Applications of sustainable techniques in machinability improvement of superalloys: a comprehensive review

Sinha, Manoj Kumar; Pal, Ashutosh; Kishore, Kamal; Singh, Àmarjit; Archana, .; Sansanwal, Hitesh; Sharma, Pankaj

doi:10.1007/s12008-022-01053-2

Cited by 12 publications

(4 citation statements)

References 166 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, subjecting the alloy to high-temperature tests would serve as a means of substantiating its thermal stability. The microstructure observed using microscopy in the experimental setting will be compared to the microstructure predicted by the model in order to verify their congruence [42]- [45].…”

Section: Methodsmentioning

confidence: 99%

Advances in Design and Development of High-Performance Super Alloys for Extreme Environments

Swathi,

Varasree,

Kumari

et al. 2023

E3S Web Conf.

View full text Add to dashboard Cite

This study centres on the current progressions in the domain of superalloy design and development, with a particular emphasis on their customization to endure the demanding conditions of highly challenging settings. The manuscript emphasises the importance of superalloys in diverse sectors, including aerospace, energy, and manufacturing, where materials are exposed to elevated temperatures and corrosive environments. The primary aims of this research encompass the investigation of innovative alloy compositions, techniques for microstructural engineering, and advanced methods of processing. The objective is to augment the mechanical strength, creep resistance, corrosion resistance, and overall durability of superalloys under circumstances of severe exposure. The manuscript emphasises the intricate nature of the problems encountered in this endeavour, highlighting the need of striking a balance between different material qualities in order to get the most favourable performance. In addition, the manuscript provides a concise overview of the paper’s methodology, which involves the use of sophisticated tools for characterising materials, computer modelling, and experimental verification. The potential of these novel high-performance superalloys to bring about a paradigm shift in industries that heavily rely on materials with the ability to endure severe circumstances is considerable. Superalloys offer enhanced qualities that can be advantageous in many applications, including as aerospace components, gas turbines, and petrochemical equipment.

show abstract

Section: Methodsmentioning

confidence: 99%

Advances in Design and Development of High-Performance Super Alloys for Extreme Environments

Swathi,

Varasree,

Kumari

et al. 2023

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…The most commonly measured mechanical characteristics of machined subsurface parts include microhardness, residual stress magnitude, and the microstructure of the machined material. These characteristics are also used to evaluate the mechanical properties of the workpiece subsurface layers of hard-to-machine metals and alloys subjected to milling [18]. Dai et al [19] studied the hardening process of machined subsurface layers from the Inconel 718 workpiece.…”

Section: Brief Description Of the State Of The Art On The Determinati...mentioning

confidence: 99%

Generation of Mechanical Characteristics in Workpiece Subsurface Layers through Milling

Storchak,

Hlembotska,

Melnyk

2024

Materials

View full text Add to dashboard Cite

The generation of mechanical characteristics in workpiece subsurface layers as a result of the cutting process has a predominant influence on the performance properties of machined parts. The effect of the end milling process on the mechanical characteristics of the machined subsurface layers was evaluated using nondestructive methods: instrumented nanoindentation and sclerometry (scratching). In this paper, the influence of one of the common processes of materials processing by cutting—the process of end tool milling—on the generation of mechanical characteristics of workpiece machined subsurface layers is studied. The effect of the end milling process on the character of mechanical property formation was evaluated through the coincidence of the cutting process energy characteristics with the mechanical characteristics of the machined subsurface layers. The total cutting power and cutting work in the tertiary cutting zone area were used as energy characteristics of the end milling process. The modes of the end milling process are considered as the main parameters affecting these energy characteristics. The mechanical characteristics of the workpiece machined subsurface layers were the microhardness of the subsurface layers and the total work of indenter penetration, determined by instrumental nanoindentation, and the maximum depth of indenter penetration, determined by sclerometry. Titanium alloy Ti10V2Fe3Al (Ti-1023) was used as the machining material. Based on the evaluation of the coincidence of the cutting process energy characteristics with the specified mechanical characteristics of the machined subsurface layers, the milling mode effect of the studied titanium alloy, in particular the cutter feed and cutting speed, on the generated mechanical characteristics was established.

show abstract

“…Cutting fluid is employed in the mode of mist during the execution of the turning process; this has fewer negative effects compared to the flood lubrication method and with respect to dry machining, heat generated in this method is successfully minimized (2) . Manoj Kumar Sinha et al (3) reviewed literature on superalloy machining and investigated superalloy characteristics. Machining under various environmental circumstances was investigated, and it was established that tools with high hardness and strength are necessary for superalloy machining.…”

Section: Introductionmentioning

confidence: 99%

Comparative Machining Performance Analysis between Taguchi’s Method and Random Forest Model

Yugeshwar,

Prasad,

Ramana

2024

IJST

View full text Add to dashboard Cite

Objectives: To optimize the process parameters in dry turning of hardened 20MnCr5 using a PVD coated insert to minimize surface roughness and power consumption and maximize material removal rate using the Taguchi technique and machine learning model. Methods: For carrying out the experiments, an L27 orthogonal array was employed and Taguchi's means of mean method was used to find the optimal condition. ANOVA was utilized for determining the significance of factors. The Random Forest model uses an ensemble learning method where multiple decision trees are developed and then predictions are made. To boost the prediction efficiency, averages are made from these multiple decision trees and the voting method to finalize the model that needs to be used for the prediction. Finally, experimental and predicted values are compared using statistical metrics to determine the model's effectiveness. Findings: From experimental data at 80 m/min, 0.2 mm/rev, 0.5 mm and 120 m/min, 0.05 mm/rev, 0.25 mm and 100 m/min, 0.2 mm/rev, 0.1 mm are the optimal conditions found for material removal rate, surface roughness and power consumption respectively. Feed was the most influential factor, with a percentage contribution of 90.98%, 46.86% and 87.053% for surface roughness, material removal rate and power consumption respectively. The developed random forest models had an accuracy of 91.057%, 96.546% and 96.0122% for surface roughness, power consumption and material removal rate respectively, and they had less mean absolute errors. Novelty: Alloy steels are used to manufacture components that need to resist wear and plastic deformation, so it's important to know how hardened material behaves under dry turning operations as the world is focusing on green manufacturing. Moreover, the experimental approach is time-consuming and costly, so a machine learning model was developed based on the available experimental data to predict the output responses for additional inputs.

show abstract

Applications of sustainable techniques in machinability improvement of superalloys: a comprehensive review

Cited by 12 publications

References 166 publications

Advances in Design and Development of High-Performance Super Alloys for Extreme Environments

Advances in Design and Development of High-Performance Super Alloys for Extreme Environments

Generation of Mechanical Characteristics in Workpiece Subsurface Layers through Milling

Comparative Machining Performance Analysis between Taguchi’s Method and Random Forest Model

Contact Info

Product

Resources

About