Effects of laser shock peening on the ultra-high cycle fatigue performance of additively manufactured Ti6Al4V alloy

Jiang, Qinghong; Li, Shuai; Zhang, Cong; Zhang, Bi; Zhang, Yongkang

doi:10.1016/j.optlastec.2021.107391

Cited by 55 publications

(21 citation statements)

References 72 publications

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“…Primarily, WAAM emerges as the predominant IPDed AM technology for the rapid prototyping of Al-based alloys, particularly in applications related to reinforcement, plate, and rib components for large-scale structural parts. Following Al-based alloys, there is a substantial body of research on the IPDed AM of Ti-based alloys, which are commonly employed for load-bearing components within aircraft structural The radar charts compared typical mechanical properties for non-contact strengthen method [13,119,133,148,[211][212][213]. Reprinted from [13], Copyright (2021), with permission from Elsevier.…”

Section: Literature Analysis On Mechanical Propertiesmentioning

confidence: 99%

Performance-control-orientated hybrid metal additive manufacturing technologies: state of the art, challenges, and future trends

Lv,

Liang,

et al. 2024

Int. J. Extrem. Manuf.

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Metal additive manufacturing (AM) technologies have made significant progress in the basic theoretical field since their invention in the 1970s. However, performance instability during continuous processing, such as thermal history, residual stress accumulation, and columnar grain epitaxial growth, consistently hinders their broad application in standardized industrial production. To overcome these challenges, performance-control-oriented hybrid AM (HAM) technologies have been introduced. These technologies, by leveraging external auxiliary processes, aim to regulate microstructural evolution and mechanical properties during metal AM. In this context, HAM technologies for molten pool regulation and solidified material deformation are identified as energy field-assisted AM (EFed AM, e.g., ultrasonic, electromagnetic, heat, etc.) technologies and interlayer plastic deformation-assisted AM (IPDed AM, e.g., laser shock peening, rolling, ultrasonic peening, friction stir process, etc.) technologies, respectively. A detailed and systematic review of performance-control-oriented HAM technologies is then provided. This review covers the influence of external energy fields on the melting, flow, and solidification behavior of materials, and the regulatory effects of interlayer plastic deformation on grain refinement, nucleation, and recrystallization. Furthermore, the role of performance-control-oriented HAM technologies in managing residual stress conversion, metallurgical defect closure, mechanical property improvement, and anisotropy regulation is thoroughly reviewed and discussed. The review concludes with an analysis of future development trends in EFed AM and IPDed AM technologies.

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Section: Literature Analysis On Mechanical Propertiesmentioning

confidence: 99%

Performance-control-orientated hybrid metal additive manufacturing technologies: state of the art, challenges, and future trends

Lv,

Liang,

et al. 2024

Int. J. Extrem. Manuf.

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show abstract

“…In general, AF parts tend to have a poor surface finish, with consequent low fatigue performances. To enhance the surface quality, one or more surface treatments are used, like LSP, 11 SP, 12,13 polishing, surface machining, SMAT, 14 Electric Discharge Machining (EDM), 19 surface machining, and SB 15 . This is the reason why even surface treatments have been considered as the input of the NN.…”

Section: Machine Learning Algorithmsmentioning

confidence: 99%

“…For example, to reduce the defect size, thermal treatments, such as hot isostatic pressing (HIP), are often employed 6,8–10 11 shot peening (SP), 12,13 polishing, surface mechanical attrition treatment (SMAT), 14 surface machining and sand blasting (SB) 15 can remove surface defects, improving the response to cyclic loads. Due to these large number of factors, the design against fatigue loads of SLM Ti6Al4V parts can be rather difficult 5,6,8,9,11,15–22 .…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, surface treatments like laser shot peening (LSP), 11 shot peening (SP), 12,13 polishing, surface mechanical attrition treatment (SMAT), 14 surface machining and sand blasting (SB) 15 can remove surface defects, improving the response to cyclic loads. Due to these large number of factors, the design against fatigue loads of SLM Ti6Al4V parts can be rather difficult 5,6,8,9,11,15–22 . Methodologies allowing to consider the influence of the above‐described factors on the fatigue response would facilitate the design process, without compromising the part safety.…”

Section: Introductionmentioning

confidence: 99%

“…Due to these large number of factors, the design against fatigue loads of SLM Ti6Al4V parts can be rather difficult. 5,6,8,9,11,[15][16][17][18][19][20][21][22] Methodologies allowing to consider the influence of the above-described factors on the fatigue response would facilitate the design process, without compromising the part safety. Machine learning (ML) algorithms can help to manage problems where many input factors are present and the experimental response is significantly influenced by their interactions.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Machine learning methods to predict the fatigue life of selectively laser melted Ti6Al4V components

Centola,

Ciampaglia,

Tridello

et al. 2023

Fatigue Fract Eng Mat Struct

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The aim of the present paper is to predict the fatigue life of Selectively Laser Melted (SLMed) Ti6Al4V components via the process parameters, the thermal treatments, the surface treatments and the stress amplitude, adopting machine learning techniques to reduce the cost of further fatigue testing, and to deliver better predictive fatigue designs. The studies resulted in reliable algorithms capable of predicting trustful fatigue curves. The methods have been trained with experimental data available in the literature and validated on testing sets to assess the extrapolation limits and to compare the different methods. The behavior of the networks has also been mapped by varying one SLM process parameter at the time, highlighting how each one affects the life.

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The Role of Annealing Heat Treatment in High-Temperature Oxidation Resistance of Laser Powder Bed Fused Ti6Al4V Alloy Subjected to Massive Laser Shock Peening Treatment

Lu,

Luo

2024

Laser Metallic Additive Manufacturing Technologies by Thermal-Mechanical Interaction

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Effects of laser shock peening on the ultra-high cycle fatigue performance of additively manufactured Ti6Al4V alloy

Cited by 55 publications

References 72 publications

Performance-control-orientated hybrid metal additive manufacturing technologies: state of the art, challenges, and future trends

Performance-control-orientated hybrid metal additive manufacturing technologies: state of the art, challenges, and future trends

Machine learning methods to predict the fatigue life of selectively laser melted Ti6Al4V components

The Role of Annealing Heat Treatment in High-Temperature Oxidation Resistance of Laser Powder Bed Fused Ti6Al4V Alloy Subjected to Massive Laser Shock Peening Treatment

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