LOCATION MODELS FOR MAIN INDUSTRIES AT MACRO-GEOGRAPHICAL LEVEL USING OPEN GEOSPATIAL DATA AND SOFTWARE: CASE OF ROMANIAN COUNTIES

This paper reveals the mathematical models to explain the location of industries within macro-geographical areas (Romania’s counties), by means of GIS (Geographical Information System) metrics. While the explained variable (output) was a composite indicator equally weighting employment and turnover quotients computed from statistical data, the explaining variables (inputs) were a set of GIS metrics, computed on geospatial open data, using open GIS software. The preferred method for modelling was the multiple linear regression; different nonlinear functions were tested to provide the best fit. The GIS metrics are an alternative to statistical data, having the advantage of being procured and updated easier by the automatic import of the GIS database. For all industries, the study delivered relevant models. This study is part of a spatial decision support system (SDSS) for the location of enterprises, including both a macro-geographical layer and a micro-geographical layer of factors. This paper’s results can be used independently (the micro-geographical layer was addressed by a previous study). The macro-geographical and the micro-geographical layer could share the 100% weight according to the desired level of location. For example, a governmental organization could grant all weight to the macro layer, while an enterprise could weight more the micro layer

A magneto rheological hybrid damper for railway vehicles suspensions

High speed railway vehicles features a specific lateral oscillation resulting from the coupled lateral displacement and yaw of the wheelset which leads to a sinusoid movement of the wheelset along the track, transferred to the entire vehicle. The amplitude of this oscillation is strongly dependant on vehicle’s velocity. Over a certain value, namely the critical speed, the instability phenomenon so-called hunting occurs. To raise the vehicle’s critical speed different designs of the suspension all leading to a much stiffer vehicle can be envisaged. Different simulations prove that a stiffer central suspension will decrease the passenger’s comfort in terms of lateral accelerations of the carboy. The authors propose a semi-active magneto rheological suspension to improve the vehicle’s comfort at high speeds. The suspension has as executive elements hybrid magneto rheological dampers operating under sequential control strategy type balance logic. Using an original mathematical model for the lateral dynamics of the vehicle the responses of the system with passive and semi-active suspensions are simulated. It is shown that the semi-active suspension can improve the vehicle performances

Study of the railway vehicle suspension using the multibody method

The article presents a mathematical model for the study of a passenger coach hunting motion using the multibody approach. The model comprises the lateral displacement, rolling and yawing motions for the main constitutive elements: axles, bogies and case. The equation system is written applying energetic methods. The forced vibrations determined by the irregular profile of the tracks are considered. The wheel – rail contact forces are expressed using the creepage coefficients established according to Kalker's linear theory. The equations system is solved through numeric methods using specialized calculus programs. The response of the system – passenger coach on a tangent track, the critical speed and the influence of the constructive characteristics of the coach on its performances are determined

Experimental modal analysis of an electric locomotive body

The study of the structural dynamics is essential for understanding and assessing of any engineering product performance, knowledge of dynamic structural response being fundamental to ensuring a sustainable and safe product functioning. From all techniques for structural response assessment, the experimental modal analysis (EMA) provides one of the most comprehensive tools for collecting the experimental data, relevant for structure investigation and assessing of the structural response under normal or imposed operating conditions. Once identified the structure in terms of modal model, it can begin to its optimization to face new challenges or functioning tasks. The article presents an experimental modal analysis application, performed on a LEMA 6000kW electric locomotive body on the production cycle of SC Softronic Craiova. The application was made to validate the dynamic finite elements model realised in order to certify the crashworthiness locomotive design and to evaluate the body interaction with bogie and track to avoid the locomotive structural resonance phenomena

EVALUATION OF THE IMPACT OF WASHING PROCEDURE ON THE THIABENDAZOLE CONCENTRATION IN SOLANUM TUBEROSUM

Thiabendazole (2-(1,3-thiazol-4-yl)-1H-benzoimidazole) is a fungicide used to ensure potato stability during storage. That is way it is manly found in stored potatoes. To see the impact of potato washing on Thiabendazole concentration samples from different varieties were extracted using dichlometane and analyzed by HPLC with florescent detection. The samples were analyses before and after the washing operation. The potatoes were washed using the CALIPSO Root Washing Module in which the washing procedure is done in the washing drum and on ramp witch has nozzles for additional washing. The levels of Thiabendazole found in the samples before washing were low. There was a decrease of 42 % of the Thiabendazole concentration in all samples after washing

Experimental modal analysis of an electric locomotive body

The study of the structural dynamics is essential for understanding and assessing of any engineering product performance, knowledge of dynamic structural response being fundamental to ensuring a sustainable and safe product functioning. From all techniques for structural response assessment, the experimental modal analysis (EMA) provides one of the most comprehensive tools for collecting the experimental data, relevant for structure investigation and assessing of the structural response under normal or imposed operating conditions. Once identified the structure in terms of modal model, it can begin to its optimization to face new challenges or functioning tasks. The article presents an experimental modal analysis application, performed on a LEMA 6000kW electric locomotive body on the production cycle of SC Softronic Craiova. The application was made to validate the dynamic finite elements model realised in order to certify the crashworthiness locomotive design and to evaluate the body interaction with bogie and track to avoid the locomotive structural resonance phenomena

Experimental modal analysis of an electric locomotive body

The study of the structural dynamics is essential for understanding and assessing of any engineering product performance, knowledge of dynamic structural response being fundamental to ensuring a sustainable and safe product functioning. From all techniques for structural response assessment, the experimental modal analysis (EMA) provides one of the most comprehensive tools for collecting the experimental data, relevant for structure investigation and assessing of the structural response under normal or imposed operating conditions. Once identified the structure in terms of modal model, it can begin to its optimization to face new challenges or functioning tasks. The article presents an experimental modal analysis application, performed on a LEMA 6000kW electric locomotive body on the production cycle of SC Softronic Craiova. The application was made to validate the dynamic finite elements model realised in order to certify the crashworthiness locomotive design and to evaluate the body interaction with bogie and track to avoid the locomotive structural resonance phenomena

Microplastics Removal from Municipal Wastewater Through Oxide-Biological Processes. Phase 1: Preliminary Fragmentation of Microplastics from Wastewater and Aerobic Pre-conditioning of Wastewater with Activated Sludge

Environmental pollution with microplastic waste is a pressing problem of high importance world-wide. This paper is aiming at testing, on an experimental basis, by using a synthetic wastewater, a combined technology to remove the microplastic waste from wastewaters. The method involves a preliminary fragmentation of microplastics followed by the aerobic pre-conditioning of synthetic wastewater with aerobic activated sludge. The results obtained indicate that the ozonation followed by the pre-conditioning of wastewater with activated sludge improves the biodegradability of microplastics from wastewater. As proved in this paper, results in an improved removal efficiency in comparison with the simple biological treatment. An additional advantage of such a combined technology is their great operational variability, being easily changeable and adaptable to a broad range of operating parameters values (e.g.: ozone concentration, pH, retention time, dissolved oxygen, etc.)