Machine learning driven optimization of compressive strength of 3D printed bio polymer composite material.
Saved in:
| Title: | Machine learning driven optimization of compressive strength of 3D printed bio polymer composite material. |
|---|---|
| Authors: | Jayaram RS; Department of Mechanical Engineering, Amrita Vishwa Vidyapeetham, Nagercoil, Tamil Nadu, India., Saravanamuthukumar P; School of Mechanical Engineering, Engineering campus, Universiti Sains Malaysia, Nibong Tebal, Penang, Malaysia., Abdullah AB; School of Mechanical Engineering, Engineering campus, Universiti Sains Malaysia, Nibong Tebal, Penang, Malaysia., Krishnamoorthy R; School of Mechanical Engineering, Engineering campus, Universiti Sains Malaysia, Nibong Tebal, Penang, Malaysia.; Department of Sustainable Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India., Kunar S; Department of Mechanical Engineering, Aditya University, Surampalem, Andhra Pradesh, India., Yong X; School of Artificial Intelligence and Smart Manufacturing, Hechi University, Yizhou, China., Prabhakar S; School of Mechanical Engineering, Wollo University, Dessie, Ethiopia. |
| Source: | PloS one [PLoS One] 2025 Aug 28; Vol. 20 (8), pp. e0330625. Date of Electronic Publication: 2025 Aug 28 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1932-6203 |
|---|---|
| DOI: | 10.1371/journal.pone.0330625 |
