Hot deformation characteristics and microstructure evolution of Hastelloy C-276

Jaladurgam, Nitesh Raj; Kanjarla, Anand K.

doi:10.1016/j.msea.2017.11.056

Cited by 67 publications

(17 citation statements)

References 47 publications

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“…The conducted quantitative analyses of SEM micrographs (Figs. 10,11,12,13,14 and 15) point to the considerable influence of doping GF in the form of demineralized water with powdered MoS 2 and graphite (with a concentration of 30 g/dm 3 ), delivering it in an aerosol form of with a minimum flow rate (Q GF = 1080 ml/h), on the intensity of clogging the GWAS with machined material chips. It can be therefore surmised that particles of solid grease effectively reached the area of contact between the BWAS and the…”

Section: Assessment Of State Of Gwas Clogging Of Workpiece Materialsmentioning

confidence: 99%

Experimental studies using minimum quantity cooling (MQC) with molybdenum disulfide and graphite-based microfluids in grinding of Inconel® alloy 718

Wojtewicz

Nadolny

Kapłonek

et al. 2018

Int J Adv Manuf Technol

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In the paper, the results of experimental studies related with determination of the influence of the supply of a grinding fluid (GF) doped with powdered graphite and MoS 2 into the machining zone with the minimum quantity cooling (MQC) method on the course and results of the reciprocating internal cylindrical grinding of rings made from Inconel® alloy 718 have been presented. As a grinding fluid, water aerosols were used. The aerosols delivered the following into the grinding zone: water slurry MoS 2 with a concentration of 30 g/dm 3 , water slurry of graphite with a concentration of 30 g/dm 3 , 5% water solution of Syntilo RHS oil and pure demineralized water. The obtained results of carried out experiments showed that the most favorable conditions of grinding wheel operation were obtained when MQC-based delivering an aerosol of water slurry made from demineralized water doped with MoS 2 and graphite with a minimum flow rate and when delivering an aerosol of 5% water slurry of Syntilo RHS oil. It was proved that doping GF with powdered MoS 2 and graphite, with delivery in the form of an aerosol with a minimum flow rate, has a substantial influence on the intensity of clogging grinding wheel active surface (GWAS). Additionally, it has been demonstrated that the solid grease MoS 2 and graphite particles reached the area of contact of the GWAS and the machined surface effectively, actively influencing its tribological conditions of the grinding process.

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Section: Assessment Of State Of Gwas Clogging Of Workpiece Materialsmentioning

confidence: 99%

Experimental studies using minimum quantity cooling (MQC) with molybdenum disulfide and graphite-based microfluids in grinding of Inconel® alloy 718

Wojtewicz

Nadolny

Kapłonek

et al. 2018

Int J Adv Manuf Technol

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“…During hot deformation, the power can be partitioned by the strain rate sensitivity (m) into two parts: (1) the power corresponding to the deformation heat and (2) the microstructural evolutions. The characteristics of the power dissipation occurring through microstructural changes during deformation can be expressed by the efficiency of power dissipation (η), shown as [33]:…”

Section: Processing Mapmentioning

confidence: 99%

“…The power dissipation map is formed by the variation of η at different deformation temperatures and strain rates, which determine the characteristic areas of damage processes and various hot deformations. In addition, based on an instability equation, an instable map can be received by a dimensionless instability parameter, which was given by Ziegler's criteria [33]: Figure 5 shows the processing map of the (CoCrFe MnNi) 95 C 5 (at.%) HEA obtained at a true strain 0.65 (steady state). At the top corner, the flow instability appears at a strain rate higher than 10 −2.4 s −1 , with a temperature range of 800-1000°C (Domain 1, high Z area).…”

Section: Processing Mapmentioning

confidence: 99%

Hot Deformation Behavior and Hardness of a CoCrFeMnNi High-Entropy Alloy with High Content of Carbon

Wang

Xin

et al. 2019

Acta Metall. Sin. (Engl. Lett.)

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A CoCrFeMnNi high-entropy alloy with a high content of carbon was synthesized, and its hot deformation behavior was studied at the temperatures 800-1000 °C at the strain rates ranging from 0.001 to 0.1 s −1. As-prepared alloy is a face-centered cubic-structured solid solution, with a large amount of carbides residing at grain boundaries. True stress-strain curves were employed to develop the constitutive equation of apparent activation energy. The apparent activation energy (Q) was found to be 423 kJ mol −1 , indicating a dynamic flow softening behavior. The size of dynamic recrystallized (DRXed) grains increases with increasing the temperature or decreasing the strain rate. A processing map was sketched on the basis of the flow stress. The temperature range of 900-1000 °C and 10 −3-10 −2.6 s −1 strain rate were found to be the optimum hot-forging parameter. With increasing temperature or decreasing strain rate, the volume fraction of fine carbides (≤ 1 μm) increases. A lot of coarse carbides can be found in the matrix after deformation at 800 °C, which leads to a high hardness value of 345 HV. The carbides after deformation at 1000 °C are mainly nano-sized M 7 C 3 and M 23 C 6 , which can promote the nucleation of DRX.

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“…With the great progress in the development of constitutive relationship, it primarily consists of the phenomenological, physically based and artificial neural network models [5]. Without special considerations on the essential physical process, the Arrhenius type model was successfully used to describe the relationships between the mechanical properties and hot working conditions mathematically [6]- [8]. In particular, Wu et al [9] proposed that the constitutive equation can be established to understand the thermal deformation mechanism and thus optimizing the thermal processing parameters and leading to improved thermal processing properties of steels.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study on Arrhenius Equations and BP Neural Network Models to Predict Hot Deformation Behaviors of a Hypereutectoid Steel

et al. 2020

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In order to predict the high-temperature deformation behavior of hypereutectoid steel, the hot compression tests were conducted in the strain rate range of (0.001∼1) s −1 and the deformation temperature range of (950∼1100) • C. The experimental data were employed to develop the Arrhenius constitutive model and BP neural network model, and their predictability for high temperature flow stress of hypereutectoid steel was further evaluated. Comparatively, a higher correlation coefficient (R) can be obtained for the BP neural network model compared with the Arrhenius constitutive equations. And the relative error within ±1% was more than 68.75% for the BP neural network model, while only 18.75% for the constitutive equations. The BP neural network model is considered more efficient and accurate to predict the hot deformation behavior than the Arrhenius constitutive equations. Moreover, the well-trained BP neural network model is employed to predict the flow stress varying with the deformation temperature and strain rate. The flow stress decreases with the increasing deformation temperature and decreasing strain rate, which is in accordance with the experimental evaluation. The results indicate that BP neural network model is an efficient tool for modelling and predicting the flow behavior of hypereutectoid steels in high temperature applications.INDEX TERMS Hypereutectoid steel, hot deformation behavior, Arrhenius equations, BP neural network models.

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Hot deformation characteristics and microstructure evolution of Hastelloy C-276

Cited by 67 publications

References 47 publications

Experimental studies using minimum quantity cooling (MQC) with molybdenum disulfide and graphite-based microfluids in grinding of Inconel® alloy 718

Experimental studies using minimum quantity cooling (MQC) with molybdenum disulfide and graphite-based microfluids in grinding of Inconel® alloy 718

Hot Deformation Behavior and Hardness of a CoCrFeMnNi High-Entropy Alloy with High Content of Carbon

A Comparative Study on Arrhenius Equations and BP Neural Network Models to Predict Hot Deformation Behaviors of a Hypereutectoid Steel

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