Physical simulation of investment casting for GTD-222 Ni-based superalloy processed by controlled cooling rates

Yu, Jiangping; Wang, Donghong; Li, Dayong; Ding, Tao; Zhu, Guoliang; Dong, Anping; Shu, Da; Peng, Yinghong

doi:10.1007/s00170-019-04616-y

Cited by 4 publications

(4 citation statements)

References 29 publications

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“…Simulation studies: any study in which simulations were performed in order to reproduce or simulate different casting features, grain structures, skin formation, like the progression of S/L interface, shape of liquidus isotherm, etc. [2,8,36,37,41,42,54,56,[60][61][62][63][64][65][66][67][68] 2 Prediction studies: any study in which various methods were used for predicting the features of the cast specimens like pore size, freckle formation, grain structure, grain size, and fatigue life [9,17,20,28,37,41,43,58,69] 3 Conventional investment casting (Bridgman furnace): any study that focuses on the conventional casting process where a Bridgman furnace is used [16,[44][45][46]70] 4 LMC process: any study in which LMC process was used or was talked about in depth [1,30,35,36,71] Advances in Materials Science and Engineering HRS process: any study in which HRS process was used or was talked about in depth [8,30,36,71] 6…”

Section: Research Areamentioning

confidence: 99%

“…Casting process conditions/ parameters: any study that talks in depth about the effects of using different casting conditions or parameters [30,31,34,44,49,80,87] 39…”

Section: Research Areamentioning

confidence: 99%

“…e various trends about residual stress are depicted graphically in Figures 20 and 21. Another study [30] focuses on how casting castings' cooling rate can affect process parameters and the final product. To establish a relationship between solidification and microstructure, an experimental high-efficiency method was developed in this study, which helped accelerate the speed to find the optimum casting parameters by using controlled cooling rates.…”

Section: Research Areamentioning

confidence: 99%

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Recent Advancements in the Field of Ni‐Based Superalloys

Selvaraj

Sundaramali

Dev

et al. 2021

Advances in Materials Science and Engineering

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In this review article, research papers related to recent developments in Ni-superalloy technologies have been reviewed in order to provide an insight into recent achievements and the potential for further study, research, and development in this field. In this paper, studies on various aspects of Ni-based superalloys are reviewed, such as production methods, which include widely used casting methods, as well as unconventional alternative procedures, novel techniques, or simulation and prediction of certain alloy casting properties. Reviewing was done by categorising the papers into 4 major categories: manufacturing of Ni-based superalloys, effects of alloying elements, physical and mechanical properties of Ni-based superalloys, and defects in Ni-based superalloys. The process used to make Ni-superalloy parts can have a huge impact on the production process efficiency, the final product’s quality and properties, and the defects formed in it. Investment casting is one of the most common methods for making Ni-superalloy parts. Manufacturing covers studies on various casting methods used to make Ni-based superalloy components, novel techniques and methods developed to improve casting procedures to produce better products, and alternative manufacturing methods like AM and HIP processing. Similar to production process, the role of alloying elements is also very important. Even minor changes in their compositions can cause significant changes in the final product. Simultaneously, these alloying elements appear to be more efficient in the development of new methods to control product quality, suppress defect formation, and improve material properties such as the creep and fatigue. As a result, the effects of various alloying elements used in castings of Ni-based superalloys are thoroughly examined. A material’s properties are its most important components. They assist the industrialist in selecting or developing a material based on the needs of the application/use. With this in mind, many researchers have conducted extensive research on physical and mechanical properties, as well as how to improve them. Fatigue life, stress rupture, creep properties, impact ductility, strain response, stress relaxation behaviour, and so on are some of the most important physical and mechanical properties of Ni-superalloys. This article thoroughly reviews various studies on these properties, how and by what factors they are affected, and how they can be improved. Another important factor to consider when making Ni-superalloy castings is defect formation, which can affect the properties of the final product. Freckle defects, hot tears, porosities, and slivers are some of the major defects that occur in Ni-superalloys during the casting process. This article also reviews in detail about these defects, how they form, and how they affect the final product. These defects were found to have a significant influence on a variety of properties, such as creep, fatigue behaviour, and fracture mechanism. Topics and areas such as reinforcement of Ni-superalloys with the help of CNCs and 3D printing of Ni-superalloys that can provide scope for potential future research are highlighted based on the above-reviewed papers.

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Section: Research Areamentioning

confidence: 99%

“…Casting process conditions/ parameters: any study that talks in depth about the effects of using different casting conditions or parameters [30,31,34,44,49,80,87] 39…”

Section: Research Areamentioning

confidence: 99%

Section: Research Areamentioning

confidence: 99%

See 1 more Smart Citation

Recent Advancements in the Field of Ni‐Based Superalloys

Selvaraj

Sundaramali

Dev

et al. 2021

Advances in Materials Science and Engineering

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“…In recent 20 years, simulation technology in investment casting has greatly helped to shorten the casting time. Using ProCAST and other software to simulate the casting process can verify whether the setting of riser and pouring process parameters are reasonable to use the best investment casting process to produce quali ed castings [8, [25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation and Rapid Centrifugal Casting of Large Complex Thin-Walled Titanium Alloy Intermediate Casing Based on 3D Printed Pattern

Li¹,

Wang²,

Zhang³

et al. 2021

Preprint

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Titanium alloy intermediate casing is a typical large casting, with many thin-walled and complex structures. It is a high cost and time-consuming process in the trial stage to manufacturing the wax pattern of the intermediate casing by metal mold. Rapid investment casting based on 3D printed patterns is the development direction of casting technology which integrates digitization and intelligence. In this study, selective laser sintering (SLS) technology was used to realize the rapid prototyping of polystyrene pattern in the precision casting of intermediate casing. A numerical simulation method was used to predict the filling process, solidification and casting defects of the intermediate casing. The simulation results show that the gating system for the casting of intermediate casting was reasonable, the number and size of gating risers met the open design requirements, and a sequential solidification of the casting could be realized. The titanium alloy intermediate casing with excellent metallurgical quality and size accuracy CT7 was successfully produced using centrifugal rapid casting technology.

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Input–Output Modeling and Multi-objective Optimization of Weld Attributes in EBW

Das

Jaypuria

et al. 2021

Arab J Sci Eng

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Physical simulation of investment casting for GTD-222 Ni-based superalloy processed by controlled cooling rates

Cited by 4 publications

References 29 publications

Recent Advancements in the Field of Ni‐Based Superalloys

Recent Advancements in the Field of Ni‐Based Superalloys

Numerical Simulation and Rapid Centrifugal Casting of Large Complex Thin-Walled Titanium Alloy Intermediate Casing Based on 3D Printed Pattern

Input–Output Modeling and Multi-objective Optimization of Weld Attributes in EBW

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