scholarly journals Brake Squeal Analysis using Finite Element Analysis Method

2020 ◽  
Vol 13 (3) ◽  
Author(s):  
Yatesh Patil ◽  
Subim Khan ◽  
Shoaib Iqbal ◽  
Amol Bankar ◽  
Maheshwari Patil

The Finite Element Analysis (FEA) is widely used for solving many Engineering problems. This paper focuses on use of FEA for Brake Squeal Analysis. Automobiles generates several kinds of noises like Groan, chatter, judder, moan, and squeal. Brake squeal can be defined as an unwanted noise that occurs due to dynamic instability of the system. It generally occurs in the frequency range of 1 KHz to 16 KHz.The aim of the project is to predict the squeal noise occurring at particular frequencies at an early stage of development using full corner brake model. The preprocessing of the full corner brake model is done using Hypermesh while the processing and post-processing is to be carried out by using Abaqus. Analysis uses non-linear static simulation which is followed by Complex Eigen Value (CEA) extraction for carrying out the squeal Simulation. It provides the relation between damping ratio and frequency (Real part of the complex Eigen value). If the damping ratio at any particular frequency is above one, it can be said that squeal will occur at that particular frequency.

Author(s):  
Yash Gujarati ◽  
◽  
Ravindra Thamma

This paper presents the development of a sixaxis force/torque (FTS) sensor using crossbeams for a robotic arm. The sensor produced in this paper is a new unique design that was developed under rigorous trial and testing using finite element analysis (FEA) at every stage of development. Additionally, the FTS presented uses strain gauge technology and data-acquisition (DAQ) to measure and record forces in Fx, Fy, and Fz direction along with torque in Mx, My, and Mz direction. FTS was tested, calibrated, and fitted on a robotic arm to test its accuracy and repeatability


2021 ◽  
Vol 27 (5) ◽  
pp. 60-70
Author(s):  
N.H. Sakhno ◽  
◽  
K.V. Avramov ◽  
B.V. Uspensky ◽  
◽  
...  

Free oscillations and dynamic instability due to supersonic airflow pressure are investigated in a functional-gradient compound composite conical-cylindrical shell made of a carbon nanotubes-reinforced material. Nanocomposite materials with a linear distribution of the volumetric fraction of nanotubes over the thickness are considered. Extended mixture rule is used to estimate nanocomposite’s mechanical characteristics. A high-order shear deformation theory is used to represent the shell deformation. The assumed-mode technique, along with a Rayleigh-Ritz method, is applied to obtain the equations of the structure motion. To analyze the compound structure dynamics, a new system of piecewise basic functions is suggested. The pressure of a supersonic flow on the shell is obtained by using the piston theory. An example of the dynamic analysis of a nanocomposite conical-cylindrical shell in the supersonic gas flow is considered. The results of its modal analysis using the Rayleigh-Ritz technique are close to the natural frequencies of the shell obtained by finite element analysis. In this case, finite element analysis can only be used for shells made of material with a uniform distribution of nanotubes over the thickness. The dependence of the natural frequencies of a compound shell on the ratio of the lengths of the conical and cylindrical parts is studied. The dependence of the critical pressure of a supersonic flow on the Mach numbers and the type of carbon nanotubes reinforcement is investigated. Shells with a concentration of nanotubes predominantly near the outer and inner surfaces are characterized by higher values of natural frequencies and critical pressure than the shells with a uniform distribution of nanotubes or with a predominant concentration of nanotubes inside the shell.


2011 ◽  
Vol 110-116 ◽  
pp. 2411-2415 ◽  
Author(s):  
Ojo Kurdi ◽  
R.A. Rahman ◽  
Mohd Nasir Tamin

Recently the truck industry has experienced a large push to overcome the increasing demands of higher performance, lower weight, and longer life of components, all this at a reasonable cost and in a short period of time. Conducting experimental test in the early stage of design is time consuming and expensive. In order to reduce the cost, it is important to conduct simulation using numerical methods by software to find the optimum design. In practice, many of the finite element objects are very large so it makes a difficulty in meshing and also in analysis of the model. It very takes time and need a lot of memory of computer. Submodeling technique offer the solution about that problem. This paper presents the submodeling technique that applied on the corroded truck chassis.


