Results 81 to 90 of about 2,810,537 (380)
SICE Journal of Control, Measurement, and System Integration, 2018 Despite their high energy consumption, office thermal comfort delivery mechanisms perform poorly. The recently enacted environmental protection policies, which require a significant cutback in greenhouse gas emission, can only exacerbate this situation ...
Kizito Nkurikiyeyezu +4 more
doaj +1 more source
Digital Simulation for Buildings’ Outdoor Thermal Comfort in Urban Neighborhoods
Buildings, 2021 Buildings’ outdoor thermal comfort influences environment quality and human behavior in urban neighborhoods. The Universal Thermal Climate Index (UTCI) has been broadly applied to the study of buildings’ outdoor thermal comfort in urban areas.
Yingyi Zhang, Chang Liu
doaj +1 more source
Ontologies for FAIR Data in Additive Manufacturing: A Use Case‐Based Evaluation
Advanced Engineering Materials, EarlyView.An ontology‐based approach for generating findable, accessible, interoperable, reusable data in additive manufacturing is explored, focusing on powder bed fusion. The article highlights the benefits of enhanced data findability and digital twin enablement, while addressing challenges like data integration complexity and the need for specialized ...
Thomas Bjarsch +2 more
wiley +1 more source
Conditional Synthetic Data Generation for Personal Thermal Comfort Models [PDF]
arXiv, 2022 Personal thermal comfort models aim to predict an individual's thermal comfort response, instead of the average response of a large group. Recently, machine learning algorithms have proven to be having enormous potential as a candidate for personal thermal comfort models.
arxiv
Mechanical Metamaterials for Bioengineering: In Vitro, Wearable, and Implantable Applications
Advanced Engineering Materials, EarlyView.Mechanical metamaterials with engineered architectures exhibit properties that differ from and greatly surpass those of their constituent bulk materials. This review summarizes the applications of mechanical metamaterials in bioengineering, focusing on advances in the last 5 years.
Madihah Kazim +2 more
wiley +1 more source
Multi-task Learning for Concurrent Prediction of Thermal Comfort, Sensation, and Preference [PDF]
arXiv, 2022 Indoor thermal comfort immensely impacts the health and performance of occupants. Therefore, researchers and engineers have proposed numerous computational models to estimate thermal comfort (TC). Given the impetus toward energy efficiency, the current focus is on data-driven TC prediction solutions that leverage state-of-the-art machine learning (ML ...
arxiv
Scalable Manufacturing of Polymer Multi‐Nanofiber Twisted Yarns
Advanced Engineering Materials, EarlyView.In this research article, an alternative method for producing electrospun nanoyarns is introduced. The approach introduces a roll‐to‐roll fiber collection accessory to a parallel track electrospinning system. The fiber rolls are then spun into yarns using a spinning device.
Mohamad Keblawi +3 more
wiley +1 more source
Virtual Thermal Comfort Engineering [PDF]
SAE Technical Paper Series, 2001 Simulation of passenger compartment climatic conditions is becoming increasingly important as a complement to wind tunnel and field testing to help achieve improved thermal comfort while reducing vehicle development time and cost. Delphi Harrison Thermal Systems has collaborated with the University of California, Berkeley to develop the capability of ...
Han, T. +4 more
openaire +3 more sources
Oxide‐Based Ceramic Matrix Composites for High‐Temperature Environments: A Review
Advanced Engineering Materials, EarlyView.This review examines oxide‐based ceramic matrix composites, focusing on their processing, composition, and mechanical properties for high‐temperature applications. Key topics include oxidation resistance, failure mechanisms, and corrosion behavior, with insights into their potential use in aerospace, nuclear power, and other high‐performance industries.
Karthikeyan Ramachandran +2 more
wiley +1 more source
Hybrid data driven/thermal simulation model for comfort assessment [PDF]
arXiv, 2023 Machine learning models improve the speed and quality of physical models. However, they require a large amount of data, which is often difficult and costly to acquire. Predicting thermal comfort, for example, requires a controlled environment, with participants presenting various characteristics (age, gender, ...).
arxiv