Exploring the anisotropic damage behaviour during the scratching process of SiCf/SiC composites

Composites Part A Applied Science and Manufacturing, Journal Year: 2025, Volume and Issue: 190, P. 108717 - 108717

Published: Jan. 7, 2025

Language: Английский

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Tribological and micro-milling performance of surfactant-free microwave plasma-modified Al2O3 nanoparticles biodegradable lubricants

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: 493, P. 144969 - 144969

Published: Feb. 1, 2025

Language: Английский

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A review on the grinding of SiC-based ceramic matrix composites reinforced by continuous fibre: Damage mechanisms and evaluations

Journal of Manufacturing Processes, Journal Year: 2024, Volume and Issue: 132, P. 261 - 295

Published: Nov. 5, 2024

Language: Английский

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Cold plasma and different nano-lubricants multi-energy field coupling-assisted micro-milling of Al-Li alloy 2195-T8 and flow rate optimization

Journal of Manufacturing Processes, Journal Year: 2024, Volume and Issue: 127, P. 218 - 237

Published: Aug. 6, 2024

Language: Английский

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Multi-modal denoised data-driven milling chatter detection using an optimized hybrid neural network architecture

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 31, 2025

Chatter, a type of self-excited vibration, deteriorates surface quality and reduces tool life machining efficiency. Chatter detection serves as an effective approach to achieve stable cutting. To address the low accuracy in chatter caused by limitations both one-dimensional temporal two-dimensional image modal information, this study proposes multi-modal denoised data-driven milling method using optimized hybrid neural network architecture. A data denoising model combining Complementary Ensemble Empirical Mode Decomposition (CEEMD) Singular Value (SVD) is established. The Ivy algorithm employed optimize hyperparameters CEEMD-SVD. Multi-modal features different states are then obtained time–frequency domain methods Markov transition field methods. Sensitivity analysis conducted Pearson correlation coefficient analysis. (DBMA) for constructed integrating dual-scale parallel convolutional networks, bidirectional gated recurrent units, multi-head attention mechanisms. utilized DBMA. t-SNE visualize extracted from layers model. Results demonstrate that signals use can significantly improve state detection. Compared with other methods, proposed exhibits superior stability robustness.

Language: Английский

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Evaluation of Surface Integrity of Multi-Energy Field Coupling-Assisted Micro-Grinding Hastelloy Alloy

Micromachines, Journal Year: 2025, Volume and Issue: 16(5), P. 565 - 565

Published: May 8, 2025

Hastelloy is widely used in the manufacturing of high-temperature components aerospace industry because its high strength and corrosion-resistant physical properties, as well ability to maintain excellent mechanical properties at temperatures. However, with developments science technology, amount available for use corrosive environments increasing, their structures are becoming more complex varied, requirements regard surface quality has also become stringent. The integration cold plasma (CP) nano-lubricant minimum quantity lubrication (NMQL), within a multi-physics coupling-assisted micro-grinding process (CPNMQL), presents promising strategy overcome this bottleneck. In paper, C-276 was performed under dry, CP, NMQL, CPNMQL conditions, respectively. Contact angle testing, X-ray photoelectron spectroscopy (XPS) analysis, nano-scratch experiments were investigate mechanism compare micro-milling performance different cooling conditions employing various characteristics such grinding temperature, roughness, 3D profile. results showed that depths, temperature roughness significantly reduced compared dry friction. Among them, best performance, 53.4% 54.7% reductions respectively, condition.

Language: Английский

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On the chip formation process of a Zr-based bulk metallic glass: A systematic study

Journal of Non-Crystalline Solids, Journal Year: 2025, Volume and Issue: 665, P. 123612 - 123612

Published: May 10, 2025

Language: Английский

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Material Deformation and Damage Mechanism Based on In-Situ Plasma-Assisted Nanoscratch Test of Single Crystal Silicon

Chinese Journal of Mechanical Engineering, Journal Year: 2025, Volume and Issue: 38(1)

Published: May 19, 2025

Abstract Due to the high hardness and low fracture toughness of single crystal silicon (SCS), it is highly susceptible microscopic cracks subsurface damage during processing. In this paper, we propose adjust mechanical properties SCS by cold plasma jet, systematically investigate influences on material deformation mechanisms nanoscratch tests. The results indicate that can increase critical normal force for plastic-brittle (P-B) conversion SCS. Compared with ordinary test, P-B plasma-assisted scratching at 1 μm/s from 43.6 66.4 mN. Increasing speed under conditions enhance plastic deformability some extent, but its effect not as effective plasma; in addition, increased causes shear bands (SBs) lack time propagate, so quantity SBs 10 reduced compared μm/s. From topographies, localized amorphous cause generation cracks. alleviate scratched introducing multiple stacking faults. This paper may provide a novel strategy high-efficiency low-damage ultra-precision machining hard brittle materials.

Language: Английский

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Performance evaluation of cold plasma and h-BN nano-lubricant multi-field coupling assisted micro-milling of aluminum alloy 6061-T651

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 109, P. 610 - 625

Published: Sept. 28, 2024

Language: Английский

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Innovative Atmospheric Plasma Jets for Advanced Nanomaterial Processing

Journal of Research Updates in Polymer Science, Journal Year: 2024, Volume and Issue: 13, P. 94 - 111

Published: Sept. 2, 2024

This study presents a comprehensive exploration of atmospheric pressure plasma jets (APPJs) as an innovative method for synthesizing and modifying nanomaterials, offering versatile efficient approach to tailoring their properties functionalities. Unlike traditional low-pressure techniques, APPJs operate at ambient conditions, providing significant advantages in scalability, cost-effectiveness, environmental sustainability. review delves into the recent advancements APPJ technology, including development microfluidic configurations that enhance generation control, leading improved efficiency, power, user accessibility. These have opened new possibilities various fields, such antimicrobial coatings, advanced drug delivery systems, high-performance solar cells. The ability facilitate precise surface engineering targeted material deposition positions them transformative technology nanomaterial processing. Despite potential, challenges scalability impact must be addressed realize widespread adoption. underscores promise driving future industrial applications highlights need continued innovation overcome current limitations unlock full potential across multiple sectors.

Language: Английский

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