The Role of Smart Materials, Sustainable Engineering Practices, and IoT Integration in Advancing Engineering Solutions

Authors

  • Sutresna Juhara Universitas Islam Syekh Yusuf Author
  • Saripuddin M Saripuddin M Universitas Islam Makassar Author
  • Rud Nokeo Ritsumeikan University Author
  • Ruskardi Ruskardi Politeknik Negeri Pontianak Author
  • Benny Pasambuna Politeknik Amamapare Timika Papua Tengah Author

DOI:

https://doi.org/10.59613/3erdzs77

Abstract

This study explores the role of smart materials, sustainable engineering practices, and Internet of Things (IoT) integration in advancing modern engineering solutions. The primary objective is to qualitatively analyze the literature on how these innovative components contribute to the development of efficient, sustainable, and intelligent engineering systems. The research employs a qualitative literature review methodology, examining a broad range of academic articles, technical reports, and case studies related to smart materials, sustainable engineering, and IoT applications.

The literature review methodology involves systematically collecting and analyzing relevant scholarly sources to identify key trends and insights. The study categorizes the literature into major themes, such as the properties and applications of smart materials, the principles and benefits of sustainable engineering, and the impact of IoT integration on engineering processes. By synthesizing findings from diverse sources, the research provides a comprehensive overview of the advancements and challenges associated with these technologies.

The findings reveal that smart materials, such as shape-memory alloys, piezoelectric materials, and self-healing composites, offer significant potential for enhancing the functionality and durability of engineering systems. Sustainable engineering practices, including the use of renewable materials and energy-efficient designs, are critical for reducing environmental impact and promoting long-term sustainability. IoT integration enables real-time monitoring, data-driven decision-making, and improved system efficiency, thus transforming traditional engineering approaches.

Downloads

Published

2024-07-27