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CLADDING · BIMETAL PRODUCT · BIMETAL PRESSURE VESSEL TECHNICAL STUDY

Factors Influencing Hardness of Cobalt-Based Alloy Surfacing Layers

Literature Overview

This study note examines the multiple factors that influence the hardness of cobalt-based alloy surfacing layers deposited by welding overlay processes. Cobalt-based hardfacing alloys, particularly those in the Stellite family (Stellite 6, 21, 6B, etc.) and their variants, are among the most widely used materials for high-temperature wear and corrosion protection. The hardness of the surfacing layer is the primary indicator of wear resistance and is influenced by a complex interaction of compositional, process, and thermal factors.

Cobalt-Based Alloy Classification and Hardness Ranges

Alloy Designation Key Alloying Elements As-Welded Hardness (HV) Tempered Hardness (HV) Primary Application
Stellite 6 5-7% Cr, 1.0% C, 5-7% Mo 400-450 350-400 High-temp corrosion/wear
Stellite 21 10-12% Cr, 1.5% C, 5-7% Mo 450-500 400-450 Severe corrosion/wear
Stellite 6B 5-7% Cr, 0.7% C, 3-5% Mo, 5-7% W 420-480 380-430 Improved weldability
Co-Cr-C (high Cr) 20-28% Cr, 1.0-1.5% C 480-550 420-480 Severe corrosion
Co-W-C (high W) 3-6% Cr, 1.0% C, 15-20% W 500-580 450-520 Extreme wear resistance
Co-Ni-C (Ni addition) 8-12% Cr, 8-12% Ni, 1.0% C 380-430 350-400 Reduced cracking tendency

Factors Influencing Surfacing Layer Hardness

1. Carbon Content and Carbide Formation

Carbon is the primary hardening element in cobalt-based alloys. It forms hard carbide precipitates (primarily Cr7C3, Cr3C2, and in high-tungsten alloys, W2C and WC) that provide the bulk of the wear resistance. The relationship between carbon content and hardness is not linear:

2. Chromium Content

Chromium serves a dual function: it forms carbides (Cr7C3) and provides solid solution strengthening. The influence on hardness follows a complex pattern:

3. Tungsten and Molybdenum Content

W and Mo are powerful carbide formers that significantly increase hardness:

4. Welding Process Effects

Process Typical Hardness (HV) Key Influence
Submerged Arc Welding (SAW) 420-480 Moderate cooling rate; good carbide formation
Gas Metal Arc Welding (GMAW) 400-460 Higher cooling rate; slightly coarser microstructure
Plasma Transferred Arc (PTA) 480-550 Controlled cooling; fine carbide distribution
Laser Cladding 500-600 Rapid solidification; fine precipitates
Gas Tungsten Arc Welding (GTAW) 400-450 Low dilution; pure alloy properties
Electroslag Welding (ESW) 380-420 Very slow cooling; coarser carbides

5. Cooling Rate and Heat Treatment

The cooling rate from the welding process directly affects the carbide precipitation pattern:

Post-weld heat treatment (solution treatment and aging) can significantly modify hardness:

6. Dilution Effects

Base metal dilution is a critical factor in determining final surfacing layer hardness:

Dilution Level Effect on Hardness Mechanism
0-10% Minimal reduction (≤20 HV) Negligible compositional change
10-20% Moderate reduction (30-60 HV) Carbon dilution reduces carbide volume
20-30% Significant reduction (60-120 HV) Major compositional deviation
>30% Severe reduction (>120 HV) Alloy properties substantially altered

7. Number of Weld Passes and Layer Buildup

Multi-pass overlay introduces additional variables:

Process-Property Optimization Matrix

Application Requirement Recommended Alloy Process Target Hardness Key Control Factor
High-temp corrosion resistance Stellite 6 SAW or PTA 400-450 HV Chromium content, dilution control
Severe abrasive wear Co-W-C type PTA or Laser 550-650 HV W content, cooling rate
Combined corrosion/wear Stellite 21 SAW with buffer 450-500 HV Cr content, multi-pass strategy
High-temperature creep resistance Co-Ni-C type GTAW or PTA 380-430 HV Ni content for creep strength
Maximum hardness Co-Cr-W high-C Laser cladding 600-700 HV Rapid solidification, high C

Engineering Practice Guidelines

Based on the comprehensive understanding of hardness-influencing factors, the following guidelines are recommended for practical applications:

  1. Always measure as-welded hardness before accepting a surfacing job: Visual inspection and process parameter compliance are necessary but insufficient; hardness verification is mandatory.
  2. Account for dilution in hardness predictions: The nominal alloy hardness from the manufacturer's data sheet applies only to zero-dilution conditions; actual hardness will be lower based on dilution level.
  3. Use multiple measurement points: Hardness varies across the surfacing layer due to cooling rate variations; measure at minimum 5 points across the overlay area.
  4. Consider the heat treatment history: As-welded hardness is not the same as post-heat-treatment hardness; specify the condition when reporting hardness values.
  5. Relate hardness to application requirements: Higher hardness is not always better; excessive hardness reduces toughness and may cause catastrophic failure rather than gradual wear.

Study Insights and Concluding Reflections

The study of cobalt-based alloy surfacing hardness reveals that this single mechanical property is governed by a complex, multi-variable system where compositional factors, process parameters, thermal history, and post-processing all interact in non-trivial ways. The engineer's challenge is not merely to maximize hardness but to achieve the optimal hardness for a specific application, balancing wear resistance against toughness, corrosion resistance, and thermal stability.

The practical implication is that hardness specification in hardfacing engineering must always be accompanied by context: the alloy composition, the welding process, the dilution level, and the thermal condition. A specification of "500 HV" is meaningless without these qualifiers. This holistic approach to hardness specification and control represents the mature understanding that distinguishes expert hardfacing practice from amateur application of welding consumables. The cobalt-based alloy family remains one of the most versatile and widely deployed hardfacing systems in industry precisely because its properties can be tuned across a wide range through the systematic manipulation of the factors identified in this study.