Results 61 to 70 of about 407,922 (287)
The exponential growth of cutting-edge technologies continuously pushing the manufacturing industry into the paradigm of smart manufacturing. Smart manufacturing provides the pace of highly competitive market demand and customized intensive production ...
Ahmad Sajjad +3 more
doaj +1 more source
Fog computing and convolutional neural network enabled prognosis for machining process optimization [PDF]
Cloud enabled prognosis systems have been increasingly adopted by manufacturing industries. The effectiveness of the cloud systems is, however, crippled by the high latency of data transfer between shop floors and the cloud.To overcome the limitation ...
Li, Weidong +3 more
core +1 more source
Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology
We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham +7 more
wiley +1 more source
Research on Multi-Scale Point Cloud Completion Method Based on Local Neighborhood Dynamic Fusion
Point cloud completion reconstructs incomplete, sparse inputs into complete 3D shapes. However, in the current 3D completion task, it is difficult to effectively extract the local details of an incomplete one, resulting in poor restoration of local ...
Yalun Liu, Jiantao Sun, Ling Zhao
doaj +1 more source
THE EFFECT OF LATERAL LIFTING TASKS ON HAND GRIP AND PINCH STRENGTH MEASUREMENTS
In lateral material handling tasks, which is very common in industries, warehouse systems, and other sectors, the workers can lead to work-related musculoskeletal disorders (WMSDs) because of the task and work designs, especially in upper extremities ...
Joe Yee Tan +3 more
doaj +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Highlights Universal, high-precision and wafer-scale (~ 4-inch) transfer lithography of multiple commercial photoresists for patterning various lithography-incompatible substrates.
Qinhua Guo +7 more
doaj +1 more source
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo +3 more
wiley +1 more source
Chestnut classification is essential for improving postharvest processing efficiency and supporting large-scale commercialization; however, conventional manual sorting is labor intensive, inconsistent, and unsuitable for high-throughput operations.
Tae Hyong Kim, Ki Hyun Kwon, Ah-Na Kim
doaj +1 more source
Discrete event simulation and virtual reality use in industry: new opportunities and future trends [PDF]
This paper reviews the area of combined discrete event simulation (DES) and virtual reality (VR) use within industry. While establishing a state of the art for progress in this area, this paper makes the case for VR DES as the vehicle of choice for ...
Hutabarat, Windo +3 more
core +1 more source

