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All Journal IPTEK Journal of Proceedings Series JMES The International Journal of Mechanical Engineering and Sciences Bulletin of Chemical Reaction Engineering & Catalysis
Suwarno, Suwarno
Department Of Mechanical Engineering, Institut Teknologi Sepuluh Nopember
Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Energy Materials Science & Nanotechnology Mechanical Engineering

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Prediction of Gas Turbine Blade Lifetime Using Artificial Neural Network Dewanto, Nurcahyo Herwin; Suwarno, Suwarno
IPTEK Journal of Proceedings Series No 1 (2019): 4th International Seminar on Science and Technology 2018 (ISST 2018)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2019i1.5122

Abstract

Turbine blade is a critical component in a gas turbine that converts combustion energy into electricity. Due to its high temperature and pressure operation, maintenance of this component is crucial. The manufacturer normally has guidance of maintenance, i.e. different type of maintenance scheme is performed so-called A-B-A-C scheme which is performed every 6,000 equivalent operation hour (EOH). In A and B type inspection, visual inspection is done to turbine blade, and monitoring in next inspection is done if damages found. Turbine blade is replaced at C-Inspection (24,000 EOH) due to availability of power plant. The first stage turbine blade is made of nickel-based superalloy, and damages like missing material, crack, hole, coating spallation found during inspection. Accurate life prediction is need to ensure safety of gas turbine operations. In this paper lifetime prediction using ANN (Artificial Neural Network) used to predict the lifetime of gas turbine blade 145 MW Muara Tawar Power Plant. For input variable we use operation data and for target we use the amount of defect. After several times of training and testing show that network model with 8 inputs, 20 neurons, and 7 targets with MSE (Mean Square Error) 5.42E-02 and R (Regression) 9.85E-01 is able to predict defect as consideration that lifetime of turbine blade will reach one operation cycle
Risk Based Analysis for Evaluating of Inspection Scope at PLTGU Muara Karang Dadang Rohmansyah; Suwarno Suwarno
IPTEK Journal of Proceedings Series No 1 (2019): 4th International Seminar on Science and Technology 2018 (ISST 2018)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2019i1.5108

Abstract

Power plant operation and plant aging influence plant reliability, strategy, and cost maintenance of PLTGU Block 1 Muara Karang. Several approach has been done to increase maintenance effectiveness as well as reducing it cost. Nevertheless, other strategies are necessary to be further developed adopting best practices in industries. In this study, we used Risk Based Inspection (RBI) method to evaluate scope of inspection on equipment in the HRSG 1.1 Muara Karang. Equipment has been investigated are pressure vessel, heat exchanger tube, and piping. The number of equipment under investigated are 26, where 10 equipments included in the medium risk category and 16 equipments included in the low risk category. There are 2 equipments where the inspection time interval is ≤ 2 years i.e. high pressure superheater 1 & 2
Study on The Effect of Cold-Rolling and Subsequence Welding on the Corrosion Rate of 304L Niko Arianto; Suwarno Suwarno
JMES The International Journal of Mechanical Engineering and Sciences Vol 3, No 1 (2019)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v3i1.8967

Abstract

Corrosion is an event of material damage due to reacting chemically with the environment. Stainless steel is a widely used steel in the industrial world, for example, the austenitic stainless-steel type 304L. The problem that still arises with 304L stainless steel is corrosion at grain boundaries. The sensitization process occurs when the steel is heated at a temperature of 500◦C – 700◦C resulting in chromium carbide precipitation formation. Sensitization of austenitic stainless steel can occur during the welding process, which can cause damage to the heat-affected zone (HAZ). Cold working on metals is a deformation process that is carried out at temperatures below the recrystallization temperature. This research was conducted to determine the effect of variations in rolling and welding. Rolling was carried out using a cold working process with a variation of the workpiece reduction, namely 20%, 40%, and 60%. Welding was carried out with current variations of 50, 65, and 80 with a welding time of 5 s and 10 s. The corrosion rate was tested using a potentiostat to obtain current density (Icorr) and potential (Ecorr) data. From the research, it was found the relation between rolling, welding parameters, and the corrosion rate. The corrosion rate is controlled by the carbide precipitation in the HAZ regime.
Analysis of Scale Deposit in the Geothermal Power Plant Afifah Harmayanti; Suwarno Suwarno
JMES The International Journal of Mechanical Engineering and Sciences Vol 2, No 1 (2018)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v2i1.5168

Abstract

Gunung Salak is one of the potential geothermal area in Indonesia. The steam character is categorised as the water – dominated steam with low steam purity. During inspection, deposit was found in several equipment which are turbine, demister, scrubber and separator. Demister is an essential in the geothermal system as it keeps the steam quality above the saturated condition, by removing the water phase from the steam. The deposit was predicted to be form because of scaling problem due to the impurities of the steam. Oxygen is expected to be responsible of the scaling problem. This research is to analyze the effect of oxygen partial pressure to the formation of scaling through thermodynamic approach. The formation of iron oxide scaling is to be focused in this research as it is mostly found in the deposit alongside other compounds. Demister’s deposit was analyzed using ICP, AAS, XRD and SEM – EDX method. The actual composition found in the demister is then compared to the phase stability diagram results using a chemical reaction software. The deposit used is from the demister.
Kinetics of Hydrogen Absorption and Desorption in Titanium Suwarno Suwarno; V. A. Yartys
Bulletin of Chemical Reaction Engineering & Catalysis 2017: BCREC Volume 12 Issue 3 Year 2017 (December 2017)
Publisher : Masyarakat Katalis Indonesia - Indonesian Catalyst Society (MKICS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/bcrec.12.3.810.312-317

Abstract

Titanium is reactive toward hydrogen forming metal hydride which has a potential application in      energy storage and conversion. Titanium hydride has been widely studied for hydrogen storage, thermal storage, and battery electrodes applications. A special interest is using titanium for hydrogen production in a hydrogen sorption-enhanced steam reforming of natural gas. In the present work, non-isothermal dehydrogenation kinetics of titanium hydride and kinetics of hydrogenation in gaseous flow at isothermal conditions were investigated. The hydrogen desorption was studied using temperature desorption spectroscopy (TDS) while the hydrogen absorption and desorption in gaseous flow were studied by temperature programmed desorption (TPD). The present work showed that the path of dehydrogenation of the TiH2 is d®b®a hydride phase with possible overlapping steps occurred. The fast hydrogen desorption rate observed at the TDS main peak temperature were correlated with the fast transformation of the d-TiH1.41 to b-TiH0.59. In the gaseous flow, hydrogen absorption and desorption were related to the transformation of b-TiH0.59 Û d-TiH1.41 with 2 wt.% hydrogen reversible content.  
Co-Authors Afifah Harmayanti Dadang Rohmansyah Dewanto, Nurcahyo Herwin Niko Arianto V. A. Yartys