Results 201 to 210 of about 71,774 (355)

A review on nozzle wear in abrasive water jet machining application

, 2016
H. Syazwani, G. Mebrahitom, A. Azmir
openalex   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Abrasive Wear, Scuffing and Rolling Contact Fatigue of DLC-Coated 18CrNiMo7-6 Steel Lubricated by a Pure and Contaminated Gear Oil. [PDF]

Materials (Basel), 2021
Tuszyński W, Michalczewski R, Osuch-Słomka E, Snarski-Adamski A, Kalbarczyk M, Wieczorek AN, Nędza J.   +6 more
europepmc   +1 more source

Cross‐Modal Characterization of Thin‐Film MoS2 Using Generative Models

Advanced Intelligent Systems, EarlyView.
Cross‐modal learning is evaluated using atomic force microscopy (AFM), Raman spectroscopy, and photoluminescence spectroscopy (PL) through unsupervised learning, regression, and autoencoder models. Autoencoder models are used to generate spectroscopy data from the microscopy images.
Isaiah A. Moses, Chen Chen, Joan M. Redwing, Wesley F. Reinhart   +3 more
wiley   +1 more source

Additive Manufacturing Meets Gear Mechanics: Understanding Abrasive Wear Evolution in FDM-Printed Gears. [PDF]

Polymers (Basel)
Ciobanu R, Arhip G, Donțu O, Rizescu CI, Grămescu B.   +4 more
europepmc   +1 more source

Mechanical and Abrasive Wear Performance of Titanium Di-Oxide Filled Woven Glass Fibre Reinforced Polymer Composites by Using Taguchi and EDAS Approach. [PDF]

Materials (Basel), 2021
Chairman CA, Ravichandran M, Mohanavel V, Sathish T, Rashedi A, Alarifi IM, Badruddin IA, Anqi AE, Afzal A.   +8 more
europepmc   +1 more source

Influence of Hot Hardness and Microstructure of High‐Alloyed Powder Metallurgical Tool Steels on Abrasive Wear Behavior at Elevated Temperatures [PDF]

, 2019
Nils Wulbieter, Fabian Pöhl, W. Theisen
openalex   +1 more source

REWW‐ARM—Remote Wire‐Driven Mobile Robot: Design, Control, and Experimental Validation

Advanced Intelligent Systems, EarlyView.
The Remote Wire‐Driven robot “REWW‐ARM” demonstrates a new concept of remote actuation that separates electronics from harsh environments while retaining closed‐loop control. Combining tendon‐sheath mechanisms with decoupled joints, it achieves efficient power transmission and autonomous locomotion, manipulation, and underwater operation, suggesting ...
Takahiro Hattori, Kento Kawaharazuka, Temma Suzuki, Keita Yoneda, Kei Okada   +4 more
wiley   +1 more source

Wind Turbine Blade Material Behavior in Abrasive Wear Conditions. [PDF]

Polymers (Basel)
Muntenita C, Titire L, Chivu M, Podaru G, Marin R.   +4 more
europepmc   +1 more source

Study of abrasive and impact and abrasive wear mechanisms of high manganese steel [PDF]

, 2017
V. M. Kolokoltsev, К. Н. Вдовин, V. P. Chernov, Н. А. Феоктистов, D. A. Gorlenko, В. К. Дубровин   +5 more
openalex   +1 more source