Results 101 to 110 of about 20,107 (303)

Application of multi sensor data fusion based on Principal Component Analysis and Artificial Neural Network for machine tool thermal monitoring

, 2015
Due to the various heat sources on a machine tool, there exists a complex temperature distribution across its structure. This causes an inherent thermal hysteresis which is undesirable as it affects the systematic tool –to-workpiece positioning ...
Potdar, Akshay A., Longstaff, Andrew P., Fletcher, Simon, Mian, Naeem S., Potdar, Akshay   +4 more
core  

Engineered AuNPs/fMWCNT Nanocomposite Electrodes for High‐Sensitivity Methylglyoxal Sensing in Saliva and Sweat for Non‐Invasive Diabetes Monitoring

Advanced Healthcare Materials, EarlyView.
An AuNPs/fMWCNT nanocomposite‐modified screen‐printed carbon electrode was engineered via sequential electrodeposition and integrated into a 3D‐printed microfluidic platform for ultrasensitive methylglyoxal detection. The non‐invasive sensing platform enables rapid analysis in saliva and sweat, highlighting strong potential for wearable point‐of‐care ...
Ahadul Amin Soshi, Md Younus Ali, Dadbeh Pazuki, Matiar M.R. Howlader   +3 more
wiley   +1 more source

A New Synthesis Error Modeling and Compensating Algorithm of the Five-axis Machine Tools

工程科学与技术, 2013
:In order to construct the high precision error compersation model,the topological relationship of machine kinematics was simplified and 59 independent error components were analyzed.Based on the rigid body kinematics with small error assumption,a new ...
要小鹏, 殷国富, 方辉
doaj  

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Intelligent Sensing of Thermal Error of CNC Machine Tool Spindle Based on Multi-Source Information Fusion

Sensors
Aiming at the shortcomings of single-sensor sensing information characterization ability, which is easily interfered with by external environmental factors, a method of intelligent perception is proposed in this paper. This method integrates multi-source
Zeqing Yang, Beibei Liu, Yanrui Zhang, Yingshu Chen, Hongwei Zhao, Guofeng Zhang, Wei Yi, Zonghua Zhang   +7 more
doaj   +1 more source

The Application of ANN and ANFIS Prediction Models for Thermal Error Compensation on CNC Machine Tools

Thermal errors can have significant effects on Computer Numerical Control (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 ...
Abdulshahed, Ali
core  

Novel and efficient thermal error reduction strategy for machine tool performance improvement

, 2008
The accuracy of a machine tool is affected by the heat generated during the machining process. Also, varying environmental conditions produce thermal gradients that flow through the machine structure.
Longstaff, Andrew P., Pislaru, Crinela, Mian, Naeem S., Fletcher, Simon, Myers, Alan   +4 more
core  

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects

Advanced Materials, EarlyView.
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
wiley   +1 more source

Thermal Error Modeling and Compensation for a Motorized Spindle of a Large CNC Gear Profile Grinding Machine Tool

IEEE Access
To address thermally induced errors in a motorized spindle during the grinding process of a large computer numerical control (CNC) gear profile grinding machine tool, a thermal error modeling method based on the partial least squares (PLS) method was ...
Jie Xie, Chundong Zhou, Haibin Xu
doaj   +1 more source