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A data-driven approach for high-accuracy tool wear prediction in machining Hastelloy C276. [PDF]

Sci Rep
Abdullah M, Rao ACU, Ramachandran T, Biswal S, Chaudhary SP, Singh R, Mishra A, Mann VS, Bhowmik A, Abate L.   +9 more
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A study of economic machining and optimization of machinability parameters

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The effects of machining parameters on conventional machining: An overview

Materials Today: Proceedings, 2021
Abstract This paper presents an overview of the state-of-the-art literature of the influence of machining parameters on conventional machining of materials. It is observed that depth of cut, cutting speed, cutting fluids, and feed rate are the common parameters considered during machining of hard-to-machine materials.
N.K. Angwenyi, N.M. Senga, N.K. Ronoh, F.M. Mwema, E.T. Akinlabi, B. Tanya   +5 more
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Machine vision for the measurement of machining parameters: A review

Materials Today: Proceedings, 2022
Abstract Machining parameters have significant value in manufacturing and machining industries as they result in quality and dimensional accuracy of the product. The machining parameters are measured using various machine vision systems. In this review, machine vision and its various procedures have been discussed that are used to measure machining ...
Abdul Wahab Hashmi, Harlal Singh Mali, Anoj Meena, Irshad Ahamad Khilji, Mohammad Farukh Hashmi, Siti Nadiah binti Mohd Saffe   +5 more
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On Optimization of Machining Parameters

The Fourth International Conference on Control and Automation 2003 ICCA Final Program and Book of Abstracts ICCA-03, 2003
In this paper, an optimization model based on minimum production cost for multi-pass face-milling operations with single-tool applications is presented. Limits on cutting speed, feed rate, depth of cut as well as tool life, surface roughness, cutting force, cutting power are constraints of the model.
null Libao An, null Mingyuan Chen
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A correlation between machining parameters and machinability in EDM

International Journal of Production Research, 1981
These investigations were carried out to determine possible correlations between the EDM machining parameters (pulse on, current) and the machineability components (stock removal, electrode wear, overcut, surface finish and surface integrity). The surface integrity of the component depends on its conformity to tolerance, its surface finish and the ...
S. K. BHATTACHARYYA, M. K. EL-MENSHAWY, S. GARBER, J. WALLBANK   +3 more
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A machine learning oracle for parameter estimation

Statistical Analysis and Data Mining: The ASA Data Science Journal, 2023
AbstractCompeting procedures, involving data smoothing, weighting, imputation, outlier removal, etc., may be available to prepare data for parametric model estimation. Often, however, little is known about the best choice of preparatory procedure for the planned estimation and the observed data.
Lucas Koepke, Mary Gregg, Michael Frey
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Performance parameters for parallel machines

1992
Performance modelling of a real application program which is able to run on a certain real machine begins with the development of abstract models of the application and of the machine. Time cost functions for the primitives of the abstract machine have to be determined which are based on performance and size parameters of the considered configuration ...
Hermann Mierendorff, Helmut Schwamborn
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Study on Optimization of Machining Parameters in Electrochemical Machining

Advanced Materials Research, 2012
In electrochemical machining (ECM) machining accuracy of workpieces is greatly influenced by many machining parameters. In this paper the BP neural network model is employed to optimize machining parameters in ECM. Taking a three dimensional complicated surface as the research object the experimental results have shown that the optimization process can
Lei Wang, Jiang Ning Gai
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Machine learning for parameter identification of electric induction machines

2023
This thesis is concerned with the application of simulated evolution (SE) to the steady-state parameter identification problem of a simulated and real 3-phase induction machine, over the no-load direct-on-line start period. In the case of the simulated 3-phase induction machine, the Kron's two-axis dynamic mathematical model was used to generate the ...
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