Digital Repair Chains in the Automotive Sector: Rapid Repair with 3D Technology

This paper presents the prototypical development and demonstration of a Rapid Repair Workflow designed to address challenges faced by manufacturing industries, particularly medium-sized automotive suppliers, in sourcing and replacing obsolete or unavailable machine components. The workflow integrates 3D scanning, digital repair, and additive manufacturing (3D printing) technologies to rapidly recreate damaged parts, reducing lead times, storage costs, and downtime. We outline the process stages – initial assessment, scanning, digital file preparation, additive manufacturing, and quality assurance – highlighting the tools and techniques employed. The prototype was successfully showcased at a trade fair, receiving positive feedback for its precision, ease of use, and potential for industrial application. Key challenges such as intellectual property issues, technical limitations of scanning and CAD tools, and quality assurance requirements are discussed. Future work will focus on automation, AI-driven damage analysis, expanded VR functionalities, and broader adoption of additive manufacturing methods. Overall, the Rapid Repair Workflow demonstrates significant potential to enhance maintenance practices and operational efficiency across industries.

Publication Details

Journal
European Society for Socially Embedded Technologies (EUSSETDL)
Published
2025-01-01
DOI
https://doi.org/10.48340/ct2025-1016
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital Repair Chains in the Automotive Sector: Rapid Repair with 3D Technology

European Society for Socially Embedded Technologies (EUSSETDL)
Additive Manufacturing Materials and Processes
article

Digital Repair Chains in the Automotive Sector: Rapid Repair with 3D Technology

article en

Abstract

This paper presents the prototypical development and demonstration of a Rapid Repair Workflow designed to address challenges faced by manufacturing industries, particularly medium-sized automotive suppliers, in sourcing and replacing obsolete or unavailable machine components. The workflow integrates 3D scanning, digital repair, and additive manufacturing (3D printing) technologies to rapidly recreate damaged parts, reducing lead times, storage costs, and downtime. We outline the process stages – initial assessment, scanning, digital file preparation, additive manufacturing, and quality assurance – highlighting the tools and techniques employed. The prototype was successfully showcased at a trade fair, receiving positive feedback for its precision, ease of use, and potential for industrial application. Key challenges such as intellectual property issues, technical limitations of scanning and CAD tools, and quality assurance requirements are discussed. Future work will focus on automation, AI-driven damage analysis, expanded VR functionalities, and broader adoption of additive manufacturing methods. Overall, the Rapid Repair Workflow demonstrates significant potential to enhance maintenance practices and operational efficiency across industries.

European Society for Socially Embedded Technologies (EUSSETDL)
Industry, innovation and infrastructure
Openalex Percentile: Top 54%
Additive Manufacturing Materials and Processes
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.

Digital Repair Chains in the Automotive Sector: Rapid Repair with 3D Technology · European Society for Socially Embedded Technologies (EUSSETDL) (2025) | TGRS Research Map | TGRS