Overview
ISO/TR 23247-101:2026 is an ISO Technical Report focused on the application of digital twins in the management of robotic multilayer and multipass gas-shielded metal arc welding processes within manufacturing environments. This report is part of the broader ISO 23247 series, which addresses digital twin frameworks for manufacturing. The document provides a detailed use case for implementing a digital twin to monitor, control, and optimize automated welding processes, targeting improved process adaptability, quality, and operational efficiency.
A digital twin in this context refers to a virtual representation of physical welding processes, equipment, and workpieces, synchronizing real-time data and analysis to support advanced automation, predictive maintenance, and intelligent process optimization.
Key Topics
-
Robotic Multilayer and Multipass Welding
This standard highlights the complexities of multilayer and multipass gas-shielded metal arc welding, a process critical for the fabrication of large, thick metal structures used in industries such as construction, heavy machinery, shipbuilding, and aerospace.
-
Digital Twin Integration
The integration of digital twin technology offers virtual simulation, real-time monitoring, and dynamic adjustment of welding parameters. This ensures higher quality control, reduced defects, and increased flexibility for customized product manufacturing.
-
Process Monitoring and Early Warning
Continuous real-time monitoring and early warning mechanisms are enabled for key process parameters-such as current, voltage, travel speed, and molten pool condition-to improve quality and reduce manual oversight.
-
Data-Driven Optimization
The digital twin system enables optimization of both the process plan and welding parameters through data analysis, simulation, and AI-supported feedback loops. This leads to enhanced adaptability and minimized reliance on operator experience.
-
Predictive Maintenance and Training
By utilizing the operational data from welding equipment, the digital twin supports predictive maintenance strategies, reducing unplanned downtime. The virtual environment is also used for operator and engineer training, supporting skills development and scenario testing.
Applications
-
Smart Manufacturing
The digital twin framework outlined in ISO/TR 23247-101:2026 enables manufacturers to transition towards intelligent, data-driven production processes. It supports end-to-end quality control, efficient resource planning, and agile adaptation to customized manufacturing demands.
-
Welding Process Improvement
Applied in the management of thick-plate welding for large structures-such as tunnel boring machines-the digital twin enables comprehensive documentation, from workpiece selection and process planning to automated inspection, parameter adjustment, and final straightening or repair.
-
Operational Efficiency
By leveraging synchronized real-time data and AI analysis, manufacturers can minimize manual intervention, reduce operational errors, improve weld quality consistency, and optimize energy and material consumption. Predictive and preventive maintenance further ensures higher equipment utilization and reliability.
-
Compliance and Documentation
The framework supports digital record-keeping and feedback loops. Comprehensive data collected during the welding process is used for quality analysis, continuous improvement, and compliance with manufacturing standards.
Related Standards
-
ISO 23247-1: Automation systems and integration - Digital twin framework for manufacturing - Part 1: Overview and general principles
Provides fundamental principles and architecture for digital twin implementation in manufacturing.
-
ISO 23247 Series
All parts of the ISO 23247 series address implementation aspects, including communication, data exchange, and the integration of digital twins for various manufacturing applications.
-
Relevant Process and Data Standards
Integration with standards supporting industrial data management, automation interfaces (e.g., OPC-UA), and equipment interoperability is recommended for comprehensive digital twin deployment.
By referencing ISO/TR 23247-101:2026, manufacturers can systematically adopt digital twins for advanced welding process management, ensuring consistent quality, enhanced automation, and significant operational gains in smart manufacturing environments.