Laser Metal Deposition (LMD) is a powerful technique for fabricating and repairing complex metal components. However, it often results in residual stresses, uneven microstructures, and inconsistent mechanical properties due to the rapid thermal cycling. Laser-Based Heat Treatment (LBHT) offers a precise, localised post-processing solution to address these challenges, but its application to 17-4 PH stainless steel processed with LMD remains underexplored. This systematic review analysed 55 peer-reviewed studies published between 2015 and 2025, sourced from Scopus, Web of Science, Taylor & Francis Online, and IEEE Xplore. It focused on how LBHT processes parameters such as laser power, scan speed, laser beam diameter, and over-lap ratio affect microstructural evolution, stress relief, precipitation behaviour, and recovery of mechanical performance in LMD 17-4 PH. The review highlights the advantages of LBHT over conventional furnace heat treatments. However, significant gaps remain, including the lack of standardised process parameters, the minimal integration of in situ LBHT during LMD, and limited long-term performance data. Key recommendations include developing hybrid LMD-LBHT systems, applying machine learning to optimise process parameters, and establishing standardised testing and evaluation protocols. This review provides a comprehensive foundation for driving research and enabling reliable use of LBHT in the additive manufacturing of 17-4 PH components.
| Published in | American Journal of Materials Synthesis and Processing (Volume 11, Issue 1) |
| DOI | 10.11648/j.ajmsp.20261101.11 |
| Page(s) | 1-22 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2026. Published by Science Publishing Group |
Laser Metal Deposition, Laser-based Heat Treatment, 17-4 PH Stainless Steel, Additive Manufacturing, Microstructural Evolution, Mechanical Properties
Quality level of the article based on ‘Yes’ responses | Description |
|---|---|
High quality: 7 to 9 | Methodologically robust and directly relevant to the research questions |
Moderate quality: 4 to 6 | Methodologically sound but with minor limitations in scope or depth |
Low quality: ≤ 4 | Methodological shortcomings or insufficient relevance |
Research Type | Number of Studies | Representation (%) |
|---|---|---|
96.6% | 55 | 96.6% |
Analytical/Modelling | 2 (combined with experimental) | 3.4% |
Numerical/Simulation | 0 | 0% |
Study ID | Laser Power (W) | Scan Speed (mm/s) | Feed Rate (g/min) | Layer Thickness (mm) | Main Findings |
|---|---|---|---|---|---|
Morteza et al., 2024 [31] | 350–550 | 8–12 | 0.09–0.27 | 0.177–0.670 | Improved microhardness |
Aruntapan et al., 2024 [35] | 350–400 | 13.33–20 | 5.0 | 0.3 | Increased compressive yield strength |
Morales et al., 2023 [1] | 1500–2500 | 10–20 | 6.7–20 | 0.19–1.01 | Higher laser energy improved clad dilution |
Chen et al., 2024 [32] | 1665 | 5 | 12.98 | — | Higher energy input improved clad dilution |
Pilehrood et al., 2021 [33] | 200–400 | 1.5–2 | — | — | Dilution and aspect ratio reduced with higher scan speed |
Wang et al., 2022 [36] | 400–600 | 10 | 0.5 | — | Laser power affected porosity, hardness, and strength |
Yu et al., 2020 [37] | 685 | 10 | 7 | 0.5 | Laser remelting reduced porosity |
Wang et al., 2024 [38] | 2200 | 10 | 15 | 1.3 | Solution ageing improved microstructure |
Mathoho et al., 2020 [39] | 300–400 | 7.62–12.7 | 4.7 | — | Parameters influenced metallurgical characteristics |
Wu et al., 2020 [37 ] | — | 11.67 | 0.8 | 0.6 | Enhanced austenite transformation via grain orientation |
Wang et al., 2024 [6] | 2200 | 10 | 15 | — | Grain size reduced after solution hardening |
Merlin et al., 2024 [23] | — | 8–20 | 6.7–12 | — | Heat-treated tracks showed increased strength |
Muslim et al., 2022 [4] | 1200–2200 | 6–15 | 3.5–5.0 | 10 | Conditions influenced geometrical properties |
Bayode, 2022 [3] | 1400–2600 | 6 | 2 | — | Max hardness at max power |
Li et al., 2023 [40] | — | 45 | 55 | 1.11–1.12 | Laser shock peening reduced the wear rate |
Steponaviciute et al., 2021 [34] | 70–195 | 13.33 | — | — | The highest power yielded the best microstructure |
