Author
Listed:
- Isabel Lado-Touriño
(Department of Engineering, School of Architecture, Engineering, Science and Computing, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain)
- Rosario G. Merodio-Perea
(Online Department, Creative Campus, Universidad Europea de Madrid, 28006 Madrid, Spain)
Abstract
Polylactic acid (PLA) and poly(ethylene adipate) (PEA) are biodegradable, biobased polymers renowned for their versatility and environmental advantages. This study explores the potential of PLA-PEA blends as green binders in the metal injection molding (MIM) process, a crucial manufacturing technique for producing complex metal components. Substituting conventional, environmentally harmful binders with these blends offers a sustainable strategy to reduce the environmental footprint of MIM. Achieving compatibility between binder components is essential to ensure optimal molding performance in this application. To evaluate this compatibility, molecular dynamics (MD) simulations were employed to analyze the interaction and miscibility of both polymers. Simulations across various blend compositions and temperatures consistently yielded negative Flory–Huggins interaction parameters, demonstrating strong miscibility between PLA and PEA. Notably, blends with lower PEA content exhibited the most favorable compatibility. Radial distribution function analyses further confirmed these results, revealing enhanced miscibility with lower-molecular-weight PEA. This study underscores the potential of PLA-PEA blends as sustainable alternative binders in MIM, advancing the use of biobased materials in energy-efficient and eco-friendly industrial processes. By integrating PLA into MIM, this research contributes to the development of greener engineering practices and highlights the viability of sustainable material solutions for industrial applications.
Suggested Citation
Isabel Lado-Touriño & Rosario G. Merodio-Perea, 2025.
"Molecular Dynamics Simulations of Sustainable Green Binders for Metal Injection Molding,"
Sustainability, MDPI, vol. 17(5), pages 1-16, March.
Handle:
RePEc:gam:jsusta:v:17:y:2025:i:5:p:2263-:d:1605966
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:5:p:2263-:d:1605966. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.