@article{FaizollahzadehArdabiliNajafiAlizamiretal., author = {Faizollahzadeh Ardabili, Sina and Najafi, Bahman and Alizamir, Meysam and Mosavi, Amir and Shamshirband, Shahaboddin and Rabczuk, Timon}, title = {Using SVM-RSM and ELM-RSM Approaches for Optimizing the Production Process of Methyl and Ethyl Esters}, series = {Energies}, journal = {Energies}, number = {11, 2889}, publisher = {MDPI}, address = {Basel}, doi = {10.3390/en11112889}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20181025-38170}, pages = {1 -- 20}, abstract = {The production of a desired product needs an effective use of the experimental model. The present study proposes an extreme learning machine (ELM) and a support vector machine (SVM) integrated with the response surface methodology (RSM) to solve the complexity in optimization and prediction of the ethyl ester and methyl ester production process. The novel hybrid models of ELM-RSM and ELM-SVM are further used as a case study to estimate the yield of methyl and ethyl esters through a trans-esterification process from waste cooking oil (WCO) based on American Society for Testing and Materials (ASTM) standards. The results of the prediction phase were also compared with artificial neural networks (ANNs) and adaptive neuro-fuzzy inference system (ANFIS), which were recently developed by the second author of this study. Based on the results, an ELM with a correlation coefficient of 0.9815 and 0.9863 for methyl and ethyl esters, respectively, had a high estimation capability compared with that for SVM, ANNs, and ANFIS. Accordingly, the maximum production yield was obtained in the case of using ELM-RSM of 96.86\% for ethyl ester at a temperature of 68.48 °C, a catalyst value of 1.15 wt. \%, mixing intensity of 650.07 rpm, and an alcohol to oil molar ratio (A/O) of 5.77; for methyl ester, the production yield was 98.46\% at a temperature of 67.62 °C, a catalyst value of 1.1 wt. \%, mixing intensity of 709.42 rpm, and an A/O of 6.09. Therefore, ELM-RSM increased the production yield by 3.6\% for ethyl ester and 3.1\% for methyl ester, compared with those for the experimental data.}, subject = {Biodiesel}, language = {en} } @article{KapsSchuchStaeblein, author = {Kaps, Christian and Schuch, Kai and St{\"a}blein, Stefan}, title = {Silicate coatings for concrete components with waterglass systems by means of neutral salt initiation}, doi = {10.25643/bauhaus-universitaet.2588}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20160601-25888}, pages = {1 -- 14}, abstract = {The objective of the investigations was the proof of the use of the neutral salt initiation as a construction material in the protecting silicate coating of concrete components, e.g. factory finished parts or reinforced concrete construction parts, by means of waterglass fused silica suspensions}, subject = {Silicate}, language = {en} } @article{SadeghzadehMaddahAhmadietal., author = {Sadeghzadeh, Milad and Maddah, Heydar and Ahmadi, Mohammad Hossein and Khadang, Amirhosein and Ghazvini, Mahyar and Mosavi, Amir Hosein and Nabipour, Narjes}, title = {Prediction of Thermo-Physical Properties of TiO2-Al2O3/Water Nanoparticles by Using Artificial Neural Network}, series = {Nanomaterials}, volume = {2020}, journal = {Nanomaterials}, number = {Volume 10, Issue 4, 697}, publisher = {MDPI}, address = {Basel}, doi = {10.3390/nano10040697}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20200421-41308}, abstract = {In this paper, an artificial neural network is implemented for the sake of predicting the thermal conductivity ratio of TiO2-Al2O3/water nanofluid. TiO2-Al2O3/water in the role of an innovative type of nanofluid was synthesized by the sol-gel method. The results indicated that 1.5 vol.