the J48 algorithm within the WEKA environment, for fault classification. The study emphasizes the integration of signal processing and machine learning for effective fault diagnosis and maintenance. Notably, a classification model with low computational cost has been chosen, facilitating implementation in embedded systems. This model also offers interpretability of outputs, as it is based on decision trees of frequency components obtained through preprocessing.
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