AToMech1-2023 Supplement : International Conference on Advanced Topics in Mechanics of Materials, Structures and Construction ; March 12-14, 2023, College of Engineering, Prince MohammadBin Fahd University, Al Khobar, Saudi Arabia

AToMech1-2023 Supplement : International Conference on Advanced Topics in Mechanics of Materials, Structures and Construction ; March 12-14, 2023, College of Engineering, Prince MohammadBin Fahd University, Al Khobar, Saudi Arabia /

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Bibliographic Details
Corporate Author: ProQuest (Firm)
Other Authors: Carrera, Erasmo (Editor)
Format: Electronic eBook
Language:English
Published: Millersville, PA : Materials Research Forum LLC, [2023]
Series:Materials research foundations ; v. 36.
Subjects:
Materials > Mechanical properties > Congresses.
Materials > Congresses.
Online Access:Connect to this title online (unlimited simultaneous users allowed; 325 uses per year)
Table of Contents:
  • Intro
  • front matter
  • Table of Contents
  • Preface
  • Committees
  • 1
  • Hand gesture control accuracy through increased epoch and batch size
  • Introduction
  • Methodology
  • Results
  • Conclusion
  • References
  • 2
  • Prediction of tool failure in metal hot extrusion process using artificial neural networks
  • Introduction
  • Die Failure Mechanisms
  • Artificial Neural Network Model
  • Results and discussion
  • Conclusions
  • Acknowledgements
  • References
  • 3
  • Ionanofluids: A review on its properties and thermal applications
  • Introduction
  • Preparation methods for Ionanofluids
  • Types of Ionanofluids
  • Properties of Ionanofluids
  • Thermal conductivity of Ionanofluids
  • Effect of volume on thermal conductivity of Ionanofluids
  • Effect of temperature on thermal conductivity of Ionanofluids
  • Models to predict the thermal conductivity of Ionanofluids
  • Viscosity of Ionanofluids
  • Density of Ionanofluids
  • Heat capacity of Ionanofluids
  • Thermal applications of Ionanofluids
  • Future scope of research studies
  • Conclusion
  • References
  • 4
  • Characterization of sustainable concrete made from wastewater bottle caps using a machine learning and RSM-CCD: towards performance and optimization
  • Introduction
  • Methodology
  • Results and Discussion
  • Conclusion
  • Conflict of Interest
  • References
  • 5
  • Pool boiling heat transfer characteristics of using nanofluids
  • Effect of nanofluids thermal conductivity in pool boiling
  • Effect of nanofluids viscosity in pool boiling
  • Effect of nanofluids density in pool boiling
  • Effect of nanofluids specific heat in pool boiling
  • Effect of surface roughness in pool boiling
  • Effect of surface tension in pool boiling
  • Experimental studies on nanofluids pool boiling
  • Conclusions
  • References
  • 6
  • Statistical analysis of fatigue behavior in additively manufactured steels
  • 1. Introduction
  • 2. Methodology
  • 2.1 Factors of interest
  • 2.2 Statistical Analysis
  • 3. Results
  • 4. Conclusions
  • Acknowledgements
  • References
  • back matter
  • Keyword Index

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