Progress in applications of laser induced cavitation on surface processing

Zhang, Zhen; Wei, Shichuan; Wang, Peng; Qiu, Wenzhe; Zhang, Guojun

doi:10.1016/j.optlastec.2023.110212

Cited by 18 publications

(4 citation statements)

References 104 publications

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“…This can extend the lifespan of these components and reduce their maintenance operations. LSTH can also be used to improve the fatigue strength of components that are subject to mechanical fatigue, such as crankshafts and camshafts [48,49]. By hardening the surface of these components, their resistance to fatigue failure can be increased.…”

Section: Applications Lsth In the Automotive Industrymentioning

confidence: 99%

Laser Surface Transformation Hardening for Automotive Metals: Recent Progress

Karamimoghadam,

Rezayat,

Moradi

et al. 2024

Metals

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This article discusses recent advancements in the Laser Surface Transformation Hardening (LSTH) process applied to industrial metals. It focuses on examining the microstructure of the metal surface layer and explores different methods of performing LSTH to evaluate mechanical and surface properties. The study also investigates the utilization of various industrial lasers and simulation software for the LSTH process. The careful analysis of heat transfer and temperature control during LSTH aims to prevent the generation of surface defects like micro-cracks and surface melting. Finite element method (FEM) software effectively simulates the LSTH process. The research provides a comprehensive overview of recent developments in LSTH, categorized based on different metals and subsequent testing, highlighting its applications in the automotive industry. Electrochemical, wear, and microhardness tests are investigated to assess the potential applications of automotive metals.

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Section: Applications Lsth In the Automotive Industrymentioning

confidence: 99%

Laser Surface Transformation Hardening for Automotive Metals: Recent Progress

Karamimoghadam,

Rezayat,

Moradi

et al. 2024

Metals

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“…To improve the pumping performance (high compression ratio and flow rate) of a high-speed small compound molecular pump, based on the regression model from response surface methodology, Non-normalized Neighbor Immune Algorithm (NNIA) is presented for multi-objective optimization to obtain the optimal structural parameters of the bleed stage rotor and compression stage rotor, as shown in Equation (8) [ 25 ]:

…”

Section: The Optimization Of Structure Parametersmentioning

confidence: 99%

Study on the Pumping Performance and Structure Parameters Optimization of High-Speed Small Compound Molecular Pump

Chen,

Zhang,

et al. 2024

Micromachines

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A molecular pump is the core component of vacuum systems in portable mass spectrometers and other analytical instruments. The forms of the existing molecular pumps mainly are the combinations of vertical bleed and compression channel, which have the shortcomings of heavy mass and large volume, which seriously restricts the application and development of portable mass spectrometers. Aiming at the problems of low strength and insufficient pumping performance under the miniaturization constraints (mass of 1.8 kg; exhaust diameter of 25 mm) of molecular pumps, a compound pump consisting of a horizontal bleed channel and multi-stage spiral compression channel is proposed. The pumping principle of the compound molecular pump is analyzed to obtain its preliminary structural size parameters. The test particle Monte Carlo method is presented for establishing an aerodynamic model for a high-speed small compound molecular pump, which can be used to investigate the pumping performance of bleed blades and compression channels in a thin air environment. On the basis of the aerodynamic model, the NNIA multi-objective optimization algorithm is presented to optimize the structural parameters of the compound molecular pump. After structural parameter optimization, the maximum flow rate and compression ratio of the compound molecular pump are increased by 13.6% and 41.6%, respectively. The experimental results of the pumping performance show that the predicted data of the aerodynamic model are in good agreement with the experimental data, with an error of 12–27%. Namely, the established aerodynamic model has high accuracy and the optimized structural parameters of the compound molecular pump can provide basic conditions for the large-scale application and promotion of portable mass spectrometers.

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“…These abnormal discharges, primarily short circuits and arcing, are the principal causes of this impediment. The excessive accumulation of debris can result in a low MRR, a high electrode wear rate, compromised surface integrity, pronounced microcracks, thick recast layers, the substantial dissipation of discharge energy, and the emission of harmful byproducts [90,91]. The development of effective strategies for purging or eliminating debris from the spark gap has emerged as a critical challenge in EDM technology.…”

Section: Hybrid Machining Simulationsmentioning

confidence: 99%

Progress in Simulation Modeling Based on the Finite Element Method for Electrical Discharge Machining

Li,

Sun,

Xing

et al. 2023

Metals

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Electrical Discharge Machining (EDM) is a machining method commonly used to produce complex shapes and deep holes by eroding hard metals with an electric arc. There is a growing demand for process simulation using finite element models in order to improve the quality and efficiency of EDM, to reduce costs, to improve resource efficiency, and to facilitate its application in critical areas such as aerospace and mechanical engineering. Finite element models have greatly improved the prediction accuracy of EDM processes, simulated complex hybrid machining processes, and provided important guidance for the optimization of EDM processes. This paper systematically reviews the research progress of finite element modeling for EDM. Finite element method modeling is evaluated mainly in terms of four indicators: material removal rate, surface roughness, tool wear ratio, and recast layer thickness. Firstly, the importance and application of EDM are described, and the EDM finite element method modeling and its advantages are summarized. Then, the single-spark simulation model and the multi-spark simulation model of EDM are compared and discussed. Among the mainstream finite element models, the prediction error of the material removal rate for single-spark simulation ranges from 8.2% to 14.75%, while the prediction error of the recast layer thickness for multi-spark simulation can be as low as 1.98%. Finally, the applications of finite element modeling in EDM hybrid machining processes’ performance prediction and new material machining are summarized, and future research directions and trends in EDM finite element modeling are predicted.

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Progress in applications of laser induced cavitation on surface processing

Cited by 18 publications

References 104 publications

Laser Surface Transformation Hardening for Automotive Metals: Recent Progress

Laser Surface Transformation Hardening for Automotive Metals: Recent Progress

Study on the Pumping Performance and Structure Parameters Optimization of High-Speed Small Compound Molecular Pump

Progress in Simulation Modeling Based on the Finite Element Method for Electrical Discharge Machining

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