CONTRIBUTIONS TO THE DEVELOPMENT OF A MODEL OF ECO TECHNOLOGIC ORGANIZATION

The paper present a series of contributions to the development of a model of eco technologic organization. Managers of various organizations generally recognized the need for change, as a way to cope with competitive pressures, but many do not understand how the change should be implemented. The key to success is to integrate employees, their roles and responsibilities within the organization in a structure of processes. A process-based approach and starting with the declaration of vision and mission, analyzing critical success factors and identifying the basic processes, it is the most effective way of employment of staff in the process of change In these conditions paper addresses notions of implementation of the change in the industrial organizations: organizational change process, consequences of ignoring the change, internal and external factors of change, actions needing chang

DETERMINATION OF THE OPTIMUM LEVEL TO REDUCE POLLUTION AND OF THE INDICATOR OF ENVIRONMENTAL QUALITY A TECHNOLOGICAL PROCESS

The deployment of anytechnologicalprocesscauseenvironmentalpollution, andthisimplies a reductionin the quality of theworkenvironmentandthe ambient environment. In theseconditions, inthispaperwasaimedtoestablishingtheoptimumpointto reduce pollutionaccordingtoexpenditure made to reduceandpreventenvironmentalpollution , but it wasdeterminedthepoint of reduction of ofpollutionbased onthecostsand social utilities. It wasalsodeterminedhowthecorrect design of a technologicalprocess or anactivitywithenvironmental impact consideringenvironmental quality indicator for eachstage of it

USE OF A SYSTEM DESIGN ULTRAACUSTIC WELDING

This article presents elements of a computer modeling system and ultraacustic using analyzing finite element method used in its design. With the experimental results obtained for a system used for welding ultraacustic determine variation curve aplitudinii particle velocity along the system

Intelligent X-ray imaging inspection system for the food industry.

The inspection process of a product is an important stage of a modern production factory. This research presents a generic X-ray imaging inspection system with application for the detection of foreign bodies in a meat product for the food industry. The most important modules in the system are the image processing module and the high-level detection system. This research discusses the use of neural networks for image processing and fuzzy-logic for the detection of potential foreign bodies found in x-ray images of chicken breast meat after the de-boning process. The meat product is passed under a solid-state x-ray sensor that acquires a dual-band two-dimensional image of the meat (a low- and a high energy image). A series of image processing operations are applied to the acquired image (pre-processing, noise removal, contrast enhancement). The most important step of the image processing is the segmentation of the image into meaningful objects. The segmentation task is a difficult one due to the lack of clarity of the acquired X-ray images and the resulting segmented image represents not only correctly identified foreign bodies but also areas caused by overlapping muscle regions in the meat which appear very similar to foreign bodies in the resulting x-ray image. A Hopfield neural network architecture was proposed for the segmentation of a X-ray dual-band image. A number of image processing measurements were made on each object (geometrical and grey-level based statistical features) and these features were used as the input into a fuzzy logic based high-level detection system whose function was to differentiate between bones and non-bone segmented regions. The results show that system's performance is considerably improved over non-fuzzy or crisp methods. Possible noise affecting the system is also investigated. The proposed system proved to be robust and flexible while achieving a high level of performance. Furthermore, it is possible to use the same approach when analysing images from other applications areas from the automotive industry to medicine

Intelligent X-ray imaging inspection system for the food industry.

The inspection process of a product is an important stage of a modern production factory. This research presents a generic X-ray imaging inspection system with application for the detection of foreign bodies in a meat product for the food industry. The most important modules in the system are the image processing module and the high-level detection system. This research discusses the use of neural networks for image processing and fuzzy-logic for the detection of potential foreign bodies found in x-ray images of chicken breast meat after the de-boning process. The meat product is passed under a solid-state x-ray sensor that acquires a dual-band two-dimensional image of the meat (a low- and a high energy image). A series of image processing operations are applied to the acquired image (pre-processing, noise removal, contrast enhancement). The most important step of the image processing is the segmentation of the image into meaningful objects. The segmentation task is a difficult one due to the lack of clarity of the acquired X-ray images and the resulting segmented image represents not only correctly identified foreign bodies but also areas caused by overlapping muscle regions in the meat which appear very similar to foreign bodies in the resulting x-ray image. A Hopfield neural network architecture was proposed for the segmentation of a X-ray dual-band image. A number of image processing measurements were made on each object (geometrical and grey-level based statistical features) and these features were used as the input into a fuzzy logic based high-level detection system whose function was to differentiate between bones and non-bone segmented regions. The results show that system's performance is considerably improved over non-fuzzy or crisp methods. Possible noise affecting the system is also investigated. The proposed system proved to be robust and flexible while achieving a high level of performance. Furthermore, it is possible to use the same approach when analysing images from other applications areas from the automotive industry to medicine

