In this paper, measurements of cutting force and temperature developed during orthogonal cutting at different cutting speeds, feed rates and depths of cuts were carried out. During the experiments the cutting force was measured using Hottinger strain gages, while the temperature distributions were measured using an infrared Thermo Vision A20 camera. The results showed that the cutting speed had the most influence on the cutting force and temperature distribution.
Neural networks have aroused a lively interest since 1943 when Warren McCulloch and Walter Pitts proposed a neural network model (a single layer model), that has remained fundamentally structural even today for most neural networks. Problem solving and implicit the study of a system's operating model such as 3D printing involves the association between input data, hypotheses and output data, and neural networks provide the ability to form their own model of solving. The main difference between neural networks and other information processing systems is the ability to learn from interacting with the environment and so improving performance. A correct representation of information, allowing interpretation, prediction, and response to an external stimulus, can allow the network to build a model of the considered process, in the paper case fused deposition modelling (FDM) process.
The electrochemical discharge machining (ECDM) offers an alternative to high technology equipments for drilling of small diameter holes in the case of difficult to machine materials. For a machining system based on the semidielectric liquid use and on the electric discharges initiated by contact break-out, the weight factor of the electrodes contact period is evaluated and the weight factor of the electrical discharges during this contact period is expressed. The paper presents some geometrical considerations which permit to conclude that the material removal rate depends on the characteristics of the motion and on some dimensions of the elements belonging to the crank mechanism. The influence of the input parameters on the axial electrode -tool wear and on the drilling speed is discussed.
This paper proposes a simple approach on the synthesis of the 2D profiles for the rotors of cycloidal reducers. A 2D rotor (or cycloidal disc) profile (as a complex closed curve) can be defined (as an alternative to the strictly mathematical definition) as the internal bordered envelope of the family of 2D profiles of the stator (or ring gear) obtained with the stator movable (for at least a completely rotation) around the fixed rotor (or planetary gear) by respecting the gearing conditions inside a cycloidal reducer. The more 2D profiles of the stator are used the more accurate definition of 2D rotor profile is obtained. The finding of x, and y-coordinates of the points involved in the description of this 2D rotor profile is by far the most complicated problem to solve in the manufacturing of this type of reducer, the behavior and performances of the cycloidal reducer drastically depends by the accuracy of this profile. The results of this study can be easy applied in practice.
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