Combining Sensor Fusion and a Machine Learning Framework for Accurate Tool Wear Prediction During Machining by Swathi Kotha Amarnath, Vamsi Inturi, Sabareesh Geetha Rajasekharan, Amrita Priyadarshini

“…Effective cutting tool condition monitoring (TCM) is critical for achieving precision, cost efficiency, and minimizing unplanned downtime. …”
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ANALYSIS OF THE INFLUENCE OF THE VARIATION OF THE FUNCTIONAL GEOMETRY OF THE CUTTING TOOL ON THE CUTTING FORCE DURING TURNING WITH TRANSVERSE FEED by Mădălin TOMESCU, Cosmin IONESCU

“…Under these conditions, a correlation was identified between the values of the functional geometric parameters of the cutting tool used for transverse turning of C45 steel (1.0503): EN 10277-2-2008-  150mm and the cutting forces that occur during cutting…”
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Calculation programs as a didactic generator of the discipline “Fundamentals of rocket and space techniques” by Konstantin P. Baslyk

“…The inductive synthesis and deductive analysis are used as psychological and pedagogical methods, as well as the formation of problematic situations.Three specialized calculation programs are used in the implementation of this didactic tool. The programs are: TERRA (B.Trusov) – the calculation of chemical and phase equilibrium of multicomponent systems; RK1 (N.Generalov) – the calculation of flight characteristics and geometrical parameters of the single-stage ballistic missile with liquid rocket engine; TRIJ1 (N.Generalov) – the calculation of trajectory for leading out the payload of the single-stage ballistic missile. …”
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Predictive tools and scoring systems for surgical intervention in antenatal hydronephrosis and pelviureteric junction obstruction: An ATLAS based on comprehensive review of literat... by Leo Edward Fitzgerald Gradwell, Abdullah Khalid Fouda Neel, Bhaskar K. Somani

“…Included studies described original tools or external validation of models using radiological parameters to stratify risk. …”
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A Short Review: Tribology in Machining to Understand Conventional and Latest Modeling Methods with Machine Learning by Seisuke Kano

“…For instance, high-precision machining is increasingly relying on the in situ observation and real-time measurement of tools, test specimens, and machining equipment for effective process control. …”
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Application of Numerical Simulation for Analysis and Optimization of Forging Manufacturing Process by M. Sobociński, M. Nabrdalik

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Small Shifts, Big Impacts: Using Probabilistic Genotyping Software in Forensic Genetics by Camila Costa, Carolina Figueiredo, Sandra Costa, Paulo Miguel Ferreira, António Amorim, Lourdes Prieto, Nádia Pinto

“…Indeed, technological advances regarding the ability to analyze vestigial samples have been making the weight of the evidence dependent on computational tools, pushing the corresponding statistical analyses beyond the traditional algebraic framework. …”
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Digital Model and Assembling of a Lathe by Besedin M., Popowska M., Ivanov V., Trojanowska J.

“…The geometric modeling techniques and the design documentation were implemented to justify the rational choice of design parameters of the machine tool design and its spatial model. …”
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Machining effects and multi-objective optimization in Inconel 718 turning with unitary and hybrid nanofluids under MQL by Paresh Kulkarni, Satish Chinchanikar

“…Designing tooling and cooling systems to prevent cutting tool damage is crucial while machining difficult-to-cut nickel alloys. …”
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Real-time surrogate compensation architecture for machine-tool thermal error compensation with high-performance model by Yubin Huang, Hongyou Hong, Huichen Zhou, Hua Xiang, Jianzhong Yang

“…Based on the look-ahead machine tool control command, the thermal error of next stage could be predicted according to the high-performance thermal error prediction model running on the edge, and the parameters of thermal error surrogate compensation model running on the CNC system could be fitted for high accuracy real-time compensation of the thermal error during the processing process. …”
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Waist to height ratio: a simple screening tool for nonalcoholic fatty liver disease in obese children by Bayram Özhan, Betül Ersoy, Mine Özkol, Seniha Kiremitci, Ahmet Ergin

