Results 81 to 90 of about 6,455,723 (294)

Lightweight design and optimization of pipe connection flanges based on wire arc additive manufacturing

Advances in Mechanical Engineering
Focusing on the problems of material waste, low production efficiency, poor design flexibility and high cost existing in the traditional flange design by conventional casting and machining processes, a flange design method based on wire arc additive ...
Xiaoben Chen, Bo Zhang, Fanglin Shen, Chunxiao Jiao, Jingshu Chang, Wangqiang Xiao, Zhiqin Cai, Kang Sun, Wei Li   +8 more
doaj   +1 more source

A physics-guided modular deep learning framework for scalable flow state prediction in large-scale gas pipeline networks

Engineering Applications of Computational Fluid Mechanics
Accurate and efficient prediction of flow states in large-scale natural gas pipeline networks (NGPNs) is essential for real-time monitoring, scheduling, and control.
Xiang Dong Xue, Yong Hong Song, Dui Hong Zhang, Shu Jian Ren, Wan Lu Zhang, Yang Kang   +5 more
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Development and application of D1016 mm phased array ultrasonic internal inspection robot system for natural gas pipeline circumferential welds

管道保护
The traditional inspection methods for buried pipelines require extensive excavation and exhibit limitations in terms of precision, adaptability, and reliability.
Yi JIANG, Tao REN, Zhifeng WU, Jianlin MA, Yifan CHEN, Heng XUAN   +5 more
doaj  

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Deliverability and regional pricing in U.S. natural gas markets [PDF]

During the 1980s and early '90s, interstate natural gas markets in the United States made a transition away from the regulation that characterized the previous three decades.
Mine K. Yucel, Stephen P.A. Brown
core  

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Simulating security of supply effects of the Nabucco and South Stream projects for the European natural gas market [PDF]

Due to the increasing European import dependency, significant additional natural gas volumes will be required. In addition to the Nord Stream pipeline, the Nabucco and South Stream pipeline are projects planned for the next decade to provide further gas ...
Dieckhoener, Caroline
core  

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Market development in the United Kingdom's natural gas industry [PDF]

The author shows how, in the United Kingdom, government and industry participants have responded to challenges created by opening the natural gas industry to competition.
Juris, Andrej
core