Heat transfer model for quenching by submerging

Passarella, Diego N.; Varas, F.; Martín, Elena

doi:10.1088/1742-6596/296/1/012004

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…Recent work has shown that the use of a multi-physics approach has the ability to predict the heat transfer coefficients for more complicated geometries 18 . The analysis published is for a two dimensional geometry, but this may be sufficient initially to develop an understanding of how the time transient heat transfer coefficient varies.…”

Section: Discussionmentioning

confidence: 99%

“…Recent work has shown that the use of a multi-physics approach has the ability to predict the heat transfer coefficients for more complicated geometries. 18 The analysis published is for a two-dimensional geometry, but this may be sufficient initially to develop an understanding of how the time transient heat transfer coefficient varies. It should also allow the development of models to predict distortion when using industrial quenchants, such as polyalkylene glycol (PAG) and high-temperature water.…”

Section: Discussionmentioning

confidence: 99%

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Time transient validation of residual stress prediction models for aluminium alloy quenching

Tanner

Robinson

2016

Materials Science and Technology

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Finite element models that predict residual stress states in relatively large quenched aluminium alloy products tend to give reliable results. However, even though there is confidence that the predicted stress state is correct, there is no validation indicating that the stress / displacement development during the quench is comparable to the experimental case. Combined with this, finite element predictions for small samples tend to underestimate surface stress. This paper uses a "Navy C-ring" benchmark design to monitor displacement during quenching. The heat transfer coefficient is found to be the most dominant boundary condition and is critical to ensuring displacement and residual stress predictions that match the experimental case.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Time transient validation of residual stress prediction models for aluminium alloy quenching

Tanner

Robinson

2016

Materials Science and Technology

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“…DAC tool steel is hot working tool steel with good balance of strength, toughness and heat resistance. This material has good machinability, by applied quenching treatment this material become tougher and increasing surface hardness [6]. This treatment make life cycle of dies became longer and stable.…”

Section: Introductionmentioning

confidence: 99%

Optimization Multi Response on Electrical Discharge Machining Sinking Process Using Taguchi-Grey-Fuzzy Methods

Bisono

Yusron

2020

ijseit

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Electronic Discharge Machining (EDM) sinking applied widely in advance material manufacturing, every process parameter will count on this company. Their performance evaluated by some parameters such as surface roughness and tool wear ratio. Then they will be a dependent variable on this research. Independent variables on this research are electrode polarization, gap voltage, duty factor and pulse current. Every variable has three levels, except electrode polarization has two levels. This research conducting using Taguchi matrix orthogonal L18 (21×33) methods. The aim of this experiment is to evaluate optimization parameter process on EDM sinking, using Taguchi-Grey-Fuzzy methods. Characteristics response optimal applied are ‘smaller better’ for surface response roughness and tool wear ratio. This research using DAC tool steel as work-piece. DAC is most widely used as die for aluminum and zinc die-casting. The aim of this research is finding contribution of variable in EDM sinking parameter. Result of this research show contribution from variable process to reduce variance total observed response simultaneously, in order are electrode polarization on 49,53%, gap voltage on 23,52%, duty factor on 5,45% and pulse current on 9,92%. From validated optimization in confirmation experiment, to conclude combination variable process optimal response value is electrode polarization on positive, gap voltage at 50V, duty factor at 0.5 and pulse current at 12A.

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Simulation of Residual Stress and Deformation in Quenched C39 Steel under Controlled Immersion Speed

Olabamiji,

Adedayo,

Ikubanni

et al. 2024

2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG)

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Heat transfer model for quenching by submerging

Cited by 3 publications

References 18 publications

Time transient validation of residual stress prediction models for aluminium alloy quenching

Time transient validation of residual stress prediction models for aluminium alloy quenching

Optimization Multi Response on Electrical Discharge Machining Sinking Process Using Taguchi-Grey-Fuzzy Methods

Simulation of Residual Stress and Deformation in Quenched C39 Steel under Controlled Immersion Speed

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