Prototype Samples Research Articles

Development of low carbon and energy-efficient geopolymer-based paving blocks

The development of energy-efficient and low-carbon geopolymer-based paving blocks made from waste, as an environmental-friendly material, was evaluated. Ground concrete (GC) and solid brick (SB) powder, as the representatives of construction and demolition waste (C&DW), with the addition of fly ash (FA) and silica fume (SF), were used. Waste samples were characterized in terms of surface functional groups and radioactivity. The FT-IR spectra showed the required amorphous or semi-crystalline alumino-silicate structure. The gamma spectrometry confirmed waste samples' radiological safety. Hardened geopolymer samples were subjected to physical-mechanical investigation comprising of density, water content, compressive and flexural strengths determination. Based on strength characteristics, the three best prototype mixtures were selected and subjected to further compressive strength determination and durability assessment. Prototype sample SBFASFp1, with a compressive strength of 18.7 MPa, was shown the highest value of all samples, almost the same as the corresponding SBFASF1 sample. Freeze-thaw and the subsequent carbonation tests, as durability indicators, showed that the SBFASF1 sample had the slightest strength decrease, making it most durable in these conditions. These satisfactory test results showed the favorable effects of alternatives to cementitious materials, encouraging their utilization and contributing to the sustainability of the construction sector.

Attentive Pooling Network for Few-Shot Learning

Few-shot learning has become essential for generating neural network models that can generalize to novel classes given only a few labeled samples. Previous studies mostly focused only on building a class prototype via the relations between intra-class sample features and adopted the prototype to classify the target samples. Considering that the number of labeled samples is typically limited under few-shot settings, the use of these methods to produce representative prototypes for classification may not be efficient. To this end, in this study, we propose an attentive pooling network (APNet), which establishes the relationship between the prototype and target sample feature to highlight their important regions. APNet selectively assigns higher weights to the local features with higher relative importance scores in the prototype and the target feature map. By minimizing the classification loss through supervised learning, APNet learns to produce prototypes that are specific to the target feature based on the relative importance scores. To verify the effectiveness of APNet, we compared it with the existing methods on two popular few-shot learning datasets, and APNet outperforms the related methods by achieving 71.12% and 77.58% classification accuracy in the 5-shot setting on the miniImageNet and CUB datasets, respectively.

Imaging a microfocus X-ray focal spot with a thin coded aperture

Imaging of the focal spot size in X-ray generators can be achieved by means of a pinhole in a highly attenuating material, such as gold. For microfocus generators with spot sizes of only around 10 microns or less, the material must be very thin to avoid an impractical aspect ratio. With a 90 kV source, only 11% attenuation is attained with 5 µm gold. For a pinhole that is smaller than the focal spot, the signal-to-noise ratio (SNR) may be less than 1. To image the focal spot of a medical X-ray generator, a coded aperture has been used previously to reduce the exposure time required, however the same technique does not appear to have been used to increase the SNR when the attenuation is very low. Such a method is used here, using a no-two-holes-touching variation of a modified uniformly redundant array (MURA). In a prototype sample, with only 5 µm gold having 2.75 µm holes, the focal spot of a microfocus X-ray generator used in a micro-CT system could be clearly visualised and quantified. Directionality of the aberrations made focussing of the X-ray spot more intuitive and reduced the time required to obtain an optimal, quantifiable focus.

SLIPPING MOTION IN NUTLESS PLANETARY ROLLER SCREW MECHANISMS OF LINEAR ELECTROMECHANICAL DRIVES

Rolling screw mechanisms, used in linear electromechanical drives, have many advantages and disad-vantages as well. The most important of these is slipping. The most promising roller screw mechanisms are planetary roller screw mechanisms, the manufacture of threaded parts of which requires expensive special machines manufactured by Western companies. Taking into account the import substitution strategy, nut-less roller screw mechanisms (NRSM) were developed and patented in Russia, in which a threaded part that is the most difficult to manufacture, namely a nut, the high-precision internal multistart thread of which is tempered to a high hardness, is absent. Using domestic universal machines, prototype NRSM samples were made, which were subject to comprehensive experimental studies. It turned out that the neg-ative impact of slipping is felt to a greater extent for prototype NRSM samples than for known designs of planetary roller screw mechanisms. To reduce this impact, the paper considers in detail the process of slipping and the main reasons that cause it. In addition, the results of experimental studies of this phe-nomenon using prototype samples are analyzed. It turned out that the slipping motion depends on: the value of the angular velocity of the input link of the mechanism, the value of the axial force that the out-put link of the mechanism overcomes over the full (forward and reverse) stroke, the manufacturing accuracy of threaded parts of NRSM, the direction of the axial force (along the longitudinal axis x or against it). The latter is an important scientific finding in the study of the slipping motion in NRSM. Another rea-son for a slipping motion is the design feature of the prototype sample, which had rollers with a modified profile. Usually, the profile of the roller turns is drawn along the arc of the circle, the center of which is located on the roller axis. The modified profile of the roller turns consists of three series-connected straight line segments, which affects the transmission ratio of the mechanism. For comparison, it is neces-sary to perform an experiment with a mechanism having rollers with a traditional profile of turns.

