Study on Registering Accuracy and Precision in Test of Printing Press

2011 ◽  
Vol 117-119 ◽  
pp. 1736-1739
Author(s):  
Ji Bin Zhao ◽  
Xiu Li Li
Keyword(s):  
Mathematical Models ◽  
Printing Press ◽  
Accuracy And Precision ◽  
Wear And Tear ◽  
Assembly Precision ◽  
Register Error ◽  
Manufacturing Stage

The registering precision is one of the most important specifications in printing press. Many factors that may influence the registering precision including the construction of the printing press in design, the assembly precision in manufacturing stage, adjustment in process of operation, the wear and tear of the machine when it is in use, crawl of blanket and extension of sheet are all considered comprehensively. The mathematical models are built up to describe the register error of press. The algorithm of accuracy and precision of sheet-feeding and sheet-transferring is introduced. With the aid of image technology, the coordinates of marks can be obtained automatically, and the registering accuracy and precision can also be calculated.

Reliability of Energy Dispersive X-Ray Fluorescence of Low-Alloy Steels

1977 ◽  
Vol 21 ◽  
pp. 43-49
Author(s):  
B. H. Strauss ◽  
F. P. Valente
Keyword(s):  
Mathematical Models ◽  
Multiple Regression ◽  
Energy Dispersive ◽  
Low Alloy Steels ◽  
X Ray ◽  
Accuracy And Precision ◽  
Alloy Steels ◽  
Reference Samples

The reliability of energy dispersive x-ray fluorescence data for the analysis of low-alloy steels is reported for chromium, manganese, nickel, and molybdenum. The accuracy and precision of the analysis were evaluated for two mathematical models, linear and multiple regression, using twelve NBS standard reference samples. Data on results are furnished.

scholarly journals Prediction of Microbial Population in Sorghum Fermentation through Mathematical Models

REAKTOR ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 152-161
Author(s):  
Umi Laila ◽  
Rifa Nurhayati ◽  
Tyas Utami ◽  
Endang Sutriswati Rahayu
Keyword(s):  
Lactic Acid ◽  
Lactic Acid Bacteria ◽  
Mathematical Models ◽  
Microbial Population ◽  
Gompertz Model ◽  
Coliform Bacteria ◽  
Coefficient Of Determination ◽  
Spontaneous Fermentation ◽  
Accuracy And Precision ◽  
Schnute Model

The mathematical models can be used as a tool in predicting microbial population in sorghum fermentation, either spontaneous fermentation or fermentation with the addition of lactic acid bacteria (LAB) inoculum. Gompertz model modified by Gibson, Gompertz model modified by Zwietering, Baranyi-Robert model, Fujikawa model, Richards model, Schnute model were used in predicting the growth of lactic acid bacteria (LAB) and coliform bacteria during spontaneous fermentation, and also the growth of LAB during fermentation with the addition of inoculum. Meanwhile, there was death (inactivation) of coliform bacteria during sorghum fermentation with the addition of LAB inoculum. The Geeraerd model and the Gompertz model modified by Gil et al. were used to predict the inactivation. The accuracy and precision of models were evaluated based on the Root Mean of Sum Square Error (RMSE), coefficient of determination (R2), and curve fitting. Gompertz model modified by Gibson had the highest accuracy and precision, which was followed by the accuracy of the Fujikawa model and Baranyi-Robert model in predicting the growth of LAB and the growth of coliform bacteria during spontaneous fermentation. Meanwhile, in predicting LAB growth during fermentation with the addition of inoculum, high accuracy and precision was obtained from Richards and Schnute models. In predicting the inactivation of coliform bacteria, Geeraerd model provided higher accuracy and precision compared to Gompertz model modified by Gil et al. Keywords: fermentation; inoculum; mathematical; model; sorghum; spontaneous

Research on Web Press Printing without Ink Detector

2011 ◽  
Vol 411 ◽  
pp. 630-633
Author(s):  
Yi Jun Chen ◽  
Er Gang Kou ◽  
Qing Hai Zhao
Keyword(s):  
High Precision ◽  
Optical Sensors ◽  
Conveyor Belt ◽  
Printing Press ◽  
Precision Machine ◽  
Business Efficiency ◽  
Design Requirements ◽  
Printing Ink ◽  
Assembly Precision

Printing press manufacturers need to detect assembled machine whether the printing is qualified. This wastes a lot of paper, ink and human, and is not conducive to business efficiency. In this paper, through analysis of web press, the instrument is developed that takes the paper to detect the offset with non-printing ink on the printing press, through high-precision optical sensors, it can get the offset of conveyor belt material in the course of the amount of deviation. The amount of assembly precision machine is detected based on deviation; Then design a circuit tester hardware and software; Finally, the detector was tested, the results show that the detector is designed to achieve the design requirements.

