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EN
The increase in the quality requirements for the pipes and the increasing needs to reduce production costs, while increasing the efficiency of the process in market of hot rolled pipes are observed. One of the cost reduction factors is the reduction of the number of defects by early detection and, if possible, the removal of non-conformities. Incompatibility is an error that can be removed in accordance with the performance standard that does not cause defects (Norma API). The defect is imperfection that is so important that it is the basis for the removal of the product or its part based on the criteria set out in the performance standards. In pipe manufacturing processes, defects and batch incompatibilities can be distinguished, which arise in the steelworks during metal solidification and roll forming in the course of metal processing. The defect may also arise as a result of removing steel material or result from rolling processes defects. The paper presents the analysis of the process of quality control of pipes manufactured using the pilgrim method on the basis of real process data. The analysis were involved 1070 pieces of ingots from 11 different melts for rolling pipes. At various stages of production, discrepancies and defects were revealed, which were caused by metallurgical or technological defects associated with rolling pipes. The total amount of discrepancies and defects eliminated 168 pieces of finished pipes. The aim of the work is to show that by means of appropriately selected methods of eliminating imperfections, it is possible to increase the efficiency of the manufacturing process.
EN
The study involves the development of multi-objective optimization model for turning machining process. This model was developed using a GA - based weighted-sum of minimum production cost and time criteria of multipass turning machining process subject to relevant technological/practical constraints. The results of the single-objective machining process optimization models for the multipass turning machining process when compared with those of multi-objective machining process model yielded the minimum production cost and minimum production time as $5.775 and 8.320 min respectively (and the corresponding production time and production cost as 12.996 min and $6.992, respectively), while those of the multi-objective machining process optimization model were $5.841and 9.097 min. Thus, the multi-objective machining process optimization model performed better than each of the single-objective model for the two criteria of minimum production cost and minimum production time respectively. The results also show that minimum production time model performs better than the minimum production cost model. For the example considered, the multi-objective model gave a lower production time of 30.0% than the corresponding production time obtained from the minimum production cost model, while it gave a lower production cost of 16.46% than the corresponding cost obtained by the minimum production time model.
EN
Chatter is a series of unwanted and extreme vibrations which frequently happens during different machining processes and impose variety of adverse effects on the machine-tool and surface finish. Chatter has two main types namely forced-chatter and self-existed chatter. The forced-chatter has an external cause; however, self-exited chatter has no external stimuli, rather it is created due to the phase difference between the previous and current waves on the surface of the workpiece. Due to the self-generative nature of this type of chatter, its recognition and prevention is much more difficult. For preventing self-exited chatter its model should be available first. The chatter is usually simulated as a one degree of freedom mass-spring-damper model with unknown parameters that they should be determined somehow. In this paper, the parameters of the tool equation of motion i.e. mass, damping, and stiffness coefficients of the system are predicted through a wavelet-based method online, and then based on the achieved parameters, the system is controlled via Model Predictive Control (MPC) approach. For the validation, the algorithm is applied to 25 different experimental tests in which the acceleration of the tool and cutting force are measured via an accelerometer and a dynamometer. By investigation of the SLDs generated by the predicted parameters, the presented system identification method is validated. Also, it is shown that the chatter vibration is completely restrained by means of MPC. For investigation of the MPC performance, MPC algorithm is compared with PID controller and simulations has indicated a much stronger performance of MPC rather than PID controller in terms of vibration attenuation and control effort.
PL
W pracy pokazano możliwości wykorzystania technik komputerowych w zakresie techniki skrawania, zwłaszcza analitycznego i numerycznego modelowania procesu skrawania stali niestopowej i jego weryfikacji doświadczalnej. Komputerowe wspomaganie wytwarzania realizowano w programie EdgeCAM. Dobór parametrów i warunków skrawania przeprowadzono w programie CoroGuide dla narzędzi firmy AB Sandvik Coromant. Eksperymentalną walidację procesu skrawania prototypu z tworzyw sztucznych oraz wyrobów ze stali przeprowadzono na tokarce CNC.
