A novel hybrid explainable artificial intelligence modelling approach for smart manufacturing [0.03%]
一种用于智能制造的新型混合可解释人工智能建模方法
Puthanveettil Madathil Abhilash,Xichun Luo,Qi Liu et al.
Puthanveettil Madathil Abhilash et al.
Modelling complex manufacturing processes presents significant challenges related to accuracy and explainability. Physics-based models, while interpretable and generalizable, often suffer from reduced accuracy due to simplifications and inc...
Fabrication and characterisation of Ti and DLC coatings on metamaterial-architecture-inspired 3D-printed polymer substrates [0.03%]
基于超材料结构启发的3D打印聚合物基底上的Ti和DLC涂层的制备与表征
Ely Dannier V-Niño,José Luis Endrino,Andrés Díaz Lantada et al.
Ely Dannier V-Niño et al.
This research explores the fabrication and characterisation of metamaterial-architecture-inspired 3D-printed polymer substrates with complex geometries, subsequently functionalized with titanium (Ti) and diamond-like carbon (DLC) coatings d...
Reinforced scan: a reinforcement learning enabled optimal laser scan path planning in laser powder bed fusion additive manufacturing [0.03%]
增强型扫描路径规划在激光粉末床熔融增材制造中的应用研究
Chaoran Dou,Jihoon Chung,Raghav Gnanasambandam et al.
Chaoran Dou et al.
Additive Manufacturing is an innovative technology that fabricates parts layer by layer. However, in Laser Powder Bed Fusion (LPBF), printed metal parts often exhibit residual stresses, deformations, and other defects due to non-uniform tem...
Fabrication of robust and durable superamphiphobic aluminum alloy and zinc surfaces via dual sandblasting and steam treatment [0.03%]
通过双喷砂和蒸汽处理制造坚固耐用的超双疏铝合金和锌表面
Laylan B Hassan,Nawzat S Saadi,Tansel Karabacak
Laylan B Hassan
We present a scalable and environmentally friendly method for fabricating mechanically robust superamphiphobic coatings on aluminum alloy and zinc substrates using a dual-step process combining sandblasting (SB) and steam treatment (ST), fo...
Advancement and emerging challenges in electric-field assisted manufacturing: a review [0.03%]
电场辅助制造技术进展与挑战综述
Seikh Mustafa Kamal,Lorenzo Zani,Ahmad Abdul Kadir et al.
Seikh Mustafa Kamal et al.
Electric-field assisted (EA) manufacturing is a promising hybrid manufacturing technique, offering significant advantages over conventional manufacturing methods. Extensive experimental and numerical studies have demonstrated that the appli...
A systematic review of decision tools for process selection and performance improvement in manufacturing [0.03%]
制造过程选择和性能改进决策工具的系统回顾
Ziyad Sherif,Konstantinos Salonitis
Ziyad Sherif
The growing complexity of manufacturing processes and the increasing diversity of decision-making tools present challenges in selecting effective approaches for process optimisation. Many existing tools are either too narrowly focused or in...
Human factors in digital manufacturing technology adoption: a workforce perspective [0.03%]
数字化制造技术采用中的人因因素——基于劳动力的视角
Anne-Marie Oostveen,Iveta Eimontaite,Sarah Fletcher
Anne-Marie Oostveen
The UK is the twelfth-largest manufacturing nation globally, yet its adoption of digital manufacturing technologies (DMTs) lags behind other European countries. In an era where industrial automation and digital transformation are essential ...
Investigation on the effects of the application of a sublimating matte coating in optical coordinate measurement of additively manufactured parts [0.03%]
关于光学坐标测量中应用于激光粉床熔融零件表面的亚光消光剂涂层效果的研究
Sofia Catalucci,Tomáš Koutecký,Nicola Senin et al.
Sofia Catalucci et al.
Coating sprays play a crucial role in extending the capabilities of optical measuring systems, especially when dealing with reflective surfaces, where excessive reflections, caused by incident light hitting the object surface, lead to incre...
Modal identification of machine tool spindle units by output only operational modal analysis [0.03%]
基于仅输出运行模态分析的机床主轴单元模态识别研究
Patrick Chin,Stephen C Veldhuis
Patrick Chin
Accurate tracking of modal characteristics is a valuable diagnostic tool for condition monitoring of machine tool spindle units. While experimental modal analysis (EMA) is the conventional method used for machine tool modal identification, ...
Rishabh Arora,Omer Music,Julian M Allwood
Rishabh Arora
The deep drawing process in the automotive industry generates up to 45% material waste. To address this issue, the folding-shearing process was developed as a drop-in solution, enabling the formation of parts in pure shear with minimal thic...