Finite Element Prediction of Grind-Hardening Layer Thickness

2009 ◽  
Vol 416 ◽  
pp. 253-258 ◽  
Author(s):  
Gui Cheng Wang ◽  
Zhong Feng Pan ◽  
Jin Yu Zhang ◽  
Chong Lue Hua ◽  
Ju Dong Liu
Keyword(s):  
Finite Element ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Grinding Force ◽  
Heat Distribution ◽  
The Finite Element Method ◽  
Cutting Depth ◽  
Hardening Process ◽  
Grind Hardening ◽  
Finite Element Prediction

According to the grind-hardening test and using the multiple linear regression analysis, the empirical formula of the tangential grinding force is established in this paper. Combined with the heat distribution coefficient formula of Rowe and Pettit, the thickness of the grind-hardening layer is predicted by using the finite element method under different grinding parameters. It draws the influence law of the grinding speed, cutting depth and feed rate to the thickness of the grind-hardening layer. It provided the basis to the drawing up, the application and the optimization of the grind-hardening process.

Embankment on sludge: predicted and observed performances

2007 ◽  
Vol 44 (5) ◽  
pp. 545-563 ◽  
Author(s):  
Tien H Wu ◽  
Steven Z Zhou ◽  
Stephan M Gale
Keyword(s):  
Finite Element ◽  
Water Treatment ◽  
Input Data ◽  
Bayesian Updating ◽  
Full Scale ◽  
The Finite Element Method ◽  
Water Treatment Sludge ◽  
History Of ◽  
Finite Element Prediction ◽  
Test Embankment

The case history of an embankment built over soft water-treatment sludge is presented. To assure that the sludge would consolidate and gain strength as predicted, a test embankment was built. The observed performance of the test embankment was compared with the predicted performance to verify and modify design assumptions. The results were used to design and construct the full-scale embankment. The finite element method and the critical state model were used to predict the performances of the test embankment and the full-scale embankment. Bayesian updating and system identification were used to update the material properties used in the prediction for the test embankment. The updated properties were then used to update the prediction for the test embankment and to predict the performance of the full-scale embankment. These predictions were compared with the observed performances to evaluate the accuracies of the predictions with different input data. Efforts were made to identify factors that cause differences between predicted and measured performances.Key words: Bayesian updating, consolidation, finite-element prediction, shear strength, stability, water-treatment sludge.

Calculation of Heat Distribution in High Speed Cutting Based on Finite Element Method

2009 ◽  
Vol 626-627 ◽  
pp. 249-254
Author(s):  
Wang Yu Liu ◽  
X.K. Liu ◽  
Jing Li ◽  
Yong Zhang
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
High Speed ◽  
Experimental Result ◽  
Analytic Method ◽  
Heat Distribution ◽  
Analytic Model ◽  
The Finite Element Method ◽  
High Speed Cutting ◽  
Element Method

Combined the analytic method with the finite element method, the data necessary for calculating the heat distribution ratio for high speed cutting was mined first, and the experimental result was used to validate the authenticity of finite element modeling. Then, the ratio of heat distribution for high speed cutting based on the analytic model was obtained by customizing the special subroutine developed by the authors, which provides a new method for calculating the heat distribution.

Milling Force Analysis and Modeling of Super-Alloy GH2132

2016 ◽  
Vol 836-837 ◽  
pp. 99-105
Author(s):  
Qing Yu Wu ◽  
Lei He ◽  
Hu Xiao ◽  
Liang Li
Keyword(s):  
Cutting Force ◽  
Orthogonal Experiment ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Good Prediction ◽  
Cutting Depth ◽  
Milling Force ◽  
Machine Material ◽  
Specific Cutting Force ◽  
Good Prediction Accuracy

Iron-based alloy GH2132 is a kind of difficult-to-machine material. In this study, the experiments were processed to research the effect of feed per tooth, axial cutting depth and radial cutting depth on milling force. Variance analysis was made on the three factors. The results reveal that axial cutting depth affects milling force significantly, followed by feed per tooth and radial cutting depth has little influence on it. Two types of empirical model of milling force were established by the result of orthogonal experiment and multiple linear regression analysis. It was verified that both (hm, ap) model and (hm, ap, ae) model had good prediction accuracy compared with the experimental data. By calculating specific cutting force using the (hm, ap) model, a modified coefficient of the specific cutting force for 1mm2 chip cross section was proposed. The study would provide guidance to improve the machining precision and machining efficiency of high temperature alloy materials.

