Deep learning based load station inspection for smart manufacturing with limited data [0.03%]
基于深度学习的智能制造载荷站检测（数据有限）
Yasir Ijaz,Sonya Coleman,Dermot Kerr et al.
Yasir Ijaz et al.
Fast and accurate industrial Load Station (LS) inspection is crucial in manufacturing environments. This study addresses the challenges of deploying a deep learning-based solution for LS inspection in semiconductor wafer handling, where the...
Deriving proxy life cycle assessment datasets for manufacturing machines through data clustering [0.03%]
基于数据聚类的机器制造过程的代理生命周期评估数据集研究
Nathan Dodd,Lenny Koh,Rachael Rothman
Nathan Dodd
Conducting Life Cycle Assessments (LCAs) for machines and tools in manufacturing is often time-intensive and hampered by difficulties in accessing suitable datasets. It is, nevertheless, important to consider the life cycle impacts of the m...
Machine learning informed additive manufacturing of stainless steel 410 using cold metal transfer-based metal inert gas welding [0.03%]
基于金属惰性气体焊接的冷金属转接加法制造不锈钢410的机器学习研究
Swati Singh,Amritbir Singh,Shiva Sekar et al.
Swati Singh et al.
This study investigates the use of machine learning to predict bead geometry in cold metal transfer (CMT)-based wire-arc additive manufacturing (WAAM) of SS410 martensitic stainless steel. A dataset comprising 50 experimentally deposited si...
Simultaneous dimension and tolerance design for robot manipulator considering cost and positioning accuracy reliability [0.03%]
考虑成本和定位精度可靠性的机器人操作臂的联合尺寸和公差设计
Zhiwei Zhao,Yan Jin,Paul Goodall et al.
Zhiwei Zhao et al.
Tolerance allocation is an important design step for determining robot accuracy and directly affecting manufacturing cost. However, existing methods typically consider dimension synthesis first before tolerances are allocated, which neglect...
Peixiong Wang,Wenbin Zhong,Maomao Wang et al.
Peixiong Wang et al.
Silicon carbide (SiC) has become an increasingly important material for optical and semiconductor applications owing to its exceptional properties. However, its extreme hardness and brittleness pose significant challenges to traditional mac...
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...