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Machining-Induced Burr Suppression in Edge Trimming of Carbon Fibre-Reinforced Polymer (CFRP) Composites by Tool Tilting by Tamás Sándor Tima, Norbert Geier

“…In a recent development, appropriate-quality geometric features in CFRPs can be machined using special cutting tools and optimised machining parameters. However, these suitable technologies quickly become inappropriate due to the accelerated tool wear. …”
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Evaluation of the predictors of tooth loss using artificial intelligence-based machine learning approach: A retrospective study by Amit Rajabhau Pawar, Sankari Malaiappan, Pradeep Kumar Yadalam, P R Ganesh

“…The Orange machine learning tool was employed to analyze these data. The free and open-source data visualization and machine learning platform offers user-friendly visual programming for predictive modeling and data analysis. …”
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Investigation of machining performance of waspaloy using copper-graphite composite electrodes in electric discharge machining by Priyanka Putta, Jayakumar V, Giridharan PK

“…This study endeavoured to investigate the machining of Waspaloy using Electric Discharge Machining (EDM), utilizing copper-graphite composites as the tool material. Given the limited existing research on machining Waspaloy with composite tools, this study aims to address this gap by employing a copper-graphite composite tool. …”
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Validation of three models (Tolcher, Levine, and Burke) for predicting term cesarean section in Chinese population by Fangcan Sun, Minhong Shen, Bing Han, Youguo Chen, Fangfang Wu

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Enhancement of Machining Performance of Ti-6Al-4V Alloy Though Nanoparticle-Based Minimum Quantity Lubrication: Insights into Surface Roughness, Material Removal Rate, Temperature,... by Tahir Mehmood, Muhammad Shahid Khalil

“…These performance measures are further assessed by tool wear and surface morphology analysis. a_p, f, and V_c are the most influencing parameters for Ra, MRR, and temperature, regardless of lubrication mode. …”
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Comparison of real-world kidney outcomes with predicted outcomes at the time of diagnosis and post-biopsy in a cohort of children with IgA nephropathy by Mafalda Félix Cabral, Inês Martins, Miguel Pereira, Gonçalo Vale, Madalena Almeida Borges, Maria Soto-Maior Costa, Fernando Caeiro, Mário Góis, Helena Sousa, Telma Francisco, Gisela Neto, Margarida Abranches, Rute Baeta Baptista

“…Data on clinical, laboratory, and histological parameters were analyzed. The IIgAN-PT score was calculated for each patient at biopsy and one year after biopsy. …”
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Enhancement of ultrasonic vibration on friction stir welding of high-strength aluminum alloys: Effects on welding loads, microstructures, and mechanical properties of joints by Zhongxue Jia, Yunqiang Zhao, Guoqing Duan, Korzhyk Volodymyr, Haokun Yang, Zhe Liu, Zhicheng Lin, Yevhenii Illiashenko, Igor Krivtsun

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CUTTING TOOL WEAR CONDITION MONITORING BASED ON ARTIFICIAL BEE COLONY-BP NEUTRAL NETWORK ALGORITHM by WANG WuGuang

“…Cutting tool wear condition recognition method based on artificial bee colony-BP neutral network algorithm is presented, and artificial bee colony algorithm is used to optimize neutral network parameters. …”
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Experimental Investigation of Dynamic Contact Stiffness and Damping in Mixed Lubrication for Machine Tool Sliding Guide Interfaces by Huailin Li, Haonan Dong, Yunpeng Xi, Zhiqiang Gao

“…This paper presents an experimental study on the dynamic contact stiffness and damping characteristics of hybrid lubricated mechanical motion joint surfaces formed by machine tool sliding guides. A stiffness and damping parameter testing system was established, utilizing an m+p dynamic signal acquisition and analysis system as its centerpiece. …”
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