Results 181 to 190 of about 111,808 (361)

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Strengthening Mechanism in Hot-rolled High Strength Sheet Steel with Increase in Tensile Strength Induced by Bake Hardening

, 2003
Shinjiro Kaneko, Saiji Matsuoka, Kei Sakata, Toru Hoshi   +3 more
openalex   +2 more sources

Versatile Standing Wave Generation Between Arbitrarily Oriented Surfaces Using Acoustic Metasurface Deflectors and Retroreflectors

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel method for generating versatile standing wave fields using an acoustic metasurface deflector and retroreflector is introduced. By overcoming traditional constraints of parallel surfaces, the approach enables customizable wave patterns and enhances applications in particle manipulation.
Chadi Ellouzi, Farhood Aghdasi, Ali Zabihi, Amir K. Miri, Chen Shen   +4 more
wiley   +1 more source

Implementing a novel TOPSIS-sine cosine algorithm-based hybrid optimization in machining medium-hardened steel. [PDF]

Sci Rep
Kumar R, Rafighi M, İynen O, Reddy MPK, Zade S, Özdemir M, Pandey A, Singh R.   +7 more
europepmc   +1 more source

Local Work-Hardening and Lüders Deformation Invariance in TRIP-Aided Medium-Mn High-Strength Steel: Significant TRIP Effect Changes in the Warm Temperature Range up to 200 ℃

Takashi Matsuno, Yuta Yamazaki, Seiya MATSUBARA, Jin EGUCHI, Kazuyuki Shimizu, Motomichi Koyama, Yoshitaka Okitsu, Toshihiro Tsuchiyama   +7 more
openalex   +2 more sources

Distortions and Residual Stresses of Gears Caused by Hardening : 2nd Report, Through-Hardening of Gear Made of S45C Carbon Steel

, 1977
Hiroshige FUJIO, Toshio Aida, Yuji MASUMOTO   +2 more
openalex   +2 more sources

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Intercomparison of Indexable Cutting Inserts' Wear Progress and Chip Formation During Machining Hardened Steel AISI 4337 and Austenitic Stainless Steel AISI 316 L. [PDF]

Materials (Basel)
Šramhauser K, Kraus P, Špalek F, Černý P, Ufitikirezi JDM, Zoubek T, Strob M, Kononets Y, Kříž P, Vochozka V.   +9 more
europepmc   +1 more source

ON THE TEMPERING OF CHROMIUM STEELS AND THE QUENCH-HARDENING PROPERTY OF IRON-CHROMIUM ALLOYS

, 1929
Tokujiro Matsushita, Kiyoshi Nagasawa
openalex   +2 more sources

On the Influence of Surface Hardening Treatments on Microstructure Evolution and Residual Stress in Microalloyed Medium Carbon Steel

, 2020
Andreas Fischer, Berthold Scholtes, Thomas Niendorf   +2 more
openalex   +1 more source