EN
The presented work shows the use of computer technique in a range of machining, especially analytical and numerical modelling of machining process of unalloyed steel as well as its experimental verification. Computer aided manufacturing was realized with EdgeCAM code. Selection of parameters and conditions of turning has relied on AB Sandvik Coromant tools according to CoroGuide code. Experimental validation of machining of plastic prototype and steel workpiece has been made using CNC machine.
PL
W artykule przedstawiono otrzymane modele matematyczne do określenia parametrów Rt, Ra, Rv, Rp, RSm i Rmr(c) profilu chropowatości elementów obrabianych przez obrót. Profil chropowatości uzyskuje się w wyniku kinematycznej geometrii kopiowania narzędzia tnącego na nowo powstałą powierzchnię, biorąc pod uwagę wpływ zmiany kątów promienia r oraz posuwu f. Weryfikacja osiągniętych modeli matematycznych wykonano biorąc pod uwagę parametr modelowania na profilu chropowatości przy użyciu oprogramowania SolidWorks.
EN
The study presents achieved mathematical models for determination ofparameters Rt, Ra, Rv, Rp, RSm and Rmr(c) on roughness profile machined by turning. The roughness profile is achieved as a result of cinematic-geometry copying of the cutting tool on the new formed surface, considering the influence from the change of angles. Verification of the achieved mathematical models is made with parameter modeling on the roughness profile by use of software program SolidWorks.
6
Content available remote Drgania okresowe, prawie okresowe i chaotyczne w procesach toczenia
EN
The paper is concerned with qualitative analysis of a non-linear model describing the vibrations in cutting processes. The model of the regenerative turning process is described by two delay differential equations. The influence of selected parameters such as the rotational velocity and the frequency of the kinematic excitations as well as the cutting speed and the cutting resistance on the character and level of vibrations is studied. The possibility of the excitation of quasi-periodic or chaotic oscillations for some values of the parameters has been shown. Zones of the sub-harmonic, quasi-periodic and chaotic vibrations were estimated by the methods of numerical integration. Bifurcation diagrams have been used to explain the phenomenon of vibration synchronization. Different types of vibration are illustrated by plots of time histories, phase and stroboscopic portraits.
PL
W artykule wskazano na szerokie możliwości modelowania procesów skrawania za pomocą strategii samouczenia. Zaprezentowano model predykcji sumarycznych odkształceń przedmiotu obrabianego za pomocą sztucznych sieci neuronowych. Badania i analizy przeprowadzono na przykładzie toczenia ortogonalnego tulei cienkościennej, poddanej działaniu ciepła i sił w procesie skrawania.
EN
In this paper has been to shown wide possibility modeling of cutting process by self-teaching strategy. Hear have been presented neural network model of workpiece summary deformations. Research and analyzes have been shown based on example orthogonal turning of thin-walled sleeve to expose it on action of heat and cutting forces.
PL
W artykule zaprezentowano analityczno-doświadczalną metodę określania głębokości wpływu ciepła w materiale ostrza narzędzia skrawającego. Analizy prowadzono na przykładzie procesu toczenia dla narzędzia wykonanego ze stali szybkotnącej SW18. Przyjęto model geometryczny oraz szereg założeń formalnych przy których prowadzono rozważania. Wyznaczono zależność określającą głębokość wpływu ciepła, w funkcji czasu działania temperatury na powierzchni natarcia y=f(t).
EN
The analytic-experimental method of assignment of heat influence depth in material of machining tool edge is presented herein. The analysis was made on example of turning operation for tool made from SW18 high-speed steel. Geometric model and a number of formal assumptions were made, at which considerations are performed. Relation defining heat influence depth was assigned in function of temperature action time on attack surface y=f(t).
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