Numerical optimization of cold gas dynamic spray process parameters through response surface methodology DOI
Chirag Singhal, Qasim Murtaza

Advances in Materials and Processing Technologies, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18

Published: Dec. 11, 2024

Copper-Zinc and its alloys are extensively used for the corrosion protection of metal substrate surfaces like steel. Cold gas dynamic spraying (CGDS) is a material coating technique in which particles directly adhere to surface at relatively low temperature. Numerical simulation (CFD) better alternative understanding CGDS as compared experimental data due less expenditure energy consumption CFD. Optimisation can be done either by varying process parameters or improving design de-Laval nozzle. In this study, Response Surface Methodology (Central Composite Design) was optimise cold spray deposition efficiency using 2-D axisymmetric model such carrier temperature, stand-off distance, particle size. Various models were predict critical velocity erosion velocity. All under consideration found significant analysing ANOVA. Alloy (C93200) size varied from 2.96 µm 87.04 temperature 287.78K 708.22K. With increase diameter, decreases resulting improved efficiency.

Language: Английский

Preparation of curcumin submicron particles by supercritical antisolvent method with external adjustable annular gap nozzle DOI Creative Commons

Yechen Wang,

Zirui Li,

Sun Fayu

et al.

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

Published: Jan. 26, 2025

The supercritical antisolvent (SAS) method can effectively improve the bioavailability of poorly water-soluble drugs. However, current equipment and processes were not fully developed, making industrialization difficult to achieve. Therefore, an externally adjustable annular gap nozzle its supporting designed. Curcumin was used as a model drug, ethanol solvent, carbon dioxide (SC-CO2) antisolvent. Building on single-factor experiments, Box-Behnken Design-Response Surface Methodology (BBD-RSM) employed systematically investigate effects four process parameters—crystallizer pressure (12–16 MPa), crystallizer temperature (313–323 K), solution concentration (1–2 mg/mL), CO2/solution flow rate ratio (133–173 g/g)—on morphology particle size curcumin particles. Using scanning electron microscopy (SEM) dynamic light scattering (DLS) analyses, morphologies mean diameter ranges examined. To look into how SAS affects TML's chemical physical characteristics, X-ray diffraction analysis (XRD) Fourier-transform infrared spectroscopy (FT-IR) further performed. Experimental results show that, had greatest effect size, followed by concentration, while least influence. optimum conditions are operational set with 15 MPa, 320 K, 1.2 mg/mL, 134 g/g, resulting in submicron particles average 808 nm being obtained. This study demonstrated feasibility associated process, showcasing significant potential for reducing enhancing

Language: Английский

Citations

1
One-step fabrication of functionalized electrodes on 3D-printed polymers for triboelectric nanogenerators DOI
Semih Akin, Taehoo Chang, Sk Shamim Hasan Abir

et al.

Nano Energy, Journal Year: 2024, Volume and Issue: 129, P. 110082 - 110082

Published: Aug. 3, 2024

Language: Английский

Citations

5
Numerical simulation of the effects of spraying parameters on the bow shock wave and atomized droplets deposition DOI
Jun Song,

Wenjun Zhou,

Wei Shang

et al.

Materials Chemistry and Physics, Journal Year: 2025, Volume and Issue: 341, P. 130919 - 130919

Published: April 22, 2025

Language: Английский

Citations

0
Design of the Dual-Path Cold Spray Nozzle to Improve Deposition Efficiency DOI Creative Commons
Hongjun Li, Yong Le, Hao Xu

et al.

Journal of Manufacturing and Materials Processing, Journal Year: 2025, Volume and Issue: 9(5), P. 144 - 144

Published: April 28, 2025

This paper designs a Dual path cold spray nozzle and studies its performance during the process through numerical simulations optimization experiments. The gas flow field inside particle acceleration were simulated using Fluent software2020R1. orthogonal experimental method was used to analyze effects of five geometric parameters on performance, determining optimal design parameter combination. Modeling simulation calculations based combination showed that average impact velocity increased by nearly 17 m/s, number particles exceeding theoretical critical 100, deposition efficiency improved 10%. Experimental results indicated compared single-channel nozzle, from 20.22% 28.26%, porosity 10.51% 9.12%, microhardness also increased. test data in good agreement with previous results, validating accuracy model providing an important reference for improvement subsequent parameters.

Language: Английский

Citations

0
A predictive modeling approach for cold spray metallization on polymers DOI
Jung-Ting Tsai, Semih Akin, David F. Bahr

et al.

