Interlayer Temperature Measurement via Infrared Thermometry and Thermal Imaging in Bimetallic Cladding Processes

1. Definition and Fundamental Principles

Interlayer (interpass) temperature measurement using infrared thermometers and thermal imaging cameras is a non-contact thermal monitoring technique employed to continuously or intermittently assess the surface temperature of substrate and deposited layers during bimetallic cladding operations. The technology is rooted in the Stefan-Boltzmann radiation law, which states that all objects above absolute zero emit electromagnetic radiation proportional to the fourth power of their absolute temperature. Infrared pyrometers and thermal imagers capture this emitted radiation in the mid- to long-wave infrared spectrum (typically 0.7–14 μm) and convert it into a temperature reading.

In the context of cladding manufacturing—whether weld overlay, hydraulic explosive bonding, or explosion welding—the interlayer temperature is a critical process parameter that governs solidification microstructure, dilution, residual stress development, hydrogen-induced cracking susceptibility, and ultimate metallurgical compatibility between dissimilar materials. The entry under discussion (No. 349) specifies two operational modes:

The description explicitly cautions against emissivity setting error, which is the single largest source of measurement inaccuracy in infrared thermometry applied to metallic surfaces. Oxidized, spattered, or molten surfaces present variable emissivity values that, if not correctly compensated, can lead to systematic under- or over-estimation of true surface temperature.

2. Category and Business Positioning

This capability falls under the major category of Process Temperature Control and Cooling (过程温控与降温), subcategory Layer Temperature Measurement (层温测量), with the technical purpose of achieving full-field non-contact monitoring (全场非接触). It is referenced in linkage with Entry No. 324, which pertains to the broader interpass temperature control strategy and welding sequence planning.

Within the company's quality management architecture, this capability serves as the measurement backbone for interpass temperature compliance. It bridges the gap between WPS (Welding Procedure Specification) requirements for maximum interpass temperature and the actual field execution, providing auditable data trails for NQA-1, ISO 3834, or customer-specific quality audits.

3. Technical Purpose and Value

3.1 Primary Technical Objectives

3.2 Business Value

4. Key Process and Implementation Points

4.1 Instrument Selection and Specification

Parameter Single-Point Infrared Gun Thermal Imager (Full-Field)
Measurement principle Spot pyrometry, single pixel or small area Multi-pixel infrared detector array (e.g., microbolometer)
Temperature range −50°C to 1800°C (typical industrial grade) −20°C to 500°C (standard) / 1000°C (high-temp)
Spatial resolution Spot size determined by distance-to-spot ratio (DSR), typically 10:1 to 50:1 Detector pixel count (e.g., 384×288, 640×480)
Measurement speed 1–5 readings per second Up to 60 Hz frame rate (real-time video)
Accuracy (typical) ±1.5°C or ±1.5% of reading ±2°C or ±2% of reading
Data output Point value, manual log or serial output Full-frame image + CSV/JSON temperature matrix, network integration (Ethernet, Wi-Fi)
Welding integration Manual spot-check between passes Automated interlock with welding controller, PLC, or robotic system
Typical cost $200–$2,000 $5,000–$50,000+

4.2 Emissivity Management—The Critical Control Variable

Emissivity (ε) is the ratio of radiation emitted by a surface to that emitted by a perfect blackbody at the same temperature. For metallic surfaces in cladding operations, emissivity is highly variable:

Surface Condition Typical Emissivity (ε) Impact on Measurement
Clean stainless steel (304/316L) 0.25–0.35 Low emissivity; high reflectivity from surroundings causes significant error
Oxidized stainless steel 0.75–0.95 High emissivity; more reliable measurement
Carbon steel (mill finish) 0.60–0.80 Moderate; oxidation state dependent
Molten weld pool 0.85–0.95 Generally reliable, but spatter and arc radiation interfere
Spattered/porous surface 0.70–0.90 Variable; localized measurement uncertainty
Carbon steel (machined, polished) 0.10–0.20 Extremely reflective; requires tape or coating for accurate measurement