Research on the register system modelling and control of gravure printing press

2011 ◽  
Vol 226 (3) ◽  
pp. 626-635 ◽  
Author(s):  
J Li ◽  
X Mei ◽  
T Tao ◽  
S Liu
Keyword(s):  
Mathematical Model ◽  
High Performance ◽  
Printing Press ◽  
System Modelling ◽  
Gravure Printing ◽  
Feed Forward ◽  
Feed Forward Control ◽  
Control Scheme ◽  
Speed Fluctuation ◽  
Register Error

The register accuracy is the most important performance of gravure printing press. In order to improve the control accuracy of register, an accurate mathematical model of the register error and a high-performance controller should be researched. In this article, the mathematical model of the register error and the elimination of interference caused by the speed and tension of web by the feed-forward control scheme are studied. The established mathematical model and the feed-forward control scheme are validated by the numerical simulation and multi-colour gravure printing press test. The results show that the established register error model is accurate and reliable, and the designed feed-forward control scheme effectively reduces the register error caused by the tension and speed fluctuation.

scholarly journals Evaluation of mathematical models to describe lamb growth during the pre-weaning phase

2021 ◽  
Vol 42 (3Supl1) ◽  
pp. 2073-2080
Author(s):  
Antonio Leandro Chaves Gurgel ◽  
◽  
Gelson dos Santos Difante ◽  
João Virgínio Emerenciano Neto ◽  
Henrique Jorge Fernandes ◽  
...  
Keyword(s):  
Mathematical Models ◽  
Mean Square Error ◽  
Growth Curve ◽  
Growth Patterns ◽  
The Body ◽  
Coefficient Of Determination ◽  
Genetic Constitution ◽  
Mean Square ◽  
Linear Quadratic ◽  
Accuracy And Precision

The aim of this study was to evaluate the use of different mathematical models to describe the growth of lambs during the pre-weaning phase and the effect of sex on their growth curve. Data from 51 lambs (26 males and 25 females) with a genetic constitution of at least 50% Santa Inês breed were used. Lamb weight was monitored during the entire pre-weaning phase (91 days) by weighing the animals weekly on a scale suitable for sheep, to draw the body-weight growth curve. The adequacy of the models was evaluated by the coefficient of determination, simultaneous F-test for parameter identity, concordance correlation coefficient, root mean square error of prediction and decomposition of the mean square error of prediction. Pairwise mean square error of prediction analysis and delta Akaike information criterion were used to compare the models in terms of accuracy and precision. The evaluation of the adequacy of the tested models showed that the data predicted by the linear, quadratic and exponential models were similar (P > 0.05) to the observed data. In contrast, the monomolecular model generated predictions that could not be accepted as true. The linear and quadratic models showed better accuracy and precision. The first-degree linear model should be preferred over the other studied models to describe growth of sheep in the preweaning phase. Males and females exhibited distinct growth patterns.

A method to assess reliability and life of selected aircraft components suffering from cumulative effect of destructive processes – an outline

2012 ◽  
Vol 30 (1) ◽  
pp. 91-108
Author(s):  
Henryk Tomaszek ◽  
Ryszard Kaleta ◽  
Mariusz Zieja
Keyword(s):  
Boundary Condition ◽  
Mathematical Models ◽  
Cumulative Effect ◽  
Second Line ◽  
Diagnostic Parameter ◽  
Structural Components ◽  
Diagnostic Parameters ◽  
Wear And Tear ◽  
The Moment ◽  
Destructive Processes

There are two main directions to be distinguished while investigating into the wear-and-tear processes going on within the aircraft’s structural components throughout the operational phase. The first one covers the efforts to explain the physics of the wear-and-tear processes whereas the second one has been intended to generate mathematical models that describe the way how the effects of the wear-and-tear processes accumulate and provoke changes in values of diagnostic parameters. This paper represents the second line of interest and covers the model that formalises the process of the accumulation of effects of the aircraft component’s wear-and-tear up to the moment the permissible boundary condition is reached. What has been used in the below-presented model is the distribution of time of the aircraft structure in service up to the moment the diagnostic parameter reaches the boundary condition. Finally, a numerical example has been presented.

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