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A Method for Micro Powder Dispensing by Using DC Motor with a 2-Axis Vibration 利用带有双轴振动的直流电机进行微粉喷点的方法
Pub Date : 2024-01-09 DOI: 10.4028/p-pcy1mo
Muhammad Imawan Badranaya, Juan Pratama, U. A. Salim, S. Suyitno, B. Arifvianto, M. Mahardika
A comprehensive understanding of powder flow is essential, particularly in the synthesis of additives in the solid free-forming process and dosage dispensing in pharmaceutical industries. The vibration method is the most widely used for inducing powder flow. In this method, a hopper containing powder is vibrated by a piezoelectric system to allow powder flow. However, there are several drawbacks in this method, particularly in the degree of consistency of the resulting flow. This occurs because the vibration characteristics created have a single axis direction, resulting in which can lead to powder compaction. To resolve this problem, this research is conducted to determine the flow properties of titanium powder dispensed by 2-axis vibration. The titanium (Ti) powder having a size of less than 74 μm in the powder hopper was vibrated for 15 min by a DC motor and the weight of the dispensed powder was measured to evaluate the consistency of the resulting powder flow. The result shows that the powder flow generated by the DC motor was consistent during the period of dispensing. However, the powder flow rate dropped up to 8.6% during 5-10 min of dispensing at a speed of 1800 rpm. In conclusion, the 2-axis vibration by using a DC motor could prevent the powder compacting phenomenon and ensure a consistent flow of micro-sized powders during the dispensing process.
对粉末流动的全面了解至关重要,尤其是在固体自由成型工艺中添加剂的合成和制药行业的配料过程中。振动法是最广泛使用的粉末流动诱导方法。在这种方法中,通过压电系统振动装有粉末的料斗,使粉末流动。然而,这种方法也存在一些缺点,尤其是在所产生的流动的一致性方面。出现这种情况的原因是,所产生的振动特性只有一个轴方向,这可能会导致粉末压实。为解决这一问题,本研究旨在确定通过双轴振动分配的钛粉的流动特性。通过直流电机对粉末料斗中尺寸小于 74 μm 的钛(Ti)粉末进行 15 分钟的振动,并测量分配粉末的重量,以评估所产生的粉末流动的一致性。结果表明,直流电机产生的粉末流量在分配期间保持一致。然而,在转速为 1800 转/分的情况下,粉末流动率在 5-10 分钟内下降了 8.6%。总之,使用直流电机进行双轴振动可以防止粉末压实现象,并确保在点胶过程中微尺寸粉末的稳定流动。
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引用次数: 0
Technologies and Processes in Applied Mechanics and Materials Research 应用力学和材料研究中的技术与工艺
Pub Date : 2024-01-09 DOI: 10.4028/b-o5vy53
K. A. Razak, A. D. Pramata, Anif Jamaluddin, Dwinanto Sukamto
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引用次数: 0
The State of Charge Estimation of LiFePO4 Batteries Performance Using Feed Forward Neural Network Model 利用前馈神经网络模型估计磷酸铁锂电池的充电状态
Pub Date : 2024-01-09 DOI: 10.4028/p-iidzs6
E. Dyartanti, Anif Jamaluddin, Muhammad Farrel Akshya, Dimas Zuda Fathul Akhir, H. S. E. A. Gustiana, Agus Purwanto, Aficena Himdani Ilmam Abharan, Muhammad Nizam
Lithium-ion batteries like LiFePO4 become a new choice for electrical energy sources in the world and can be used on electric vehicles. Battery packs monitoring by Battery Management System in electric vehicles require accurate monitoring. The inaccuracy of monitoring such property can lead to low safety, low efficiency and battery’s life reduction. Estimating state of charge (SoC) to prevent battery damage from overcharging and over discharging. Some of the methods used to estimate SoC such as Coulomb Counting have errors during the charge and discharge process. This research proposes a counting method for measuring SoC with the artificial neural networks (ANN) to provide more precise estimation. Feed Forward Neural Network (FFNN) is an ANN model that can give an accurate estimation of SoC by learning data of the charge-discharge process performed on sample batteries. The sample batteries are tested with a battery analyzer to get its charging-discharging data consisting of variables such as voltage, current, capacity, and time with C-Rate variations. These variables data are then learned by the modeled FFNN to predict SoC value. The FFNN model consisted of 16 neurons in the first layer, 8 neurons in the second layer, and 4 neurons in the third layer. The predicted SoC value from FFNN has a similar value with its real SoC value. The relationship between SoC and battery voltage is plotted in a curve and shows an identical characteristic with how the SoC-Voltage curve of a battery should be and have a low mae value. This FFNN model can be applied further such as in electric vehicles to maintain its safety and for longer use.
