Research on 3D Temperature Distribution Model based on Affine Projection and Feature Registration

2018 ◽  
Author(s):  
HongYu Wang ◽  
Chengdong Wu ◽  
Tong Jia ◽  
Dongxue Li ◽  
Yang Jiang ◽  
...  
Keyword(s):  
Temperature Distribution ◽  
Distribution Model ◽  
Affine Projection ◽  
Model Based ◽  
Feature Registration

3D temperature distribution model based on vision method

2016 ◽  
Author(s):  
Tong Jia ◽  
Mo Tu ◽  
Yuli Jiang ◽  
Shuai Zhang
Keyword(s):  
Temperature Distribution ◽  
Distribution Model ◽  
Model Based

Shear strength and temperature distribution model of friction spot lap joint of high density polyethylene with aluminum alloy 7075

2019 ◽  
Vol 10 (4) ◽  
pp. 469-483 ◽  
Author(s):  
Isam Tareq Abdullah ◽  
Sabah Khammass Hussein
Keyword(s):  
Shear Strength ◽  
Temperature Distribution ◽  
High Density Polyethylene ◽  
Contact Region ◽  
High Density ◽  
Distribution Model ◽  
Lap Joint ◽  
Content Type ◽  
Rotating Speed ◽  
Model Of Friction

Purpose The purpose of this paper is to join a sheet of the AA7075 with the high-density polyethylene (HDPE) by a lap joint using friction spot processing and investigate the temperature distribution of joint during this process using the finite element method (FEM). Design/methodology/approach A semi-conical hole was manufactured in the AA7075 specimen and a lap joint configuration was prepared with the HDPE specimen. A rotating tool was used to generate the required heat to melt the polymer by the friction with the AA7075 specimen. The applied tool force moved the molten polymer through the hole. Four parameters were used: lower diameter of hole, rotating speed, plunging depth and time. The results of shear test were analyzed using the Taguchi method. A FEM was presented to estimate the temperature distribution of joint during the process. Findings All specimens failed by shearing the polymer at the lap joint region without dislocation. The specimens of the smallest diameter exhibited the highest shear strength at the lap joint. The maximum ranges of temperature were recorded at the contact region between the rotating tool and the AA7075 specimen. The tool plunging depth recorded the highest effect on the generated heat compared with the rotating speed and plunging time. Originality/value For the first time, the AA7075 sheet was joined with the HDPE sheet by friction spot processing. The temperature distribution of this joint was simulated using the FEM.

scholarly journals RELATION BETWEEN PORE MODEL AND CENTER-LINE TEMPERATURE IN HIGH BURN-UP UO2 PELLET

2010 ◽  
Vol 7 (2) ◽  
pp. 147-153
Author(s):  
Suwardi Suwardi
Keyword(s):  
Thermal Properties ◽  
Temperature Distribution ◽  
Power Distribution ◽  
Distribution Model ◽  
Center Line ◽  
Pore Model ◽  
Pellet Temperature ◽  
Typical Data ◽  
Line Temperature ◽  
Centerline Temperature

Relation between pore model and center-line temperature of high burn up UO2 Pellet. Temperature distribution has been evaluated by using different model of pore distribution. Typical data of power distribution and coolant data have been chosen in this study. Different core model and core distribution model have been studied for related temperature, in correlation with high burn up thermal properties. Finite element combined finite different adapted from Saturn-1 has been used for calculating the temperature distribution. The center-line temperature for different pore model and related discussion is presented.   Keywords: pore model, high burn up, UO2 pellet, centerline temperature.

scholarly journals SIS dynamic network model based on product semantics from the perspective of infectious disease dynamics

2021 ◽  
Vol 235 ◽  
pp. 03035
Author(s):  
jiaojiao Lv ◽  
yingsi Zhao
Keyword(s):  
Network Model ◽  
Purchase Intention ◽  
Recommendation System ◽  
Optimal Algorithm ◽  
Dynamic Network ◽  
Distribution Model ◽  
Recommendation Algorithm ◽  
Model Based ◽  
Dynamic Network Model ◽  
Recommendation Algorithms

Recommendation system is unable to achive the optimal algorithm, recommendation system precision problem into bottleneck. Based on the perspective of product marketing, paper takes the inherent attribute as the classification standard and focuses on the core problem of “matching of product classification and recommendation algorithm of users’ purchase demand”. Three hypotheses are proposed: (1) inherent attributes of the product directly affect user demand; (2) classified product is suitable for different recommendation algorithms; (3) recommendation algorithm integration can achieve personalized customization. Based on empirical research on the relationship between characteristics of recommendation information (independent variable) and purchase intention (dependent variable), it is concluded that predictability and difference of recommendation information are not fully perceived and stimulation is insufficient. Therefore, SIS dynamic network model based on the distribution model of SIS virus is constructed. It discusses the spreading path of recommendation information and “infection” situation of consumers to enhance accurate matching of recommendation system.

Performance of a species distribution model based on presence/absence for various population sizes in the amphidromous fish species Sicyopterus japonicus

2013 ◽  
Vol 61 (1) ◽  
pp. 90-96 ◽  
Author(s):  
Norio Onikura ◽  
Ryutei Inui ◽  
Shin Oikawa ◽  
Tomonori Kawamoto
Keyword(s):  
Fish Species ◽  
Species Distribution ◽  
Species Distribution Model ◽  
Distribution Model ◽  
Model Based ◽  
Population Sizes

Research on the Pre-distribution Model Based on Seesaw Model

2017 ◽  
pp. 201-213 ◽  
Author(s):  
Mingshan Xie ◽  
Yanfang Deng ◽  
Yong Bai ◽  
Mengxing Huang ◽  
Zhuhua Hu
Keyword(s):  
Distribution Model ◽  
Seesaw Model ◽  
Model Based

scholarly journals DGA and Weibull Distribution Model-based Transformer Fault Early Warning

2019 ◽  
Vol 569 ◽  
pp. 032072
Author(s):  
Pei Yang ◽  
Sen Pan ◽  
Jing Jiang ◽  
Wei Rao ◽  
Junfeng Qiao
Keyword(s):  
Weibull Distribution ◽  
Early Warning ◽  
Distribution Model ◽  
Model Based ◽  
Transformer Fault
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