Ветчина рубленая с добавлением лактулозы и пищевой добавки «Глималаск» для геродиетического питания

Aim. To develop a line of meat products – chopped gerodietic ham using various types of meat raw materials, lactulose and Glimalask food additive, which has a reduced fat and sucrose content and an increased protein content and basal metabolic rate (BMR). Materials and Methods. The objects of the study were: samples of boiled ham, made in accordance with GOST 31790-2012 and the author's recipe, with the addition of lactulose and Glimalask food additive. In the preparation of control and experimental samples, the following was used: chilled beef of category I – according to GOST 34120-2017, broiler chicken fillet – according to GOST 31936-2012, trimmed lean pork without visible inclusions of adipose tissue, chilled – according to GOST 31476-2012, nitrite salt – according to GOST R 58859-2020, granulated sugar – according to GOST 33222-2015, lactulose "Premium" – according to TU 9197-055-54863068-2014, Glimalask complex food additive (TU 2639-182-10514645-12), food phosphate Hamifos 304 (sodium triphosphate 5-substituted (E451i), P2O5 content of at least 56.0% (manufacturer: Fosfa a.s., Czech Republic); drinking water – according to GOST R 51232-98. Development and research of control and prototype samples were carried out according to generally accepted methods in accordance with regulatory and technical documentation. Organoleptic quality indicators of samples in the course of research were determined in accordance with GOST 9959-2015. A 5-point scale was used taking into account the weight coefficient of organoleptic indicators. Mass fraction of sodium chloride (common salt) was determined according to GOST 9957-2015. Mass fraction of protein was determined according to GOST 25011-2017. Mass fraction of fat was determined according to GOST 23042-2015. Mass fraction of nitrite was determined according to GOST 29299-92. Results. Recipes and a technological scheme of boiled gerodietic ham with a high protein content, no added sugar and low fat content, which have high consumer qualities without compromising organoleptic characteristics, have been developed. Conclusion. The expediency of using lactulose and Glimalask food additive in the production of chopped ham with partial replacement of pork with broiler breast meat and beef has been substantiated. The created chopped ham recipes expand the range of meat products belonging to the category of gerodietic nutrition.

Изучение органолептических и физико-химических свойств сыровяленых продуктов из мяса кролика

Aim. Study of the organoleptic, physical and chemical indicators of dry-cured snacks from rabbit meat using the Glimalask food additive. Materials and Methods. In the course of the research, standardized methods of analysis were used. The object of the study were two samples of products - dry-cured meat snacks from rabbit meat, produced according to the traditional technology of dry-cured meat products according to the developed recipes. For the development of laboratory samples, a marinade based on soy sauce, water and a complex of spices was used, while the Glimalask food additive (TС 2639-182-10514645-12) was additionally introduced into the experimental sample. To identify the indicators, standardized analysis methods were used: pH was determined according to GOST R 51478-99, water-binding capacity, water activity index, total moisture content – by drying, protein – by the Kjeldahl method and fat – by extraction method. The organoleptic evaluation of the obtained snacks was carried out using a nine-point scale in accordance with GOST 9959-2015. Results. Organoleptic evaluation: appearance, juiciness, consistency, color and taste, of the studied samples was carried out after drying. Thus, the prototype sample was rated higher than the control one, this is due to the use of the Glimalask food additive, which provided brighter taste and aroma characteristics and increased the juiciness of the snacks after the completion of the heat treatment. Next, the physicochemical parameters of the developed products were studied. It was revealed that in the test sample there was an increased protein content – more by 1.1%, moisture was less by 0.7% compared to the control, and the test sample of snacks was characterized by a high yield. Conclusion. Based on the results of the studies, it can be concluded that the use of the Glimalask food additive in the marinade recipe for the manufacture of dry-cured snacks did not have a negative impact on the finished product and contributed to the improvement of the taste, aroma and consistency of the finished products. The developed product has high consumer characteristics, meets the task of expanding the range of rabbit meat products. At the same time, the continuation of developments in this direction is of scientific and practical interest.

