The hottest mscsoftware integrated fatigue life pr

2022-09-19
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MSc Software Integrated fatigue life prediction solution

in today's increasingly competitive market, companies are looking for ways to not only improve product quality, performance and durability, but also shorten product development cycle. The complexity of modern products requires the use of computer engineering analysis to optimize product design, so as to improve its market competitiveness

by changing the design parameters of the structure quickly and effectively in the computer without building the test model, such analysis greatly reduces the development cost of the product. For structural analysis whose goal is to predict stress or strain, these typical parameters include the change of geometric shape, external load, and the selection of materials. However, the prediction of stress is only a part of the optimal design of product structure. In the process of product design, another major requirement of computer engineering analysis is to estimate the service life of products. Therefore, it is an important tool to predict fatigue life through analysis

in the scheme design stage, designers and engineers often use the calculation results of simple manuals to evaluate the durability of products. However, the durability of products can often be tested in detail at the test stage of the development cycle or after the production of test models. Moreover, the cost is considerable. Testing alone cannot evaluate all design parameters. And only when the product has been in service for a period of time can its fatigue failure be found. At this stage, the fatigue problem will have extremely bad consequences, including greatly damaging the reputation of the product, let alone reducing the service life

in the United States, it has been confirmed that the loss caused by product fatigue accounts for about 4% of the gross national product of Jinmin public welfare fund to many colleges and universities (about $120billion). The fields involved in fatigue include automobile, aerospace, machinery, shipbuilding, railway, national defense, military industry, marine engineering, etc. With the rapid development of science and technology and the increasingly demanding requirements of users for products, enterprises are facing greater and greater challenges. In order to shorten the time to market, fatigue should be ahead of design. In the early design stage of products, evaluating fatigue related problems and carrying out durability analysis to predict the service life of products can bring great benefits to the company in reducing development and testing costs, shortening the time to market, and improving the service life of products

ftware provides a perfect integrated life prediction solution to meet the needs of enterprises. This solution is an important part of MSC simulation tool set and an important link to realize virtual product development (VPD). It is mainly composed of four software in moffice: tran, tran, tigue, AMS

there are two main types of fatigue durability processes: the process based on test and the virtual simulation process based on CAE. These two processes are not isolated, but linked by common tools. The basic fatigue analysis process requires three aspects of information: geometric information, load information and material characteristics of the prototype

for the traditional virtual fatigue simulation process, in addition to the geometric information from CAE model, it generally requires two inputs, one is the fatigue performance parameters of materials, and the other is the stress/strain time history. Material parameters can be obtained directly from tests according to relevant standards, or from publications such as material manuals, or from material database software. Obtain the change history of stress and strain with time, and use the finite element virtual simulation technology. As long as we know the load conditions and boundary conditions, we can understand the stress and strain conditions in the whole part before the physical prototype is manufactured. For virtual, the load information can be obtained from the virtual simulation model

fatigue durability process

load data is a main input of finite element virtual simulation analysis. Obtaining the load change history under actual working conditions is a complex but very important task. At present, we generally have two methods to obtain the load, which not only brings convenience to mold manufacturing. The first is the experimental method, which directly measures the force, torque or pressure signals from the physical prototype. The second is the virtual simulation method, that is, the load history is obtained through virtual simulation analysis. For example, the load history changes in some actual working conditions are simulated with multi-body dynamics software (such as AMS) and models

in the past, it was generally the load of physical prototype and physical test activities, or the prototype was virtual, and the load was obtained from the test. Such fatigue life prediction relies too much on experiments or physical prototypes, which is time-consuming and expensive. Unable to fully meet the needs of rapid development and timely product development. MS makes a large number of expensive imported instruments occupy the medium, high and even low-end market for a long time. The integrated fatigue life prediction scheme of ftware is to use virtual prototype virtual load material properties life prediction to carry out product finalization design verification

from the following ftware virtual product development diagram, it can be clearly seen that fatigue durability simulation is an important part of VPD, which is the final visual display of product performance

schematic diagram of virtual product development process

extends the fatigue and durability analysis in the above figure, that is, use tran software to establish the finite element model of the key components that need fatigue analysis, then submit it to tran for modal analysis, output the modal neutral files MNF file and op2 file required by AMS, and then read this MNF file directly into AMS for system kinematics simulation of rigid flexible body combination, Obtain the load DAC file required for fatigue analysis, and then read op2 and DAC files into tigue for fatigue life and durability analysis, so as to obtain the product life distribution. The software relationship is shown in the following figure:

integrated fatigue analysis software module diagram

example: integrated fatigue life analysis of the control rocker arm of the beach car

in short, by organically combining the above four software: tran, tran, AMS and tigue, Create a seamless integrated environment for integrated fatigue life prediction, organically integrate different disciplines represented by various software, minimize the data transmission between tran, AMS and tigue, and generate consistent data information, so that the operation of product fatigue life prediction is simple, the data is smooth, reliable and practical, and realize the automation of fatigue life prediction process. (end)

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