CONTRIBUTIONS FROM SMOKE ON IMPACT OF WELDING PROCEDURES HEALTH OPERATORS WELDER

This paper presents research conducted on the contents of fumes resulting from welding processes with emphasis on micro various metallic and nonmetallic elements involved in these fumes. It also presents the main health effects of welders and operators working in the welding stations. Are risks that may occur due to micro chromium, nickel, iron, manganese, silicon, fluorine, zinc, aluminum, copper, cadmium, lead, molybdenum, cobalt, vanadium and others

Embedding ultra-high-molecular-weight polyethylene fibers in 3D-printed Polylactic Acid (PLA) parts

This study aims to assess whether ultra-high-molecular-weight polyethylene (UHMWPE) fibers can be successfully embedded in a polylactic acid (PLA) matrix in a material extrusion 3D printing (ME3DP) process, despite the apparent thermal incompatibility between the two materials. The work started with assessing the maximum PLA extrusion temperatures at which UHMWPE fibers withstand the 3D printing process without melting or severe degradation. After testing various fiber orientations and extrusion temperatures, it has been found that the maximum extrusion temperature depends on fiber orientation relative to extrusion pathing and varies between 175 C and 185 C at an ambient temperature of 25 C. Multiple specimens with embedded strands of UHMWPE fibers have been 3D printed and following tensile strength tests on the fabricated specimens, it has been found that adding even a small number of fiber strands laid in the same direction as the load increased tensile strength by 12% to 23% depending on the raster angle, even when taking into account the decrease in tensile strength due to reduced performance of the PLA substrate caused by lower extrusion temperatures.EEA Grants/Norway GrantsPeer reviewe

Accelerated Aging Effect on Mechanical Properties of Common 3D-Printing Polymers

In outdoor environments, the action of the Sun through its ultraviolet radiation has a degrading effect on most materials, with polymers being among those affected. In the past few years, 3D printing has seen an increased usage in fabricating parts for functional applications, including parts destined for outdoor use. This paper analyzes the effect of accelerated aging through prolonged exposure to UV-B on the mechanical properties of parts 3D printed from the commonly used polymers polylactic acid (PLA) and polyethylene terephthalate–glycol (PETG). Samples 3D printed from these materials went through a dry 24 h UV-B exposure aging treatment and were then tested against a control group for changes in mechanical properties. Both the tensile and compressive strengths were determined, as well as changes in material creep characteristics. After irradiation, PLA and PETG parts saw significant decreases in both tensile strength (PLA: −5.3%; PETG: −36%) and compression strength (PLA: −6.3%; PETG: −38.3%). Part stiffness did not change significantly following the UV-B exposure and creep behavior was closely connected to the decrease in mechanical properties. A scanning electron microscopy (SEM) fractographic analysis was carried out to better understand the failure mechanism and material structural changes in tensile loaded, accelerated aged parts

OBJECTIVE SETTING FUNCTION TO FORM THE RECONDITIONING METALLIZATION CRANKSHAFT

The paper presents the objective function of metal spraying process and optimizing its ultrasonic field. For CCR objective function, named quality function of resulted couple, were taken into account the following factors: resistance to adhesion surface; porosity; tensile strength; wear resistance; hardness of the material from couple; grain size of the deposited layer and the state of internal tension. To determine the function there are required numerous experiments using different metallization regimes, then placing the condition that it needs to have a maximum that is found among first-order derivative solutions of the objective function

CRITICAL ANALYSIS OF LOADING BY TECHNOLOGY RECONDITIONING, WITH APPLICATION TO REPAIR PIECES OF AUTO INDUSTRY

The problem of exploitation of diamond grinding wheels with metal coating for their grains including detonation ultra-dispersed diamonds to increase functional reliability to maintain the initial integrity of grains in the pressing and sintering of diamond-metal composites in the tool production is considered. One problem is that the presence of detonation ultra-dispersed diamonds in the grain metal coating of diamond powders not only improves the coating functional reliability in protection from destruction in the subsequent pressing and sintering in the production tool, but also resistance of such coating to the opening of the diamond cutting basis of the grains on the grinding wheel working surface that come into working contact with the material being processed. An analysis of the features of an effective exploitative destruction of detonation ultra-dispersed diamonds in the metal coating using electric current in the tool of the diamondspark grinding processes is presented