INFLUENCE OF THE LOCATION OF THE BASEBOARD JUMPER FOR FIRMWARE FOR DEFECT FORMATION IN CHAIN DRIVE SPROCKET FORGING

2020 ◽  
Author(s):  
I.A. Tserna ◽  
◽  
V.V. Bukhov ◽  
Keyword(s):  
Computer Simulation ◽  
Defect Formation ◽  
Chain Drive ◽  
Combine Harvester

The paper presents the results of computer simulation of the process of de-formationforged chain wheels, combine harvester; the influence of the placement of the jumper outline for firmware on the processes of defect formation in forging.

Computer simulation of thin film growth with defect formation

2003 ◽  
Vol 169-170 ◽  
pp. 215-218 ◽  
Author(s):  
Y. Kaneko ◽  
Y. Hiwatari ◽  
K. Ohara ◽  
T. Murakami
Keyword(s):  
Thin Film ◽  
Computer Simulation ◽  
Defect Formation ◽  
Film Growth ◽  
Thin Film Growth

A computer simulation study of point defects in diopside and the self-diffusion of Mg and Ca by a vacancy mechanism

1998 ◽  
Vol 62 (5) ◽  
pp. 599-606 ◽  
Author(s):  
Feridoon Azough ◽  
Robert Freer ◽  
Kate Wright ◽  
Robert Jackson
Keyword(s):  
Computer Simulation ◽  
Elevated Temperatures ◽  
Defect Formation ◽  
Diffusion Path ◽  
Activation Energies ◽  
Vacancy Mechanism ◽  
Self Diffusion ◽  
Direct Route ◽  
Formation Energies ◽  
Diffusion Activation

AbstractComputer simulation techniques have been used to investigate defect formation and the diffusion of Ca and Mg in diopside. It was found that isolated, non-interacting CaO and MgO Schottky defects had the lowest formation energies (3.66 and 3.97 eV respectively); oxygen Frenkel defects are the most favourable oxygen defects (formation energies 3.93 eV). Magnesium and calcium self-diffusion in the c-direction of diopside is easiest by a vacancy mechanism involving either direct jumps along the c-direction, or double jumps in the b-c plane. In the extrinsic regime, diffusion activation energies for Mg are predicted to be 9.82 eV (direct route) and 1.97 eV (double jump route); for Ca diffusion, activation energies are predicted to be 6.62 eV (direct route) and 5.63 eV (double jump route). If additional vacancies (oxygen or magnesium) are present in the vicinity of the diffusion path, Ca migration energies fall to 1.97–2.59 eV. At elevated temperatures in the intrinsic regime, diffusion activation energies of ⩾ 5.95 eV are predicted for Mg self-diffusion and 9.29–10.28 eV for Ca self-diffusion. The values for Ca diffusion are comparable with published experimental data. It is inferred that a divacancy mechanism may operate in diopside crystals.

scholarly journals Dynamic Balance Method for Grading the Chain Drive Double Threshing Drum of a Combine Harvester

2020 ◽  
Vol 10 (3) ◽  
pp. 1026 ◽  
Author(s):  
Zhong Tang ◽  
Xiyao Li ◽  
Xin Liu ◽  
Hui Ren ◽  
Biao Zhang
Keyword(s):  
Dynamic Balance ◽  
Chain Drive ◽  
Dynamic Balancing ◽  
Obvious Effect ◽  
Multi Stage ◽  
Chain Transmission ◽  
Combine Harvester ◽  
A Chain ◽  
The Individual ◽  
Dynamic Unbalance

Although the individual threshing drum of a combine harvester was balanced on a dynamic balancing machine before it is assembled, there were still unbalances after multiple drums were assembled with the chain drive. In this paper, the double drums with a chain drive of a crawler combined harvester were selected as the research subject. The aim of this study was to develop a dynamic unbalance mode for grading chain drive double drums. Based on the dynamic unbalance characteristics of the main driven drum, the experimental research on the radial balance of the driven drum end face was carried out. It was known that the chain drive had a direct and obvious influence on the unbalanced phase of the drum. The unbalance of the drive load had an obvious effect on unbalanced amplitude of an active drum through the transfer characteristics of the chain drive. For the multi-stage transmission characteristics of a combine harvester, a step-by-step balanced grading chain drive double drum dynamic balancing method was practiced. Results showed that the unbalanced amplitude after balancing threshing drum I chain transmission mode of the combine harvester can be reduced by a maximum of 91%. Simultaneously, the unbalanced amplitude of threshing drum II can reduced by a maximum of 69.2%. The size and position of the wrap angle of the chain drive would directly affect the phase of the two equivalent unbalanced masses.

Computer Simulation of Defect Production and Behaviour in Displacement Cascades in Metals

1998 ◽  
Vol 540 ◽  
Author(s):  
D.J. Bacon ◽  
F. Gao ◽  
A.V. Barashev ◽  
Yu.N. Osetsky
Keyword(s):  
Computer Simulation ◽  
Radiation Damage ◽  
Defect Formation ◽  
Irradiation Temperature ◽  
Cascade Process ◽  
Successful Development ◽  
Defect Production ◽  
Displacement Cascades ◽  
Frenkel Defects ◽  
Atom Energy

AbstractRecent research using molecular dynamics to simulate radiation damage due to displacement cascades in metals is reviewed. It includes results dealing with the effect on defect formation of primary knock-on atom energy and irradiation temperature. Clear dependencies and trends have emerged in these areas. In terms of the development of models to describe the evolution of radiation damage microstructure, the important parameters are not only the total number of Frenkel defects but also the distribution of their population in clusters and the form and mobility of these clusters. Results on these aspects are reviewed and it is shown that computer simulation is providing detailed information that paves the way for successful development of models of the evolution of damage beyond the stage of the cascade process.

Experimental Studies and Computer Simulation of Permeability Determination of Porous SiC Preforms

2013 ◽  
Vol 873 ◽  
pp. 391-400 ◽  
Author(s):  
Meng Jian Zhu ◽  
Shun Li ◽  
Xun Zhao ◽  
De Gan Xiong
Keyword(s):  
Computer Simulation ◽  
Defect Formation ◽  
Experimental Studies ◽  
Matrix Composites ◽  
Pressure Infiltration ◽  
Porous Sic ◽  
Sic Reinforcement ◽  
Key Parameter ◽  
Sic Particle

Permeability of SiC preform is a key parameter during the pressure infiltration studies of molten metal (Copper and Aluminium alloy) into porous SiC preforms during preparation of SiC particle reinforced metal matrix composites (MMC) with high content of SiC reinforcement. Its characterization could be quite helpful to reveal the defect formation mechanism of the composite productions and further optimize the preparation processes of such composites. The objectives of this study were to assess the pore distribution and determine the permeability of porous SiC preforms. We compared the values of permeability obtained from experimental data, calculation by Carman-Kozeny equation and simulation of micro-models. The results of experiment illustrated that permeability were 0.64 × 10-12m2(ε=30%), 1.76 × 10-12m2(ε=37%) and 10.20 × 10-12m2(ε=44%) respectively, which are quite similar to the value both of calculation and computer simulation. Additionally, results indicate that the permeability substantially affected by porosity and both size and shape of filling particles into SiC preform.

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