Handbook of Sustainable Materials: Modelling, Characterization, and Optimization

ISBN-13: 9781032286327 / Angielski / Twarda / 2023 / 544 str.

Opis

Handbook of Sustainable Materials presents recent developments in sustainable materials and how these materials interact with the environment. It highlights the recent and advancements involved in proper utilization of sustainable materials, including chemical and biological approaches.

Spis treści

1. Strategic Evaluation and Selection for Energy Effective Natural Fibers as Alternative Sustainable Insulation Materials for Green Building Envelope. 2. Sustainable biodegradable and bio-based Polymers. 3. Processing of recycled & bio-based plastics. 4. Terpene-Based Polymers as Sustainable Materials
5. Sustainable Biodegradable and Bio based Materials. 6. Sustainability of Materials: Concepts, History and Future. 7. Experimental Investigation on Durability Properties of Concrete Incorporated with Fly Ash. 8. Investigation of Electrode Materials Used in Electrocoagulation Process for Wastewater Treatment. 9. Enhancing mechanical properties of adobe by use of vernacular fibers of Agave Americana and Eulaliopsis Binata for sustainable traditional mud houses of Himachal Pradesh. 10. Green synthesis of cerium oxide nanoparticles and its recent electrochemical sensing applications: a study. 11. Self-lubricating hybrid metal matrix composite towards sustainability. 12. E-Plastic waste a Sustainable Construction Material; An Indian Perspective. 13. Green synthesis of sustainable materials: A stride towards a viable future. 14. Green Materials: Synthesis & Characterization. 15. Waste Sewage Sludge Concrete as a Sustainable Building Construction Material -A Review. 16. Applications of Sustainable Materials. 17. Heusler alloys: Sustainable material for sustainable magnetic refrigeration. 18. Chemical synthesis or Phytofabrication of metal/metal oxide nanoparticles. 19. Antioxidant, bactericidal, antihemolytic and anticancer assessment activities of Al2O3, SnO2, and green synthesized Ag and CuO NPs. 20. Sustainability of Wind Turbine Blade: Instantaneous Real Time Prediction of Its Failure using Machine Learning and Solution based on Materials and Design. 21. A Self-sustained Machine Learning Model to Predict the In-flight Mechanical Properties of a Rocket Nozzle by Inputting Material Properties and Environmental Conditions.