Results 41 to 50 of about 9,576,015 (339)

Machine-driven parameter screen of biochemical reactions [PDF]

open access: yesNucleic Acids Research, 2020
Abstract The development of complex methods in molecular biology is a laborious, costly, iterative and often intuition-bound process where optima are sought in a multidimensional parameter space through step-by-step optimizations.
Charles Plessy   +6 more
openaire   +2 more sources

Optimization of pocket machining strategy in HSM [PDF]

open access: yes, 2011
Our two major concerns, which should be taken into consideration as soon as we start the selecting the machining parameters, are the minimization of the machining time and the maintaining of the high-speed machining machine in good state.
Baili, Maher   +3 more
core   +2 more sources

Machine Learning Magnetic Parameters from Spin Configurations [PDF]

open access: yesAdvanced Science, 2020
AbstractHamiltonian parameters estimation is crucial in condensed matter physics, but is time‐ and cost‐consuming. High‐resolution images provide detailed information of underlying physics, but extracting Hamiltonian parameters from them is difficult due to the huge Hilbert space. Here, a protocol for Hamiltonian parameters estimation from images based
Dingchen Wang   +10 more
openaire   +3 more sources

Optimisation of Process Parameters for Electrochemical Machining of a Curved Hole

open access: yesInternational Journal of Electrochemical Science, 2021
A curved hole surface can be formed by a rotating contour tool. Owing to the shape and the material hardness, traditional cutting methods suffer from significant tool wear and poor machining efficiency.
Xurong Zhou   +4 more
doaj   +1 more source

Experimental Characterization of Electrical Discharge Machining of Aluminum 6061 T6 Alloy using Different Dielectrics [PDF]

open access: yes, 2019
Electrical discharge machining is a non-traditional machining method broadly employed in industries for machining of parts that have typical profiles and require great accuracy.
Ismail, S. O.   +4 more
core   +4 more sources

Performance evaluation of ultrasonic abrasive machining by analysis of variance

open access: yesNihon Kikai Gakkai ronbunshu, 2021
Ultrasonic abrasive machining is a machining method in which an ultrasonically-vibrated tool presses the workpiece via free abrasive grains and induces hammering motion of free abrasives.
Yuta KASUYA   +4 more
doaj   +1 more source

Estimation of Synchronous Machine Parameters [PDF]

open access: yesModeling, Identification and Control: A Norwegian Research Bulletin, 1980
The present paper gives a short description of an interactive estimation program based on the maximum likelihood (ML) method. The program may also perform identifiability analysis by calculating sensitivity functions and the Hessian matrix. For the short circuit test the ML method is able to estimate the q-axis subtransient reactance x''q, which is not
openaire   +2 more sources

Parameter Differentiation Based Multilingual Neural Machine Translation

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2022
Multilingual neural machine translation (MNMT) aims to translate multiple languages with a single model and has been proved successful thanks to effective knowledge transfer among different languages with shared parameters. However, it is still an open question which parameters should be shared and which ones need to be task-specific.
Wang, Qian, Zhang, Jiajun
openaire   +2 more sources

Optimization of the main cutting force in the machining of polytetrafluoroethylene (PTFE)

open access: yesAin Shams Engineering Journal
This paper presents the application of a three-factor linear model for the analysis and optimization of the main cutting resistance during the machining of PTFE (Polytetrafluoroethylene) material, with nominal dimensions of ∅50 × 500 mm.
Slavica Prvulovic   +5 more
doaj   +1 more source

A multi-sensor based online tool condition monitoring system for milling process [PDF]

open access: yes, 2018
Tool condition monitoring has been considered as one of the key enabling technologies for manufacturing optimization. Due to the high cost and limited system openness, the relevant developed systems have not been widely adopted by industries, especially ...
Li, Weidong   +4 more
core   +1 more source

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