Heat treatment effect on fatigue behavior of 3D-printed maraging steels

Tezel, Tuğçe; Kovan, Volkan

doi:10.1108/rpj-03-2021-0069

Cited by 9 publications

(2 citation statements)

References 22 publications

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“…This paper investigates the heat-treating temperature influence concerning the fatigue properties of alloy steel (A193 -51T-B7). According to the results, the development rate of a fatigue fracture in standard specimens was greater than that of quenched then tempered specimens, but annealed specimens fatigue crack development rate exceeds that of normal specimens [12]. This research suggests a broad method to carbide refining that may be applied to improve fatigue characteristics [13].…”

Section: Introductionmentioning

confidence: 76%

The Effect of Carburization and Repeated Heat Treatment with Different Solutions on the Fatigue Resistance of Medium Carbon Steel

Sultan¹,

Karash²,

Kassim³

et al. 2022

IJHT

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Many mechanical parts are exposed to failure as a result of mechanical stresses for design or metallurgical reasons, and the phenomenon of fatigue represents the largest area and reaches (90%) of the faults of engineering parts that are subject to periodic stresses. The risk of fatigue failure occurs without warning, so the phenomenon of fatigue resistance has taken up a large part of the research and studies concerned with the dissolution of metals. This article aims to study the effect of fatigue resistance of ASTM 1050 steel. Carbonation, repeated quenching at different temperatures (780 & 770℃) using seven different solutions, and tempering at repeated tempering after each quenching at temperatures (230 & 250℃). The stress resistance of all the studied samples decreases after the second cooling in distilled water, with the exception of the samples that were initially quenched with the same solution and then quenched again. This is one of the most significant findings. Another finding is that following a second chilling in distilled water-based solution, the resistance to fatigue stress rises, increasing by up to (8.5%) in comparison to samples that were first quenched in the same solution then diluted.

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Section: Introductionmentioning

confidence: 76%

The Effect of Carburization and Repeated Heat Treatment with Different Solutions on the Fatigue Resistance of Medium Carbon Steel

Sultan¹,

Karash²,

Kassim³

et al. 2022

IJHT

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“…Extensive experimental investigations have been carried out in the MPBF to address shortcomings of the process (Gu and Shen, 2007; Mercelis and Kruth, 2006), to optimize process parameters for printed part mechanical properties (Bagherifard et al , 2018; Kim et al , 2018; Jung et al , 2019; Kuzminova et al , 2019; Tezel and Kovan, 2022) and to propose new postprocessing methods for MPBF parts (Lefky et al , 2017; Eslam et al , 2020; Raikar et al , 2020). In Table 2, the experimental work-related information is organized based on the material, quality issues targeted, method, machine and process parameters used to investigate their impact on MPBF part quality.…”

Section: Strategies For Mitigation Of Quality Issues In Metal Powder ...mentioning

confidence: 99%

Review of quality issues and mitigation strategies for metal powder bed fusion

Ravalji

Raval

2022

RPJ

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Purpose Selective laser melting and electron beam melting processes are well-known for the additive manufacturing of metal parts. Metal powder bed fusion (MPBF) is a common term for them. The MPBF process can empower the manufacturing of intricate shapes by reducing the use of special tools, shortening the supply chain and allowing small batches. However, the MPBF process suffers from many quality issues. In literature, several works are recorded for qualification of the MPBF part. The purpose of this study is to recollect those works done for quality control and report their helpful findings for further research and development. Design/methodology/approach A systematic literature review was conducted to highlight the major quality issues in the MPBF process and its root causes. Further, the works reported in the literature for mitigation of these issues are classified and discussed in five categories: experimental investigation, finite element method-based numerical models, physics-based analytical models, in-situ control using artificial intelligence (AI) and machine learning (ML) methods and statistical approaches. A comparison is also prepared among these strategies based on their suitability and limitations. Additionally, improvements in MPBF printers are pointed out to enhance the part quality. Findings Analytical models require less computational time to simulate the MPBF process and need a smaller number of experiments to confirm the results. They can be used as an efficient process parameter planning tool to print metal parts for noncritical applications. The AI-ML based quality control is also suitable for MPBF processes as it can control many processing parameters that may affect the quality of the MPBF part. Moreover, capabilities of MPBF printers like thinner layer thickness, smaller beam diameter, multiple lasers and high build temperature range can help in quality control. Research limitations/implications This study converts the piecemeal data on MPBF part qualification methods into interesting information and presents it in tabular form under each strategy. This tabular information provides the basis for further quality improvement efforts in the MPBF process. Originality/value This study references researchers and practitioners on recent quality control efforts and their significant findings for a better quality of MPBF part.

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