Pelapisan Alumina pada Stainless Steel dengan Teknik Electrophoretic Deposition: Pengaruh Rapat Arus

Electrophoretic Deposition (EPD) adalah suatu teknik yang digunakan untuk membuat benda atau melapisi benda lain. Parameter yang berpengaruh terhadap hasil EPD terdiri atas dua bagian yaitu suspensi dan sistem kelistrikan. Teknik EPD dikembangkan untuk membuat laminat, lapisan tipis dan coating, functionally graded materials (FGMs), dan keramik bertekstur. Bidang aplikasi EPD relatif luas, di antaranya lapisan untuk ketahanan temperatur tinggi, pembuatan penyangga katalis, sensor, sel surya, sel bahan bakar, dan material untuk implantasi. Studi ini menginvestigasi EPD untuk pelapisan alumina pada stainless steel. Teknik ini relatif mudah diaplikasikan. Penelitian diawali dengan sintesis aluminum hidroksida dari aluminum sulfat dan urea. Partikel hasil sintesis kemudian digunakan untuk membuat suspensi untuk EPD. Karakterisasi sistem suspensi meliputi pengukuran diameter partikel dengan teknik Dynamic Light Scattering (DLS), identifikasi mineral dengan X ray Diffraction (XRD), serta pengukuran zeta potensial dan konduktivitas suspensi dengan instrumen Malvern. Pemrosesan dengan EPD dilakukan pada elektroda seluas 6,25cm2, jarak 2 cm dengan variasi rapat arus dari 0,02 hingga 2,61 mA/cm2 selama 3 menit. Setelah dilakukan pelapisan, sampel disinter pada temperatur 1100oC selama 2 jam. Selanjutnya sampel diamati dengan scanning electron microscope. Berdasarkan pengamatan, lapisan yang paling rapat dihasilkan dari proses EPD dengan rapat arus 0,7 mA/cm2. Rapat arus merupakan parameter proses EPD yang sangat berpengaruh terhadap hasil. Rapat arus yang terlalu rendah tidak mampu membentuk lapisan, sedangkan rapat arus yang terlalu tinggi menyebabkan lapisan tidak melekat erat dan rapuh

Analisa Komposisi Material Barium M-Heksaferit (BAM) Berbahan Dasar Pasir Besi Pantai Cilacap dan Taluk Kuantan

Analyzing the material composition of iron sand from Cilacap beach and iron sand from Taluk Kuantan beach in Riau. In this research, the synthesis of barium M-Hexaferrite is made from iron sand from Cilacap beach and iron sand from Taluk Kuantan beach, Riau. In the research method, the test was carried out using composition analysis with FTIR test. The characteristics of the test using the FTIR test that the iron sand of the Cilacap beach has an Fe content of 86.53% and does not carry out refining. while the iron sand of Taluk Kuantan beach has an Fe content of 82.86% and is not purified. Based on the wave number value, BAM doped with Cu has the best wave number value and the highest transmittance value is around 92% at wavelengths from 1467.03 to 669.56 cm−1

Design of a Marine Weather Monitoring System Based on an Arduino System

The need for information about weather conditions in a particular environment is very necessary for the community, so that they can plan activities for the future. A forecaster cannot process data to predict weather or climate conditions if it is not accompanied by historical data within a predetermined time period. Data is a very important savings for future generations, because data will make the nation's generation smart. Without data, all previous information would not be known to be studied. The current condition of the earth is very worrying and not easy to predict. Therefore, it is very important to have integrated observations and services in coastal and marine areas to support resilience to climate change and other marine hazards.Sustainable marine observations and services are very important and relevant to reduce potential problems and threats arising from climate change.In this paper we will discuss the creation of a tool for monitoring weather, where this tool will take data on humidity, temperature and rainfall. so that from this data we can predict weather conditions in the area. By using the fuzzy method, the combination of these three data can be used by fishermen to make decisions about whether it is still safe to go to sea.The system is built based on Arduino using muoring buoy media. where this tool will be placed in the sea. The power supply system uses solar cells, so that it can independently meet the power needs of the equipment. From the test results the system can work normally and well

Design of a System for Checking Paint Results on the Ship's Hull to Prevent corrosion

Corrosion is damage caused by chemical reactions between metal materials and other natural elements and is destructive to metal. Corrosion is a weakness in ships made of steel, namely because the rate of ship corrosion, fatigue life is reduced, tensile strength and other mechanical properties are reduced. Corrosion is concentrated on only certain parts. In metal corrosion current flow out onto other parts of the metal surface. Corrosion gastric plates result in reduction Hull panel strength, slowing the ship and reduces security guarantees. The hull must be protected from corrosive attacks routine to prevent loss of additional plates substantially due to seawater corrosion. For Prevent hull corrosion in the painting process for coating, cathodic protection process. In this article, a system for automatically detecting ship hull painting results using image processing is explained. This system will be developed into a portable system. The results obtained show that the system is able to recognize whether the painting results can be accepted or rejected. Accepted means no need to repaint. and if it is rejected, it means a repainting process is needed

Design of ANFIS system to detect the condition of generator set model P22-6 based on Omron CJ1M PLC

The application of machine monitoring systems is currently increasingly needed, one of which is on generators. Generator sets are one of the important elements in providing energy needed in company operations. However, to ensure optimal performance and prevent unexpected engine damage, careful monitoring of the generator set's operational conditions is required, especially of key variables such as temperature, rotation speed, and engine vibration. The purpose of this study is to identify the condition of the generator set using three parameters. In this research, adaptive neuro fuzzy inference system (ANFIS) is used as a tool to model the relationship between inputs (temperature, speed, and vibration) and outputs (engine condition). The dataset for normal conditions amounted to 25 data and for abnormal conditions amounted to 25 data. From this data, an RMSE of 0.000032 was obtained in the 3-3-5 membership function structure with a trapezoidal type membership function. And at the stage of applying fuzzy to the Omron PLC, the RMSE is 0. Simulations are carried out to test the effectiveness of ANFIS in predicting machine conditions based on monitored parameters