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CLADDING · BIMETAL PRODUCT · BIMETAL PRESSURE VESSEL TECHNICAL STUDY

Automatic Cladding Process Research for Guide Shoe Wear-Resistant Layer

Literature Overview

This study investigates the automated cladding process for applying wear-resistant overlay layers on guide shoes, which are critical components in heavy machinery such as bridge cranes, gantry cranes, and large-scale mining equipment. Guide shoes experience severe sliding wear under high contact stress and cyclic loading, leading to frequent replacement and significant downtime. The research focuses on optimizing the automatic multi-pass welding process to achieve uniform overlay thickness, high bond strength, and extended service life.

Process Design and Optimization

The automated cladding process employs a multi-layer, multi-pass welding strategy using a submerged arc welding (SAW) or gas metal arc welding (GMAW) system with a programmed torch trajectory. The overlay material is selected based on the specific wear conditions encountered in service, with options including high-carbon martensitic steels, chromium carbide-based alloys, or nickel-based composite materials. The process design follows a systematic approach:

Design Parameter Typical Range Optimization Target
Base material Q345B or 16Mn Adequate preheat and post-weld stress relief
Overlay material D2 tool steel, Stellite 6, or custom Fe-Cr-C alloy Hardness > 50 HRC, wear rate < 50 mg/km
Preheat temperature 150–250°C Prevent cold cracking in HAZ
Interpass temperature 150–300°C Control thermal input and residual stress
Number of passes 3–5 layers Achieve target thickness of 3–8 mm
Travel speed 150–300 mm/min Balance deposition rate and dilution
Heat input 1.5–3.0 kJ/mm Minimize dilution while ensuring bond
Torch oscillation 0–10 mm Ensure uniform width and thickness

The study demonstrates that the first pass is critical for ensuring metallurgical bond between the base metal and the overlay layer. Insufficient heat input in the first pass leads to lack of fusion defects, while excessive heat input causes excessive dilution, reducing the hardness of the overlay layer. The optimal first-pass heat input is determined through a series of coupon tests, with a target dilution ratio of 20–30% for achieving the desired hardness profile.

Defect Analysis and Countermeasures

The research identifies several common defects observed in the automated cladding of guide shoes:

Defect Type Root Cause Countermeasure
Lack of fusion Insufficient first-pass heat input; surface contamination Increase first-pass heat input; clean base surface with wire brush or grinding
Cracking High carbon equivalent; excessive interpass temperature Use low-hydrogen filler; control interpass temperature below 250°C
Porosity Flux contamination; inadequate shielding gas flow Use dry flux; verify gas flow rate and nozzle condition
Uneven thickness Torch tracking error; surface irregularity Implement laser tracking system; pre-machining base surface
Hardness variation Dilution variation across passes Monitor and adjust travel speed; use consistent filler wire diameter

The study emphasizes the importance of surface preparation prior to cladding. The base surface should be machined to a flatness tolerance of ±0.5 mm over the cladding area, and any existing surface defects such as cracks, pits, or scale should be removed by grinding or shot blasting. Surface roughness should be controlled to Ra 3.2–6.3 μm to ensure good metallurgical bond without excessive arc instability.

Quality Control and Inspection

The quality control plan for automated guide shoe cladding includes several stages:

  1. Pre-weld inspection: Visual examination of base surface, dimensional verification, and material certification review.
  2. In-process monitoring: Real-time monitoring of welding parameters (current, voltage, travel speed, gas flow) with automated data logging and deviation alarms.
  3. Post-weld inspection: Visual examination for surface defects, ultrasonic testing (UT) for lack of fusion and cracks, and hardness testing at multiple locations across the overlay.
  4. Final acceptance: Dimensional verification of overlay thickness, wear test coupon evaluation, and documentation of all inspection results.

The hardness requirement for the overlay layer is typically ≥ 50 HRC for high-carbon martensitic alloys or ≥ 40 HRC for nickel-based alloys, with a hardness gradient of less than 10 HRC across the overlay thickness. The bond strength between the overlay and base metal should be verified by a bond test, with a minimum requirement of 400 MPa for shear bond strength.

Engineering Practice Case

A case study from a bridge crane manufacturer demonstrated the effectiveness of the optimized automated cladding process. The guide shoes, originally made of Q345B steel with no overlay, had an average service life of 6 months before requiring replacement due to wear. After applying a 5 mm thick high-carbon martensitic overlay using the optimized automated process, the service life was extended to 24 months, representing a fourfold improvement. The cost of the cladding process, including materials, labor, and equipment, was approximately 15% of the cost of replacing the entire guide shoe, making the approach highly economical.

The case also highlighted the importance of post-weld heat treatment. The overlay layer, as deposited, exhibited high hardness but poor toughness due to the martensitic microstructure. A tempering treatment at 550°C for 2 hours reduced the hardness to 45–48 HRC while significantly improving the toughness and reducing residual stress. This tempering step was essential for preventing cracking during service, particularly at the overlay-base metal interface.

Summary

This study provides a comprehensive framework for the automated cladding of wear-resistant layers on guide shoes, covering process design, defect prevention, quality control, and engineering validation. The key insights include the critical role of first-pass heat input in ensuring bond quality, the importance of surface preparation, and the necessity of post-weld tempering to balance hardness and toughness. The case study demonstrates the significant economic and operational benefits of adopting automated cladding for guide shoe repair, with service life extensions of up to four times and cost savings of approximately 85% compared to component replacement. Engineers working on similar applications should pay particular attention to process parameter optimization, in-process monitoring, and post-weld heat treatment to achieve reliable and durable overlay layers.