磷酸铁锂电池(LiFePO4)等锂离子电池已成为世界电力能源的新选择,并可用于电动汽车。电动汽车电池管理系统对电池组的监控需要精确的监测。对这种特性的监测不准确会导致低安全性、低效率和电池寿命缩短。估算充电状态(SoC)可防止电池因过度充电和过度放电而损坏。用于估算 SoC 的一些方法(如库仑计数法)在充放电过程中会出现误差。本研究提出了一种利用人工神经网络(ANN)测量 SoC 的计数法,以提供更精确的估算。前馈神经网络(FFNN)是一种人工神经网络模型,可通过学习样本电池充放电过程的数据来准确估算 SoC。使用电池分析仪对样本电池进行测试,以获得由电压、电流、容量和时间等变量组成的充放电数据,其中包括 C 率变化。建模的 FFNN 通过学习这些变量数据来预测 SoC 值。FFNN 模型的第一层有 16 个神经元,第二层有 8 个神经元,第三层有 4 个神经元。FFNN 预测的 SoC 值与实际 SoC 值相似。SoC 与电池电压之间的关系绘制成一条曲线,并显示出与电池 SoC-Voltage 曲线相同的特征,且具有较低的 mae 值。该 FFNN 模型可进一步应用于电动汽车等领域,以确保其安全性和更长时间的使用。
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引用次数: 0
Fatigue Crack Growth of AISI 1020 Steel Grade in Pre-Deformed Condition 预变形条件下 AISI 1020 钢级的疲劳裂纹生长
Pub Date : 2024-01-09 DOI: 10.4028/p-1hbx2o
M. Badaruddin, Jesi Tiastuti, Tri Budi Utami, H. Supriadi, Zulhanif Zulhanif
In the present research, the fatigue crack growth (FCG) of AISI 1020 steel with and without pre-deformation were characterized by using MTS Landmark 100 kN under fatigue loading at ratio (R) = 0.3, Pmax = 0.7 and f = 10 Hz at room temperature. Tensile test results show that 6.25% pre-deformation given on the steel increases of yield strength. In contrast, the ultimate tensile strength, elastic modulus and elongation decrease. The FCG rate (da/dN) of AISI 1020 steel without pre-deformation determined at stage II is 6.12´10-11ΔK2.94 m/cycle and steel with 6.25% pre-deformation is 8.03´10-10ΔK2.02 m/cycle. According to microstructural observation for the pre-deformation steel, plastic deformation formed on the steel in the axial direction affects the FCG rate of the steel, leads to crack retardation for certain period of time. SEM fractographic observation on the fracture surface of the steel shows that a transgrannular crack length of 12 mm for 42,000 cycles occurs at ferrite grains. The steel failed when the crack length reached ~18.1 mm within 43,500 cycles and continuing up to 43,549 cyles, the steel experienced static failure.
