Results 111 to 120 of about 1,686,690 (280)

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Intelligent shop scheduling for semiconductor manufacturing [PDF]

, 2003
Semiconductor market sales have expanded massively to more than 200 billion dollars annually accompanied by increased pressure on the manufacturers to provide higher quality products at lower cost to remain competitive.
Arisha, Amr
core   +1 more source

Intelligent production planning for complex garment manufacturing

, 2013
Apparel production is characterised by labour-intensive manual operations, frequent style changes, seasonal demand and shortening production lead times.
Mok, P. Y., Mok, PY, Fan, J. T., Wong, WK, Leung, SYS, Leung, S. Y.S., Wong, W. K., Cheung, TY, Fan, JT, Cheung, T. Y.   +9 more
core   +1 more source

Rational Tuning of Hygroscopic Oscillation of Stacked Nanoflake Assemblies for Continuous Ambient Energy Harvesting

Advanced Materials, EarlyView.
Stacked nanoflake assembly (SNA) membranes can oscillate autonomously, offering opportunities for soft actuation and energy harvesting. This work uncovers the physical mechanism behind the sustained oscillation of SNA membranes in gradient humidity and identifies three governing dimensionless parameters, enabling rational design for optimizing SNA ...
Zijing Zhang, Jimin Fu, Gesa Zhang, Zhihua Liang, Boxun Zhang, Haimin Yao   +5 more
wiley   +1 more source

A framework to support the lifecycle of virtual manufacturing enterprises

, 2014
Paper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems ...
Ferreira, Filipe, Américo Azevedo, José Faria, Faria, José, Filipe Ferreira, Azevedo, Américo   +5 more
core   +1 more source

A non-singular sliding mode controller for quadrotor attitude with predefined time disturbance observer

Advances in Mechanical Engineering
In this paper, a quadrotor attitude controller based on a predefined time disturbance observer and non-singular predefined time sliding mode is proposed to reject unknown disturbances.
Jingxin Dou, Dongwu Xie, Yingliang Wu, Ti Zhang   +3 more
doaj   +1 more source

Bioinspired Adaptive Surfaces for Intelligent Liquid Manipulation: Progressing From Passive and Active to Hybrid Strategies

Advanced Materials, EarlyView.
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao, Yiyuan Zhang, Liqiu Wang, Alan C. H. Tsang   +3 more
wiley   +1 more source

Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications

Advanced Materials, EarlyView.
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko, Chiamaka Akah, Ravinder Dahiya   +2 more
wiley   +1 more source

Robust identification of impact force acting on composite structures via a single FBG sensor using variational mode decomposition

Scientific Reports
Identifying impact force on composite structures is crucial for structural integrity assessment, yet it remains a formidable challenge under operational conditions where impact-induced vibrations are corrupted by ambient noise and other dynamic loads. To
Jian Huang, Xiaoming Yang, Quanxin Jiang, Li Zhang   +3 more
doaj   +1 more source

Supervision-Guided Contrastive Learning for Rolling Bearing Fault Diagnosis Under Label Scarcity

IEEE Access
While deep learning has advanced industrial fault diagnosis, its reliance on massive labeled datasets remains a major obstacle to real-world application.
Xinwei Zhao, Xu Zhang, Lei Su, Ke Li
doaj   +1 more source