Effects of ultrasonic nanolubrication on milling performance and surface integrity of SiCp/Al composites DOI

Shuguo Hu,

Xiaoming Wang, Teng Gao

et al.

The International Journal of Advanced Manufacturing Technology, Journal Year: 2024, Volume and Issue: 135(9-10), P. 4865 - 4878

Published: Nov. 13, 2024

Language: Английский

Force model of ultrasonic empowered minimum quantity lubrication grinding CFRP DOI
Teng Gao, Peiming Xu,

Wei Wang

et al.

International Journal of Mechanical Sciences, Journal Year: 2024, Volume and Issue: 280, P. 109522 - 109522

Published: July 1, 2024

Language: Английский

Citations

20

SiCp/Al composites from conventional to empowered machining: Mechanisms and processability DOI

Dewei Liu,

Changhe Li,

Peiming Xu

et al.

Composite Structures, Journal Year: 2024, Volume and Issue: 346, P. 118433 - 118433

Published: July 31, 2024

Language: Английский

Citations

20

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

Shuaishuai Wang,

Changhe Li

et al.

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

Published: Feb. 1, 2025

Language: Английский

Citations

2

Topography Modeling of Surface Grinding Based on Random Abrasives and Performance Evaluation DOI Creative Commons

Yanbin Zhang,

Peng Gong,

Lizhi Tang

et al.

Chinese Journal of Mechanical Engineering, Journal Year: 2024, Volume and Issue: 37(1)

Published: Aug. 22, 2024

Abstract The surface morphology and roughness of a workpiece are crucial parameters in grinding processes. Accurate prediction these is essential for maintaining the workpiece’s integrity. However, randomness abrasive grain shapes formation behaviors poses significant challenges, accuracy current physical mechanism-based predictive models needed. To address this problem, by using random plane method accounting distribution grains, paper proposes novel to model CBN wheels predict roughness. First, kinematic single developed accurately capture three-dimensional wheel. Next, formulating an elastic deformation based on Hertz theory, variation arc length at different depths revealed. Subsequently, ground devised. This integrates normal size spatial positions, elucidate how circumferential axial grains influences formation. Lastly, integrating dynamic effective model, wheel established. examine impact changing grit depth roughness, validate experiments conducted. Results indicate that predicted surfaces closely matches actual surfaces, with deviations as small 2.3%.

Language: Английский

Citations

8

Grinding quality evaluation and removal mechanism of resin-coated SiC and 2.5D-C-SiCs surface strategies DOI
Shuoshuo Qu, Luyao Li, Yuying Yang

et al.

Tribology International, Journal Year: 2024, Volume and Issue: 200, P. 110181 - 110181

Published: Aug. 29, 2024

Language: Английский

Citations

7

Force model in electrostatic atomization minimum quantity lubrication milling GH4169 and performance evaluation DOI
Min Yang, Hao Ma, Zhonghao Li

et al.

Frontiers of Mechanical Engineering, Journal Year: 2024, Volume and Issue: 19(4)

Published: Aug. 1, 2024

Language: Английский

Citations

6

Effect of hBN/MoS2 hybrid nanofluid minimum quantity lubrication on the cutting performance of self-lubricating ceramic tools when machining AISI 4340 DOI
Lei Zhao, Hui Chen, Jingjie Zhang

et al.

Tribology International, Journal Year: 2024, Volume and Issue: 201, P. 110249 - 110249

Published: Sept. 16, 2024

Language: Английский

Citations

4

Enhanced permeation mechanism and tribological assessment of ultrasonic vibration nanolubricants grinding CFRP DOI
Teng Gao, Jixin Liu,

Xiaofeng Sun

et al.

Tribology International, Journal Year: 2025, Volume and Issue: 204, P. 110494 - 110494

Published: Jan. 9, 2025

Language: Английский

Citations

0

Sweating type surface grinding wheels for self-adaptable lubricant delivery governed by cutting temperature and speed DOI
Sarath Babu Thekkoot Surendran,

V.S. Sooraj

Journal of Manufacturing Processes, Journal Year: 2025, Volume and Issue: 134, P. 915 - 931

Published: Jan. 1, 2025

Language: Английский

Citations

0

Investigation on plastic and brittle characteristic of magnesium aluminum spinel in ultra-precision grinding DOI
Peng Gu, Yiran Zhou,

Chenchen Sun

et al.

Precision Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0