scholarly journals New Method for Determining the Machine-Hand Welding Times Using Ultrasonic Welding Machines with Rotary Sonotrode

Machines ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 330
Author(s):  
Dubravko Rogale ◽  
Snježana Firšt Rogale ◽  
Željko Knezić ◽  
Siniša Fajt
Keyword(s):  
Ultrasonic Welding ◽  
Polymer Materials ◽  
New Method ◽  
Technological Parameters ◽  
New Model ◽  
Technical Parameters ◽  
Technical Textiles ◽  
Mathematical Expressions ◽  
Systematic Development ◽  
Relationship Of

The paper presents a new method for determining the machine-hand welding times of synthetic polymer materials using ultrasonic welding machines with rotary sonotrode. The method is based on the claims and observations of W. Möller intended for the clothing industry in the 1990s, according to which there is a spontaneous drop in sewing speed when strongly curved seams are joined, which is due to the possibility of human reactions. The method for determining machine-hand sewing times of curved seams was well accepted in garment production processes. It is used to standardize production time. Using ultrasonic welding machines with rotary sonotrode, the problem of determining the time of ultrasonic joining of curved seams on clothing or technical textiles remained unsolved. That is why is completely new and original model was created, which combines eight technical parameters of ultrasonic welds, eight technological parameters of the production process and seven ergonomic parameters depending on the psychophysical conditions of the workers. The systematic development of the mathematical relationship of all 23 parameters mentioned and the corresponding mathematical expressions for determining and calculating these parameters are presented. These results were also verified by experimental measurements, which show a favourable correlation between the calculated and measured machine hand times. The relationships between the recommended welding speeds, the critical radii of curvature and the number of reactions required according to Möller and the new model are also presented. An analysis of the success in the application of Möller’s and the new model was also performed.

Preparation of Composite Ground Calcium Carbonate in Ca(OH)2–H2O–CO2 System and Characterization

2011 ◽  
Vol 287-290 ◽  
pp. 548-552
Author(s):  
Chao Huo ◽  
Jia Yuan Shen ◽  
Qing Hua Xia
Keyword(s):  
Calcium Carbonate ◽  
Rough Surface ◽  
Weight Ratio ◽  
Polymer Materials ◽  
Technological Parameters ◽  
Technical Parameters ◽  
Composite Ground ◽  
Higher Temperature ◽  
Ground Calcium Carbonate ◽  
Key Parameter

Ground calcium carbonate (GCC) is usually of smooth/flat surface and pointed edges angles which have disadvantageous effects on the mechanical properties of composite polymer materials filled with the powder. Nanometer calcium carbonate reactants would deposit, nucleate and grow on surface of ground calcium carbonate with micron grain size by adjusting suitable technical parameters in Ca(OH)2–H2O–CO2 system. Compared with the uncoated powder, composite ground calcium carbonate (CGCC) is of rough surface, blunt edges, larger specific surface area, larger in whiteness. In this paper, we reported the successful preparation of CGCC particles, and found GCC/Ca(OH)2 weight ratio was the key parameter. Some technological parameters were mainly analyzed for the coating process. Furthermore, We also prepared nanosized calcium carbonate coating GCC at higher temperature (40 °C) using additives. Filling tests showed that a rough surface of the CGCC enhanced contact opportunities and improved the interface between polymer and CGCC blended with polypropylene (PP).

LENS CLASSIFICATION ACCORDING TO THE TYPE OF LIGHT SPOT USING A NEURAL NETWORK

2020 ◽  
Vol 2020 (4) ◽  
pp. 4-14
Author(s):  
Vladimir Budak ◽  
Ekaterina Ilyina
Keyword(s):  
Neural Network ◽  
Light Intensity ◽  
Convolutional Neural Network ◽  
Deep Convolutional Neural Network ◽  
Beam Angle ◽  
New Model ◽  
Technical Parameters ◽  
Transfer Training ◽  
Trained Network

The article proposes the classification of lenses with different symmetrical beam angles and offers a scale as a spot-light’s palette. A collection of spotlight’s images was created and classified according to the proposed scale. The analysis of 788 pcs of existing lenses and reflectors with different LEDs and COBs carried out, and the dependence of the axial light intensity from beam angle was obtained. A transfer training of new deep convolutional neural network (CNN) based on the pre-trained GoogleNet was performed using this collection. GradCAM analysis showed that the trained network correctly identifies the features of objects. This work allows us to classify arbitrary spotlights with an accuracy of about 80 %. Thus, light designer can determine the class of spotlight and corresponding type of lens with its technical parameters using this new model based on CCN.

scholarly journals On Newcomb's method of investigating periodicities and its application to Brückner's weather cycle

