Freitas Bruno, Richhariya Vipin, Silva Mariana, Vaz António, Lopes Sérgio F, Carvalho Óscar
Center for MicroElectroMechanical Systems (CMEMS-Uminho), University of Minho, 4800-058 Guimarães, Portugal.
Algoritmi Research Centre, University of Minho, 4800-058 Guimarães, Portugal.
Materials (Basel). 2025 Sep 10;18(18):4249. doi: 10.3390/ma18184249.
It is challenging to manufacture complex and intricate shapes and geometries with desired surface characteristics using a single manufacturing process. Parts often need to undergo post-processing and must be transported from one machine into another between steps. This makes the whole process cumbersome, time-consuming, and inaccurate. These shortcomings play a major role during the manufacturing of micro and nano products. Hybrid manufacturing (HM) has emerged as a favorable solution for these issues. It is a flexible process that combines two or more manufacturing processes, such as additive manufacturing (AM) and subtractive manufacturing (SM), into a single setup. HM works synergistically to produce complex, composite, and customized components. It makes the process more time efficient and accurate and can prevent unnecessary transportation of parts. There are still challenges ahead regarding implementing and integrating sensors that allow the machine to detect defects and repair or customize parts according to needs. Even though modern hybrid machines forecast an exciting future in the manufacturing world, they still lack features such as real-time adaptive manufacturing based on sensors and artificial intelligence (AI). Earlier reviews do not profoundly elaborate on the types of laser HM machines available. Laser technology resolutely handles additive and subtractive manufacturing and is capable of producing groundbreaking parts using a wide scope of materials. This review focuses on HM and presents a compendious overview of the types of hybrid machines and setups used in the scientific community and industry. The study is unique in the sense that it covers different HM setups based on machine axes, materials, and processing parameters. We hope this study proves helpful to process, plan, and impart productivity to HM processes for the betterment of material utilization and efficiency.
使用单一制造工艺制造具有所需表面特性的复杂精细形状和几何结构具有挑战性。零件通常需要进行后处理,并且在各步骤之间必须从一台机器运输到另一台机器。这使得整个过程繁琐、耗时且不准确。这些缺点在微纳产品制造过程中起着重要作用。混合制造(HM)已成为解决这些问题的理想方案。它是一种灵活的工艺,将两种或更多种制造工艺,如增材制造(AM)和减材制造(SM),整合到一个设置中。HM协同工作以生产复杂、复合和定制的部件。它使过程更具时间效率和准确性,并可防止零件的不必要运输。在实现和集成传感器方面仍存在挑战,这些传感器可使机器检测缺陷并根据需要修复或定制零件。尽管现代混合机器在制造业中预示着令人兴奋的未来,但它们仍然缺乏诸如基于传感器和人工智能(AI)的实时自适应制造等功能。早期的综述没有深入阐述可用的激光HM机器的类型。激光技术坚决地处理增材和减材制造,并且能够使用广泛的材料生产具有开创性的零件。本综述聚焦于HM,并简要概述了科学界和工业界使用的混合机器和设置的类型。该研究的独特之处在于它涵盖了基于机器轴、材料和加工参数的不同HM设置。我们希望这项研究对改进材料利用和效率的HM工艺的处理、规划和提高生产率有所帮助。