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A combined finite element and machine learning approach for the prediction of specific cutting forces and maximum tool temperatures in machining. ETNA - Electronic Transactions on Numerical Analysis
No full textIn machining, specific cutting forces and temperature fields are of primary interest. These quantities depend on many machining parameters, such as the cutting speed, rake angle, tool-tip radius, and uncut chip thickness. The finite element method (FEM) is commonly used to study the effect of these parameters on the forces and temperatures. However, the simulations are computationally intensive and thus, it is impractical to conduct a simulation-based parametric study for a wide range of parameters. The purpose of this work is to present, as a proof-of-concept, a hybrid methodology that combines the finite element method (FE method) and machine learning (ML) to predict specific cutting forces and maximum tool temperatures for a given set of machining conditions. The finite element method was used to generate the training and test data consisting of machining parameter values and the corresponding specific cutting forces and maximum tool temperatures. The data was then used to build a predictive model based on artificial neural networks. The FE models consist of an orthogonal plane-strain machining model with the workpiece being made of the Aluminum alloy Al 2024-T351. The finite element package Abaqus/Explicit was used for the simulations. Specific cutting forces and maximum tool temperatures were calculated for several different combinations of uncut chip thickness, cutting speed and the rake angle. For the machine learning-based predictive models, artificial neural networks were selected. The neural network modeling was performed using Python with Adam as the training algorithm. Both shallow neural networks (SNN) and deep neural networks (DNN) were built and tested with various activation functions (ReLU, ELU, tanh, sigmoid, linear) to predict specific cutting forces and maximum tool temperatures. The optimal neural network architecture along with the activation function that produced the least error in prediction was identified. By comparing the neural network predictions with the experimental data available in the literature, the neural network model is shown to be capable of accurately predicting specific cutting forces and temperatures
Mountain research in UNESCO’s Man and the Biosphere Programme: the first five decades. eco.mont (Journal on Protected Mountain Areas Research and Management)|eco.mont Vol. 13 special issue 2021|
No full textWithin UNESCO’s Man and the Biosphere (MAB) Programme, MAB Project 6 (MAB-6), entitled Impact of human activities on mountain and tundra ecosystems, was initiated in 1971. This paper begins with a history of the activities and key outcomes of MAB-6, which largely comprised national activities within a global framework. From the 1990s, a number of collaborative international projects took place, relating particularly to global change and sacred mountains. The paper ends with brief conclusions
Μοιχεία, Unity, and Uniqueness of Greek Law: Response to David D. Phillips. Akten der Gesellschaft für Griechische und Hellenistische Rechtsgeschichte|(28) Symposion 2019 Akten der Gesellschaft für griechische und hellenistische Rechtsgeschichte Band 28|
No full textIndex locorum. Akten der Gesellschaft für Griechische und Hellenistische Rechtsgeschichte|(28) Symposion 2019 Akten der Gesellschaft für griechische und hellenistische Rechtsgeschichte Band 28|
No full textHolovac'kyj (Golovackij), Jakiv Fedorovyč (Jakov Fëdorovič); Ps. Havrylo Rusyn, Balahur Jac’ko, Halyčanyn
No full text(1814 - 1888), Philologe, Ethnograph und Geistliche
Bademgediǧi Tepe: its Relations within the East Aegean-West Anatolian Interface, and beyond. New information from neutron activation analysis. Ägypten und Levante|Ägypten und Levante XXXI 31|
No full textThe present paper draws attention to 172 new NAA measurements from the site of Bademgediği Tepe, 45 of which turned out to be verified imports. Based on the ceramic evidence, it is interesting to observe how such a medium sized fortified citadel communicated with a relatively broad range of exchange partners. While imports were to be expected among the painted fragments sampled, the range and relative quantity of the unpainted imports is worth attention. Also of interest is that the unpainted imports follow the same routes as the painted ones, which in turn makes it likely the pottery was moving along already established routes, which might have served for the exchange of other commodities, such as raw materials or other finished goods
Die Innsbrucker Schule und die Kompetenzverteilung. Beiträge zur Rechtsgeschichte Österreichs|Beiträge zur Rechtsgeschichte Österreichs Band 2 / 2021|
No full textThe Innsbruck School, with Peter Pernthaler at its head, has made Austrian federalism an important topic of constitutional discussion; it has filled gaps in its jurisprudential coverage; and, not least, it has developed concepts for enhancing federalism which policymakers have implemented into the constitution