This paper deals with modeling and simulation of Hydraulic crane for load lifting in order to determine its dynamics, methods for lifting control and minimization of oscillations. The proposed procedure is modelling of crane with method of schematic design with inerconnected elements that represents crane parts, and its 3-d visualization. Simulations will be planned and applied for lifting motion of Crane's Boom with hangind load. Dynamic analysis will be carried through simulations and solution of Euler differential equations of second order. Diagrams with results of main dynamic and kinematic parameters will be presented for main parts of crane as the solution results of the analyzed system. Based on these results conclusions will be presented. The aim is to find optimal lifting control process and dynamic behavior of crane which is important for motion planning, failure analysis and safety during work. Analysis will be done using modeling and simulations with computer application MapleSim.
This paper investigates the effects of milling parameters on the surface roughness and surface texture by applying RSM. The most important measures of surface quality during the machining process is the average surface roughness (Ra), and it is mostly caused by many machining parameters, such as true rake angle and side cutting edge angle, cutting speed, feed rate, depth of cut, nose radius, machining time etc. In this work, an experimental investigation through mathematical modelling was carried out to study the effect of cutting parameters such as; cutting speed, feed rate and machining time on surface roughness during the dry end milling process of cold rolled steel C62D. The experiment is executed on the basis of a three level factorial design. The influences of all machining parameters on surface roughness have been analyzed based on the developed mathematical model. The developed prediction equation shows that the most significant parameter is cutting speed followed by feed rate and lastly machining time. The result from this research is useful to be implemented in industry to reduce time and cost in surface roughness prediction.
The chip formation and morphology are definitely affected by tool geometry and cutting parameters such as cutting speed (v), feed rate (s), and depth of cutting (a). An experiment investigation was presented to study the influence of tool geometry on chip morphology and chip deformation in orthogonal turning. The experiment is realized with the lathe machine IK62. For data process is used a statistic method with five factors. The result obtained in this study showed that tool geometry affected the chip morphology significantly; cutting speed was the most contributively factor.
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