A Robust Dual‐mode Self‐Monitoring Battery Thermal Management System via Bilayer Structural Design
Advanced Functional Materials, EarlyView.An adaptive dual‐mode material capable of both evaporative cooling and photothermal preheating is developed. It achieves a cooling efficiency of 53.9%, surpassing existing evaporative cooling counterparts, and a self‐monitoring capability, making it ideal for electric vehicles, portable electronics, and grid‐scale energy storage.
Shanchi Wang +7 more
wiley +1 more source
The Effects of Lubricooling Ecosustainable Techniques on Tool Wear in Carbon Steel Milling. [PDF]
Materials (Basel), 2023 Villarrazo N +4 more
europepmc +1 more source
Evaluation and auger analysis of a zinc-dialkyl-dithiophosphate antiwear additive in several diester lubricants [PDF]
The wear of pure iron in sliding contact with hardened M-2 tool steel was measured for a series of synthetic diester fluids, both with and without a zinc dialkyl dithiophosphate (ZDP) antiwear additive, as test lubricants.
Brainard, W. A., Ferrante, J.
core +1 more source
A Review on Numerical Simulation and Comparison of Carbide and HSS Tool Wear Rate while Drilling with Difficult To Cut Super Alloy Titanium Based on Archard Model [PDF]
, 2018 A Carbide and HSS tool wear rate simulation using Archardˊs wear model is proposed, finite element modelling is done using commercial finite element software ABAQUS/explicit. ABAQUS interface was used to simulate the contact pressure.
Rafiuddin, S. A. (Shaikh) +1 more
core
Advanced Functional Materials, EarlyView.This study presents a Ti3C2Tx MXene/WPU nacre‐mimetic nanomaterial as a printable ink for direct‐write printing onto textiles‐based sensors. The resulting wearable device demonstrates high sensitivity, biocompatibility, and mechanical strength. Furthermore, NFC‐enabled humidity sensor produces time‐series data, which informs a machine learning ...
Lulu Xu +6 more
wiley +1 more source
An online monitoring method of milling cutter wear condition driven by digital twin
Scientific ReportsReal-time online tracking of tool wear is an indispensable element in automated machining, and tool wear directly impacts the processing quality of workpieces and overall productivity.
Xintian Zi, Shangshang Gao, Yang Xie
doaj +1 more source
Tool Wear Condition Monitoring Method Based on Deep Learning with Force Signals. [PDF]
Sensors (Basel), 2023 Zhang Y, Qi X, Wang T, He Y.
europepmc +1 more source
Certain Studies on Wear of Punching Tool Utilizing the Radio-Isotope
, 1960 Toshio SATA, Kunio Abe, Kiyoshi Nakajima
openalex +2 more sources
Closure to “Discussion of ‘Tool and Engineering Materials With Hard and Wear-Resistant Infusions’” (1972, ASME J. Eng. Ind., 94, pp. 767–768) [PDF]
, 1972 Alfred Schmidt
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