Machinability investigation of Incoloy 825 in high-speed turning under dry conditions

Çağan, Süleyman Çınar; Buldum, Berat Barış

doi:10.1590/s1517-707620210004.1366

Cited by 4 publications

(2 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The eigenvalues, denoted as , j were estimated using PCA in the statistical software Minitab LLC ® 2023 with the aid of the governing equations (7)- (10). The outcomes are presented in table 13 together with the scree plot in figure 10.…”

Section: Multiple Response Optimisationmentioning

confidence: 99%

See 1 more Smart Citation

Multi-response optimisation of wire-arc additive manufacturing process parameters for AISI 4130 steel during remanufacturing process

Kachomba,

Mutua,

Obiko

et al. 2024

Mater. Res. Express

View full text Add to dashboard Cite

Wire-arc additive manufacturing (WAAM) has emerged as a critical tool for remanufacturing industrial components. A limited understanding of this technique for quality product manufacturing has hindered its utilisation for industrial applications. This study reports on the optimisation of WAAM process parameters for AISI 4130 steel towards remanufacturing of high-quality products for industrial applications. AISI 4130 steel was selected for this study due to its high strength-to-weight ratio, excellent weldability, and suitability for the WAAM process. Taguchi’s Grey Relational Analysis (GRA) used four factors and three levels in the multiple response optimisation process. The study considered process parameters voltage, current, travel speed and gas flow in the gas metal arc welding (GMAW)-based WAAM technique. Analysis of Variance (ANOVA) results show that voltage, travel speed and gas flow significantly affect material deposition. Voltage had the highest significance (31.61%) compared to other parameters. The optimised process parameters were found to be: voltage - 23V, current - 100A, travel speed - 350mm/min, and gas flow - 10L/min. These parameters resulted in tensile residual stresses of 25 ±74 MPa, microhardness of 171.4±12.2 HV0.3, and a relative density of 98.21%. The microstructural analysis reveals existence of predominant ferritic and pearlitic colonies. This is due to compounded thermal stresses during the deposition process and alloy composition resulting in tailored microstructure and mechanical properties. The study provides some insights into the WAAM remanufacturing process for producing highly quality industrial components.

show abstract

Section: Multiple Response Optimisationmentioning

confidence: 99%

“…Conventional manufacturing procedures are time-consuming and expensive [6]. These demands the experience of the engineers and designers to influence the product quality [7][8][9][10]. Time and high production costs of conventional methods have a notable negative impact on the efficiency of repairing broken parts.…”

Section: Introductionmentioning

confidence: 99%

Multi-response optimisation of wire-arc additive manufacturing process parameters for AISI 4130 steel during remanufacturing process

Kachomba,

Mutua,

Obiko

et al. 2024

Mater. Res. Express

View full text Add to dashboard Cite

show abstract

Characterization and machine learning-based parameter estimation in MQL machining of a superalloy for developed green nano-metalworking fluids

Vardhanapu

Chaganti

Tarigopula

2023

J Braz. Soc. Mech. Sci. Eng.

View full text Add to dashboard Cite

A hybrid approach for the machinability analysis of Incoloy 825 using the entropy-MOORA method

Sahu,

Shekhar,

Khan

et al. 2024

High Temperature Materials and Processes

View full text Add to dashboard Cite

With its exceptional qualities, Incoloy 825 is highly valued in a range of industries, including nuclear power plants, petrochemical plants, and chemical industries. Nevertheless, the unique combination of these properties presents a formidable challenge when it comes to machining Incoloy 825. Its low heat conductivity, rapid strain hardening, strong chemical affinity, and the presence of hard and abrasive particles in its microstructure all contribute to the difficulty. The objective of this study is to examine important factors related to the machinability of Incoloy 825. To achieve this, a hybrid tool called entropy coupled with MOORA will be used to determine the optimal cutting conditions. In order to achieve this, three specific input parameters were chosen: the spindle speed, feed rate, and depth of cut. Meanwhile, the major outcomes taken into account were the cutting force, cutting temperature, material removal rate, roughness of the machined surface, and flank wear. The experiments were conducted using Taguchi’s L27 orthogonal array, following the principles of experimental design. The findings indicate that the proposed hybrid approach is capable of accurately determining the best combination of parameters for cutting the chosen work material and can be employed in structural applications. For turning Incoloy 825, the optimal parametric setting was determined to be a spindle speed of 1,285 rpm, a feed rate of 0.0625 mm·rev−1, and a depth of cut of 0.3 mm.

show abstract

Machinability investigation of Incoloy 825 in high-speed turning under dry conditions

Cited by 4 publications

References 40 publications

Multi-response optimisation of wire-arc additive manufacturing process parameters for AISI 4130 steel during remanufacturing process

Multi-response optimisation of wire-arc additive manufacturing process parameters for AISI 4130 steel during remanufacturing process

Characterization and machine learning-based parameter estimation in MQL machining of a superalloy for developed green nano-metalworking fluids

A hybrid approach for the machinability analysis of Incoloy 825 using the entropy-MOORA method

Contact Info

Product

Resources

About