Results 61 to 70 of about 272,480 (336)

Innovating Aircraft Repair Processes: The Role of Digitalization in Sustainability

Advanced Engineering Materials, EarlyView.
This research explores how digitalization—by storing detailed non‐destructive testing data in structured DICONDE databases and creating a standard data model of the component—innovates aviation maintenance and repair processes. Coupled with a developed state‐based simulation model, it enables data‐driven, sustainable repair strategies that reduce waste,
Johanna Aigner, Geo Jacob, Florian Raddatz, Gerko Wende   +3 more
wiley   +1 more source

Research progress of automation and digitalization in brewing process of Baijiu [PDF]

Zhongguo niangzao
Baijiu is a unique distilled spirit in China. Its complex and distinctive brewing process has given rise to different style characteristics. Against the backdrop of industrial intelligence, traditional Baijiu brewing is also confronted with both ...
YU Zihan, LI Qingliang, LU Yanxiang, LI Jianxun, ZHANG Jing, ZHOU Die, REN Xintong, FEI Wangwang, CHEN Peng
doaj   +1 more source

Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials

Advanced Engineering Materials, EarlyView.
Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai, Xinrui Sarah Niu, Zhao Qin   +2 more
wiley   +1 more source

Ambient-aware continuous care through semantic context dissemination [PDF]

, 2014
Background: The ultimate ambient-intelligent care room contains numerous sensors and devices to monitor the patient, sense and adjust the environment and support the staff.
A Mihailidis, A Valls, AK Dey, AK Dey, AL Rector, Ann Ackaert, B Hu, B Jansen, B Motik, C Chen, C Orwat, C Wroe, D Lee, D Martin, D Zhang, DL McGuinnes, E Kim, E Sirin, F Baader, F De Backere, F Manola, F Ongenae, F Ongenae, F Ongenae, F Ongenae, F Paganelli, F Siegemund, F Van den Abeele, Femke Ongenae, Filip De Turck, H Byun, H Chen, I Filali, I Horrocks, I Korhonen, J Anderston, J Ash, J Bardram, J Famaey, J Famaey, J Hong, JA Blake, JC Burgelman, Jeroen Famaey, JH Jahnke, JJ Carroll, K Fishkin, L Ma, LOBS Santos, M Baldauf, M Corporation, M Horridge, M Román, M Tentori, MA Muñoz, MB Skov, MD Rodríguez, MJ O’Connor, N Bricon-Souf, P Barnaghi, P de Toledo, P Korpipää, Piet Verhoeve, R Cornet, RL Mattson, S Kumar, S Mitchell, S Schulz, S Verstichel, S Verstichel, Saar De Zutter, Steven Latré, Stijn Verstichel, T Chin, T Gu, T Strang, T Suzuki, TH Cormen, TH Knublauch, TR Gruber, U Varshney, V Stanford, VFS Fook, W Xue, W3C Semantic Sensor NetworkIncubatorGroup, Y Punie   +85 more
core   +2 more sources

Enabling Digital Continuity in Virtual Manufacturing for Eco‐Efficiency Assessment of Lightweight Structures by Means of a Domain‐Specific Structural Mechanics Language: Requirements, Idea and Proof of Concept

Advanced Engineering Materials, EarlyView.
This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel, Andreas Schuster, Felix Schoenitz, Jean Lefèvre   +3 more
wiley   +1 more source

Optimizing human-robot handovers: the impact of adaptive transport methods

Frontiers in Robotics and AI, 2023
Humans are increasingly coming into direct physical contact with robots in the context of object handovers. The technical development of robots is progressing so that handovers can be better adapted to humans.
Marco Käppler, Ilshat Mamaev, Hosam Alagi, Thorsten Stein, Barbara Deml   +4 more
doaj   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
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, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure

, 2018
Automating precision subtasks such as debridement (removing dead or diseased tissue fragments) with Robotic Surgical Assistants (RSAs) such as the da Vinci Research Kit (dVRK) is challenging due to inherent non-linearities in cable-driven systems.
Canny, John, Fox, Roy, Goldberg, Ken, Krishnan, Sanjay, McKinley, Stephen, Seita, Daniel   +5 more
core   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
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, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source