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CLADDING · BIMETAL PRODUCT · BIMETAL PRESSURE VESSEL TECHNICAL STUDY

Fully Automatic MIG Surfacing Remanufacturing System Based on Robotic Control

Literature Overview

This 2005 paper published in the Journal of Central South University by Zhu Sheng, Guo Yingchun, and Yang Pei from the National Key Laboratory for Remanufacturing presents a comprehensive robotic system for fully automatic Metal Inert Gas (MIG) surfacing welding. Funded by multiple National Natural Science Foundation projects (50075086, 50235030), the National Basic Research Foundation (413270103), and the Ministry of Education Outstanding Teachers Project (2000476), this research represents a significant contribution to the field of surface engineering and remanufacturing technology.

Core Technical Content

The paper describes a complete robotic welding system designed for the surfacing of wear-resistant and corrosion-resistant overlay layers on industrial components. The system integrates robotic motion control, welding parameter optimization, and real-time process monitoring to achieve consistent overlay quality across complex geometries.

System Architecture

The robotic surfacing system comprises the following key components:

Component Specification Function
Industrial robot 6-axis, 200-500 kg payload Multi-axis motion and positioning
MIG welding power supply 300-800 A, pulse-capable Arc generation and energy delivery
Wire feed system Constant velocity, 0-30 m/min Filler metal delivery
Torch positioning 6-axis end-effector Torch orientation control
Real-time monitoring Arc voltage/current sensors Process stability feedback
Path planning software CAD/CAM integrated Weld trajectory generation
Cooling system Water or gas cooling Torch and component cooling

Overlay Layer Design and Selection

The research addresses the selection of overlay materials for different service conditions:

The robotic system enables multi-pass surfacing with precise control of layer thickness, typically achieving 1-3 mm per pass and total overlay thicknesses of 5-25 mm depending on the application.

Process Optimization

The authors conducted systematic optimization of welding parameters for each overlay material:

  1. Current selection: Higher currents (400-600 A) for thick single-pass deposits; lower currents (200-350 A) for multiple thin passes with reduced dilution.
  2. Travel speed: 100-300 mm/min depending on wire diameter and desired deposition rate.
  3. Stand-off distance: Maintained at 10-15 mm for stable arc and consistent penetration.
  4. Travel angle: 5-10° from vertical, forward direction for better wetting and reduced spatter.
  5. Interpass temperature: Controlled below 200°C for stainless steel overlays; below 150°C for nickel-based overlays to prevent sensitization.

Quality Assurance and Inspection

The paper emphasizes the importance of quality control in robotic surfacing operations:

Engineering Practice Integration

The robotic surfacing system described in this research has been successfully applied to:

The key advantage of robotic surfacing over manual welding is the repeatability and consistency of the process. Once the welding parameters and path are programmed, the system can produce identical overlay layers across multiple components with minimal operator intervention, reducing quality variation and improving production throughput.

Study Insights

This research highlights the transformative potential of robotic automation in surface engineering. The integration of CAD/CAM path planning with real-time process monitoring creates a closed-loop manufacturing system that can adapt to varying component geometries and material conditions. For engineers involved in cladding and overlay work, the robotic approach offers a pathway to scaling up production while maintaining the quality levels required for critical applications.

However, the successful implementation of robotic surfacing requires significant investment in equipment, programming expertise, and quality assurance infrastructure. The initial setup cost is substantially higher than manual welding, but the long-term benefits in terms of labor savings, consistency, and throughput make it economically viable for high-volume production. The challenge lies in the programming of complex geometries, which requires skilled operators and sophisticated software tools.