2001 ◽  
Author(s):  
Yanyao Jiang ◽  
Bin Huang ◽  
Hua Zhao ◽  
Chu-Hwa Lee

Abstract Both experimental investigation and finite element analysis were conducted to explore the mechanisms of the early stage self-loosening of bolted joints under transverse cyclic loading. The nuts were glued to the bolts using a strong thread locker in the self-loosening experiments to ensure that no backing-off of the nut occurred. Depending on the loading magnitude, the clamping force reduction ranged from 10% to more than 40% of the initial preload after 200 loading cycles. Three-dimensional elastic-plastic finite element analysis was conducted with the implementation of an advanced cyclic plasticity model. The finite element results revealed that the local cyclic plasticity occurring near the roots of the engaged threads resulted in cyclic strain ratchetting. The localized cyclic plastic deformation caused the stresses to redistribute in the bolt, and the result was the gradual loss of clamping force with loading cycles. The finite element results agreed with the experimental observations quantitatively. Both experiments and finite element simulations suggested that the friction between the clamped plates has an insignificant influence on self-loosening.


2004 ◽  
Vol 31 (3) ◽  
pp. 440-452 ◽  
Author(s):  
Ilian Zinoviev ◽  
Magdi Mohareb

A methodology for the analysis and design of laterally unsupported portal frames is proposed. A finite element model is developed to predict the elastic critical load and associated buckling mode. Regression analysis is then conducted to find lateral displacement and rotation field expressions that closely approximate the buckled configurations predicted by the finite element analysis. The obtained functions are then substituted into the total potential energy expression, and the stationarity conditions are evoked. The resulting eigen-value problem is solved for the out-of-plane buckling loads that are then compared with those based on the finite element model. The agreement between the two solutions provides an indication of the accuracy of the simplified energy solution. The member destabilizing effects induced by axial forces are separated from those induced by strong axis bending. The separation of these two effects is subsequently exploited in a two-step eigen-value procedure, aimed at determining the key member resistances defined in the interaction check of the standard CSA-S16-01, while accurately modeling the boundary conditions of the member. These are (i) compressive resistance of the member in the absence of bending effects and (ii) flexural resistance of the member in the absence of axial force effects.Key words: portal frames, lateral buckling, finite element analysis, wide flange sections, frame design, principle of stationary potential energy.


2015 ◽  
Vol 786 ◽  
pp. 372-377 ◽  
Author(s):  
Razali Zol Bahri ◽  
Datu Derin Nurul Atikah

Articulated robotic arm is used for handling and separating waste in waste management facility. In the proses of designing the robotic arm, an analysis such as simulation of finite element analysis would very helpful in the early stage of the design. The result of the analysis will show the strength or weakness of the design before the stage of redesign and fabrication. This project focuses on thorough analysis on the design project of robotic arm for waste management application. The CAD software, SolidWorks is used to model the detail design of the robotic arm, and to simulate the motion of the device. The analysis included force analysis on the structure of the robotic arm and motion simulation on the robotic arm. The robotic arm used four servomotors for overall operation; three for its joints, and one for the gripping mechanism. The gripper was designed and fabricated using aluminium sheet due to the high strength-to-density ratio of the material. Based on the results, a better design of robotic arm with different gripping mechanism is proposed. The difference between two designs is clearly brought a large development where the ability of the robotic arm to lift up a larger weight of object is considered as a success. The method and materials of the project is detailed in the paper.


2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Chao Su ◽  
Jiawei Bai

Traditional structural optimization is mainly based on the assumption that the materials are elastic, which cannot represent real stress fields in structures. In this study, the genetic algorithm, big bang-big crunch algorithm, and hybrid big bang-big crunch algorithm were employed to optimize the design factors of ship lock heads during concrete construction. The optimization goal was to determine the minimum volume of concrete. The factors considered included the hydration heat, the early-stage creep, and the transient deformation under external loads. In the finite element analysis, three types of boundary conditions were considered. The whole construction process was simulated, and the maximum tensile and compressive stresses, the stability, and the overturning of the lock head were examined. Based on the finite element analysis, to reduce the consumption of memory, a set of implicit recursive equations were used to calculate the thermal creep stress. Thirty-four design variables were distinguished for optimization. A case study on the optimization of a ship lock head was used to demonstrate the optimization process. The optimization results showed that the hybrid big bang-big crunch algorithm was more effective, and some conclusions were derived.


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