Determining the current profile along the anode-cathode line in Cu/Ni electrolyte by logger pro

In electroplating, the broad role of cathode and anode is often neglected. This study aims to simultaneously prove the electric current in the three pairs of probes in the cathode-anode direction. It also describes the effect of variations in the anode-cathode area ratio. This result proves that the greater the ratio, the greater the current density in all pairs of probes. Data retrieval used a current sensor current probe DCP-BTA Vernier displayed on a computer screen with the help of Logger Pro software. The results in the study show that the current at every point in the measurement has a less identical graph. In electroplating, nickel (Ni)-1 has a relatively constant amplitude than nickel (Ni)-2. The variation of the anode area ratio at the first nickel (Ni) is 1: 0.821. The ratio of the anode area to the second nickel (Ni) is 1: 0.343. From the analysis results, the first nickel (Ni) has a relatively constant amplitude compared to the second nickel (Ni).

Influence of the Sputtering Technique and Thermal Annealing on YSZ Thin Films for Oxygen Sensing Applications

Yttria-stabilized zirconia (YSZ) thin films were deposited using direct current (reactive and metallic) and radio frequency magnetron sputtering. The effect of the deposition technique and annealing treatment on the microstructure and crystallinity of the thin films was assessed. Using the films produced in this work, oxygen gas sensors were built and their performance under vacuum conditions was evaluated. All the films exhibited a cubic crystalline structure after a post-deposition thermal treatment, regardless of the sputtering technique. When the annealing treatment surpassed 1000 °C, impurities were detected on the thin film surface. The oxygen gas sensors employing the reactive and oxide-sputtered YSZ thin films displayed a proportional increase in the sensor current as the oxygen partial pressure was increased in the evaluated pressure range (5 × 10−6 to 2 × 10−3 mbar). The sensors which employed the metallic-deposited YSZ films suffered from electronic conductivity at low partial pressures.

Web-Based DC Motor Speed Design and Control

This research discusses about web based speed control of DC motor. This research is a development research. The development that is design and assemble a speed control of DC motor so that becomes function work well. The result of research is speed control of DC motor and monitoring value of voltage, current and rotation speed from DC motor. Speed control of DC motor using PWM on the NodeMCU while monitoring of voltage, current and rotation speed from DC motor using voltage sensor, current sensor, and inductive proximity sensor. The results show that the system is great working. On the readings of the voltage value using voltage sensor and multimeter digital, there is a difference value between 0,01 to 0,13 Volt. While for the readings of the current value using current sensor ACS712 and multimeter digital, there is a difference average 0,01 Ampere. Proximity sensors are used by monitoring of the rotation speed of DC motor. The result is this sensor is working and function well. Penelitian ini membahas tentang pengendalian kecepatan motor DC menggunakan web. Penelitian ini merupakan penelitian pengembangan. Pengembangan yang dilakukan ialah merancang dan merakit sebuah web dan alat pengendali kecepatan motor DC sehingga menjadi satu kesatuan dan dapat berfungsi dengan baik. Hasil dari penelitian ini adalah mengatur kecepatan motor DC serta monitoring nilai tegangan, nilai arus dan nilai kecepatan putaran pada motor DC. Pengendalian kecepatan motor DC dilakukan dengan mengatur PWM pada NodeMCU sedangkan monitoring tegangan, arus dan kecepatan putaran motor DC menggunakan sensor tegangan, sensor arus ACS712 dan sensor proximity induktif. Hasil penelitian menunjukkan bahwa sistem bekerja dengan baik. Pada pembacaan tegangan menggunakan sensor tegangan dan multimeter digital terdapat selisih antara 0,01 sampai 0,13 Volt. Sedangkan untuk pembacaan nilai arus menggunakan sensor arus ACS712 dengan multimeter digital, terdapat selesih rata-rata 0,01 Ampere. Sensor proximity digunakan sebagai monitoring kecepatan putaran pada motor DC. Hasil menunjukkan bahwa sensor ini bekerja dengan baik sesuai dengan fungsinya.

Monitoring of PV Panels and Measurement System for Solar

Solar energy is free to utilize because it is a characteristic perpetual source, which is accessible in a wide assortment of areas on the Earth. In this project, the Photovoltaic (PV) checking and estimation Structure, this is created to know the simple combination of programming and equipment. Since the ease microcontroller utilized in this venture it is exceptionally easy to use. The information of testing Structure the Photovoltaic (PV) is planned by utilizing the light sensor, temperature sensor, voltage sensor, current sensor, Arduino Uno, and Node MCU. The light force is evaluated by utilizing an LDR sensor, voltage is observed by utilizing module by voltage Sensor, the current is observed by utilizing ACS712 current sensor, and temperature is evaluated by utilizing temperature sensor (LM35). To do the measurement in the microcontroller we have taken the values from photovoltaic cell(through the sensors) and all this information are shown on a 20x4 LCD and showed to your cell phone and PC through Node MCU (server blynk).

