Analysis and Implementation of Input Load Effects on an Air Compressor Piston in MSC.ADAMS

Sapietová, Alžbeta; Bukovan, Juraj; Sapieta, Milan; Jakubovičová, Lenka

doi:10.1016/j.proeng.2017.02.260

Cited by 20 publications

(14 citation statements)

References 10 publications

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“…5). The definition of the S -N curve model in the double logarithmic system is that the linear damage accumulation is done with the amplitude stress tensor of the particular hysteresis [8][9][10][11][12][13].…”

Section: Life Calculation Of Boltsmentioning

confidence: 99%

Life analysis of the bolted joint

Sapieta

Šulka

2019

MATEC Web Conf.

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The paper deals with the fatigue damage calculation of 2 types of computation model of bolted joints. The study is performed via a numerical analysis with support of finite element method (FEM) software ANSYS. One model was created with a thread on the bolt, another was only bolt with cylindrical surfaces, the second model was greatly simplified. It will be evaluated the fatigue damage for both types of models. Subsequently both types of computational models will be compared in dependence on the accuracy of the results and the speed of the calculation. There are also the theoretical backgrounds for preloaded bolted joint, which was used for calculation of preload load prescribed on body of screws.

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Section: Life Calculation Of Boltsmentioning

confidence: 99%

Life analysis of the bolted joint

Sapieta

Šulka

2019

MATEC Web Conf.

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“…Turkkan and Jun Su [6] express that a lot of mathematical formulations have been developed for kinematic analysis of complex mechanisms, but the analysis of models based equations are sometimes error-prone, because of this reason analysis has been done by using MSC ADAMS software. Sapietova et al [7] imply that for a virtual prototype in a specific software environment requires to good knowledge with a lot of experience. Li et al [8] said that dynamic analysis is essential for the design and application of complex mechanisms, especially for high-speed applications.…”

Section: Dimensional Synthesismentioning

confidence: 99%

Traktör Krank-Biyel Mekanizmasının Kinematik Analizi

Beyaz

Dağtekin

2018

Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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It is necessary to carry out various movements to understand the functions of agricultural machines. These movements are usually taken from the tractor shaft, the hydraulic control system or the wheel. Various mechanisms are used to ensure movement and to make agricultural machinery work. With these mechanisms, the direction and the number of movements can be changed. One of these mechanisms is crank-rod mechanisms and these mechanisms turn various actions into a complex movement. Consequently, the crank-rod mechanism of the tractor motor can be analyzed with limb mechanisms. In this study, the crank-rod mechanism of a tractor motor was dimensioned in different lengths and subjected to the kinematic analysis of MSC ADAMS software. The kinematic analysis of a single crank-rod mechanism for the engine gives important information about the tractor engine. Kinematic evaluation parameters of these mechanisms can be listed as displacement, velocity, and acceleration. These values related to the crank-rod mechanism of the tractor engine are evaluated and presented in the results and discussion section of the research for a better understanding of the kinematic characteristics of the crankrod motion.

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“…One of the input variables was also the angular acceleration of the member 4 of the mechanism of Figure 2. This acceleration was determined by simulation in the MSC.ADAMS program and the average value of this acceleration was estimated based on the average values of the other input variables, [6][7][8].…”

Section: Fig 2 Kinematic Scheme Of the Axial Piston Hydraulic Motormentioning

confidence: 99%

“…Prob{In k (In k_ave - k , In k_ave + k )}  0. (6) This case corresponds to the non-control of values In k outside the interval (In k_ave + k ,In k_ave + k ). The 2 nd case, the input random variables were simulated from truncated normal distributions, N( k_est , 2 k_est ) at interval (In k_ave + k , In k_ave + k ).…”

Section: (4)mentioning

confidence: 99%