\% of nanofluids enhanced the thermal conductivity by up to 25\%. It was shown that the heat transfer coefficient was linearly augmented with increasing nanoparticle concentration, but its variation with temperature was nonlinear. It should be noted that the increase in concentration may cause the particles to agglomerate, and then the thermal conductivity is reduced. The increase in temperature also increases the thermal conductivity, due to an increase in the Brownian motion and collision of particles. In this research, for the sake of predicting the thermal conductivity of TiO2-Al2O3/water nanofluid based on volumetric concentration and temperature functions, an artificial neural network is implemented. In this way, for predicting thermal conductivity, SOM (self-organizing map) and BP-LM (Back Propagation-Levenberq-Marquardt) algorithms were used. Based on the results obtained, these algorithms can be considered as an exceptional tool for predicting thermal conductivity. Additionally, the correlation coefficient values were equal to 0.938 and 0.98 when implementing the SOM and BP-LM algorithms, respectively, which is highly acceptable. View Full-Text}, subject = {W{\"a}rmeleitf{\"a}higkeit}, language = {en} } @article{Schuch, author = {Schuch, Kai}, title = {Theoretische Grundlagen zum Aggregationsprozess von Wassergl{\"a}sern im Hinblick auf silikatische Beschichtungen}, series = {Steuerung des Aggregationsprozesses in w{\"a}ssrigen Alkalisilikatsolen durch spezielle Gelinitiatoren und moderate W{\"a}rmebehandlung zum Aufbau einer stabilen Silikatbeschichtung}, journal = {Steuerung des Aggregationsprozesses in w{\"a}ssrigen Alkalisilikatsolen durch spezielle Gelinitiatoren und moderate W{\"a}rmebehandlung zum Aufbau einer stabilen Silikatbeschichtung}, doi = {10.25643/bauhaus-universitaet.2497}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20160113-24971}, abstract = {Der Artikel beinhaltet den theoretischen Teil und die Ergebnisse der Dissertation von Kai Schuch, Bauhaus Universit{\"a}t Weimar, Nov. 2014}, subject = {Wasserglas}, language = {de} } @article{SchuchKaps, author = {Schuch, Kai and Kaps, Christian}, title = {Reifungs- und Strukturbildungsprozesse bei Bindern mit w{\"a}ssrigen Alkalisilikat-L{\"o}sungen}, doi = {10.25643/bauhaus-universitaet.3268}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20170728-32682}, pages = {1 -- 17}, abstract = {Durch Reifungs- und Strukturbildungsprozesse kann es bei silikatischen und alumosilikatischen Bindern zu Rissbildung bei behinderter Verformung, Festigkeitsverlust und somit Verlust der Dauerhaftigkeit kommen. Die Bewertung dieser Prozesse erfolgt an silikatischen Materialien mit einem Ausblick auf die alumosilikatischen Binder.}, subject = {Alkalisilikat}, language = {de} } @article{SchuchKaps, author = {Schuch, Kai and Kaps, Christian}, title = {Reifungs- und Strukturbildungsprozesse bei Bindern mit w{\"a}ssrigen Alkalisilikat-L{\"o}sungen}, doi = {10.25643/bauhaus-universitaet.3267}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20170718-32675}, pages = {1 -- 17}, abstract = {Durch Reifungs- und Strukturbildungsprozesse kann es bei silikatischen und alumosilikatischen Bindern zu Rissbildung bei behinderter Verformung, Festigkeitsverlust und somit Verlust der Dauerhaftigkeit kommen. Die Bewertung dieser Prozesse erfolgt an silikatischen Materialien mit einem Ausblick auf die alumosilikatischen Binder}, subject = {Alkalisilikat}, language = {de} } @article{SchuchKaps, author = {Schuch, Kai and Kaps, Christian}, title = {Maturation and Structure Formation Processes in Binders with Aqueous Alkali-Silicate Solutions}, doi = {10.25643/bauhaus-universitaet.3597}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20170907-35979}, pages = {1 -- 16}, abstract = {Maturation and structure formation processes can lead to crack formation in silicate and aluminosilicate binders (e.g. for coating materials...) through restricted deformation, loss of strength and thus to loss of durability. These processes are evaluated with silicate materials with an outlook on aluminosilicate binders.}, subject = {Waterglass}, language = {en} }