1914 ◽  
Vol 90 (619) ◽  
pp. 349-355
Keyword(s):  
Thermal Radiation ◽  
The Other ◽  
New Method ◽  
Critical Examination ◽  
Numerical Work ◽  
Average Value ◽  
Other Hand ◽  
Relationship Of ◽  
The Relationship ◽  
Great Simplicity

During the last few years of his life Prof. Simon Newcomb was keenly interested in the problem of periodicities, and devised a new method for their investigation. This method is explained, and to some extent applied, in a paper entitled "A Search for Fluctuations in the Sun's Thermal Radiation through their Influence on Terrestrial Temperature." The importance of the question justifies a critical examination of the relationship of the older methods to that of Newcomb, and though I do not agree with his contention that his process gives us more than can be obtained from Fourier's analysis, it has the advantage of great simplicity in its numerical work, and should prove useful in a certain, though I am afraid, very limited field. Let f ( t ) represent a function of a variable which we may take to be the time, and let the average value of the function be zero. Newcomb examines the sum of the series f ( t 1 ) f ( t 1 + τ) + f ( t 2 ) f ( t 2 + τ) + f ( t 3 ) f ( t 3 + τ) + ..., where t 1 , t 2 , etc., are definite values of the variable which are taken to lie at equal distances from each other. If the function be periodic so as to repeat itself after an interval τ, the products are all squares and each term is positive. If, on the other hand, the periodic time be 2τ, each product will be negative and the sum itself therefore negative. It is easy to see that if τ be varied continuously the sum of the series passes through maxima and minima, and the maxima will indicated the periodic time, or any of its multiples.

scholarly journals Edusemiotics as process semiotics: Towards a new model of semiosis for teaching and learning

Semiotica ◽  
2016 ◽  
Vol 2016 (212) ◽  
pp. 45-57 ◽  
Author(s):  
Andrew Stables
Keyword(s):  
Teaching And Learning ◽  
New Model ◽  
Relationship Of ◽  
The Relationship

AbstractStandard definitions posit the sign as a discrete entity in relation with other signs and standing for an object (either physical or psychological). Thus the sign has two roles, as prompt and as substitutive representation. The latter raises difficult questions about the relationship of the semiotic to the non-semiotic or pre-semiotic, which can be resolved logically (as in Peirce) or rejected as unanswerable (as in Saussure), but which can never be satisfactorily resolved empirically as the phenomenal cannot be divorced from the semiotic. This impasse can be resolved if we drop the assumption that the sign is essentially substitutive. The assumption of discrete entities, at either the phenomenal or the noumenal levels, is a function of discredited substance metaphysics. On a process metaphysical account, the reality of the sign is not attached to the discreteness of any pre-existing entity. The sign remains as prompt and as relational but not (other than sometimes with respect to other signs) substitutive. Rather than defined as standing for an object, the sign can now be regarded much more simply as a feature of an event. This conception of the sign is explored in terms of its implications for teaching and learning.

The judicial review of legality

2021 ◽  
Author(s):  
Natalie R. Davidson ◽  
Leora Bilsky
Keyword(s):  
Judicial Review ◽  
Constitutional Law ◽  
New Model ◽  
Substantive Content ◽  
Comparative Constitutional Law ◽  
Recent Developments ◽  
Relationship Of

In comparative constitutional law, the various models of judicial review require courts to examine either the substantive content of legislation or the procedure through which legislation was passed. This article offers a new model of judicial review – ‘the judicial review of legality’ – in which courts review instead the forms of law. The forms of law are the ways in which law communicates its norms to the persons who are meant to comply with them, and they include generality, clarity, avoidance of contradiction, and non-retroactivity. Drawing on recent writing on the jurisprudence of Lon Fuller, this article argues that Fuller’s linking of the forms of law to a relationship of reciprocity between government and governed can ground judicial review and that such review provides a missing language to address important legislative pathologies. Moreover, through an analysis of recent developments in Israel, the article demonstrates that the judicial review of legality targets some of the key legal techniques of contemporary processes of democratic erosion which other models of judicial review struggle to address, all the while re-centring judicial review on the lawyer’s craftsmanship and thus reducing problems of court legitimacy. This article therefore offers a distinctive and normatively appealing way for courts to act in troubling times.

scholarly journals Optimization of tablet formulation containing ginger dry extract

2020 ◽  
Vol 33 (2) ◽  
pp. 90-93
Author(s):  
Walid A.A. Malek ◽  
Olena Anatoliivna Ruban ◽  
Olga V. Kutova ◽  
Nataliia A. Herbina
Keyword(s):  
Tablet Formulation ◽  
Regression Equations ◽  
Diabetes Treatment ◽  
Optimal Composition ◽  
European Pharmacopoeia ◽  
Technological Parameters ◽  
Mathematical Methods ◽  
Dry Extract ◽  
Technical Parameters ◽  
Effective Drugs

