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Machining Performance of Uncoated and Carbide Coated Cutting Inserts in Ti6Al4V Turning: An Experimental and Numerical Approach
In this study, the machinability behaviour of Ti6Al4V alloy was investigated using carbide coated and uncoated inserts at varying cutting speeds,...
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Progress on mechanical and tribological characterization of 2D materials by AFM force spectroscopy
Two-dimensional (2D) materials are potential candidates for electronic devices due to their unique structures and exceptional physical properties,...
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Effect of Post-Deformation Cooling on Microstructure and Mechanical Properties of a Cu-Containing High-Strength Low-Alloy (HSLA) Steel
A Cu-Containing high-strength low-alloy (HSLA) steel was subjected to single-stage near-isothermal forging followed by different post-deformation...
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Learning improvement of spiking neural networks with dynamic adaptive hyperparameter neurons
Spiking neural networks (SNNs) which use spiking neurons as a component, have shown substantial promise in simulating biological neuron mechanisms...
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Research on stress relaxation behavior of confined Chinese fir subjected to compression
The anchorage system can enhance the bending resistance and initial stiffness of timber structure joints. The system applies pressure through...
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Development of Weighted Ensemble Deep Learning Network for Surface Roughness Prediction and Flank Wear Measurement
Recently in the modern manufacturing industries, surface roughness (SR) has become a difficult factor for characterizing the surface quality of the...
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Pears classification by identifying internal defects based on X-ray images and neural networks
In order to increase the sales and profitability, it is essential to classify the pears according to the external morphology (including shape, color...
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Cutting performance and effectiveness evaluation on organic monolayer embrittlement in ductile metal precision machining
In the traditional machining field, the addition of cutting fluid can appropriately reduce cutting forces, dissipate cutting heat, and facilitate the...
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Detwinning and Anneal-Hardening Behaviors of Pre-Twinned AZ31 Alloys under Cryogenic Loading
Detwinning behavior of a pre-twinned magnesium alloy AZ31 at cryogenic temperature was investigated, also with a focus on the annealing hardening...
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Improvement of spinel OER electrochemical property by do** strategy for water splitting
Investigating efficient electrocatalysts for the oxygen evolution reaction (OER) is an essential aspect of numerous energy revolution systems that...
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Exploring object reduction approaches for optimizing decision-making in linguistic concept formal context
Knowledge reduction is a crucial research topic in formal concept analysis. Given the ability of three-way concept analysis to capture attribute...
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A Fatigue Damage Model for Corroded Steel Wires Based on Cellular Automata and Continuum Damage Mechanics
In this paper, a simulation method of fatigue damage evolution based on the cellular automata model and continuum damage mechanics was developed to...
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Microstructure and Wear Resistance of In Situ Synthesized (Ti,V)C Reinforced Nickel Matrix Composite Coatings
In situ synthesized (Ti, V)C reinforced Ni-based composite coatings were prepared using laser cladding method. The phase composition, microstructure,...
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Feasibility Analysis of 3D-Printed Solid Rocket Motors with Different Materials
To reduce the cost of launching satellites into space, the solid rocket motor was manufactured using 3D printing technology. ULTEM1010, PEEK, and...
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Stable generation of Core-Shell droplets in Coaxial Electrohydrodynamic Printing by Numerical Simulation and Jet Mode Recognition
Core-shell droplets exhibit advantageous physical and chemical properties attributed to their unique structural composition, thereby presenting...
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First principles study on the mechanical properties and generalized stacking fault energy of CsCl, CsBr and CsI
In this paper, the lattice constants, elastic anisotropies, and elastic constants (C11, C12 and C44) of three Cs halide materials, CsCl, CsBr and CsI...
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MBGNet:Multi-branch boundary generation network with temporal context aggregation for temporal action detection
Temporal action detection is an important and fundamental video understanding task that aims to locate the temporal regions where human actions or...
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QLDT: adaptive Query Learning for HOI Detection via vision-language knowledge Transfer
Human-object interaction detection can be mainly categorized into two core problems, namely human-object association detection and interaction...