Sample geometry transformation for mechanical tests of constructional materials in an FDM structure

The aim was to obtain a rough determination of the dimensions and shape of a sample for an experimental study of the mechanical characteristics of filamentary FDM-printing structures with a low filling at central tension. The sample geometry was designed based on the dimensions and shape provided in the GOST 17370-2017 “Cellular rigid plastics. Tension testing method”. The research methods included the finite element analysis of stress state parameters in an automated environment, elements of the stiffened shell theory and experimental testing of samples. The theory of stiffened shells was used to simplify the geometry of the finite element model for the studied samples. Finite element analysis was carried out in a linear formulation and, based on the results of its combination with the analysis of the technological model of a designed sample, a decision on transforming the sample geometry was made. The samples were produced using a “line” template with an orientation along the longitudinal axis of the sample. According to the results of testing the samples, a conclusion about the success of implied transformation was made. The success criterion involves the destruction of an FDM sample within the limits of the working part. As a result, both external and internal geometries of the prototype sample were transformed. This allowed the main emphasis in the work of the stretchable FDM sample to be shifted to its working part and the trajectory of power flows to be adjusted according to the FDM-printing specifics. Experimental testing of FDM samples with a low “line” template filling showed a consistently satisfactory result: fractures occurred in the working part of test samples. In the course of the studies, the general trend in the dependence of the force flow distribution over the sample volume on the combination of the printing thread trajectory with external and internal geometries of the sample was determined. Future work will focus on a more detailed analysis and formalisation of the obtained results with regard to various printing templates.

Hemp Biocomposite Boards Using Improved Magnesium Oxychloride Cement

The share of bio-based materials in modern construction needs to grow more rapidly due to increasingly stringent environmental requirements as a direct result of the climate emergency. This research aims to expand the use of hemp concrete in construction by replacing traditional lime binder with magnesium oxychloride cement, which provides a faster setting and higher strength, opening the door for industrial production. However, the negative feature of this binder is its low water resistance. In this work, the water resistance of magnesium cement was studied, and the possibilities of improving it by adding fly ash, various acids and nano-silica were considered. Nano-silica and citric acid showed the most significant impact, increasing the binder water resistance up to four times, reaching softening coefficient of 0.80 while reducing the compressive strength of the magnesium cement in a dry state by only 2–10%. On the downside, citric and phosphoric acid significantly extended the setting of the binder, delaying it 2–4 times. Regarding board production, prototype samples of hemp magnesium biocomposite demonstrated compressive strength of more than 3.8 MPa in the dry state but only 1.1–1.6 MPa in the wet state. These results did not correlate with binder tests, as the additives did not increase the strength in the wet state.

Electromagnetic shielding using flexible embroidery metamaterial absorbers: Design, analysis and experiments

Protecting human body from electromagnetic radiation and enhancing the robustness of wearable devices in complex environments become increasingly important. To address this, a flexible embroidery-based metamaterial absorber (MA) which can absorb electromagnetic waves of specific frequency was proposed in this paper. The MA consists of embroidered frequency selective surface (FSS), scuba knitting fabric and metallized fabric. We firstly propose a simplified simulation model to precisely represent the real-world prototype. Then, the parametric effects on the absorption performance were analyzed using equivalent circuit model and full wave simulation. By comparing the power loss density and the power loss rate of each layer, we discover that the resistive loss of the embroidered FSS plays a dominate role in consuming electromagnetic energy. For in-depth investigations, three prototype samples with high-to-low embroidery densities were fabricated and tested. It was found that the peak absorptivity of second sample (with a medium density of 0.70 mm) can reach up to 99% at 2.39 GHz, which verifies the effectiveness of embroidery-based MAs. Moreover, the comparable absorption performance of diverse prototypes shows that a suitable embroidery density is the premise for effective electromagnetic energy absorption, which provides a measurable design guideline for the future research in this area.

Pipeline Modelling for the Lebanese Offshore: Cases in the Oil and Gas Industry

Lebanon must build a pipeline system to carry the hydrocarbons from offshore to the shore. With no available studies and not much experience in this domain, designing a pipeline system in Lebanon is a topic of great concern. In this research, a prototype sample for the Lebanese offshore pipeline system is designed taking into consideration different parameters such as the drainage area, skin factor, Dietz shape, production interval, and the wellhead pressure. The system carries the gas from block 9 offshore Lebanon to a suitable production platform using different simulation software, mainly PROSPER. Different scenarios are modelled where results showed an optimum flow rate of 322.834MMscf/day and a wellbore pressure of 6460.73psi at 3000psi wellhead pressure. Further studies are encouraged to be carried out to transport the hydrocarbons from the wellheads of block 9 to the Zahrani processing plant via specified hydraulics engineering software.

