Investigation of Squeeze Cast Process Parameters Effects on Secondary Dendrite Arm Spacing Using Statistical Regression and Artificial Neural Network Models

Patel, G C Manjunath; Mathew, Robins; Krishna, Pravin; Parappagoudar, Mahesh B.

doi:10.1016/j.protcy.2014.08.020

Cited by 24 publications

(9 citation statements)

References 13 publications

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“…There is also evidence that pressure changes can quantifiably change growth behaviour [6,7,[14][15][16][17]. Ghomashchi and Vikhrov [9] made a review on squeeze casting that squeeze-casted products have superior mechanical properties compared with their conventionally cast counterparts, owing to their higher density, finer grain size, and more homogenous microstructure.…”

Section: Introductionmentioning

confidence: 99%

Phase-field modelling on effect of pressure on growth kinetics of Mg–Al–Sn alloy

Shang

Zhou

Luo

2018

Materials Science and Technology

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The effects of pressure on dendritic growth kinetics of Mg–Al–Sn alloy were investigated using a ternary phase-field model coupled with thermodynamics with pressure effects and experiments. The results showed that the improved growth velocity and nucleation rate caused by pressure had the opposite effects on grain size. For one-grain growth, the dendrite was larger and more developed under pressure of 85 MPa than that under ambient pressure owing to larger thermodynamic driving force, and thus higher growth velocity. However, when nucleation was considered in multigrain growth case, the average grain size under pressure was smaller owing to less growth space. Growth velocity decreased with the increase in Sn content, on which pressure had no great influence.

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Section: Introductionmentioning

confidence: 99%

Phase-field modelling on effect of pressure on growth kinetics of Mg–Al–Sn alloy

Shang

Zhou

Luo

2018

Materials Science and Technology

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“…However, dendrites were not found which must be available in the cast aluminum alloys. But, on contrary, the dendrites were found in the LM20 alloy after processing through squeeze casting [13]. Fig.…”

Section: Resultsmentioning

confidence: 91%

Study of the Mechanical Behavior of LM20 Alloy at Various Temperatures Processed By Die Casting

Mashamba¹,

Avvari²

2015

Third International Conference on Advances in Mechanical and Robotics Engineering- AMRE 2015

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Abstract-Now a day's in the current domain, manufacturing industries are competing to reduce the cost and fuel consumption rates. Especially, in automobile and aerospace applications because of the improvement of lightweight metal advantages. Magnesium, aluminum and other few materials are considered as lightweight materials to use in required applications due to their inherent properties. Therefore, in this paper tried to characterize the advances of LM20 aluminum alloy rods by using the die-casting processes at various processing temperatures followed by room temperature, 373 K, and 473 K. The main aim is to study the effect of various processing temperature on microstructures and mechanical properties of LM20 alloy. Also, this paper reveals the stability of the microstructures of LM20 aluminum alloy though the processing temperature has been increased. The tensile strength, hardness of the LM20 aluminum alloy was decreased with increase in processing temperature. Similarly, the wear, and surface roughness tests were performed on the LM20 alloy rods to understand the effect at various processing temperature.

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“…The purpose of these techniques is to optimize the input variables in order to achieve the desired response value. Techniques which were generally employed for the analysis and optimization include Taguchi method [41], factorial design [42], central composite design [43], Box-Bhenken design [2], genetic algorithm [44], artificial neural network [45], and Fuzzy logic [46]. Among these techniques, Fuzzy logic, genetic algorithm, and artificial neural network are considered as soft computing techniques while factorial design, Taguchi method, central composite design, and Box-Bhenken design are termed as statistical techniques.…”

Section: Squeezed Overcast Billetsmentioning

confidence: 99%

Mechanical characterization of aged AA2026-AA2026 overcast joints fabricated by squeeze casting

Ali

Ishfaq

Raza

et al. 2020

Int J Adv Manuf Technol

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Squeeze overcasting has emerged as an attractive option for casting of Al alloys in terms of mechanical properties. The attainment of the desired magnitude of these properties is challenging in overcasting due to the involvement of a number of process parameters. In this study, the effects of insert preheat temperature (T I) along with pouring temperature (T P), and squeeze pressure (P S) on the mechanical properties of squeeze overcast AA2026-AA2026 joint were investigated. Experimental results revealed that the squeeze pressure is the most prominent factor affecting the ultimate tensile strength (UTS) while micro-hardness (MH) is significantly influenced by the pouring temperature. Maximum values of UTS (315 MPa) and MH (130 HV) were achieved at a P S of 120 MPa, T P of 780°C, and T I of 250°C. Energy dispersive X-ray (EDX) analysis witnessed that T I has also a significant role in determining the quality of bond between the substrate and the melt. Scanning electron microscopy (SEM) depicts that the morphology of the fractured surface has a sound influence on both selected responses. Both the strength and hardness are noticed better if the fractured surface possesses the flat-faced morphology. Furthermore, an empirical regression model was developed using response surface methodology (RSM) design and validated through eight confirmatory experiments. RSM integrated multi-objective optimization genetic algorithm (MO-GA) was deployed to optimize the UTS and MH. The comparative results obtained from RSM and MO-GA demonstrated that the deviation in experimental and predicted values is less than 5%.

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Investigation of Squeeze Cast Process Parameters Effects on Secondary Dendrite Arm Spacing Using Statistical Regression and Artificial Neural Network Models

Cited by 24 publications

References 13 publications

Phase-field modelling on effect of pressure on growth kinetics of Mg–Al–Sn alloy

Phase-field modelling on effect of pressure on growth kinetics of Mg–Al–Sn alloy

Study of the Mechanical Behavior of LM20 Alloy at Various Temperatures Processed By Die Casting

Mechanical characterization of aged AA2026-AA2026 overcast joints fabricated by squeeze casting

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