scholarly journals Thermal distribution analysis of inner defects in TSV

2018 ◽  
Vol 38 ◽  
pp. 04026
Author(s):  
Chuan Kai Jiang ◽  
Lei Nie ◽  
Wen Jia ◽  
Yu Ning Zhong

In order to uncover the external manifestations of TSV internal defects, the finite element models of typical internal defects, which were filling missing, axial cavity and end cavity, were established. The thermal analysis was carried out using thermoelectric coupling method. The temperature distribution of TSV with and without defects were obtained. And the temperature variation profiles on the defined paths of TSV layer were also analyzed. The analysis indicated that all the defective TSV showed distinct temperature distribution with the defect-free TSV. Among three typical defects, TSV with filling missing showed the most obvious difference on the temperature distribution and path variation. TSV with end cavity has relatively weak affect and the slightest defect was TSV with axial cavity. Therefore, it could be seen that the external temperature difference caused by the internal defects of TSV could provide effective information for the identification and detection in TSV with internal defects.

2021 ◽  
Author(s):  
Ramesha Guntanur ◽  
Ashutosh Patel ◽  
Vijay Biradar ◽  
Pramod Kumar

Abstract This paper presents the coupled thermal and structural analysis of the rotating components of the generator using ABAQUS finite element solver. The interference between shaft and rotor is optimized to have a positive contact pressure and also minimize the stresses in the laminate at all operating speeds. Thermal analysis is performed to simulate the temperature distribution arising from the heat losses of generator. The flow path of the coolant is designed through the shaft to minimise the temperature rise of the generator. The resulting changes in the contact pressure between laminated disc and shaft is computed using sequentially coupled thermal and structural analysis. The thermal stresses of rotor are computed estimated and the design is optimized for transmitting torque at different operating speeds.


Author(s):  
N. RAJESH JESUDOSS HYNES ◽  
P. NAGARAJ ◽  
S. JOSHUA BASIL

The joining of ceramic and metals can be done by different techniques such as ultrasonic joining, brazing, transient liquid phase diffusion bonding, and friction welding. Friction Welding is a solid state joining process that generates heat through mechanical friction between a moving workpiece and a stationary component. In this article, numerical simulation on thermal analysis of friction welded ceramic/metal joint has been carried out by using Finite Element Analysis (FEA) software. The finite element analysis helps in better understanding of the friction welding process of joining ceramics with metals and it is important to calculate temperature and stress fields during the welding process. Based on the obtained temperature distribution the graphs were plotted between the lengths of the joint corresponding to the temperatures. To increase the wettability, aluminium sheet was used as an interlayer. Hence, numerical simulation of friction welding process is done by varying the interlayer sheet thickness. Transient thermal analysis had been carried out for each cases and temperature distribution was studied. From the simulation studies, it is found that the increase in interlayer thickness reduces the heat affected zone and eventually improves the joint efficiency of alumina/aluminum alloy joints.


Author(s):  
D. Sheiksha Vali ◽  
T. Micha Premkumar ◽  
A. Anand Sai ◽  
P.V. Sudarshan ◽  
P. Roopak ◽  
...  

Thermal analysis of different types of the connecting rods are under stead state condition using finite element method. The energy equation and heat transfer equation in the solids are completely addressed and solved using the Newton-Raphson technique and finite element method. SOLID WORKS is used for modelling different types of connecting rods and ANSYS© software is used to perform this numerical investigation. Three different materials like structural steel, aluminium alloy and titanium are selected as the material of connecting rod to do the comparative studies. In a steady thermal analysis, properties like temperature distribution, total heat flux and directional heat flux are calculated. The knowledge of the above properties is required to identify the viscosity of oil used for lubrication and also temperature distribution is helpful to find the thermal deformation in the connecting rod. Temperature and convection co-efficient are the boundary conditions. 22°C is the initial temperature value and the value of convection co-efficient is 350W/m2°C. As a result of thermal analysis, titanium alloy is the best material among the three materials as it with stand higher temperatures, high lifecycle and high performance.


2012 ◽  
Vol 531 ◽  
pp. 244-247
Author(s):  
Xiang Shan Huang ◽  
Li Dan Chen

By fluid analysis for the finite element models of "S"-shaped and straight waterways with ANSYS, through thermal analysis for the finite element models of the function blocks with and without holes cooling after flow analysis, by comparison of the temperature field, function blocks with hole deformation is narrowed, the product quality can thus be improved.


2019 ◽  
Vol 890 ◽  
pp. 155-161
Author(s):  
Sara Gomes ◽  
Paula Pascoal-Faria ◽  
Geoffrey R. Mitchell ◽  
Thomas Gkourmpis ◽  
Tristan Youngs

The processing of polymers is highly complex. The study of their crystallisation assumes an important role and needs to be carefully detailed. Scattering experiments can be used to study polymer molecular organisation. However these procedures are still very multifaceted leading to the need for planning all the details in the experiments that are to be performed. This manuscript presents a finite element model developed to study the temperature variation of a T Jump System, which has been used for studying polymer behaviour with the NIMROD instrument at the ISIS Neutron and Muon Source, UK. Results show that the variation across the sample was 2oC at a maximum temperature of 70oC and 1oC at a maximum temperature of 50oC.


2016 ◽  
Vol 138 (2) ◽  
Author(s):  
Yanyi Xiao ◽  
Wen Wang ◽  
Jianhua Zhang

Temperature distribution is the key factor affecting the bonding quality in the glass/glass laser bonding process. In this work, the finite element method was used to establish three-dimensional (3D) numerical analysis model of the temperature field during bonding. Based on the result of the finite element analysis, the crucial parameters and their influences on the temperature distribution were discussed. In order to predetermine the necessary process parameter values for bonding, a nonlinear multiparameter fitting formula was established to predict the maximum temperature. The fitting model was validated experimentally by recording the maximum temperature during laser bonding via an infrared thermal imager.


Author(s):  
Mauricio Rangel Pacheco ◽  
Jean Paul Kabche ◽  
Ivan Thesi ◽  
Fabiano Nunes Diesel

Friction Stir Welding (FSW) is a solid-state welding process which generates heat through mechanical friction between a moving workpiece and a fixed component, in order to plastically combine materials. This process has been gaining considerable attention due to several key advantages, which include: good mechanical properties of the combined materials after welding, absence of toxic fumes and molten material spatter, low environmental impact, and low concentration of defects while allowing a large variation of parameters and materials. Although a reasonable number of experimental investigations on FSW are available in the literature, numerical modeling of this process has not been performed on a large scale. In that light, this paper presents a numerical investigation of the temperature distribution in plates welded by FSW, using finite element analysis. The finite element model developed includes friction between the workpiece and the fixed component, as well as the corresponding heat dissipation that results from plastic deformation of the material. The model was found appropriate for estimating important welding characteristics, such as the heat-affected zone (HAZ), and their sensitivity to various welding parameters.


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