Control measures for emissivity error:

  1. High-emissivity tape application: Apply ε ≈ 0.95 tape (e.g., Kapton, electrical tape, or specialized IR tape) at designated measurement points prior to welding. This is the most reliable method for accurate interpass temperature reading on low-emissivity substrates.
  2. Two-color (ratio) pyrometry: For molten or semi-transparent materials, two-color pyrometers measure at two wavelengths and compute temperature from the ratio, eliminating emissivity dependence.
  3. Reflective target correction: For low-emissivity surfaces, measure reflected radiation from a known-temperature target (e.g., blackbody cavity or calibrated reflector) and apply correction algorithms.
  4. Software emissivity calibration: For thermal imagers, perform empirical emissivity calibration by comparing IR readings against a contact thermocouple at multiple temperatures and surface conditions, then set the instrument's emissivity parameter accordingly.

4.3 Measurement Procedure—Single-Point Infrared Gun

  1. Pre-weld preparation: Apply high-emissivity tape at predetermined measurement locations (typically at the toe of the preceding bead, the center of the preceding bead, and the intended start point of the next bead).
  2. Instrument calibration: Verify the infrared gun against a calibrated blackbody furnace or reference thermometer within the operating range. Document calibration certificate number and date.
  3. Distance verification: Confirm measurement distance is within the instrument's specified DSR range to ensure the spot size does not exceed the intended measurement area.
  4. Measurement execution: Between each pass, allow the operator to measure surface temperature at all designated points. Record the maximum reading and the time since the preceding pass completed.
  5. Decision logic: If any reading exceeds the WPS-specified maximum interpass temperature, initiate forced cooling (air blast, water spray, or passive cooling) and re-measure after a defined cooling interval.
  6. Documentation: Log all readings in a welding logbook or electronic data capture system, including instrument ID, calibration date, operator ID, and pass number.

4.4 Measurement Procedure—Thermal Imager with Welding Integration

  1. System setup: Mount the thermal imager on a fixed or robotic position with a clear line of sight to the entire welding zone. Ensure the field of view encompasses the current weld area plus a margin of at least 50 mm beyond the active bead.
  2. Emissivity configuration: Set the thermal imager's emissivity parameter based on pre-calibrated values for the specific substrate material and surface condition. For multi-material cladding (e.g., carbon steel substrate with stainless overlay), configure zone-specific emissivity settings or apply measurement tape.
  3. Threshold configuration: Define maximum interpass temperature limits in the thermal imager's software or the connected PLC. Set alarm thresholds at 80%, 90%, and 100% of the maximum allowable temperature for graduated warning.
  4. Integration with welding controller: Establish a communication link (e.g., Modbus TCP, Ethernet/IP, or proprietary protocol) between the thermal imager and the welding power source or robotic controller. Program the interlock logic: if the maximum pixel temperature in the defined ROI (Region of Interest) exceeds the threshold, the system triggers a warning alarm; if it exceeds a critical threshold, the system automatically pauses the welding cycle.
  5. Real-time monitoring: During welding, the thermal imager captures continuous frames. The software extracts the maximum temperature, mean temperature, and temperature gradient across the ROI. This data is displayed on a monitoring screen and logged to a time-series database.
  6. Post-weld analysis: After welding completion, export the full thermal imaging dataset for analysis. Generate temperature distribution maps, cooling rate curves, and heat accumulation profiles for process optimization and quality records.

