Digital twin–driven design and testing of laser shock processed aluminum–graphene composites for spacecraft docking tribology

The study presents the laser shock processed (LSP) aluminum-graphene composite development and performance evaluation as a solution for spacecraft docking systems that require high tribological reliability under vacuum and extreme thermal conditions. Hot extrusion produced a 0.02 wt% single-layer graphene composite that received LSP treatment using 3J energy with 70% pulse coverage degree. Post-LSP treatment showed both good graphene distribution across the material and refined grains throughout the surface. The treatment of LSP raised the Vickers hardness levels of the composite by 28% above the untreated sample's outcome. The wear rate diminished by 42% under 60 N force and 0.15 m/s sliding speed in vacuum conditions. An improvement of 33% occurred in the sliding performance after LSP treatment because the COF reduced from 0.30 to 0.20. The constructed Python-based digital twin model employed multi-variable regression analysis for 30 experimental trials yielding an R² value of 0.91 and an RMSE value of 0.026 mm³/N·m. The predictive model results matched up with experimental data points within 5-8 percent ranges. Surface integrity along with wear resistance in aluminum alloys improves substantially through the application of LSP with graphene reinforcement which makes them appealing for space docking system mechanical components.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2025-05-27
DOI
https://doi.org/10.1371/journal.pone.0324501
Citations
1
Primary Topic
Diamond and Carbon-based Materials Research
Type
article
Field-Weighted Citation Impact
0.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital twin–driven design and testing of laser shock processed aluminum–graphene composites for spacecraft docking tribology

Pratik Shukla, Praveen Kumar Kanti, Prabhu Paramasivam, Hosamane Guruswamy Prashantha Kumar et al.
1 citations
PLoS ONE
Diamond and Carbon-based Materials Research
0.52
article

Digital twin–driven design and testing of laser shock processed aluminum–graphene composites for spacecraft docking tribology

Pratik Shukla, Praveen Kumar Kanti, Prabhu Paramasivam, Hosamane Guruswamy Prashantha Kumar, Leliso Hobicho Dabelo, Dinesh Dishana
article en
1 citations

Abstract

The study presents the laser shock processed (LSP) aluminum-graphene composite development and performance evaluation as a solution for spacecraft docking systems that require high tribological reliability under vacuum and extreme thermal conditions. Hot extrusion produced a 0.02 wt% single-layer graphene composite that received LSP treatment using 3J energy with 70% pulse coverage degree. Post-LSP treatment showed both good graphene distribution across the material and refined grains throughout the surface. The treatment of LSP raised the Vickers hardness levels of the composite by 28% above the untreated sample's outcome. The wear rate diminished by 42% under 60 N force and 0.15 m/s sliding speed in vacuum conditions. An improvement of 33% occurred in the sliding performance after LSP treatment because the COF reduced from 0.30 to 0.20. The constructed Python-based digital twin model employed multi-variable regression analysis for 30 experimental trials yielding an R² value of 0.91 and an RMSE value of 0.026 mm³/N·m. The predictive model results matched up with experimental data points within 5-8 percent ranges. Surface integrity along with wear resistance in aluminum alloys improves substantially through the application of LSP with graphene reinforcement which makes them appealing for space docking system mechanical components.

PLoS ONEVol. 20(5)
Chandigarh University (IN), University of Southern California (US), Ethiopian Civil Service University (ET), Mattu University, Coventry University (GB), Saveetha University (IN), Dr. Hari Singh Gour University (IN)
Affordable and clean energy
Openalex Percentile: Top 38%
Diamond and Carbon-based Materials Research
0.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.