Results 31 to 40 of about 20,107 (303)
Advanced Engineering Materials, EarlyView.This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera +8 more
wiley +1 more source
, 2013 Machine tools are susceptible to exogenous influences, which mainly derive from varying environmental conditions such as the day and night or seasonal transitions during which large temperature swings can occur.
Mian, Naeem +12 more
core +1 more source
Advanced Engineering Materials, EarlyView.The corrosion performance of AlSi7Mg and AlSi10Mg alloys produced through selective laser melting (SLM) was examined under compressive stress in a chloride environment. Electrochemical analyses, including open‐circuit potential (OCP), potentiodynamic polarization (CPP), and electrochemical impedance spectroscopy (EIS), were complemented by scanning ...
Femi John Akinfolarin +2 more
wiley +1 more source
Thermal error prediction and optimal design of cooling structure for oscillating head housing
Case Studies in Thermal EngineeringThe thermal error of machine tool has always been an important reason affecting the accuracy of machine tool. In modern methods to reduce thermal error, thermal error compensation method and thermal error isolation method are two methods with high ...
Zhaolong Li +6 more
doaj +1 more source
Case Studies in Thermal Engineering, 2023 Thermal error is a crucial factor affecting the accuracy of linear motor feed drive systems (LMFDS). To improve the prediction accuracy, a thermal error model for LMFDS considering the multi-field coupling of electromagnetic-thermal-flow (EM-TF) is ...
Maolei Chen, Sitong Xiang, Jianguo Yang
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Advanced Engineering Materials, EarlyView.Trace additions of Sn and Sr combined with a two‐step aging treatment are shown to enhance the microstructure and performance of Al–Zr–Sc conductor alloys. Strength and electrical conductivity increase concurrently through accelerated precipitation of fine Al3(Sc, Zr) precipitates and improved dislocation resistance, offering a cost‐effective pathway ...
Quan Shao +3 more
wiley +1 more source
Efficient Thermal Error Models of Machine Tools
, 2020 ISBN:978-3-907234-09 ...
openaire +3 more sources
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
Creating Ti–Fe α/β Alloys by Diffusion‐Driven Solid‐State Processing
Advanced Engineering Materials, EarlyView.This study proposes making alloys containing fast diffusing elements that are difficult to produce by ingot metallurgy, by diffusion‐driven solid‐state HIP processing of elemental powders and low‐temperature homogenisation. Here, novel Fe‐Ti α–β alloys are formed having fine α–β lamellae, a small β prior grain size without significant intermetallics ...
Jiaqi Xu +10 more
wiley +1 more source
Journal of Machine Engineering, 2023 New approaches, using machine learning to model the thermo-elastic machine tool error, often rely on machine internal data, like axis speed or axis position as input data, which have a delayed relation to the thermo-elastic error.
Christian Brecher +2 more
doaj +1 more source