Improvement of Quench Factor Analysis in Phase and Hardness Prediction of a Quenched Steel

Kianezhad, M.; Sajjadi, Seyed Abdolkarim

doi:10.1007/s11661-012-1574-x

Cited by 14 publications

(4 citation statements)

References 22 publications

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“…The results of the quenching factor analysis (QFA) method were applied to predict the hardness of some quenched parts [68,69], but its accuracy decreased with the decrease in hardness. Sajjadi et al [70] modified the QFA method to predict the hardness of CK60 steel after austenitizing and quenching at 830 • C, and the results showed that the accuracy was significantly improved. Kianezhad et al [71] utilized the neural network method (ANN) to predict the properties of quenched steel in one step.…”

Section: Simulation Of Mechanical Properties Of Workpiecesmentioning

confidence: 99%

Development and Prospect of Vacuum High-Pressure Gas Quenching Technology

Hu,

Zhu,

Zhang

et al. 2023

Materials

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As industrial modernization surges forward, the heat treatment industry strives for lower pollution, reduced oxidation and defects, minimized waste, and automatization. This paper reviews the mechanisms, processes, equipment, and simulations of the vacuum gas quenching technology, presenting a comprehensive account of the structure and working principle of a typical vacuum gas quenching furnace. Firstly, the mechanism of the heat transfer process, flow process, and flow–heat transfer–phase transition coupling were summarized. Then, the influences of process parameters on the mechanical properties and distortion of vacuum gas quenched workpieces, as well as the process optimization methods, were discussed. Finally, the advantages of vacuum gas quenching in energy saving, low pollution, and high efficiency were introduced, with the future development directions figured out.

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Section: Simulation Of Mechanical Properties Of Workpiecesmentioning

confidence: 99%

Development and Prospect of Vacuum High-Pressure Gas Quenching Technology

Hu,

Zhu,

Zhang

et al. 2023

Materials

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“…(14) Other related studies on the quenching and tempering of different steels have also been reported. (15)(16)(17)(18)(19)(20)(21) From the past research, it is known that many factors in the heat treatment affect the properties of steel wires after heat treatment. For instance, the wire diameter, wire weight, heating temperature, heating time, and cooling rate in the heat treatment could all affect the properties.…”

Section: Literature Reviewmentioning

confidence: 99%

Estimation of Screw’s Physical Properties Using Neural Network

Lu¹,

Huang²,

Wu³

et al. 2021

Sensors and Materials

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In this paper, the estimation of a screw's physical properties using a neural network (NN) technique is presented. The aim of this research is to study the effects of various control parameters of heat treatment and spheroidization on the physical properties of an alloy steel wire in its manufacturing process. The NN model is used to analyze the data collected by the image sensor and temperature sensor for heating treatments of alloy steel wire. It is expected that an advanced screw manufacturing system with intelligent analysis ability can be developed. Then, this smart system will be able to provide the optimal control parameters in real time to produce an alloy steel wire with ideal physical properties so that high-quality screws can be produced in the later manufacturing process. The results of this study show that the NN model can indeed achieve a fairly accurate estimation of the physical properties of a steel wire after the spheroidization, quenching, and tempering heat treatments. This shows that the development of an artificial-intelligence-based screw process optimization mechanism is very feasible.

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“…An effective method for prediction of mechanical properties is the quenching factor analysis (QFA) which is developed by Evancho and Staley in the 1974 to predict the effect of cooling curve or rate on the yield strength and hardness of aluminum alloy [2]. Recently, QFA has been widely used to predict the hardness of steels according to AISI-4130, 1045 and 4140 [3,4]. Their investigations showed that QFA provided a good agreement between predicted and measured hardness in the welding and heat treating process.…”

Section: Introductionmentioning

confidence: 99%

Hardness Prediction of Tailor Rolled Blank in Hot Press Forming Using Quench Factor Analysis

Kim

2017

KEM

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This paper aims to predict the hardness of hot formed part for tailor rolled blank (TRB) by the FE-simulation coupled with quenching factor analysis (QFA). Dilatometry test of boron steel is performed at various range of cooling rates from 0.2 to 100°C/s using the dilatometer with forced air cooling system. The dilatometry test provides a hardness data according to cooling curves which are used to determine the material constants (K1~K5) of QFA and the time‒temperature‒property (TTP) diagram of boron steel. Then, FE‒simulation of hot press forming is conducted to predict the cooling curves of hot formed TRB part with a thickness combination of thicker 1.6mm and thinner 1.2mm which is called as rear side member of automotive component. The cooling curves of FE-simulation are applied to predict the hardness of hot formed rear side member using the QFA. Also, experiment of hot press forming is performed to verify the predicted results and to examine the effect of cooling curves on the hardness.

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Improvement of Quench Factor Analysis in Phase and Hardness Prediction of a Quenched Steel

Cited by 14 publications

References 22 publications

Development and Prospect of Vacuum High-Pressure Gas Quenching Technology

Development and Prospect of Vacuum High-Pressure Gas Quenching Technology

Estimation of Screw’s Physical Properties Using Neural Network

Hardness Prediction of Tailor Rolled Blank in Hot Press Forming Using Quench Factor Analysis

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