Results 21 to 30 of about 59,853 (261)

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, Tiemin Li, Haitong Wang, Yao Jiang   +3 more
doaj   +1 more source

The Thermal Error Modeling with Deep Transfer Learning

Journal of Physics: Conference Series, 2020
Abstract Thermal error of CNC machine tools is one of the main factors affecting the machining accuracy. The data-driven method for thermal error modeling is an effective and efficient, but they have some flaws, such as poor accuracy, bad robustness, and etc. because of having no quite enough data set and imbalanced data set.
Peiwen Li, Ping Lou, Junwei Yan, Nianyun Liu   +3 more
openaire   +1 more source

Thermal Error Modeling of a Machine Tool Using Data Mining Scheme

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2010
In this paper the knowledge discovery technique is used to build an effective and transparent mathematic thermal error model for machine tools. Our proposed thermal error modeling methodology (called KRL) integrates the schemes of K-means theory (KM ...
Kun-Chieh WANG, Pai-Chang TSENG
doaj   +1 more source

The Thermal Error Characteristic Analysis and Thermal Error Modeling Compensation of Aspheric Grinder

Mechanics
According to the literature analysis, the thermal error of CNC machine tools is the main factor affecting its processing accuracy, accounting for about 40% -70% ; This paper discusses the structure assembly of Aspherical Grinder, which is the research carrier of thermal error analysis of NC machine tool, and analyzes the characteristics and concrete ...
Bo YU, Xiao-peng CHANG, Lei YU
openaire   +1 more source

The Thermal Error Estimation of the Machine Tool Spindle Based on Machine Learning

Machines, 2021
Thermal error is one of the main sources of machining error of machine tools. Being a key component of the machine tool, the spindle will generate a lot of heat in the machining process and thereby result in a thermal error of itself.
Yu-Cheng Chiu, Po-Hsun Wang, Yuh-Chung Hu   +2 more
doaj   +1 more source

Partial depletion of plasminogen activator inhibitor‐1 decreases subcutaneous fat cell hypertrophy and liver cholesterol in high‐fat‐fed female mice

FEBS Letters, EarlyView.
Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante, Robert Sharp, Pradip K. Saha, Elizabeth S. Anaya, Elizabeth L. Lieu, Evelyn L. de Groot, Pooja Patel, Mi Jeong Heo, Aaron R. Cox, Kang Ho Kim, Sean M. Hartig   +10 more
wiley   +1 more source

Hybrid-Mechanism Deep Learning Modeling for Machine Tool Thermal Error: Robust Prediction via Few-Sample Learning

Machines
To address spindle thermal error in precision machining, this study proposes a hybrid modeling method. It combines a physical model for linear deformation with a GAT-LSTM network.
Hongru Chen, Yubin Huang, Chaochao Qiu, Xueyan Ning, Pingjiang Wang, Ke Yang   +5 more
doaj   +1 more source

Thermal Error Analysis of Five-Axis Machine Tools Based on Five-Point Test Method

Lubricants, 2022
The accuracy of five-axis machine tools is a key performance indicator. Among the various error sources of high precision five-axis machine tools, thermal and geometric errors occupy the majority.
Yu Li, Hongchuan Tian, Difei Liu, Quanbo Lu   +3 more
doaj   +1 more source

The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation

FEBS Letters, EarlyView.
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge, Vivian Pogenberg, Alexander Baumgart, Bente Siebels, Hartmut Schlüter, Michael Hecht‐Bucher, Aymelt Itzen   +6 more
wiley   +1 more source

Thermal Error Modelling of the Spindle Using Neurofuzzy Systems [PDF]

Mathematical Problems in Engineering, 2016
This paper proposes a new combined model to predict the spindle deformation, which combines the grey models and the ANFIS (adaptive neurofuzzy inference system) model. The grey models are used to preprocess the original data, and the ANFIS model is used to adjust the combined model.
Jingan Feng, Xiaoqi Tang, Yanlei Li, Bao Song   +3 more
openaire   +1 more source