4.5 Recommended Instrument Parameters for Cladding Applications

Application Recommended Temperature Range Recommended Spectral Range Recommended Emissivity Setting Key Feature
TIG/MIG weld overlay interpass monitoring 0–500°C 7.5–14 μm (long-wave) 0.95 (with tape) or calibrated value Real-time video, ROI alarm, data logging
Explosion welding surface temperature check 0–200°C 7.5–13 μm 0.85–0.95 (oxidized surfaces) Full-field imaging for bond line inspection
Post-weld PWHT temperature uniformity 100–900°C 7.5–14 μm 0.90–0.95 High resolution, uniformity mapping
Molten pool monitoring (research) 1500–2000°C 1.5–2.5 μm (short-wave, two-color) Not applicable (ratio method) High-speed capture, arc radiation immunity

5. Applicable Standards and Acceptance Criteria

5.1 Standards Governing Interpass Temperature Control

5.2 Standards Governing Infrared Thermometry Instruments

5.3 Acceptance Criteria for Infrared Temperature Measurement Systems

Acceptance Criterion Requirement Verification Method
Instrument calibration Calibrated within ±1.0°C or ±1.0% of reading against a traceable reference Calibration certificate from accredited laboratory (CNAS/ISO 17025)
Emissivity setting Empirically verified against contact thermocouple within ±5°C at operating temperatures Side-by-side comparison test at 100°C, 200°C, 300°C, 400°C
Interpass temperature compliance All recorded readings within WPS-specified maximum interpass temperature Review of temperature log data for each weld pass
Alarm function System triggers alarm within 2 seconds of threshold exceedance Functional test with heated target exceeding alarm setpoint
Data integrity Continuous, unbroken temperature log with timestamp for entire welding operation Review of exported data file for gaps or anomalies

6. Common Risks and Controls

6.1 Measurement Accuracy Risks

Risk Cause Consequence Control Measure
Emissivity mismatch Incorrect emissivity setting for actual surface condition Systematic temperature error (up to ±50°C on polished steel) Apply high-emissivity tape; perform empirical calibration; use two-color pyrometry
Atmospheric absorption Water vapor, CO₂, and particulates between sensor and target Underestimation of true temperature Minimize measurement distance; use short-wave IR for long distances; apply atmospheric correction
Reflected radiation Hot surroundings (welding arc, furnace walls) reflected off low-emissivity surface Overestimation of true temperature Use emissivity tape; shield sensor from arc radiation; use reflectance correction
Window contamination Spatter, dust, or smoke on the thermal imager lens or infrared gun window Reduced signal, inaccurate readings Protective window with purge air; regular cleaning schedule
Instrument drift Aging detector, thermal drift of reference thermometer Gradual accuracy degradation Regular calibration schedule (every 6–12 months); daily reference checks

6.2 Process Control Risks

Risk Cause Consequence Control Measure
Excessive interpass temperature High travel speed, insufficient cooling time, high heat input Dilution increase, sensitization, intergranular corrosion, HAZ softening Real-time thermal imager monitoring with automated alarm; enforced cooling intervals
Insufficient interpass temperature Over-cooling, excessive air blast Hard microstructure, hydrogen cracking, poor weld fusion Minimum temperature alarm; controlled cooling methods
Thermal accumulation in multi-pass builds Sequential deposition without adequate heat dissipation Progressive temperature rise, final passes exceed limit Full-field thermal mapping to identify accumulation zones; adaptive sequence planning
False alarm / nuisance shutdown Incorrect threshold setting, arc radiation interference Welding disruption, productivity loss Shield imager from arc; set graduated alarm levels; use ROI masking

6.3 Quality System Risks

7. Application Across the Company's Three Technology Routes

7.1 TIG/MIG Weld Overlay

In TIG (GTAW) and MIG (GMAW) weld overlay cladding, interpass temperature control is arguably the most critical process parameter after heat input. The application of infrared thermometry in this route is extensive and well-established:

7.2 Hydraulic Explosive Bonding

Hydraulic explosive bonding (also known as hydraulic shock bonding or hydraulic explosion welding) is a solid-state bonding process that uses controlled hydraulic shock to achieve metallurgical bonding between dissimilar metal plates. While the process itself does not involve welding heat input in the traditional sense, infrared thermometry plays important roles in pre-processing, post-processing, and quality verification:

