Combined Analysis of Plastic Flow and Temperature Distribution During Friction Stir Welding

2005 ◽  
Author(s):  
Shigeki Hirasawa ◽  
Kazutaka Okamoto ◽  
Satoshi Hirano ◽  
Toshio Tomimura
Keyword(s):  
Finite Element Method ◽  
Temperature Distribution ◽  
Plastic Flow ◽  
Heat Generation ◽  
Shear Force ◽  
Particle Method ◽  
Friction Stir ◽  
Temperature Distributions ◽  
Metal Plates ◽  
Flow Heat

Plastic flow, heat generation by shear force, and temperature distribution during the FSW process were analyzed. The plastic flow was numerically calculated using a particle method and the temperature distribution was calculated using a finite element method. Both analyses were combined. Temperature distributions were calculated by changing conditions of heat generation caused by the friction between the rotating tool and the metal plates. Local temperature distributions near the rotating tool differed for the conditions, but whole temperature distributions were almost same. In the calculation result of the plastic deformation, the heat generation by the shear force occurred about 60% at near the shoulder and 40% at near the pin of the tool.

An Influence of Frictional Model on Temperature Distribution during a Friction Spot Stir Welding Process of Titanium Grade 2

2016 ◽  
Vol 687 ◽  
pp. 155-162
Author(s):  
Piotr Lacki ◽  
Zygmunt Kucharczyk ◽  
Tomasz Walasek
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Friction Stir Welding ◽  
Temperature Distribution ◽  
Welding Process ◽  
Relative Speed ◽  
The Finite Element Method ◽  
Friction Stir ◽  
Temperature Distributions ◽  
Titanium Grade

In the paper, the influence of friction on temperature distribution in the friction spot stir welding process of titanium grade 2 is analysed. It is assumed that the friction coefficient may be a function of temperature or the relative speed of the contact areas. The finite element method is used in the numerical calculations. Temperature distributions and temperature versus time for the analysed friction coefficients are presented. The results also show that applying a proper frictional model is very essential for the sake of heat generation during friction stir welding.

Analysis of Temperature and Plastic Flow During Friction Stir Spot Welding Using Particle Method With Elastic-Plastic Model

2008 ◽  
Author(s):  
Shigeki Hirasawa ◽  
Harsha Badarinarayan ◽  
Kazutaka Okamoto ◽  
Toshio Tomimura
Keyword(s):  
Temperature Distribution ◽  
Flow Pattern ◽  
Plastic Flow ◽  
Spot Welding ◽  
Rotation Speed ◽  
Particle Method ◽  
Metal Plate ◽  
Friction Stir Spot Welding ◽  
Friction Stir ◽  
Metal Material

Friction stir spot welding (FSSW) is a new metal-joining process, and a numerical simulation code to calculate optimal welding conditions is desired. In this paper, we analyzed temperature distribution and plastic flow during FSSW process by solving the elastic-plastic deformation equations using the particle method. Calculation results indicate that, temperature distribution is circler patterns and the temperature below the rotation tool is 300 °C at 0.7 s when the diameter of the tool is 8 mm and the rotation speed is 2500 rpm. The material of the metal plate near the outside of the tool protrudes to cause the burr. The calculation result is similar to our experimental result. Plastic flow pattern of material in the metal plate is obtained. The obtained complex flow pattern is important to mix metal material and the weld strength of FSSW. The length of the pin of the tool, the tool diameter, the tool rotation speed, and the tool plunge speed are important parameters for mixing of metal material. The mixing of metal material below the concave shoulder is strong.

scholarly journals Analysis of Temperature and Plastic Flow during Friction Stir Spot Welding Using Particle Method

2009 ◽  
Vol 4 (2) ◽  
pp. 260-271 ◽  
Author(s):  
Shigeki HIRASAWA ◽  
Harsha BADARINARAYAN ◽  
Kazutaka OKAMOTO ◽  
Toshio TOMIMURA ◽  
Tsuyoshi KAWANAMI ◽  
...  
Keyword(s):  
Plastic Flow ◽  
Spot Welding ◽  
Particle Method ◽  
Friction Stir Spot Welding ◽  
Friction Stir

scholarly journals A Review on Heat Generation and Temperature Distribution Models in Friction stir Welding (FSW)

2021 ◽  
Vol 1116 (1) ◽  
pp. 012080
Author(s):  
Bharat Singh ◽  
Shailesh Sharma ◽  
Veneet Kumar ◽  
Kunal Maheshwari ◽  
Piyush Singhal
Keyword(s):  
Friction Stir Welding ◽  
Temperature Distribution ◽  
Heat Generation ◽  
Distribution Models ◽  
Friction Stir

G0601-4-6 Analysis of Temperature and Plastic Flow during Friction Stir Spot Welding using Particle Method