Defect Type | Occurrence Frequency | Primary Causes | Impact on Part |
|---|---|---|---|
Porosity | >60% | Lack of fusion, entrapped gas, unstable powder flow | Reduces density and structural integrity |
Cracking | Frequent | High thermal gradients, martensitic transformation | Initiates failure, lowers fatigue resistance |
Residual Stress | Frequent | Rapid solidification, layer-by-layer thermal cycling | Causes distortion and early failure |
Non-uniform Hardness | Common | Uneven cooling, phase imbalance, heterogeneous microstructure | Compromises mechanical performance |
Parameter | Effect | References |
|---|---|---|
Laser Power | Controls peak temperature during treatment, affecting microstructural transformations and hardness. High power can lead to excessive melting, while low power may not fully induce desired transformations. | Optimal: [26, 54] ; Poor: [14, 43, 47] |
Scan Speed | Affects energy input and dwell time. Slower speeds increase heat penetration and improve depth of treatment but may cause thermal distortion. Excessively slow speeds may result in overheating and grain coarsening. | Optimal: [42, 43] ; Poor: [14, 17, 42, 43, 46, 47] |
Beam Size | Smaller beams offer higher precision but may require more passes, affecting the heat-affected zone (HAZ) and uniformity. Larger beams can cover larger areas but might compromise precision. | Optimal: [14] ; Poor: [26] |
Overlap Ratio | Essential for uniform material modification and avoiding gaps or overheating. Inadequate overlap can lead to non-uniform hardness. | Optimal: [24] ; Poor: [37] |
Limitation | Effect | Mitigation Strategies |
|---|---|---|
Process Control Complexity | Difficulty in maintaining consistent laser parameters (power, speed, focus), especially with complex geometries. | Implement advanced feedback control systems, use real-time monitoring and adjustment of laser parameters - Develop for adaptive process control [31] . |
Uniformity and Penetration Depth | Non-uniform hardness profiles and microstructural heterogeneities due to uneven heat input. Limited thermal penetration depth. | Optimize process parameters (laser power, speed, interaction time) - Utilize multi-pass or hybrid methods to improve uniformity and penetration depth [48, 15] . |
Equipment Limitations in Hybrid Setups | Integration challenges with other manufacturing processes, increasing system complexity, and costs. | Design more adaptable and scalable systems - Use high-efficiency lasers to enhance performance in hybrid setups – Reduce costs with modular systems [50] . |
Laser and Optical Systems Limitations | Restricted maximum hardening depth due to laser power limits, affecting material properties beyond certain depths. | Use higher power lasers for deeper treatments (if applicable) - Investigate alternative laser or optical configurations to extend penetration depth [50, 14] . |
AM | Additive Manufacturing |
DED | Directed Energy Deposition |
DMD | Direct Metal Deposition |
LC | Laser Cladding |
LMD | Laser Metal Deposition |
LBHT | Laser-Based Heat Treatment |
PH | Precipitation Hardening |
HAZ | Heat-Affected Zone |
SEM | Scanning Electron Microscope |
XRD | X-ray Diffraction |
FCC | Face-Centred Cubic |
FEM | Finite Element Method |
PRISMA | Preferred Reporting Items for Systematic Reviews and Meta-Analyses |
JBI | Joanna Briggs Institute |
HV | Vickers Hardness |
SLM | Selective Laser Melting |
LPBF | Laser Powder Bed Fusion |
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APA Style
Olabisi, M. F., Botes, A., Dreyer, B. (2026). Laser-based Heat Treatment Process Development for Laser Metal Deposition Layer/s on Heat-sensitive Alloy 17-4 PH: A Systematic Review. American Journal of Materials Synthesis and Processing, 11(1), 1-22. https://doi.org/10.11648/j.ajmsp.20261101.11
ACS Style
Olabisi, M. F.; Botes, A.; Dreyer, B. Laser-based Heat Treatment Process Development for Laser Metal Deposition Layer/s on Heat-sensitive Alloy 17-4 PH: A Systematic Review. Am. J. Mater. Synth. Process. 2026, 11(1), 1-22. doi: 10.11648/j.ajmsp.20261101.11
@article{10.11648/j.ajmsp.20261101.11,
