ASCERTAINMENT OF THE EQUIVALENT CIRCUIT PARAMETERS OF THE ASYNCHRONOUS MACHINE by V. S. Safaryan, S. G. Gevorgyan

“…They present a symbolic model for analytical parameterization of the asynchronous machine equivalent-circuit that represents a system of nonlineal equations and requires one of the rotor-parameters arbitrary assignment. …”
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Optimization of Machining Parameters for the Fixed Pocket Cycle by Felipe Stein, Nickolas Giacomitti, Gustavo Valério, Jorge Paulo, João Rocha, João Ribeiro

“…In a competitive industrial setting, optimizing machining processes is important for enhancing surface quality and productivity. …”
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Design and parameter optimization of portable tree transplanting machine by Zhang Jingping, Zhu Jianxi, Sun Teng

Subjects: “…farm machine…”
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Determination of Optimum Machining Parameters in Machining Rene 41 Superalloy Depending on Cutting Speed by Altin Abdullah, Altin Muhammed Cihat, Altin Hilal, Altin Tuğba

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Determination Modal parameters a Turning machining system by Юрій Петраков, Олександр Охріменко, О. Пасічник, А. Петришин

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SUBSTANTIATION OF MAIN PARAMETERS OF PROSPECTIVE MILLING PEAT MACHINES by G. A. Basalay

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The Effect Of Stress Relaxation On The Parameters Of Machining And Inspection Tooling by Erokhin V.V., Kamynin V.V.

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The influence of electrochemical machining parameters on power consumption and MRR by Lara Salman, Abbas Ibrahim, Baraa Albaghdadi

“…This process can be used to machine objects that are difficult or impossible to create using conventional machining processes. …”
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INFLUENCE OF MACHINING ON QUALITY PARAMETERS OF OPTICAL METAL PRODUCTS by Valentin SHKURUPY

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Prediction of Rheological Parameters of Polymers by Machine Learning Methods by T. N. Kondratieva, A. S. Chepurnenko

“…This paper used k-nearest neighbor method and the support vector machine to determine the rheological parameters of polymers based on stress relaxation curves. …”
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A PSO-based approach for parameter estimation in synchronous machines by Leguebedj Farid, Benmahamed Youcef, Boukhetala Djamel, Boughrara Kamel

Subjects: “…synchronous machine…”
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Machine Learning with Evolutionary Parameter Tuning for Singing Registers Classification by Tales Boratto, Gabriel de Oliveira Costa, Alexsandro Meireles, Anna Klara Sá Teles Rocha Alves, Camila M. Saporetti, Matteo Bodini, Alexandre Cury, Leonardo Goliatt

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Experimental and Statistical Investigation of Machinability of AISI D2 Steel Using Electroerosion Machining Method in Different Machining Parameters by Engin Nas, Onur Özbek, Furgan Bayraktar, Fuat Kara

“…This study investigated the effects of machining parameters on the experimental and statistical results using the electric discharge method in the machining of AISI D2 cold work tool steel. …”
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Tooth Cutting Machining of Cycloid Coupling based on Monolithic Cutter by Zhiyong Wang, Wenhao Yu, Ying Zhang, Yiyu Zeng

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Investigation of Machining Parameters and Surface Quality of AZ-31 Magnesium Alloy Subjected to Spark Machining by Shouryha Bhardwaj, Arnav Agarwal, Ishriit Tibdewal, Gururaj Bolar, Vishwanath Managuli

“…The research work focuses on investigating the application of a Plug Electrical Discharge Machine (EDM) for machining the AZ-31 magnesium alloy and aims to analyze the surface quality of the machined surface for selected input parameters. …”
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Measurements of Tool Wear Parameters Using Machine Vision System by Avinash A. Thakre, Aniruddha V. Lad, Kiran Mala

“…Scanning electron micrographs of the wear zone indicate the severe abrasion marks and damage to the cutting edge for higher machining time. This study indicates that the efficient and reliable vision system can be developed to measure the tool wear parameters.…”
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Predicting EHL film thickness parameters by machine learning approaches by Max Marian, Jonas Mursak, Marcel Bartz, Francisco J. Profito, Andreas Rosenkranz, Sandro Wartzack

“…In this contribution, we demonstrate that machine learning (ML) and artificial intelligence (AI) approaches (support vector machines, Gaussian process regressions, and artificial neural networks) can predict relevant film parameters more efficiently and with higher accuracy and flexibility compared to sophisticated EHL simulations and analytically solvable proximity equations, respectively. …”
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JUSTIFICATION OF PARAMETERS OF MACHINE TECHNOLOGY OF ORGANO-BAKTERIAL FERTILIZERS PREPARATION by G. I. Lichman, N. M. Marchenko, V. P. Elizarov, A. N. Marchenko

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Advancements in machine learning for estimating parameters of wastewater treatment plants by Kolyeva Natalya, Rastyagaev Alexander, Kortenko Lyudmila, Rozhkov Sergey, Sbitneva Mariia, Kuznetsov Aleksandr

“…The aim of the study is to develop and validate machine learning methods for calculating the parameters of aeration tanks of wastewater treatment plants at the stage of technical and commercial proposal. …”
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Influence of suspension’s parameters on fluctuations of the military caterpillar machine’s frame by Sergey Vladimirovich Baglaychuk

“…The article dwells on the theme of solving differential equations of the fluctuations of the military caterpillar machine’s frame with regard to relatedness between them on the grounds of analyzing influence of suspension’s parameters on vertical and angular fluctuations of the military caterpillar machine’s frame. …”
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