在本研究中,使用 MTS Landmark 100 kN 在比率 (R) = 0.3、Pmax = 0.7 和 f = 10 Hz 的室温疲劳加载条件下,对有预变形和无预变形的 AISI 1020 钢的疲劳裂纹生长(FCG)进行了表征。拉伸试验结果表明,钢材 6.25% 的预变形提高了屈服强度。相反,极限拉伸强度、弹性模量和伸长率则有所下降。在第二阶段测定的未进行预变形的 AISI 1020 钢的 FCG 率(da/dN)为 6.12´10-11ΔK2.94 m/周期,而进行了 6.25% 预变形的钢的 FCG 率为 8.03´10-10ΔK2.02 m/周期。根据对预变形钢材的微观结构观察,钢材在轴向形成的塑性变形影响了钢材的 FCG 率,导致裂纹在一定时间内延迟。对钢材断裂面的 SEM 分形观察表明,在 42,000 次循环中,铁素体晶粒处出现的跨晶裂纹长度为 12 mm。在 43,500 个循环周期内,当裂纹长度达到约 18.1 毫米时,钢材发生静态失效。
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引用次数: 0
Implementation of Vue Js and Laravel on Monitoring Battery Management System 在电池监测管理系统中实施 Vue Js 和 Laravel
Pub Date : 2024-01-09 DOI: 10.4028/p-xyjc8o
Fendi Aji Purnomo, Dewi Maharani Setyaningsih, Gravilian Megarifera Liset, Rike Aqila Nurfi, Sugeng Sulistyawan, Windhu Griyasti Suci, Agus Purwanto, H. Aliwarga
This study aims to develop an Internet of Things (IoT) based Battery Management System that monitors battery operation and performance in real-time. They used an Agile Methodology to build a BMS Monitoring System, using the Vue js framework and Laravel. The battery monitoring system provides information on battery temperature, current, and voltage data, essential for monitoring battery conditions below or over limits. The interface is accessible via desktop and mobile devices. This research resulted in real-time temperature (temperature on sensor 1, temperature on sensor 2, temperature on sensor 3, and maximum temperature limit) , current (maximum current limit, current total, and minimum current limit) , and voltage (maximum voltage limit, total voltage, and minimum voltage limit) monitoring based on certain time intervals.
本研究旨在开发一个基于物联网(IoT)的电池管理系统,实时监控电池的运行和性能。他们采用敏捷方法论,使用 Vue js 框架和 Laravel 构建了一个 BMS 监控系统。电池监控系统提供电池温度、电流和电压数据信息,对于监控低于或超过限制的电池状况至关重要。该界面可通过台式机和移动设备访问。这项研究的成果是根据特定的时间间隔对温度(传感器 1 的温度、传感器 2 的温度、传感器 3 的温度和最高温度限制)、电流(最大电流限制、总电流和最小电流限制)和电压(最大电压限制、总电压和最小电压限制)进行实时监控。
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引用次数: 0
Preliminary Study on the Potential of Krueng Mane River Sand for Metal Casting Use 关于 Krueng Mane 河砂用于金属铸造的潜力的初步研究
Pub Date : 2024-01-09 DOI: 10.4028/p-k3gxik
Muhammad Yusuf, Syamsul Bahri, Agustinawati Agustinawati, M. Sayuti, Irfan Maulana Maulana, Teuku Razan Bilza
Sand casting is a metal casting process to make a component by pouring molten metal into the sand mold. The casting process, the sand is the fundamental material used for mold making. The sand used is generally silica sand, river sand, mountain sand, and beach sand. The sand for molding must have requirements such as having formability, suitable permeability, good distribution of sand grain size, resistance to high temperatures, suitable binder composition, and sand must be cheap. This study investigated to determine the potential of Krueng Mane river sand in Aceh Indonesia for its possible use for metal casting. The important properties studied are moisture content, total clay content, grain fineness number, and grain shape. Tests are carried out following the standards and procedures defined by the American Foundrymen’s Society (AFS). Results obtained revealed that the river sand has average moisture content of 7.78 %, clay content of 3.20%, and grain fineness number (GFN) of 46. Krueng Mane river sand will be suitable for casting of casting of light steel, heavy grey steel, medium grey iron, and non-ferrous metals, with the addition of binding agent in suitable proportion.
