Tvorba regresného modelu na základe experimentálnych skúšok
Regression model creation based on experimental tests of conveyor belts against belt rips resistance Conveyor belt impairing by belt rip can lead to its sequential destruction so that economical costs for operation of belts are rising. Adjusting basic parameters of conveyor belt properties is necessary to assure great belt rip resistance. The paper describes shortly methodology that should be used with experimental tests of conveyor belts regarding to its belt rip resistance. In the paper there is mathematical mentioned model creation describing the forces acting to the belt by falling-down a material. At the end of the paper there are described ways to optimize methodology of measuring process to make costs (financial or time) much lower even in the phase of belt designing.
3D MATHEMATICAL MODEL OF CONVEYOR BELT SUBJECTED TO A STRESS LOADING
The transport is an element of the technological process that has the important influence on economy of every company. Because the transport costs affect price of the final product, it is important to improve the technical and economical level of the transport.The belt transport is one of the widely used transport systems in industry. It is used in various branches of industry, like mining, building industry, food industry, at the airports, in supermarkets, etc.
Balanced location on a graph
The problem of locating service facilities with respect to a given set of demands on a graph is considered. The objective function to be minimized is equal to the maximum difference in the distance from a demand point to its farthest and nearest facility (balancing function). It is assumed that any facility has at most m of possibilities for its location. For m = 2, the computational complexity of the problem is O(np 2log p), where n is the number of demand points and p is the number of located facilities. For m > 2, the problem is NP -hard. Similar results are presented for boolean and strongly boolean versions of the problem.