Stress Behavior at the Interface Junction of an Elastic Inclusion

2002 ◽  
Vol 69 (6) ◽  
pp. 844-852 ◽  
Author(s):  
Z. Q. Qian ◽  
A. R. Akisanya ◽  
D. S. Thompson
Keyword(s):  
Finite Element ◽  
Elastic Inclusion ◽  
Symmetric Mode ◽  
The Finite Element Method ◽  
Displacement Fields ◽  
Two Phase ◽  
Stress And Displacement Fields ◽  
Higher Order Terms ◽  
The Matrix ◽  
Finite Element Prediction

The stress distribution at the interface junction of an elastic inclusion embedded in a brittle matrix is examined. Solutions are derived for the stress and displacement fields near the junction formed by the intersection of the interfaces between the inclusion and the matrix. The stress field consists of symmetric (mode I) and skew-symmetric (mode II) components. The magnitude of the intensity factor associated with each mode of deformation is determined using a combination of the finite element method and a contour integral. The numerical results of the stresses near the interface junction of two different inclusion geometries show that the asymptotic solutions of the stresses are in agreement with those from the finite element prediction when higher-order terms are considered. The implications of the results for the failure of particle-reinforced and two-phase brittle materials are discussed.

Grinding-Hardening Experiments and Grinding Force Analysis in Infeed External Grinding for 45 Steel

2013 ◽  
Vol 753-755 ◽  
pp. 281-286 ◽  
Author(s):  
Zheng Tong Han ◽  
Gang Yang ◽  
Hong Bo Luo
Keyword(s):  
Tangential Force ◽  
Hardened Layer ◽  
Grinding Force ◽  
Force Analysis ◽  
Hardening Process ◽  
Force Increase ◽  
Grind Hardening ◽  
Metallurgical Structure ◽  
Cut Depth ◽  
Grinding Hardening

The grind-hardening method suitable for external grinding is proposed in this paper and the experiments are carried out on MI432B grinding machine.The hardened layer of the workpiece with cut depth 0.3mm and speed 0.2 m/min is analyzed.The result indicates the metallurgical structure of the hardened layer is martensite and the top hardness value is 754 HV(about 620 HRC).At the same time,the grinding force,one of the most important factors of grind-hardening process is modeled, and the measurement method is provided with elastic core clampers.The measurement result shows that the values of both the tangential force and the normal force increase when the cut depth increases,and the top value is 146 N and 656 N with the cut depth value of 0.4 mm respectively.

scholarly journals Hardness Prediction of Grind-Hardening Layer Based on Integrated Approach of Finite Element and Cellular Automata

Materials ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 5651
Author(s):  
Yu Guo ◽  
Minghe Liu ◽  
Yutao Yan
Keyword(s):  
Finite Element ◽  
Cellular Automata ◽  
Hardened Layer ◽  
Grinding Temperature ◽  
Strengthening Effect ◽  
Workpiece Surface ◽  
Martensite Fraction ◽  
Hardening Process ◽  
Grind Hardening ◽  
Hardness Prediction

As an emerging composite processing technology, the grind-hardening process implements efficient removal on workpiece materials and surface strengthening by the effective utilization of grinding heat. The strengthening effect of grind-hardening on a workpiece surface is principally achieved by a hardened layer, which is chiefly composed of martensite. As a primary parameter to evaluate the strengthening effect, the hardness of the hardened layer mostly depends on the surface microstructure of the workpiece. On this basis, this paper integrated the finite element (FE) and cellular automata (CA) approach to explore the distribution and variation of the grinding temperature of the workpiece surface in a grind-hardening process. Moreover, the simulation of the transformation process of “initial microstructure–austenite–martensite” for the workpiece helps determine the martensite fraction and then predict the hardness of the hardened layer with different grinding parameters. Finally, the effectiveness of the hardness prediction is confirmed by the grind-hardening experiment. Both the theoretical analysis and experiment results show that the variation in the grinding temperature will cause the formation to a certain depth of a hardened layer on the workpiece surface in the grind-hardening process. Actually, the martensite fraction determines the hardness of the hardened layer. As the grinding depth and feeding speed increase, the martensite fraction grows, which results in an increase in its hardness value.

Simulation of tuning graphene plasmonic behaviors by ferroelectric domains for self-driven infrared photodetector applications

Nanoscale ◽  
2019 ◽  
Vol 11 (43) ◽  
pp. 20868-20875 ◽  
Author(s):  
Junxiong Guo ◽  
Yu Liu ◽  
Yuan Lin ◽  
Yu Tian ◽  
Jinxing Zhang ◽  
...  
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Interfacial Effect ◽  
Infrared Photodetector ◽  
The Finite Element Method ◽  
Ferroelectric Domains ◽  
Element Method

We propose a graphene plasmonic infrared photodetector tuned by ferroelectric domains and investigate the interfacial effect using the finite element method.

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