Bulletin of the Transilvania University of Brasov. Series I

https://webbut.unitbv.ro/index.php/Series_I/issue/feed Bulletin of the Transilvania University of Brasov. Series I - Engineering Sciences 2024-11-25T07:12:46+00:00 Teofil Florin GALATANU editor.but@unitbv.ro Open Journal Systems <h1 class="page_title">Aim</h1> The Journal aims to be a forum for the latest results in engineering research, promoting integrated, interdisciplinary approaches, focusing on sustainable energy and high-tech product development. The journal is open to research groups all over the world and mostly welcomes scientific papers from groups involving young researchers and Ph.D. students. The Journal welcomes contributions that meet the general criteria of relevance and scientific excellence. The Journal is indexed in EBSCO Publishing DataBase (<a href="http://webbut.unitbv.ro/public/site/documents/admin/a9h-subject.xls">http://www.ebscohost.com/titleLists/a9h-subject.xls</a>), from 2008, Crossref (<a href="https://search.crossref.org/?q=Bulletin+of+transilvaniaBulletin+of+the+Transilvania+University+of+Brasov.+Series+I+-+Engineering+Sciences&from_ui=yes" target="_blank" rel="noopener">https://search.crossref.org</a>), from January 2019, and is accredited by the Romanian National Council of Scientific Research (CNCS) in the <a href="https://uefiscdi.gov.ro/userfiles/file/IC6%202011/Reviste%20romanesti%20recunoscute%20de%20CNCSIS-%20categoria%20B_plus.pdf">category B+</a> of the scientific magazine. <a href="http://webbut.unitbv.ro/index.php/Series_I/about" target="_blank" rel="noopener">Read more</a> Old Site Use this <a title="Series_I" href="http://webbut2.unitbv.ro/Bulletin/Series%20I/Series%20I.html" target="_blank" rel="noopener">LINK </a>to access the content of the old Bulletin of the Transilvania University of Brasov. Series I: Engineering Sciences journal site! https://webbut.unitbv.ro/index.php/Series_I/article/view/8541 Wettability Characterization of MDF Composite Materials Used for Industrial Products 2024-11-25T05:58:10+00:00 D.I. Baila baila1@yahoo.com R. Labudzki labudzki1@yahoo.com I. Fodchuk fodchuk1@yahoo.com M. Bonilla bonilla1@yahoo.com

The growing concern for the environment, in relation to the need for more versatile polymer-based materials, has led to a high interest in research into polymer composites filled with natural-organic fillers, which come from renewable sources. MDF is a high grade, composite material and it is made from recycled wood fibers and resin, and it is less expensive This composite material is dried and pressed to produce dense, stable sheets and because of this process, MDF does not warp or crack like wood. And since MDF is made from small particles, it doesn’t have noticeable grain patterns, showed by electronic microscopy. This will result in a smoother finish for the industrial product. In general, wood contracts or expands when it is exposed to changing heat and humidity and can appear some cracks on the industrial products. In this paper were realized water absorption tests on the MDF samples, in function of different temperature and humidity levels. The water absorption content for each piece of MDF composite material is represented as a percentage of the weight of the water and oven-dry weight. The humidity absorption depends on the composite material type, their structure, and it depends on the environment in which the product is used. The quality and moisture resistance of a composite material is extremely important for the durability and degradation degree of an industrial product.

2024-11-25T00:00:00+00:00 Copyright (c) 2023 Bulletin of the Transilvania University of Brasov. Series I - Engineering Sciences https://webbut.unitbv.ro/index.php/Series_I/article/view/8540 Multi-Criteria Analysis of Plastering Mortars with Concrete and Brick Waste Based on Physical-Mechanical Characteristics and Lifecycle Impact Assessment Criteria 2024-11-25T05:43:21+00:00 M. Valean valean.va.maria@utcluj.didatec.ro D.L. Manea valean.va.maria@utcluj.didatec.ro A. Zaharie zaharie1@yahoo.com I.M. Plesa valean.va.maria@utcluj.didatec.ro G. Bigea bigea1@yahoo.com

Plastering mortars with construction and demolition waste (CDW) contents is considered a potential path to lowering the environmental damage caused by CDW. This paper presents an application of a multi-criteria decision-making analysis matrix based on physical-mechanical characteristics as well as life cycle assessment (LCA) criteria, from cradle to gate. Six new plastering mortars with concrete and brick CDW components, created for this study, were analyzed. The conclusion is that the mortar with 30% replacement of natural aggregates with concrete waste was the best overall performing mortar, followed by the mortars with 15% replacement with brick waste and 30% replacement with brick waste. The last section discusses practical implications and further research directions.

2024-11-25T00:00:00+00:00 Copyright (c) 2023 Bulletin of the Transilvania University of Brasov. Series I - Engineering Sciences https://webbut.unitbv.ro/index.php/Series_I/article/view/8543 A Framework for Innovation in Earth Observation Applications for Agriculture 2024-11-25T06:23:07+00:00 M. Ivanovici mihai.ivanovici@unitbv.ro K. Marandskiy kamal.marandskiy@unitbv.ro G. Olteanu olteanu1@yahoo.com A. Manea a.c.manea@unitbv.ro L. Dogar liviu.d@unitbv.ro

Agriculture is a top priority both for Romania and the European Union. Agriculture can largely benefit from the Earth Observation data freely available from the Sentinel 2 satellites within the context of the Copernicus program. The validation and correlation of satellite measurements with the in-situ measured data are extremely important for the correct exploitation of the remote sensing data. One way to foster satellite and in-situ data is to use Artificial Intelligence models and tools for extracting useful information for farmers and landowners. In this article, we identify the current needs in the agricultural domain as well as various aspects where innovation can occur in the data processing chain. We focus on convolutional neural networks as this type of deep learning model is perfectly suited for the analysis of images.