Surface and Coatings Technology, Journal Year: 2024, Volume and Issue: 483, P. 130711 - 130711

Published: April 2, 2024

Language: Английский

Citations

3
Design, modeling, and characterization of a pulsed cold spray system DOI

T Gabor,

Yijie Wang, Semih Akin

et al.

Surface and Coatings Technology, Journal Year: 2025, Volume and Issue: unknown, P. 131984 - 131984

Published: Feb. 1, 2025

Language: Английский

Citations

0
Fundamentals of IoT and Machine Learning DOI
Rajeshwari Sissodia,

ManMohan Singh Rauthan,

Varun Barthwal

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 30

Published: March 28, 2025

The convergence of the Internet Things (IoT) and Machine Learning (ML) is reshaping industries by enabling smarter, data-driven decision-making operational efficiencies. This chapter delves into foundational principles IoT, illustrating how interconnected devices generate vast amounts real-time data. It then explores role ML algorithms in analyzing this data to uncover patterns, optimize processes, enhance automation. discusses emerging trends such as adoption 5G networks for improved connectivity, federated learning decentralized processing, expanding artificial intelligence predictive analytics Additionally, it highlights importance continuous adaptation these rapidly evolving fields, well potential groundbreaking innovations both everyday applications industrial operations. By addressing opportunities challenges, provides a comprehensive understanding IoT are shaping future technology society.

Language: Английский

Citations

0
Fully Additively Manufactured Counter Electrodes for Dye-Sensitized Solar Cells DOI Creative Commons
Semih Akin, Sungdo Kim, Chul Ki Song

et al.

Micromachines, Journal Year: 2024, Volume and Issue: 15(4), P. 464 - 464

Published: March 29, 2024

In dye-sensitized solar cells (DSSCs), the counter electrode (CE) plays a crucial role as an electron transfer agent and regenerator of redox couple. Unlike conventional CEs that are generally made glass-based substrates (e.g., FTO/glass), polymer appear to be emerging candidates, owing their intrinsic properties lightweight, high durability, low cost. Despite great promise, current manufacturing methods on polymeric suffer from serious limitations, including conductivity, scalability, process complexity, need for dedicated vacuum equipment. present study, we employ evaluate fully additive route can enable fabrication DSSCs in high-throughput eco-friendly manner with improved performance. The proposed approach sequentially comprises: (1) material extrusion 3-D printing substrate; (2) conductive surface metallization through cold spray particle deposition; (3) over-coating thin-layer catalyzer graphite pencil. fabricated electrodes characterized terms microstructure, electrical photo-conversion efficiency. Owing its promising conductivity (8.5 × 104 S·m−1) micro-rough structure (Ra ≈ 6.32 µm), additively manufactured led ≈2.5-times-higher efficiency than traditional FTO/glass. results study suggest advance field by addressing limitations CE platforms.

Language: Английский

Citations

2
Efficient layer-building approach for promising cold spray additive manufacturing DOI
Yingdong Wu,

Chengchuan Sun,

Jing Lü

et al.

Journal of Manufacturing Processes, Journal Year: 2024, Volume and Issue: 133, P. 642 - 653

Published: Dec. 3, 2024

Language: Английский

Citations

2
Numerical Simulation and Experimental Study of Gas–Solid Two-Phase Spraying of Dry Powder Fire-Extinguishing System Based on Fire-Extinguishing Inspection Robot DOI Open Access

Shengli Chu,

Tao Chen, Yifan Gan

et al.

Processes, Journal Year: 2024, Volume and Issue: 12(6), P. 1239 - 1239

Published: June 17, 2024

In order to solve the problem where traditional intelligent inspection robot only has a single function, we studied use of dry powder (including an ultra-fine powder) as fire-extinguishing medium for first time. robots, spray pressure is difficult control, and there are several other issues. For integrated inspection, intelligent, nitrogen-driven using in pressure-controlled was developed. On this basis, investigate particle spraying gas–solid two-phase mechanism, well flow characteristics influence relevant parameters on effect, system established part computational fluid dynamics model. The field motion were analyzed explore micro-mechanisms different driving pressures, pipe diameters, nozzle configurations powder. macroscopic effect could not be revealed, experimental platform set up, experiments verified accuracy numerical simulation results. We also investigated under configurations, loading ratios. Finally, orthogonal test designed based results single-factor find best combination required achieve optimal effect. research can provide theoretical technical reference design development systems.

Language: Английский

Citations

0