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Global Inversion of Pressure Dependent Acoustic Velocity Data Based on a New Rock Physical Model
47-55Views:128In this paper with the further development of our previously published single exponential model, the new multiple exponential model describing the pressure dependence of acoustic longitudinal wave velocity is presented. Since with increasing pressure in the rock several relaxation mechanisms at the same time can cause the increasing propagation velocity, the new model can handle two or more physical mechanisms (e.g. the closure of pore volume or microcracks or friction on grain boundaries etc.). The previously applied linearized inversion procedure can trap in a local minimum, so during laboratory measured longitudinal velocity-pressure data processing a global optimization method was used to find the absolute minimum. Using the developed model equation as response equation in a Simulated Annealing algorithm the petrophysical parameters of the model can be determined. Inversion results proved that the calculated data using the new model and algorithm matched more accurate with measured data on a rock sample.
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Measurement of Friction Losses of Electro-Pneumatical Valves with Industrial Devices
68-72Views:80The pneumatic devices are frequently used in several fields of the industry but the losses and pressure
drops of the pneumatic system are not really investigated. These losses can cause great property damages during long uptime because the compressed air is a quite expensive energy source. I designed a measuring system which is able to measure the friction losses of electro-pneumatic 5/2-way valves (monostable and bistable too). It is possible to choose between manual and automatic operation modes as well. In the automatic mode the system makes measurements in three different user-defined pressure levels. In the manual mode the measuring pressure can be set between 2-6 bars. An automatic evaluate program is also an important part of the created system. It gives the possibility of the fast evaluation of the saved data and it could be the base of a fast report generating application. -
Menedzsment módszerek az Ipar 4.0 tükrében
507-514Views:641The fourth industrial revolution poses major challenges for organisations in terms of technological aspects and from a management point of view, too. Good (effective) management is vital as it can help overcome the difficulties arising from shortages of skilled labour and from cost-cutting pressures, and it can help improve efficiency of resources. Innovations require management methods that support the introduction of industry 4.0. In my review of the literature, I aim to find out how the current level of sophistication in this new field can help managers of SME to better embrace change. Based on the reviewed literature, from management point of view, organisational structure, leadership style and HR practices are key to creating an atmosphere conducive to learning and innovation. In terms of structure, researchers do not suggest one thing to apply, but emphasise that industry 4.0 is characterised by an unstable, changing environment, so it is worth developing a structure that is characterised by decentralisation, few rules, horizontal communication and collaborative teamwork, i.e. much more organic than mechanical. In terms of different leadership styles, it is the transformational leadership that is the most often mentioned, however, in case of industry 4.0, we need even more because it can have various limitations. Even before industry 4.0, literature has highlighted that the recommended leadership style can be defined as the combination of transformational and transactional leadership; research in industry 4.0 in recent years also emphasises that it is the expanded construction of a knowledge-driven leadership style that blends the two, which can best facilitate innovation and learning. Managers can develop employee skills and improve their learning abilities through a variety of HR practices. So the right structure, leadership style and HR prepare the organisation for industry 4.0 by facilitating learning, improving skills and innovation.
