Results 81 to 90 of about 142,245 (260)
The wettability of aluminum droplets (Al) on different copper substrates (Cu), where liquid Al spreads on solid Cu surfaces to form a liquid–solid interface, is studied numerically and experimentally. The experimental and numerical results show good agreement in the fast‐spreading regime.
Shan Lyu +8 more
wiley +1 more source
Flexible manufacturing workshop mechanical processing and product scheduling algorithm based on MES
In modern manufacturing workshops, there are path conflicts and collisions between automated guided vehicles (AGVs), which affect the efficient scheduling efficiency of the workshop.
Ma Biao, Zhang Yanfang
doaj +1 more source
The subject of this work is the development of a corrosion‐protective coating on steel sheets for form hardening. Rapid heating in an extreme high vacuum (XHV)‐adequate atmosphere is a useful method to prevent oxidation during alloying of 22MnB5 and aluminum to obtain a metallurgical bonding.
Lorenz Albracht +5 more
wiley +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Warehouse Mobile Robot Path Planning Performance Sensitivity to the Neighbor Radius Parameter
Many RRT*-based sampling path planning algorithms consider neighboring nodes around a newly added node. The neighbor radius parameter rnear determines which nodes are included.
Jihong Jeong, Jin-Woo Jung
doaj +1 more source
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley +1 more source
Ship path planning and tracking based on rapidly exploring random tree star and convex optimization
ObjectivesTo address the challenges of path planning and tracking for underactuated ships in obstacle-filled waters, this paper proposes a ship path planning and tracking algorithm based on the rapidly exploring random tree (RRT*) and convex optimization.
Chang ZHOU +4 more
doaj +1 more source
Reinforcement Learning Based Routing in Networks: Review and Classification of Approaches
Reinforcement learning (RL), which is a class of machine learning, provides a framework by which a system can learn from its previous interactions with its environment to efficiently select its actions in the future.
Zoubir Mammeri
doaj +1 more source
Identified through the use of statistical design of experiments and metallographic investigation, this study exposes the stochastic origins of intergranular cracks in blown powder laser beam directed energy deposition additive manufacturing of pure molybdenum. It further demonstrates a successful crack mitigation approach with direct correlation to the
Nathaniel J. Lies +2 more
wiley +1 more source
This paper provides a method for optimal shielding design and path planning of a long-haul optical fiber cable between two locations on the Earth's surface.
Zengfu Wang +3 more
doaj +1 more source