砂型铸造是一种金属铸造工艺,通过将熔融金属浇注到砂型中来制造零件。在铸造过程中,砂是制作模具的基本材料。使用的砂子一般是硅砂、河砂、山砂和沙滩砂。造型用砂必须具有可成形性、合适的透气性、良好的砂粒分布、耐高温、合适的粘结剂成分等要求,而且砂子必须便宜。本研究旨在确定印度尼西亚亚齐省 Krueng Mane 河砂用于金属铸造的潜力。研究的重要特性包括含水量、粘土总含量、颗粒细度数和颗粒形状。测试按照美国铸造协会(AFS)规定的标准和程序进行。结果显示,河沙的平均含水量为 7.78%,粘土含量为 3.20%,颗粒细度数(GFN)为 46。在加入适当比例的结合剂后,Krueng Mane 河砂将适用于轻钢、重灰钢、中灰铁和有色金属的铸造。
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引用次数: 0
Development of Biosensor for early Detection of COVID-19 开发用于早期检测 COVID-19 的生物传感器
Pub Date : 2024-01-09 DOI: 10.4028/p-2ggh9b
Asyraf Hakimi Abu Bakar, Noorhashimah Mohamad Nor, Z. Lockman, Nor Azizah Parmin, K. A. Razak
Infectious disease such as COVID-19 is one of the major concerns in Malaysia as it becomes the second killing disease and causes huge number of death and spread to other regions of the world if left unchecked. In developed countries, infectious diseases are often preventable, but lack of medical devices in detecting it makes the death cases increase. The growth of different COVID-19 mutation has given so much challenges in detecting, preventing and curing. This gives motivation to researchers in order to solve this global problem by creating and advancing the detection tools and methods. Time, equipment availability, and the biological nature of COVID-19 influence the selection of appropriate detection techniques. This paper summarizes the comprehensive review on the type of diagnostic tests and biosensors available in detecting COVID-19 disease.
COVID-19 等传染病是马来西亚的主要关切之一,因为它已成为第二大致命疾病,如果不加以控制,会造成大量死亡并扩散到世界其他地区。在发达国家,传染病通常是可以预防的,但由于缺乏检测设备,导致死亡病例增加。不同 COVID-19 基因突变的增长给检测、预防和治疗带来了巨大挑战。这促使研究人员通过创造和改进检测工具和方法来解决这一全球性问题。时间、设备的可用性以及 COVID-19 的生物特性影响着适当检测技术的选择。本文对检测 COVID-19 疾病的诊断测试和生物传感器类型进行了全面综述。
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引用次数: 0
The Start-Up Phase of Aluminum Billet Production Using Direct Chill Casting 使用直接冷铸技术生产铝棒的启动阶段
Pub Date : 2024-01-09 DOI: 10.4028/p-ak62ye
Kardo Rajagukguk, S. Suyitno, H. Saptoadi, Indraswari Kusumaningtyas, U. A. Salim, B. Arifvianto, M. Mahardika
Direct chill (DC) casting has been considered as one of the promising casting methods that can be used to produce aluminum alloys billet. The process is conducted by pouring aluminum metal into a water-cooled mold. The billet shell begins to form when molten aluminum contact directly with the mold (this is also known as primary cooling). Afterward, the starting block is pulled downwards at a specified casting speed to achieve desired aluminum billet. The start-up phase during the DC casting process is considered a crucial step since it may determine the formation of defects in the casting products. This research aims to investigate the casting defects on the aluminum alloy that were formed during the start-up process of DC casting. The results show that the billet failed to form following the downward movement of starting block. Meanwhile, the billet tended to stick to the mold wall due to several factors, such as too low a pouring temperature, a less-round mold shape, the poor quality of the hot top and graphite ring, and the water that entered the mold during the casting process. It also noted several markers of the casting defects that occurred during the DC casting process such as liquation or bleeding, cold folding, billet stuck in the mold, butt structure, and rough billet surface.
直接冷却(DC)铸造被认为是生产铝合金坯料最有前途的铸造方法之一。该工艺是将铝金属浇注到水冷模具中。当熔融铝与模具直接接触时,坯壳开始形成(这也被称为一次冷却)。然后,以规定的铸造速度向下拉动起始块,以获得所需的铝坯。直流铸造过程中的启动阶段被认为是一个关键步骤,因为它可能决定铸造产品中缺陷的形成。本研究旨在调查直流铸造启动过程中形成的铝合金铸造缺陷。结果表明,随着起始块的向下运动,铸坯未能成型。同时,由于浇注温度过低、模具形状不圆、热顶和石墨环质量差以及浇注过程中进入模具的水等因素,铸坯有粘在模具壁上的趋势。它还注意到在直流浇注过程中出现的浇注缺陷的几个标记,如液化或渗漏、冷折、坯体卡在模具中、对接结构和粗糙的坯体表面。
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引用次数: 0
Malathion Detection Using Molecularly-Imprinted Polymer Quartz Crystal Microbalance Sensor 利用分子印迹聚合物石英晶体微天平传感器检测马拉硫磷
Pub Date : 2024-01-09 DOI: 10.4028/p-qv7kci
M. D. Balela, Geramheen Z. Dela Vega, Yasmin Yvon A. Suyat
The extensive use of pesticides can result in overexposure and soil, water, and produce residues. For instance, residues of malathion were found on some vegetables. Molecularly-imprinted polymers (MIP) have been recently developed for sensing of pesticide residues. This study prepared malathion-imprinted polymers via precipitation polymerization and deposited on quartz crystal microbalance (QCM) electrodes. FTIR spectroscopy proved the incorporation and removal of malathion in the matrix of MIP. SEM images revealed that MIP particles are larger than the non-imprinted polymer (NIP) particles due to the incorporation of malathion. Binding experiments were done using standard malathion solutions of 10 to 60 ppm. The MIP-QCM sensor had a greater response than the NIP-QCM sensor. This is due to the specific binding sites in the MIP matrix. On the other hand, the response of NIP-QCM sensor is attributed to the non-specific adsorption sites in its matrix. A sensitivity and detection limit of 1.62 Hz·L/mg and 5.67 ppm, respectively were determined for the MIP-QCM sensor. Lastly, the MIP-QCM sensor is stable and reusable up to three (3) cycles.
