Research on Gradient Heat Treatment of Dual-Property Disk for Alloy FGH96

2013 ◽  
Vol 747-748 ◽  
pp. 783-787
Author(s):  
Yu Wang ◽  
Jin Wen Zou ◽  
Guo Qing Zhang ◽  
Wu Xiang Wang
Keyword(s):  
Heat Transfer ◽  
Numerical Simulation ◽  
Heat Treatment ◽  
Transient Temperature ◽  
Heating Process ◽  
Fixture Design ◽  
Dual Property ◽  
Transient Temperature Field ◽  
Heat Treated ◽  
Treatment Experiment

The transient temperature field in the dual-property disk of alloy FGH96 was investigated during the solution heating process of the gradient heat treatment by numerical simulation. The temperature curves for the different locations of the disk were attained. Then, the gradient heat treatment experiment was carried out, and the heat profiles were obtained. The numerical and the experimental results were almost consistent. The method of heat transfer for the bore of the disk was changed evidently through effective fixture design during the gradient heat treatment. The gradient of temperature (ΔT) can reach 121 or more, which lead to a supersolvus heat treated rim and subsolvus heat treated bore for the disk.

scholarly journals A Numerical Thermal Analysis of the Heating Process of Large Size Forged Ingots

2018 ◽  
Vol 941 ◽  
pp. 2278-2283
Author(s):  
Nima Bohlooli Arkhazloo ◽  
Farzad Bazdidi-Tehrani ◽  
Morin Jean-Benoit ◽  
Mohammad Jahazi
Keyword(s):  
Heat Transfer ◽  
Heat Treatment ◽  
Conjugate Heat Transfer ◽  
Computational Cost ◽  
Three Dimensional ◽  
Temperature Evolution ◽  
Heating Process ◽  
Computational Domain ◽  
Cfd Model ◽  
Large Size

Simulation and analysis of thermal interactions during heat treatment is of great importance for accurate prediction of temperature evolution of work pieces and consequently controlling the final microstructure and mechanical properties of products. In the present study, a three-dimensional CFD model was employed to predict the heating process of large size forged ingots inside an industrial gas-fired heat treatment furnace. One-ninth section of a loaded furnace, including details such as fixing bars and high-momentum cup burners, was employed as the computational domain. The simulations were conducted using the ANSYS-FLUENT commercial CFD package. The k-ε, P-1 and Probability Density Function (PDF) in the non-premix combustion, as low computational cost numerical approaches were employed to simulate the turbulent fluid flow, thermal radiation, combustion and conjugate heat transfer inside the furnace. Temperature measurement at different locations of the forged ingot surfaces were used to validate the transient numerical simulations. Good agreement was obtained between the predictions of the CFD model and the experimental measurements, demonstrating the reliability of the proposed approach and application of the model for process optimization purposes. Detailed analysis of conjugate heat transfer together with the turbulent combustion showed that the temperature evolution of the product was significantly dependant on the furnace geometry and the severity of turbulent flow structures in the furnace.

Numerical simulation of heat transfer in loaded heat treatment furnaces

2004 ◽  
Vol 120 ◽  
pp. 545-553
Author(s):  
J. Kang ◽  
Y. K. Rong ◽  
W. Wang
Keyword(s):  
Heat Transfer ◽  
Heat Treatment ◽  
Heating Process ◽  
View Factor ◽  
Direct Integral ◽  
3 Dimensional ◽  
Prediction And Control ◽  
Heat Transfer Simulation ◽  
Transfer Problems ◽  
And Control

Heat transfer simulation within heat treatment furnaces is of great significance for the prediction and control of the ultimate microstructure, properties and dimensional stability of the workpieces and even the performance of furnaces. In this paper a set of models is proposed to solve heat transfer problems in a loaded furnace, including radiation, convection and conduction. Furthermore, a 3-dimensional algorithm based on finite difference method (FDM) is presented with a complete system for process simulation system. In the radiation module, view factor is calculated by direct integral method for all element pairs exposed to each other based on the blocking judgment. Combustion in gas-fired furnace and PID control are also included in the furnace model. The heat transfer models are integrated with furnace model to simulate the heating process of workpieces. Temperature distribution in workpiece and its variation with time are predicted by the system. An experiment is carried out for the validation of the system.

