Correlation Stability Problem in Selecting Temperature-Sensitive Points of CNC Machine Tools
Machines, 2022 In the thermal-error compensation of CNC machine tools, temperature-sensitive points (TSPs) are used for predicting thermal error and need to have a high correlation with the thermal error.
Hui Liu +4 more
doaj +1 more source
Variational assimilation for xenon dynamical forecasts in neutronic using advanced background error covariance matrix modelling [PDF]
, 2013 Data assimilation method consists in combining all available pieces of information about a system to obtain optimal estimates of initial states.
Argaud, Jean-Philippe +5 more
core +4 more sources
A Temperature Sensor Clustering Method for Thermal Error Modeling of Heavy Milling Machine Tools
Applied Sciences, 2017 A clustering method is an effective way to select the proper temperature sensor location for thermal error modeling of machine tools. In this paper, a new temperature sensor clustering method is proposed.
Fengchun Li +3 more
doaj +1 more source
Handling Ambient Temperature Changes in Correlative Thermal Error Compensation
Journal of Machine Engineering, 2023 Thermal errors are one of the lead causes for positioning inaccuracies in modern machine tools. These errors are caused by various internal and external heat sources and sinks which shape the machine tool’s temperature field and thus its deformation ...
Christian Naumann +2 more
doaj +1 more source
Error-speed correlations in biopolymer synthesis [PDF]
, 2019 Synthesis of biopolymers such as DNA, RNA, and proteins are biophysical processes aided by enzymes. Performance of these enzymes is usually characterized in terms of their average error rate and speed.
Chiuchiú, Davide +2 more
core +3 more sources
A Review of Thermal Error Modeling Methods for Machine Tools
Applied Sciences, 2021 Thermal error caused by thermal deformation is one of the most significant factors influencing the accuracy of the machine tool. Compensation is a practical and efficient method to reduce the thermal error.
Yang Li +4 more
doaj +1 more source
Comment on Photothermal radiometry parametric identifiability theory for reliable and unique nondestructive coating thickness and thermophysical measurements, J. Appl. Phys. 121(9), 095101 (2017) [PDF]
, 2017 A recent paper [X. Guo, A. Mandelis, J. Tolev and K. Tang, J. Appl. Phys., 121, 095101 (2017)] intends to demonstrate that from the photothermal radiometry signal obtained on a coated opaque sample in 1D transfer, one should be able to identify ...
Beck J. +5 more
core +2 more sources
A Linear Regression Thermal Displacement Lathe Spindle Model
Energies, 2020 Thermal error is one of the main reasons for the loss of accuracy in lathe machining. In this study, a thermal deformation compensation model is presented that can reduce the influence of spindle thermal error on machining accuracy.
Chih-Jer Lin +5 more
doaj +1 more source
Machines, 2023 This study constructs a prediction model of thermal deformation with an artificial neural network and implements the real-time error compensation for a three-axis vertical CNC milling machine in cutting processes to improve the thermal error of the ...
Dang-Khoa Nguyen +2 more
doaj +1 more source
Potential sources of error during virus thermal inactivation [PDF]
Applied and Environmental Microbiology, 1978 A review of virus thermal inactivation data published in the literature demonstrated variations in reported virus resistance. Examination of the methods used indicated that numerous studies were made by heat processing virus suspensions in test tubes.
J T, Tierney, E P, Larkin
openaire +2 more sources