Results 141 to 150 of about 1,838,834 (287)

A data-driven approach for high-accuracy tool wear prediction in machining Hastelloy C276. [PDF]

Sci Rep
Abdullah M, Rao ACU, Ramachandran T, Biswal S, Chaudhary SP, Singh R, Mishra A, Mann VS, Bhowmik A, Abate L.   +9 more
europepmc   +1 more source

Tool Wear Prediction Based on Artificial Neural Network during Aluminum Matrix Composite Milling. [PDF]

Sensors (Basel), 2020
Wiciak-Pikuła M, Felusiak-Czyryca A, Twardowski P.   +2 more
europepmc   +1 more source

Micropillar‐Engineered Hybrid Adhesive Patch for Surface‐Conformable and Directional Adhesion

Advanced Materials Technologies, EarlyView.
This work presents a surface‐conformable hybrid adhesive integrating height‐optimized hexagonal micropillars with open‐rectangular cuts. The micropillars enhance rough‐surface contact and microscale crack arrest, while the cuts guide and reverse interfacial cracks for strong and directional adhesion. The multiscale architecture achieves robust pull‐off
Seongjin Park, Dong Kwan Kang, Haejin Bae, Ho‐Sup Jung, Hoon Eui Jeong   +4 more
wiley   +1 more source

Real-Time Cutting Temperature Monitoring and Tool Wear Prediction with Integrated Thin-Film Thermocouples and Coupled Simulation. [PDF]

Micromachines (Basel)
Luo Y, Zuo F, Lyu B, Zhang X, Ge X.
europepmc   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Research on Tool Wear Prediction Method Based on CNN-ResNet-CBAM-BiGRU. [PDF]

Sensors (Basel)
Sun B, Wang H, Zhang J, Zhang L, Wu X.
europepmc   +1 more source

Hierarchical Multi‐Material Architectures With Gradient Design for Dynamic‐Range Flexible Tactile Sensing

Advanced Materials Technologies, EarlyView.
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi, Domenic Quiquero, Yan Yan Shery Huang, HaoTian Harvey Shi   +3 more
wiley   +1 more source

CBN cutting tool's surface roughness and tool wear prediction using JOA-optimized CNN-LSTM. [PDF]

Sci Rep
Khetre S, Bongale A, Kumar S.
europepmc   +1 more source

Nature‐Derived Chitosan Biopolymer: A Promising Candidate for Sustainable Electronics

Advanced Materials Technologies, EarlyView.
In the creation of environmentally friendly devices, nature‐derived chitosan biopolymer is a promising contender for sustainable electronic research. It can be utilized to create more ecologically friendly scalable gadgets and has a variety of uses in different active layers of electronics.
Joshua McDonald, Ali Nawaz, Amandeep Singh, Prashant Sonar   +3 more
wiley   +1 more source

Gaussian process regression with physics-guided pseudo-sample augmentation for wear prediction under sparse measurements in milling. [PDF]

Sci Rep
Nguyen HP, Nguyen DT, Kim JM.
europepmc   +1 more source