Development of Polyamide Based Blend and Their Nanocomposites – A Review
- DOI
- 10.2991/978-94-6463-136-4_29How to use a DOI?
- Keywords
- Polymer blends and alloys; Nanocomposites; Compatibilizaer; Nanofillers
- Abstract
Polymer blend nanocomposites have been recognized as a promising path to developing a different material with high-capacity that comprises benefits of hybrid polymers with advantages of composites made of polymers. The use of nanofillers to enhance certain properties (e.g., mechanical, chemical, thermal, etc.) of a polymer mixture, as well as to stabilize and modify the blend morphology, has sparked a lot of interest in nanocomposites with multiphase matrices. In this review, recent breakthroughs in polyamide (PA), acrylonitrile–butadiene–styrene (ABS), and polypropylene (PP) blend-based nanocomposites are studied. Polyamide 6 (PA6) (rich) blend-based nanocomposites made by blending various thermoplastics with nanofillers are highlighted. The production and characteristics of nanocomposites containing nanofillers made from a PA blend are described. A survey revealed that the volume and size percentage of the nano-filling materials affect wear resistance and friction coefficient. Multi-functional fillers can also be used to create composite materials with high performance that cannot be obtained with a single filler.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Suyog B. Rayjadhav AU - Pravin R. Kubade PY - 2023 DA - 2023/05/01 TI - Development of Polyamide Based Blend and Their Nanocomposites – A Review BT - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022) PB - Atlantis Press SP - 340 EP - 354 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-136-4_29 DO - 10.2991/978-94-6463-136-4_29 ID - Rayjadhav2023 ER -