2009 ◽  
Vol 2009.3 (0) ◽  
pp. 43-44
Author(s):  
Shigeki HIRASAWA ◽  
Harsha BADARINARAYAN ◽  
Kazutaka OKAMOTO ◽  
Toshio TOMIMURA ◽  
Tsuyoshi KAWANAMI ◽  
...  
Keyword(s):  
Plastic Flow ◽  
Spot Welding ◽  
Particle Method ◽  
Friction Stir Spot Welding ◽  
Friction Stir

Predicting Dimensions of a Rectangular Fin Satisfying a Given Internal Heat Generation Using Inverse Method

2015 ◽  
Author(s):  
Ranjan Das
Keyword(s):  
Temperature Distribution ◽  
Gas Turbine ◽  
Turbine Blade ◽  
Heat Generation ◽  
Internal Heat ◽  
Internal Heat Generation ◽  
Physical Parameters ◽  
Gas Turbine Blade ◽  
Temperature Distributions ◽  
Reconstructed Temperature

This paper deals with a computational study to predict important dimensions of a rectangular fin used in gas turbine blade cooling for satisfying a prescribed internal heat generation. The heat transfer is assumed to occur by simultaneous conduction, convection and radiation. The effect of temperature-dependent thermal conductivity has been also taken into consideration. Rectangular fin geometry has been considered due to its simplicity and easiness of fabrication. Corresponding to known values of various thermo-physical parameters, at first using the fourth order implicit Runge-Kutta-based forward method, the relevant steady-state temperature distribution is evaluated. Forward method has been well-validated with three numerical schemes and experimental data. Thereafter, an inverse problem is solved using the genetic algorithm (GA) for predicting fin dimensions satisfying a prescribed temperature distribution corresponding to a fixed internal heat generation. The relevant objective function has been formulated using a three-point error minimization technique represented by square of residuals between guessed and available temperature distributions. The analysis has been done for three different fin materials such as Inconel, Hastelloy and Titanium. These materials are generally used in gas turbine blade applications due to their high melting point along with good fatigue, corrosion and creep properties. Effects of random measurement errors following a Gaussian profile are analyzed. The variations of relevant parameters are studied at different generations of GA. It is observed that for a given fin material, many feasible dimensions can sustain a given amount of internal heat generation which offer sufficient scopes to the fin designer. For the required amount of heat generation, the suitability of estimated parameters has been verified by the comparison between actual and reconstructed temperature distributions alongwith minimization of total fin volume. The present work is proposed to be useful in selecting appropriate dimensional fin configurations corresponding to a given material which can satisfy a fixed amount of internal heat generation.

Fast Computation of Microscale Temperature Distribution in LSI Chips

2003 ◽  
Author(s):  
Shigeki Hirasawa ◽  
Satoru Isomura
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Temperature Distribution ◽  
Silicon On Insulator ◽  
Fast Computation ◽  
The Finite Element Method ◽  
Fast Calculation ◽  
Temperature Distributions ◽  
Network Method ◽  
Practical Tool

A network method for quickly calculating the temperature distributions in an LSI chip with silicon-on-insulator (SOI) transistors and multi-layered lines has been developed. Its calculation time is less than 1/1000 of that of the finite element method, and its error is within 15%. The developed fast calculation method can be used in the case of more than 300 heating devices and more than 1000 lines in an LSI chip. It is thus a practical tool for designing the optimum layout of devices to prevent local temperature increases in an LSI chip.

Feasibility Study on Noncontact Monitoring of Temperature Distributions of Rotating Tool

2013 ◽  
Vol 372 ◽  
pp. 336-339
Author(s):  
Akira Kosugi ◽  
Iwao Matsuya ◽  
Ikuo Ihara
Keyword(s):  
Temperature Distribution ◽  
Surface Acoustic Waves ◽  
Ultrasonic Technique ◽  
Laser Ultrasonic ◽  
Steel Cylinder ◽  
Friction Stir ◽  
Cylindrical Object ◽  
Temperature Distributions ◽  
Temperature State ◽  
Monitoring Temperature

In the fields of materials science and engineering, measuring temperature has become one of the most fundamental and important issues. In particular, there are growing demands for monitoring temperature gradient and its transient variation of materials being processed at higher temperatures because the temperature state during processing crucially influences the quality of final products. Such temperature monitoring is also required for rotating machining processes such as tuning, milling and friction stir welding (FSW). In this work, a new noncontact method for monitoring temperature distribution of a heated rotating cylindrical object is presented. A laser-ultrasonic technique is employed in the method. Surface temperature measurements for the cylindrical object using the laser-ultrasonic technique and heat conduction analyses are combined together for making quantitative evaluation of temperature distribution in the radial direction of the cylindrical object. To demonstrate the feasibility of this method, an experiment with a steel cylinder of 100 mm in diameter rotating at 300 min-1 and heated up to 100 °C on the surface is carried out. A pulsed laser generator and a laser Doppler vibrometer are used for generating and detecting surface acoustic waves (SAWs) on the steel cylinder, respectively. Measured SAWs are used for determining both surface and internal temperatures of the cylinder. As a result, the estimated temperature distributions during heating almost agree with those measured by an infrared radiation camera.

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