Additive Manufacturing of Composite Materials and Functionally Graded Structures Using Archerfish Hunting Technique

IF 1.8 4区工程技术 Q3 ENGINEERING, CHEMICAL

Lubrication Science Pub Date : 2024-08-07 DOI:10.1002/ls.1716

B. Vijaya Prakash, Nitish Koushik, Sanjay Kumar Jha, Karuppasamy Ramasamy

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引用次数: 0

Abstract

This paper proposes an optimisation method for fabricating composite materials and functionally graded structures. Using the proposed method, 3D printing of copper (Cu)–polyethylene (PE) composite, Al2O3–ZrO2 ceramic composite and functionally graded CuO foams are utilised. This work aims to advance the capabilities of additive manufacturing by leveraging nature‐inspired approaches to create complex, tailored structures with enhanced performance across various industries. The major objective of the proposed method is to reduce the feed rate and increase the airflow rate and airflow temperature for the heat transfer process. Using the proposed technique in the advanced preparation conditions, Cu–PE composites with unreliable Cu substances are fabricated. The PE binder particle is melting as well as forming thick composites by means of soft surfaces. Using the proposed AHO approach, functionally graded materials with common distributions can be efficiently optimised. By then, the proposed model is implemented on the MATLAB platform, and its execution is calculated using the current procedures. The proposed technique displays superior outcomes in all existing methods like wild horse optimiser, particle swarm optimisation and heap‐based optimiser. The proposed method shows a throughput of 57 mm3. The existing method shows the throughput of 32, 27 and 45 mm3. The results show that the proposed method has higher throughput compared with existing methods.

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利用箭鱼狩猎技术增材制造复合材料和功能分级结构

本文提出了一种制造复合材料和功能分级结构的优化方法。利用所提出的方法，三维打印了铜（Cu）-聚乙烯（PE）复合材料、Al2O3-ZrO2 陶瓷复合材料和功能分级氧化铜泡沫。这项工作旨在利用自然启发的方法来创建复杂的定制结构，从而增强各行各业的性能，从而提高增材制造的能力。所提方法的主要目标是降低热传导过程中的进料速率，提高气流速率和气流温度。在先进的制备条件下使用所提出的技术，可以制造出含铜量不可靠的铜-聚乙烯复合材料。聚乙烯粘合剂颗粒正在熔化，并通过软表面形成厚复合材料。利用所提出的 AHO 方法，可以有效优化具有常见分布的功能分级材料。随后，在 MATLAB 平台上实现了所提出的模型，并使用当前程序对其执行情况进行了计算。与野马优化法、粒子群优化法和堆优化法等现有方法相比，所提出的技术显示出更优越的结果。拟议方法的吞吐量为 57 立方毫米。现有方法的吞吐量分别为 32、27 和 45 立方毫米。结果表明，与现有方法相比，建议的方法具有更高的吞吐量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Lubrication Science ENGINEERING, CHEMICAL-ENGINEERING, MECHANICAL

CiteScore

3.60

自引率

10.50%

发文量

审稿时长

6.8 months

期刊介绍： Lubrication Science is devoted to high-quality research which notably advances fundamental and applied aspects of the science and technology related to lubrication. It publishes research articles, short communications and reviews which demonstrate novelty and cutting edge science in the field, aiming to become a key specialised venue for communicating advances in lubrication research and development. Lubrication is a diverse discipline ranging from lubrication concepts in industrial and automotive engineering, solid-state and gas lubrication, micro & nanolubrication phenomena, to lubrication in biological systems. To investigate these areas the scope of the journal encourages fundamental and application-based studies on: Synthesis, chemistry and the broader development of high-performing and environmentally adapted lubricants and additives. State of the art analytical tools and characterisation of lubricants, lubricated surfaces and interfaces. Solid lubricants, self-lubricating coatings and composites, lubricating nanoparticles. Gas lubrication. Extreme-conditions lubrication. Green-lubrication technology and lubricants. Tribochemistry and tribocorrosion of environment- and lubricant-interface interactions. Modelling of lubrication mechanisms and interface phenomena on different scales: from atomic and molecular to mezzo and structural. Modelling hydrodynamic and thin film lubrication. All lubrication related aspects of nanotribology. Surface-lubricant interface interactions and phenomena: wetting, adhesion and adsorption. Bio-lubrication, bio-lubricants and lubricated biological systems. Other novel and cutting-edge aspects of lubrication in all lubrication regimes.