AbstractIntroduction. Diabetes mellitus is one of the world’s most common diseases, therefore the development and introduction of new effective drugs for diabetes treatment into clinical practice is an important task for the health systems of many countries of the world.Aim. The aim of our work was to determine and substantiate the quantitative ratio of excipients for the development of the optimal composition of directly compressible ginger dry extract tablets.Materials and methods. To choose the optimal composition of tablets containing ginger dry extract, the effect of various quantitative ratios of the excipients Kollidon K30 and Neusilin UFL 2 on tablet mass pharmaceutical technical parameters, determined by established methods, was studied. For processing the experimental data, mathematical methods were used: design of experiment, regression analysis and a technique based on the theory of vector optimization.Results. The interrelation between factors that were studied and technological parameters of tablet mass and compressed tablets were analyzed using regression equations.Conclusions. The studies conducted allowed to chose the optimal composition of ginger dry extract tablets: ginger dry extract – 60%, Galen IQ 721 – 34.5%, Kollidon K30 – 3.5%, Neusilin UFL 2 – 1%, calcium stearate – 1%. The chosen tablet formulation is characterized by pharmaceutical technical parameters meeting the requirements of the European Pharmacopoeia and the State Pharmacopoeia of Ukraine.

Positronium Thermalization Process in Nanoporous Materials and its Influence on the Shape of PALS Spectrum

2008 ◽  
Vol 607 ◽  
pp. 39-41
Author(s):  
Jerzy Kansy ◽  
Radosław Zaleski
Keyword(s):  
Mesoporous Silica ◽  
Pore Size Distribution ◽  
Porous Materials ◽  
Pore Size ◽  
Size Distribution ◽  
Nanoporous Materials ◽  
New Method ◽  
New Model ◽  
Conventional Models ◽  
Mcm 41

A new method of analysis of PALS spectra of porous materials is proposed. The model considers both the thermalization process of positronium inside the pores and the pore size distribution. The new model is fitted to spectra of mesoporous silica MCM-41 and MSF. The resulting parameters are compared with parameters obtained from fitting the “conventional” models, i.e. a sum of exponential components with discrete or/and distributed lifetimes.

scholarly journals A Hybrid Grey Prediction Model for Small Oscillation Sequence Based on Information Decomposition

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Meng Zhou ◽  
Bo Zeng ◽  
Wenhao Zhou
Keyword(s):  
Prediction Model ◽  
Small Oscillation ◽  
New Method ◽  
Superior Performance ◽  
Small Data ◽  
Grey Prediction ◽  
New Model ◽  
Grey Prediction Model ◽  
Proposed Model ◽  
Oscillation Characteristic

Grey prediction model has good performance in solving small data problem, and has been widely used in various research fields. However, when the data show oscillation characteristic, the effect of grey prediction model performs poor. To this end, a new method was proposed to solve the problem of modelling small data oscillation sequence with grey prediction model. Based on the idea of information decomposition, the new method employed grey prediction model to capture the trend characteristic of complex system, and ARMA model was applied to describe the random oscillation characteristic of the system. Crops disaster area in China was selected as a case study and the relevant historical eight-year data published by government department were substituted to the proposed model. The modelling results of the new model were compared with those of other traditional mainstream prediction models. The results showed that the new model had evidently superior performance. It indicated that the proposed model will contribute to solve small oscillation problems and have positive significance for improving the applicability of grey prediction model.

scholarly journals Unsteady-State Mathematical Modeling of Hydrocarbon Feedstock Pyrolysis

Processes ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 1394
Author(s):  
Igor Dolganov ◽  
Ajur Bunaev ◽  
Irena Dolganova
Keyword(s):  
Raw Materials ◽  
Polymer Materials ◽  
Coke Deposition ◽  
Side Reactions ◽  
Unsteady State ◽  
Technological Parameters ◽  
Ethylene Concentration ◽  
Hydrocarbon Feedstock ◽  
Hydrocarbon Pyrolysis ◽  
Propane Butane

Hydrocarbon feedstock pyrolysis is an important method for obtaining monomers that are then used to produce various polymer materials. During this process, a mixture of hydrocarbons is heated at a high temperature and in the absence of oxygen. Because of the side reactions of polymerization and polycondensation, coke products are formed and settle on the inner walls of the coil. This decreases the technical efficiency of the hydrocarbon pyrolysis furnace during its operation, making the process unsteady. In the present research, we developed an unsteady-state mathematical model of hydrocarbon feedstock pyrolysis in order to improve the monitoring, forecasting, and optimization of this technological process. This model can calculate the rate of coke deposition along the length of the coil, considering the technological parameters and the composition of the supplied raw materials (the calculated value of coke deposition rate equals 0.01 mm/day). It was shown that with an increase in the propane/butane ratio from 4/1 to 1/4 mol/mol, the ethylene concentration decreases from 3.45 mol/L to 3.35 mol/L.

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