Heat Treatment, Ozarks Cherts, and Prehistoric Toolstone Use in Southwest Missouri

2014 ◽  
Vol 79 (3) ◽  
pp. 507-521 ◽  
Author(s):  
David A. Byers ◽  
Craig Picka ◽  
Jack H. Ray
Keyword(s):  
Heat Treatment ◽  
Cost Benefit ◽  
Investment Model ◽  
Manufacturing Strategy ◽  
Ample Evidence ◽  
Lithic Assemblages ◽  
Heat Treated ◽  
Treatment Experiment ◽  
The Cost ◽  
Investment Models

Burlington and Jefferson City cherts often dominate Ozarks lithic assemblages, and this record contains ample evidence for the heat treatment of both. In this paper, we use a technological investment model to understand why prehistoric knappers may have invested in heat treatment at the Big Eddy Site in southwest Missouri. Tech investment models offer one way to evaluate the cost-benefit relationships of various technologies and, consequently, the conditions under which a manufacturing strategy might be adopted. We conduct a heat treatment experiment to measure the untreated utilities of the two materials, the approximate time needed to heat each, and the resultant gains in utility a knapper acquires by spending the time to do so. In the Big Eddy case, the tech investment model suggests that the two toolstones were heat-treated differentially in response to differences in utility gains and availability on the landscape.

scholarly journals Research on Model Slice and Forming Method of Thin-walled Parts

2021 ◽  
Vol 233 ◽  
pp. 04046
Author(s):  
Changhao Zhang ◽  
Hu Li ◽  
Jianyu Yang ◽  
Huawei Lu ◽  
Peng Su
Keyword(s):  
Numerical Simulation ◽  
Temperature Field ◽  
Structural Characteristics ◽  
Three Dimensional ◽  
Simulation Method ◽  
Processing Parameters ◽  
Transient Temperature ◽  
Transient Temperature Field ◽  
Thin Walled ◽  
Experimental Processing

According to the structural characteristics of thin-walled parts, a model slicing method is proposed, and its mathematical process is established. The three-dimensional transient temperature field in the process of synchronous powder feeding laser cladding is studied and verified by numerical simulation method, and the thin-walled parts formed by later experimental processing are processed by the results of numerical simulation. Using the simulation results of temperature field as the basis for optimizing the processing parameters, the forming path of thin-walled parts is programmed and optimized, and the experimental verification shows the reliability of this method.

Experimental Study on Heat Treatment of SS 420 and EN 24 Using Nanoparticulate Quenching Process

2018 ◽  
Vol 18 (06) ◽  
pp. 1850040
Author(s):  
N. Manikanda Prabu ◽  
G. Sureshkannan ◽  
P. Maniiarasan ◽  
V. S. Thangarasu
Keyword(s):  
Heat Transfer ◽  
Heat Treatment ◽  
Current Trend ◽  
Average Diameter ◽  
Tempering Temperature ◽  
Quenching Effect ◽  
Quenching Medium ◽  
Research Areas ◽  
Heat Treated ◽  
Quenching Time

Heat transfer through nanotechnology is a current trend which occupies most research areas with improved results. Taking this concept, the present work has been focused on the analysis of quenching effect on steel such as EN 24 and SS 420 with nanoparticles dispersed in quenching medium. Quenching is the process of removing heat from the heat-treated elements which also take part in determining the hardness values depending on the heat transfer rate and quenching time. To ensure the outcome properties, different volume concentrations of nanofluids have been prepared by adding TiO2 nanoparticles with the average diameter of less than 20[Formula: see text]nm in synthetic oil. Here, it is planned to have four volume concentrations (0.25[Formula: see text]g/lit, 0.375[Formula: see text]g/lit, 0.5[Formula: see text]g/lit, 0.625[Formula: see text]g/lit) of nanofluids to be used in the experiment. The materials after facing heat treatment up to 850∘C (EN 24) and 980∘C (SS 420), are subjected to quenching by using nanofluid. The work has been carried out by altering the tempering temperature and volume of nanoparticles in the quenching medium. The outcome quality of the product desirably supports our expectations, such as improved hardness and reduced time consumption for quenching. Additionally, the comparative analysis shows an improvement in heat transfer characteristics as well as properties in quenched specimen with nanofluids.

Application of numerical simulation of heat treatment in industry

2004 ◽  
Vol 120 ◽  
pp. 753-760
Author(s):  
M. Slováček
Keyword(s):  
Numerical Simulation ◽  
Heat Treatment ◽  
Residual Stresses ◽  
Input Data ◽  
Applied Mechanics ◽  
Heat Treated

Heat treatment and especially quenching causes distortion and sometimes cracking of a quenched part. To eliminate these undesired by-effects the whole cycle of heat treatment is simulated by FEM, which makes possible a complete metallurgical, thermal and thermoplastic calculation. The goal of this simulation is to bring the whole cycle of heat treatment to optimum - to reach the lowest level of residual stresses possible at its end and to meet the mechanical qualities required by the customer. A lot of complete numerical simulation of heat treatment were done at the Institute of Applied Mechanics (IAM) by the SYSWELD code, mainly the heat treatment of big shafts and plates for Vitkovice Company. The Vitkovice, JSC produces ship-shafts of large dimensions (diameter 2.5 m, length 10m) and other products which are forged and consequently heat treated. Heat treatment consists of quenching (in water, air and oil), and then tempering follows.The whole simulation was divided into two parts. The aim of the first part was to find correct input data for calculation..The second part consisted of heat treatment simulation with real models.

Sign in / Sign up

Export Citation Format

Share Document