Fuzzy logic-based connected robot for home rehabilitation

In this paper, a robotic system dedicated to remote wrist rehabilitation is proposed as an Internet of Things (IoT) application. The system offers patients home rehabilitation. Since the physiotherapist and the patient are on different sites, the system guarantees that the physiotherapist controls and supervises the rehabilitation process and that the patient repeats the same gestures made by the physiotherapist. A human-machine interface (HMI) has been developed to allow the physiotherapist to remotely control the robot and supervise the rehabilitation process. Based on a computer vision system, physiotherapist gestures are sent to the robot in the form of control instructions. Wrist range of motion (RoM), EMG signal, sensor current measurement, and streaming from the patient’s environment are returned to the control station. The various acquired data are displayed in the HMI and recorded in its database, which allows later monitoring of the patient’s progress. During the rehabilitation process, the developed system makes it possible to follow the muscle contraction thanks to an extraction of the Electromyography (EMG) signal as well as the patient’s resistance thanks to a feedback from a current sensor. Feature extraction algorithms are implemented to transform the EMG raw signal into a relevant data reflecting the muscle contraction. The solution incorporates a cascade fuzzy-based decision system to indicate the patient’s pain. As measurement safety, when the pain exceeds a certain threshold, the robot should stop the action even if the desired angle is not yet reached. Information on the patient, the evolution of his state of health and the activities followed, are all recorded, which makes it possible to provide an electronic health record. Experiments on 3 different subjects showed the effectiveness of the developed robotic solution.

Perancangan Sistem Efisiensi Penggunaan Energi Listrik Menggunakan Sensor Gerak dan Sensor Arus

Efficiency system in using electrical energy has been designed using a PIR motion sensor, current sensor SCT-013-030, infrared LED and relay with a controller using Arduino Uno. The system is designed to turn off electronic equipment such as air conditioners, projectors and lights automatically as a solution from users forgetting to turn off electronic equipment when it is no longer in use. The experimental results show that the system has been running well, where the system can detect no movement for a predetermined time by using a PIR motion sensor. Detection of electronic equipment using sensors SCT-013-030 has been able to distinguish the state of the equipment whether it is ON or OFF based on differences in sensor output data that is read by the Arduino analog port. Sensor data when detecting the lamp when OFF is average = 1.333 while the mini projector and TV when off the average sensor data value = 1.667. The average current sensor data when detecting lights when ON = 5,333, mini projector = 8,333 and TV = 11,333. Overall the system designed has been able to turn off the equipment that is still active when the sensor does not detect any human movement during a predetermined time

Penampil Gelombang Tegangan dan Arus Berbasis Arduino Due untuk Generator AC Tiga Fasa

ABSTRAKDalam pengembangan generator tiga fasa magnet permanen diperlukan pengukuran besaran-besaran untuk melihat karakteristik generator. Besaran yang biasanya diukur adalah tegangan, arus, dan daya, namun bentuk gelombang keluaran tegangan dan arus tiap fasa kurang diperhatikan apakah sinus atau tidak. Maka perlu dirancang sebuah sistem yang bisa menampilkan bentuk gelombang tegangan dan arus sekaligus. Sistem ini diimplementasikan menggunakan sensor tegangan, sensor arus, rangkaian pengondisi sinyal, Arduino Due, dan komputer sebagai penampil menggunakan bahasa Python. Hasil pengujian diperoleh bahwa sistem bisa menampilkan bentuk gelombang keluaran tegangan dan arus, menampilkan nilai maksimum, minimum, rerata, dan rms. Nilai galat rata-rata untuk ketiga pengukuran tegangan adalah 1%, dan untuk pengukuran arus adalah 3,15%.Kata kunci: gelombang tegangan dan arus, Arduino Due, Python, tiga fasa ABSTRACTThe development of three phase permanent magnet generators require the measurement of related quantities to determine the characteristics of generator. The common measured quantities are voltage, current, and power. However the voltage and current output waveforms of each phase are not considered. Therefore a system is designed which is able to display voltage and current waveforms at once. This system is implemented using a voltage sensor, current sensor, signal conditioning circuit, Arduino Due, and a computer as a GUI using the Python programming language. The results of implementation and testing show that the GUI is able to display the voltage and current output waveforms, in addition, performs the maximum, minimum, average, and rms values. The average error value for the three voltage measurements is 1%, and for the three current measurements is 3.15%.Keywords: voltage and current waveforms, Arduino Due, Python, three phases