HIERARHIČNI VEČPARAMETRSKI ODLOČITVENI MODEL ZA VREDNOTENJE INTEGRACIJSKEGA SLOJA SPLETNIH STORITEVMarjan Vaupotič
, 2014, master's thesis
Abstract: Naloga obravnava problematiko izbire ustrezne arhitekture integracijskega sloja spletnih storitev. Na osnovi podrobne analize značilnosti spletnih storitev ter njihovega vpliva na kakovost informacijskih rešitev smo razvili celoviti hierarhični večparametrski odločitveni model, ki pomaga pri izbiri optimalnega arhitekturnega pristopa za podan načrtovalski problem. Osredotočili smo se predvsem na arhitekturo integracijskega sloja na osnovi protokola HTTP. Obravnavali smo arhitekturo, pri kateri se protokol HTTP uporablja kot transportni protokol in arhitekturo, ki izkorišča protokol HTTP kot aplikacijski protokol. Alternativi smo vrednotili na osnovi parametrov kvalitete storitev. Ti parametri so: učinkovitost, prilagodljivost, skalabilnost, zanesljivost, celovitost in varnost. Uporabnost predlagane rešitve smo ovrednotili na študiju primera. Ugotovili smo, da predlagani odločitveni model pomaga, da so odločitve glede arhitekture integracijskega sloja spletnih storitev boljše.
Keywords: spletne storitve, integracijski sloj, protokol HTTP, arhitekturni stil REST, večparametrsko odločanje
Published: 18.12.2014; Views: 1201; Downloads: 92
Full text (4,19 MB)
Intelligent programming of CNC turning operations using genetic algorithmJože Balič
, Miha Kovačič
, Boštjan Vaupotič
, 2006, original scientific article
Abstract: CAD/CAM systems are nowadays tightly connected to ensure that CAD data can be used for optimal tool path determination and generation of CNC programs for machine tools. The aim of our research is the design of a computer-aided, intelligent and genetic algorithm(GA) based programming system for CNC cutting tools selection, tool sequences planning and optimisation of cutting conditions. The first step is geometrical feature recognition and classification. On the basis of recognised features the module for GA-based determination of technological data determine cutting tools, cutting parameters (according to work piece material and cutting tool material) and detailed tool sequence planning. Material, which will be removed, is split into several cuts, each consisting of a number of basic tool movements. In thenext step, GA operations such as reproduction, crossover and mutation are applied. The process of GA-based optimisation runs in cycles in which new generations of individuals are created with increased average fitness of a population. During the evaluation of calculated results (generated NC programmes) several rules and constraints like rapid and cutting tool movement, collision, clamping and minimum machining time, which represent the fitness function, were taken into account. A case study was made for the turning operation of a rotational part. The results show that the GA-based programming has a higher efficiency. The total machining time was reduced by 16%. The demand for a high skilled worker on CAD/CAM systems and CNC machine tools was also reduced.
Keywords: CNC programming, genetic algorithm, intelligent CAM, turning, tool path generation
Published: 30.05.2012; Views: 1366; Downloads: 62
Link to full text
Prediction of total manufacturing costs for stamping tool on the basis of CAD-model of finished productMirko Ficko
, Igor Drstvenšek
, Miran Brezočnik
, Jože Balič
, Boštjan Vaupotič
, 2005, original scientific article
Abstract: One of the orientations of the tool-making industry is towards shortening the time from enquiry to the supply of tools. The tool-making shops must prepare within the shortest possible time an offer for the manufacturer of the tool based on the enquiry in the form of the CAD-model of the final product. For preparation of a proper offer, the values of certain technological features occurring in the manufacture of the tool are needed. Most frequently the tool manufacturer is interested in total cost for manufacture of the tool. Because of lack of time for making a detailed analysis the total costs of tool manufacture are predicted by the expert on the basis of the experience gathered during several years of work in this area. In our work, we conceived an intelligent system for predicting of total cost of the tool manufacture. We limited ourselves to tools for manufacture of sheet metal products by stamping; the system is based on the concept of case-based reasoning. On the basis of target and source cases, the system prepares the prediction of costs.The target case is the CAD-model in whose costs we are interested, whereas the source cases are the CAD-model of products, for which the tools had already been made, and the relevant total costs are known. The system first abstracts from CAD-models the geometrical features, and then it calculates the similarities between the source cases and target case. Then the most similar cases are used for preparation of prediction by genetic programming method. The genetic programming method provides the model connecting the individual geometrical features with total costs searched for. In the experimental work, we made a system adapted for predicting of tool costs used for tool manufacture on the basis of a theoretic model. The results show that the quality of predictions made by the intelligent system is comparable to the quality assured by the experienced expert.
Keywords: intelligent systems, prediction of costs, tool-making, stamping, CAD model, costs, genetic programming
Published: 01.06.2012; Views: 1100; Downloads: 59
Link to full text