Results 81 to 90 of about 20,107 (303)

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

COMPENSATION OF MACHINE TOOL THERMAL ERROR BASED ON VIRTUAL SENSORS

مجلة الجامعة الأسمرية, 2021
Thermal errors can have a significant effect on CNC machine tool accuracy. The thermal error compensation system has become a cost-effective method of improving machine tool accuracy in recent years. Thermal errors of ball screw system directly affect the positioning errors of CNC machine tools.
openaire   +1 more source

Near‐Infrared Light‐Driven Zn/Au Janus Micromotors for Multiplex SERS Detection of Anticancer Drugs

Advanced Functional Materials, EarlyView.
Zn/Au Janus micromotors, propelled by thermophoretic effects under NIR light, function as active SERS platforms for single and multiplex detection of anticancer drugs. Their dynamic motion enhances analyte exchange at the Au interface, reducing saturation and competitive adsorption, thereby improving sensitivity and extending the linear detection range.
Tijana Maric, Gohar Soufi, Ziqiao Li, Erick Chica, Amran Abdirasheed Ali Jinow, Nada Al‐Roubaï, Noor Ahmed, Yaman Göksel, Anja Boisen   +8 more
wiley   +1 more source

Application of Machine Tool Thermal Error Compensation in Digital Twin-based System

Journal of Harbin University of Science and Technology
Thermal error significantly affects machining accuracy, demanding careful control. A robust system integrating a highly accurate thermal error model is the key to this control. This can be achieved through deep learning-based models.
MA Chi, LI Minging, LIU Jialan, HE Jialong, HUA Chunlei, WANG Liang   +5 more
doaj   +1 more source

Thermal Error Modelling of a CNC Machine Tool Feed Drive System using FEA Method

, 2016
Recirculating ball screw systems are commonly used in machine tools and are one of the major heat sources which cause considerable thermal drift in CNC machine tools.
Longstaff, Andrew P., Mian, Naeem, Abuaniza, Ayman, Fletcher, Simon, Mian, Naeem S., Longstaff, Andrew   +5 more
core  

Blood Biomarkers and Surface‐Enhanced Raman Spectroscopy for Gout: A Comprehensive Review

Advanced Functional Materials, EarlyView.
Schematic illustrating gout disease progression from asymptomatic hyperuricemia to chronic tophaceous disease, highlighting the limitations of conventional imaging and biochemical diagnostics and the potential of engineered SERS platforms for ultrasensitive blood‐based detection of urate‐related biomarkers across disease stages, with the color gradient
Isuri Perera, Chiranjeevi Kanike, Appurva Tiwari, Hongyan Wu, Larry D. Unsworth, Ben Bin Xu, Xuehua Zhang   +6 more
wiley   +1 more source

Efficient offline thermal error modelling strategy for accurate thermal behaviour assessment of the machine tool.

, 2009
Positional accuracy of the machine tool is affected by the instabilities caused by the thermal gradients produced from the internal and external heat sources.
Longstaff, Andrew P., Pislaru, Crinela, Mian, Naeem S., Fletcher, Simon, Myers, Alan   +4 more
core  

Ultrasmall High‐Entropy Materials: Nanoscale Effects, Synthesis, and Mechanistic Insights

Advanced Functional Materials, EarlyView.
This review article focuses on sub‐10 nm high‐entropy materials that combine nanoscale design with complex compositions for next‐generation applications. ABSTRACT Ultrasmall high‐entropy nanomaterials (USHENMs, <10 nm) merge multicomponent chemistry with size‐dependent effects, forming a distinct class of materials with unprecedented properties.
Yueyue He, Wenbo Wang, Simon Schweidler, Yanjiao Ma, Ben Breitung, Torsten Brezesinski   +5 more
wiley   +1 more source

零传动滚齿机热特性的试验研究

Jixie chuandong, 2010
In direct-drive hobbing machine,the radial thermal deformation of the wokepiece spindle has an important effect on the helix deviation of gear tooth.The radial and axial thermal deformations of the hob spindle have a great effect on pitch deviation and ...
谭雪松, 陈霖, 王时龙, 孙小响
doaj  

Temperature measuring points selection based on the effect of thermal deformation of components

Case Studies in Thermal Engineering
Modeling and compensation are important methods to reduce the impact of thermal error on the accuracy for machine tools. However, the premise for obtaining good results is the appropriate selection of key temperature measuring points (KTMPs). The current
Haiyang Liu, Xianying Feng, Yandong Liu, Ming Yao, Anning Wang   +4 more
doaj   +1 more source