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CLADDING · BIMETAL PRODUCT · BIMETAL PRESSURE VESSEL TECHNICAL STUDY

Influence of Cladding Travel Speed on Overlay Layer Formation Quality

Literature Overview

This research by Shi Chuanrui, Zhou Jianping, and Yilihamu Abuduremu from the College of Mechanical Engineering, Xinjiang University (published in Hot Working Technology, 2019, supported by the Xinjiang Uygur Autonomous Region Natural Science Foundation Project 2017D01C038) systematically investigates how cladding travel speed affects the formation quality of overlay layers. This is a fundamental process parameter study that addresses one of the most critical variables in weld overlay manufacturing: the relationship between deposition rate, thermal input, dilution, and final layer quality.

Core Technical Points

Travel speed is arguably the single most influential process parameter in weld overlay operations because it simultaneously affects:

  1. Linear energy input — Directly proportional to arc voltage and current, inversely proportional to speed
  2. Dilution rate — Higher speeds reduce base metal dilution
  3. Layer geometry — Width-to-height ratio changes with speed
  4. Solidification rate — Affects microstructure refinement
  5. Residual stress — Higher speeds generally reduce residual stresses
  6. Porosity susceptibility — Insufficient wetting at high speeds can cause defects

Travel Speed and Thermal Input Relationship

The linear heat input (q) is calculated as:

q = (V × I) / (v × η)

where V is arc voltage, I is welding current, v is travel speed, and η is thermal efficiency. For a typical SAW overlay operation with V = 30 V, I = 500 A, and η = 0.8:

Travel Speed (mm/min) Heat Input (kJ/mm) Dilution Rate (%) Layer Width (mm) Layer Height (mm)
100 18.75 25–30 35–40 6–8
200 9.38 15–20 28–32 4–6
300 6.25 10–15 22–26 3–5
400 4.69 8–12 18–22 2–4
500 3.75 6–10 15–18 2–3

Formation Quality Analysis

Defect Analysis by Travel Speed

Travel Speed Range Primary Defects Root Cause Severity
Too low (< 80 mm/min) Excessive dilution, grain coarsening, possible cracking Excessive heat input High
Optimal (150–350 mm/min) Minimal defects Balanced thermal conditions Low
Too high (> 450 mm/min) Undercut, incomplete fusion, porosity Insufficient wetting High

Microstructural Effects

At low travel speeds, the extended time at elevated temperatures promotes:

At high travel speeds, the rapid cooling promotes:

Process Window Determination

The study's methodology for determining the optimal travel speed window involves:

  1. Parameter variation testing — Systematic variation of speed while holding other parameters constant
  2. Macroscopic evaluation — Layer geometry, surface quality, undercut assessment
  3. Metallographic analysis — Grain size, phase distribution, defect identification
  4. Hardness mapping — Transverse and longitudinal hardness profiles
  5. Bond strength testing — Peel or shear tests for overlay-to-base adhesion

The optimal speed window is typically identified as the range where:

Engineering Practice Implications

For production environments, the findings have several practical implications:

  1. Process standardization — Travel speed must be tightly controlled (±10% variation) to ensure consistent quality.
  2. Equipment capability — Automatic travel speed control systems are essential for maintaining consistency.
  3. Operator training — Manual operators must be trained to recognize the effects of speed variation on layer quality.
  4. Process monitoring — Real-time monitoring of travel speed is recommended for critical applications.
  5. Weld procedure qualification — Travel speed ranges must be qualified per NB/T 47014 or ASME IX requirements.

Key Reflections

This study reinforces a fundamental principle in welding engineering: travel speed is not merely a productivity parameter but a quality-critical variable. The relationship between speed and quality is nonlinear, with distinct defect modes emerging at both extremes. Engineers must establish and maintain tight control over travel speed, particularly when producing overlay layers with specific compositional or microstructural requirements. The research methodology — systematic parameter variation combined with multi-scale characterization — serves as a model for similar process optimization studies in other cladding applications.