杀虫剂的广泛使用可能会导致过度接触以及土壤、水和农产品的残留。例如,在一些蔬菜上发现了马拉硫磷残留物。最近开发了分子印迹聚合物(MIP),用于检测农药残留。本研究通过沉淀聚合法制备了马拉硫磷印迹聚合物,并将其沉积在石英晶体微天平(QCM)电极上。傅立叶变换红外光谱证明了马拉硫磷在 MIP 基质中的掺入和去除。扫描电镜图像显示,由于马拉硫磷的加入,MIP 颗粒比非压印聚合物(NIP)颗粒更大。使用 10 至 60 ppm 的标准马拉硫磷溶液进行了结合实验。MIP-QCM 传感器比 NIP-QCM 传感器的反应更大。这是由于 MIP 矩阵中存在特定的结合位点。另一方面,NIP-QCM 传感器的响应则归因于其基质中的非特异性吸附位点。MIP-QCM 传感器的灵敏度和检测限分别为 1.62 Hz-L/mg 和 5.67 ppm。最后,MIP-QCM 传感器性能稳定,可重复使用三 (3) 次。
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引用次数: 0
Factors Affecting the Sustainable Secure Supply of Minerals 影响矿产品可持续安全供应的因素
Pub Date : 2024-01-09 DOI: 10.4028/p-guccy2
Meisam Saleki, Mohd Hazizan Mohd Hashim
Sustainability is one of the most challenging concepts in the global mining industry. The purpose of this is to limit the harmful effects of mineral extraction on the environment and at the same time to meet the present and future needs of civilization. Therefore, we should blaze the path leading to sustainability and supply security, as well as identify the factors affecting these concepts. Thus, in this paper, the main factors are listed and defined. They are divided into two main categories: the positives and the negatives. The positives are the longevity of the minerals' mining, the index of the annual met need, the environmental-social condition of the resources, and the condition of the resources in friend countries. Also, the negative ones are the harmful chemicals released, the energy required per ton of minerals, annual CO2 emitted per ton, and recyclability. Accordingly, the factors can be used to make a strategic plan for the future of the minerals supply of a country. So, the framework developed leads the authorities to find the solutions to the sustainability of minerals' supply and increase the security of mining productions.
可持续性是全球采矿业最具挑战性的概念之一。其目的是限制矿物开采对环境的有害影响,同时满足人类文明现在和未来的需求。因此,我们应该开辟通往可持续发展和供应安全的道路,并找出影响这些概念的因素。因此,本文列出并定义了主要因素。这些因素分为两大类:积极因素和消极因素。积极因素包括矿产开采的寿命、每年满足需求的指数、资源的环境-社会条件以及友国的资源条件。此外,负面因素包括释放的有害化学物质、每吨矿物所需的能源、每吨矿物每年排放的二氧化碳以及可回收性。因此,这些因素可用于制定一个国家未来矿产供应的战略计划。因此,所制定的框架可引导当局找到矿产供应可持续性的解决方案,并提高采矿生产的安全性。
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引用次数: 0
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Applied Mechanics and Materials
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