13 research outputs found

    A Fuzzy-based Decision Support Tool for Engineering Curriculum Design

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    This paper describes a decision support tool which can be used for aiding the academic sraff in making the decision of including a specialty subject in an engineering curriculum. The approach is based on building a list of competences that should be acquired through the study of the specialty subjects. An evaluation of the competences is made by means of questionnaires and finally, a fuzzy model will be run. The output of the fuzzy model reflects the need for the evaluated specialty subject to be included in the curriculum. The proposed method takes into consideration the opinions and experience of both the academic staff and the employers

    Rezultate preliminare privind depistarea infecţiilor hemotransmisibile la utilizatorii de droguri injectabile

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    Articolul de faţă este dedicat evaluării nivelului de infectare cu HVB, HVC, HTLV 1/2, HSV 1/2, EBV şi CMV în rândul narcomanilor ce practică consumul de droguri intravenoase. S-a utilizat metoda descriptivă de studiu pe perioadă 2015-2016. Prin metoda ELISA au fost diagnosticaţi serurile a 141 de utilizatori de droguri la markerii HVB, HVC, HTLV 1/2, HSV 1/2, EBV şi CMV. Toţi aceşti markeri au fost identificaţi în mod individual şi în asociere. S-a constatat, că 56,0% sunt pozitivi pentru markerii hepatitei virale, 13,5% pentru anti-HTLV 1/2, 91,7% au avut un rezultat pozitiv pentru anti-HSV 1 IgG şi 19,1% pentru anti-HSV 2 IgG, EBV a fost găsit în 92,6%, anti-CMV în 100,0%. Aşadar, rezultatele obţinute arată concordanţa situaţiei din Republica Moldova cu alte ţări şi sugerează necesitatea continuării acestui studiu, în scopul de a dezvolta metode eficiente de monitorizare a acestei infecţii

    Using an Adaptive Network-based Fuzzy Inference System to Estimate the Vertical Force in Single Point Incremental Forming

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    Manufacturing processes are usually complex ones, involving a significant number of parameters. Unconventional manufacturing processes, such as incremental forming is even more complex, and the establishment of some analytical relationships between parameters is difficult, largely due to the nonlinearities in the process. To overcome this drawback, artificial intelligence techniques were used to build empirical models from experimental data sets acquired from the manufacturing processes. The approach proposed in this work used an adaptive network-based fuzzy inference system to extract the value of technological force on Z-axis, which appears during incremental forming, considering a set of technological parameters (diameter of the tool, feed and incremental step) as inputs. Sets of experimental data were generated and processed by means of the proposed system, to make use of the learning ability of it to extract the empirical values of the technological force from rough data

    Technological aspects regarding machining the titanium alloys by means of incremental forming

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    Titanium alloys are materials with reduced formability, due to their low plasticity. However, today there are high demands regarding their use in the automotive industry and in bio-medical industry, for prosthetic devices. This paper presents some technological aspects regarding the machinability of titanium alloys by means of incremental forming. The research presented in this paper aimed to demonstrate that the parts made from these materials could be machined at room temperature, in certain technological conditions

    From part to point cloud, the modelling of a 3D part

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    The present paper focuses on the development of the composite materials in the automotiv industry by making a comparative analysis between a 3D model of the part and a real part made by a composite material, measuring the part using the point cloud. The aim is to obtain a high modeling and a more clear visualization of the composite material part

    Experimental and numerical investigations of the steel sheets formability with hydroforming

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    The present paper focuses on analyzing the forming capacity of steel blanks with hydroforming process. For this research steel sheets have been in focus for numerical and experimental analysis. The main advantages for this materials are good surface finish, excellent forming capacity and close tolerances, appealing advantages for manufacturers. A finite element model has been developed from data obtained through tensile tests and forming limit curves. A newly developed hydroforming press has been used to carry out the forming experiments. Side-by-side analysis between numerical and experimental results concludes the experiment

    Experimental Studies and FEM Analysis Regarding the Influence of Geometric Parameters on Strain, Thickness Reduction and Forces in Incremental Forming Process

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    The purpose of this study was to investigate the influence of geometrical parameters on the distribution of the principal strains and relative thinning and determination of forces in two directions in single point incremental forming process. For this purpose we have chosen a straight grove piece type. The parameters were taken into account are the punch diameter and step down in z direction. Were conducted the tests on two thickness sheet metal of the same material but having different mechanical characteristics. To determine the distribution of strains we used an optical method and to determine the forces a dynamometer was used. We have made two types of FEM analyses, one to determine the strains distribution and another to determine the forces

    5-axes modular CNC machining center

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    The paper presents the development of a 5-axes CNC machining center. The main goal of the machine was to provide the students a practical layout for training in advanced CAM techniques. The mechanical structure of the machine was built in a modular way by a specialized company, which also implemented the CNC controller. The authors of this paper developed the geometric and kinematic model of the CNC machining center and the post-processor, in order to use the machine in a CAM environment

    Advanced Techniques used in Numerical Simulation for Deep-drawing Process

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    The present paper analyse the main characteristics of the numerical simulation by finite element method of the deep-drawing processes. Also the authors’ highlights the mathematical apparatus and the calculus method used for numerical simulations of metal forming processes in many of the current simulation software. The authors present the capabilities of the inverse analysis, direct analysis, implicit analysis (for springback simulation) and the optimisation analysis applied to explicit formulations
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