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STEEL PIPE · FITTING · WELDING TECHNICAL STUDY

Plasma Surfacing Repair Method for Conveyor Scraper Components

Literature Overview

This 2020 paper by Fang Min, Yang Hongfei, Ju Chen, and Yuan Changsuo, published in Coal Mine Machinery (煤矿机械), presents a comprehensive approach to repairing worn conveyor scrapers using plasma surfacing technology. The research combines three-dimensional surface reconstruction with plasma surfacing process planning, addressing the practical challenge of restoring irregularly worn scraper surfaces to functional condition. The work was conducted by Shendong Coal Group and Xi'an Fluente Heat Treatment Company.

Problem Statement and Engineering Challenge

Mining conveyor scrapers operate under severe wear conditions due to continuous friction with hard rock and mineral materials. The resulting wear surface presents unique challenges for repair:

Challenge Description Impact on Repair
Irregular wear profile Non-uniform material removal Difficult path planning
Deep localized wear Concentrated material loss High deposition requirement
Surface roughness variation Uneven topography Poor bonding if not addressed
Geometric distortion Dimensional changes Alignment issues
Material degradation Work hardening, contamination Base preparation complexity

The irregularity of the wear surface is the primary challenge, as conventional repair methods (grinding, machining) cannot efficiently restore the original geometry.

Three-Dimensional Surface Reconstruction Methodology

The research introduces a systematic approach to characterizing the worn surface:

Data Acquisition Process

  1. Line laser scanning: High-resolution 3D scanning of the worn surface using a line laser scanner
  2. Point cloud generation: Conversion of scan data into a three-dimensional point cloud representation
  3. Data preprocessing: Removal of noise, outlier filtering, and coordinate system alignment
  4. Surface reconstruction: Mathematical modeling of the worn surface geometry

Data Preprocessing Steps

The following preprocessing steps are applied to the raw scan data:

Step Method Purpose
Noise removal Statistical filtering Eliminate measurement artifacts
Outlier detection Distance-based algorithm Remove spurious points
Coordinate alignment ICP (Iterative Closest Point) Align scan data to nominal geometry
Surface smoothing Gaussian filtering Reduce local noise while preserving features
Wear depth calculation Nominal vs. actual comparison Quantify material loss distribution

Three-Dimensional Reconstruction Output

The reconstructed surface model provides:

Plasma Surfacing Process Planning

Surfacing Path Planning Strategy

Based on the three-dimensional reconstruction data, the surfacing path is planned using the following approach:

  1. Zonal classification: Division of the repair area into zones based on wear depth
  2. Pass sequencing: Determination of optimal pass order for each zone
  3. Overlap optimization: Setting appropriate bead overlap to ensure complete coverage
  4. Heat input management: Balancing deposition rate with thermal control

Plasma Surfacing Parameters

Parameter Value Rationale
Arc current 180–250 A Adequate heat input for deposition
Travel speed 150–300 mm/min Balances deposition rate with quality
Wire feed rate 4–8 m/min Matches arc current for stable arc
Shielding gas Argon + 5% CO₂ Adequate protection with slight penetration enhancement
Nozzle distance 8–12 mm Optimal arc stability and shielding
Wire diameter 1.6 mm Standard consumable size

Multi-Pass Surfacing Strategy

For areas with significant wear depth, a multi-pass strategy is employed:

Pass Purpose Parameters
Pass 1 Base preparation and bonding Lower current, slower speed
Pass 2 Bulk deposition Standard parameters
Pass 3 Surface finishing Higher speed, lower current

Quality Assessment and Results

Bonding Interface Evaluation

The research reports strong bonding between the base metal and surfacing layer:

Surfacing Layer Quality

Quality Parameter Result Acceptance Criteria
Surface finish Smooth, uniform Ra ≤ 6.3 μm
Porosity None observed Zero porosity
Cracking None observed Zero cracks
Dilution Moderate < 30%
Hardness 350–450 HV ≥ 300 HV
Wear resistance Satisfactory ≥ 1.5× base material

Wear Performance Verification

The repaired scrapers demonstrate:

Engineering Implementation Considerations

Equipment Requirements

Equipment Specification
Plasma surfacing machine Robotic or semi-automatic
Line laser scanner Resolution ≤ 0.1 mm
Data processing software 3D reconstruction capability
Post-surfacing finishing Grinding or machining equipment
Inspection equipment Hardness tester, PT/MT equipment

Implementation Workflow

The complete repair process follows this workflow:

  1. Disassembly and cleaning: Remove scraper from conveyor and clean surface
  2. Baseline inspection: Document current condition and measure wear depth
  3. 3D scanning: Acquire surface geometry data
  4. Data processing: Reconstruct surface and plan repair path
  5. Base preparation: Grind surface to remove loose material and contamination
  6. Preheating: Apply controlled preheat to reduce cracking risk
  7. Surfacing deposition: Execute planned surfacing passes
  8. Post-heating: Controlled cooling to minimize residual stress
  9. Finishing: Machine or grind surface to required geometry
  10. Quality verification: Inspect and test repaired surface
  11. Reinstallation: Return scraper to conveyor service

Cost-Benefit Analysis

The economic justification for plasma surfacing repair versus replacement includes:

Factor Repair Replacement
Direct cost 20–40% of new component 100%
Downtime 1–2 days 1–4 weeks (ordering + delivery)
Environmental impact Minimal Full manufacturing footprint
Geometry accuracy Depends on planning Factory precision
Service life 70–90% of new 100%

Study Insights and Practical Implications

This research demonstrates the successful integration of advanced measurement technology with conventional surfacing processes to solve a practical industrial problem. The three-dimensional reconstruction approach provides a systematic method for handling irregular wear surfaces that cannot be addressed by conventional repair methods.

The combination of line laser scanning with plasma surfacing represents a paradigm shift in component repair philosophy, moving from simple material replacement to precision geometry restoration. This approach is particularly valuable for:

The research also highlights the importance of systematic process planning in surfacing applications. The integration of measurement data with process parameters ensures that the repair is optimized for the specific wear condition encountered.

Summary

This study presents a comprehensive methodology for repairing worn conveyor scrapers using plasma surfacing technology guided by three-dimensional surface reconstruction. The successful combination of advanced measurement technology with plasma surfacing provides a practical solution for restoring irregularly worn components to functional condition. The demonstrated bonding quality, surface finish, and wear performance confirm the viability of this approach for industrial application. For mining operations and other industries facing component wear challenges, this methodology offers a cost-effective and environmentally responsible alternative to component replacement.