author = {Michael Femi Olabisi and Annelize Botes and Bernard Dreyer},
title = {Laser-based Heat Treatment Process Development for Laser Metal Deposition Layer/s on Heat-sensitive Alloy 17-4 PH: A Systematic Review},
journal = {American Journal of Materials Synthesis and Processing},
volume = {11},
number = {1},
pages = {1-22},
doi = {10.11648/j.ajmsp.20261101.11},
url = {https://doi.org/10.11648/j.ajmsp.20261101.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmsp.20261101.11},
abstract = {Laser Metal Deposition (LMD) is a powerful technique for fabricating and repairing complex metal components. However, it often results in residual stresses, uneven microstructures, and inconsistent mechanical properties due to the rapid thermal cycling. Laser-Based Heat Treatment (LBHT) offers a precise, localised post-processing solution to address these challenges, but its application to 17-4 PH stainless steel processed with LMD remains underexplored. This systematic review analysed 55 peer-reviewed studies published between 2015 and 2025, sourced from Scopus, Web of Science, Taylor & Francis Online, and IEEE Xplore. It focused on how LBHT processes parameters such as laser power, scan speed, laser beam diameter, and over-lap ratio affect microstructural evolution, stress relief, precipitation behaviour, and recovery of mechanical performance in LMD 17-4 PH. The review highlights the advantages of LBHT over conventional furnace heat treatments. However, significant gaps remain, including the lack of standardised process parameters, the minimal integration of in situ LBHT during LMD, and limited long-term performance data. Key recommendations include developing hybrid LMD-LBHT systems, applying machine learning to optimise process parameters, and establishing standardised testing and evaluation protocols. This review provides a comprehensive foundation for driving research and enabling reliable use of LBHT in the additive manufacturing of 17-4 PH components.},
year = {2026}
}
TY - JOUR T1 - Laser-based Heat Treatment Process Development for Laser Metal Deposition Layer/s on Heat-sensitive Alloy 17-4 PH: A Systematic Review AU - Michael Femi Olabisi AU - Annelize Botes AU - Bernard Dreyer Y1 - 2026/02/06 PY - 2026 N1 - https://doi.org/10.11648/j.ajmsp.20261101.11 DO - 10.11648/j.ajmsp.20261101.11 T2 - American Journal of Materials Synthesis and Processing JF - American Journal of Materials Synthesis and Processing JO - American Journal of Materials Synthesis and Processing SP - 1 EP - 22 PB - Science Publishing Group SN - 2575-1530 UR - https://doi.org/10.11648/j.ajmsp.20261101.11 AB - Laser Metal Deposition (LMD) is a powerful technique for fabricating and repairing complex metal components. However, it often results in residual stresses, uneven microstructures, and inconsistent mechanical properties due to the rapid thermal cycling. Laser-Based Heat Treatment (LBHT) offers a precise, localised post-processing solution to address these challenges, but its application to 17-4 PH stainless steel processed with LMD remains underexplored. This systematic review analysed 55 peer-reviewed studies published between 2015 and 2025, sourced from Scopus, Web of Science, Taylor & Francis Online, and IEEE Xplore. It focused on how LBHT processes parameters such as laser power, scan speed, laser beam diameter, and over-lap ratio affect microstructural evolution, stress relief, precipitation behaviour, and recovery of mechanical performance in LMD 17-4 PH. The review highlights the advantages of LBHT over conventional furnace heat treatments. However, significant gaps remain, including the lack of standardised process parameters, the minimal integration of in situ LBHT during LMD, and limited long-term performance data. Key recommendations include developing hybrid LMD-LBHT systems, applying machine learning to optimise process parameters, and establishing standardised testing and evaluation protocols. This review provides a comprehensive foundation for driving research and enabling reliable use of LBHT in the additive manufacturing of 17-4 PH components. VL - 11 IS - 1 ER -