7.3 Explosion Welding

Explosion welding is a high-energy solid-state bonding process that uses detonation of a shaped explosive charge to accelerate a flyer plate onto a base plate at high velocity, achieving metallurgical bonding through plastic instability (jet formation) and adiabatic shear. Infrared thermometry is applied in several critical aspects of this process:

8. Integration with Entry No. 324 and System-Level Process Control

The explicit reference to linkage with Entry No. 324 underscores that infrared temperature measurement is not a standalone capability but an integral component of a broader interpass temperature control system. Entry 324 likely encompasses:

Entry 349 provides the measurement and monitoring capability that enables the control strategy defined in Entry 324 to be executed and verified. The relationship is analogous to a thermostat (Entry 324) and a thermometer (Entry 349): the thermostat defines the target and control logic, while the thermometer provides the feedback signal. Without accurate, reliable, and timely temperature measurement, the interpass temperature control strategy cannot be validated or audited.

9. Implementation Roadmap and Recommendations

9.1 Short-Term Actions (0–6 months)

  1. Instrument procurement: Acquire a minimum of two industrial-grade infrared guns (e.g., Fluke 62 MAX, Testo 875, or equivalent) with calibration certificates, and one mid-range thermal imager (e.g., FLIR A-series, FLIR T-series, or equivalent) with 384×288 or higher resolution.
  2. Emissivity calibration program: Establish a calibration procedure for each substrate material used in production. Perform side-by-side comparison tests with calibrated contact thermocouples at representative temperatures (100°C, 200°C, 300°C, 400°C) and document the optimal emissivity setting for each material/surface condition combination.
  3. Operator training: Train all welding operators and quality inspectors on infrared thermometer operation, emissivity management, data recording, and interpretation. Include practical exercises with known-temperature targets.
  4. Procedural documentation: Update welding work instructions and quality procedures to include infrared temperature measurement as a required step for interpass temperature verification. Specify instrument ID, calibration status, measurement location, and recording requirements.

9.2 Medium-Term Actions (6–18 months)

  1. Thermal imager integration: Install a thermal imager with welding controller integration on the primary weld overlay production line. Develop interlock logic for over-temperature alarm and automatic pause. Validate the integration with test welds.
  2. Data management system: Implement a data logging and management system for infrared temperature data. Ensure data is stored with proper metadata (weld ID, material, WPS number, operator ID, instrument ID, calibration date) and is retrievable for audit and customer inspection.
  3. Process optimization: Use accumulated thermal imaging data to identify patterns in thermal accumulation, optimize welding sequences, and refine cooling methodologies. Develop predictive models for interpass temperature based on welding parameters, ambient conditions, and substrate thickness.

9.3 Long-Term Actions (18–36 months)

  1. Advanced thermal monitoring: Investigate high-speed thermal imaging for molten pool monitoring and real-time weld quality assessment. Explore the integration of thermal imaging with machine learning algorithms for predictive defect detection.
  2. Multi-sensor fusion: Combine infrared thermography with other process monitoring sensors (current, voltage, travel speed, arc height) in a comprehensive welding monitoring system. Develop a digital twin of the welding process that incorporates thermal data for real-time simulation and optimization.
  3. Industry leadership: Publish technical papers and present at industry conferences on the application of infrared thermometry in bimetallic cladding. Contribute to standard development for infrared-based process monitoring in welding and cladding operations.

10. Conclusion

Interlayer temperature measurement via infrared thermometry and thermal imaging is a foundational capability for ensuring metallurgical quality, process compliance, and qualification integrity in bimetallic cladding manufacturing. The transition from manual, contact-based temperature measurement to non-contact, full-field infrared monitoring represents a significant advancement in process control maturity. By implementing the capabilities described in Entry No. 349 in conjunction with the interpass temperature control strategy of Entry No. 324, Cladding Technology Shanxi Co., Ltd. can achieve:

The critical success factor is disciplined emissivity management. Without proper emissivity calibration and verification, even the most sophisticated thermal imager will produce unreliable data. Investment in calibration procedures, high-emissivity measurement targets, and operator training is essential to realize the full value of this capability.