Results 21 to 30 of about 20,107 (303)

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

Thermal Analysis for Condition Monitoring of Machine Tool Spindles

, 2012
Decreasing tolerances on parts manufactured, or inspected, on machine tools increases the requirement to have a greater understanding of machine tool capabilities, error sources and factors affecting asset availability. Continuous usage of a machine tool
Willoughby, P., Longstaff, Andrew P., Longstaff, A. P., Fletcher, Simon, Willoughby, Peter, Clough, D., Fletcher, S., Clough, David A   +7 more
core   +1 more source

The Errors Recognition and Compensation for the Numerical Control Machine Tools Based on Laser Testing Technology

Open Physics, 2019
To improve the accuracy of numerical control machine tools error, this paper studies the application of laser testing technology in numerical control machine tool, and put forward a laser interferometer automatic aiming system which can conduct space ...
Gao Qian, Zhang Pingchuan
doaj   +1 more source

Vertical Machining Center Feed Axis Thermal Error Compensation Strategy Research

Applied Sciences, 2023
CNC machine tools are a measure of national manufacturing and comprehensive national strength and how to reduce CNC machine errors in modern industry has received much attention from all walks of life.
Bo Huang, Jiacheng Xie, Xiang Liu, Jiawei Yan, Kang Liu, Ming Yang   +5 more
doaj   +1 more source

Thermal error modelling of machine tools based on ANFIS with fuzzy c-means clustering using a thermal imaging camera

, 2015
Thermal errors are often quoted as being the largest contributor to CNC machine tool errors, but they can be effectively reduced using error compensation.
Longstaff, Andrew P., Fletcher, Simon, Abdulshahed, Ali, Myers, Alan, Abdulshahed, Ali M.   +4 more
core   +1 more source

Research on Machine Tool Thermal Error Compensation Based on an Optimized LSTM Model

Actuators
Thermal error is a significant factor affecting the machining accuracy of machine tools, and error compensation is an economical and effective method to improve machine tool accuracy.
Xiangrui Zhao, Zhiwei Hu, Jonathan Tang, Zhenlei Chen   +3 more
doaj   +1 more source

The application of ANFIS prediction models for thermal error compensation on CNC machine tools

, 2015
Thermal errors can have significant effects on CNC machine tool accuracy. The errors come from thermal deformations of the machine elements caused by heat sources within the machine structure or from ambient temperature change.
Longstaff, Andrew P., Fletcher, Simon, Abdulshahed, Ali, Abdulshahed, Ali M.   +3 more
core   +1 more source

Automatic planning for machine tool calibration: A case study [PDF]

, 2012
Machine tool owners require knowledge of their machine’s capabilities, and the emphasis increases with areas of high accuracy manufacturing. An aspect of a machine’s capability is its geometric accuracy. International Standards and best-practice guides
P. Gregory, Parkinson, Simon, Parkinson, S., Fletcher, Simon, S. Fletcher, Crampton, Andrew, Fletcher, S., Crampton, A., A. Crampton, Longstaff, Andrew P., Longstaff, A. P., S. Parkinson, Gregory, Peter, A.P. Longstaff   +13 more
core   +1 more source

Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis

Molecular Oncology, EarlyView.
This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht, Sameer Gupta, Amrita Chaurasia, Manisha Sachan   +3 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source