Design of Dual-Stopband FSS With Tightly Spaced Frequency Response Characteristics

This letter proposes a dual-stopband frequency selective surface (FSS) with tightly spaced frequency response characteristics. The metal layer of this FSS structure is composed of a metal strip of a bow-type ring and a metal strip of a square ring type, which forms the center symmetric ring structure. This dual-band FSS can achieve reflection characteristics at 6.29 and 8.35 GHz, which belong to C-band and X-band, respectively. In addition, two resonant frequencies can be independently controlled for good flexibility. This structure has excellent polarization stability and angular stability. Furthermore, a prototype sample of the proposed structure in this letter is processed and produced, and the test results are highly consistent with the simulation structure after being measured in a microwave anechoic chamber.

Tunable liquid crystal metasurface with polarization selection characteristic

In this paper, a systematic design method for tunable metasurface based on liquid crystal (LC) is proposed, which exhibits the property of polarization selection. A compact LC-based meta-atom with a dimension of 0.12 λ × 0.12 λ is designed. The metasurface element consists of a pair of planar metallic structures, between which the LC is sandwiched. The equivalent circuit, electric field distribution, and current distribution elaborate on the design method and operating principle of the LC-based metasurface in detail. Full wave simulations show that the tunable metasurface provides bandpass and bandstop characteristics for TE and TM polarization, respectively. The center frequencies of the passband and stopband are tuned from 10.88 GHz to 10.3 GHz and 10.90 GHz to 10.18 GHz, and the tuning range reaches up to 5.5% and 6.8%, respectively. Compared with the existing work, tunability is introduced while maintaining the polarization selection characteristics. Moreover, frequency responses of the LC-based metasurface under various incident angles from 0° to 70° are kept to be stable for arbitrary LC states. In addition, a prototype sample is designed, fabricated, and measured to verify the proposed design method.

Adversarial malware sample generation method based on the prototype of deep learning detector

The deep learning methods had been proved to be effective for malware detection in the past. However, the recent studies show that deep learning models are vulnerable to adversarial attacks. Thus, the malware detection models based on deep learning face the threat of adversarial examples. As a popular case of adversarial examples, adversarial images are usually generated by adding unrecognizable perturbations to original pictures. When applying the same method to the windows PE (Portable Executable) malware, the original structure cannot be destroyed and the original functions of PE malware need to be preserved. Most existing windows adversarial malware generation works are derived from adversarial image methods with some adaptive modifications such as inserting perturbations in the slack space of the PE file. The both generation methods have some similarities but also many differences. Thus, directly using the methods of adversarial images to create malware effects the efficiency and fooling rate. In this paper, we overcome these issues by proposing a method for generating windows adversarial malware in PE format based on prototype samples of deep learning models. The prototype samples are the most typical ones of a certain category of the classification models. With the characteristic of the prototype samples, the bytes of the prototype samples are added as perturbations to the malware samples. This way can fast generate adversarial malware that could fool the target model. The proposed method is evaluated on a real world dataset of malware. Promising results show that the method can fool the deep learning based malware detection models with a high rate.

Mitigating fuel tank syndrome pelvic injuries – is there potential for rider worn protectors?

Objective The aim of this study was to investigate the feasibility of rider-worn pelvis protection for mitigating injury risk when contacting the motorcycle fuel tank in a crash. Methods A newly developed test apparatus was designed and constructed to simulate the interaction between a rider’s pelvis and the motorcycle fuel tank in a frontal crash. Impacts were performed at a velocity of 18 km/h into four motorcycle fuel tanks. Further testing used a rigid fuel tank surrogate and the pelvis surrogate in an unprotected condition and with a series of impact protector prototypes. A subset of prototype samples was also tested at varying tank angles (30°, 37.5°, 45°) and impact speeds (8.5 km/h, 13 km/h, 18 km/h). Analysis of variance was used to determine whether the protector prototypes reduced pelvis response compared to unprotected. Results Resultant peak pelvis acceleration was reduced by three pelvis impact protector prototypes compared to an unprotected condition. The reduction in peak acceleration occurred without a significant change in the peak pelvis rotational velocity. The pattern of protector performance was consistent at varying fuel tank angles but only reduced the pelvis response at the highest impact speed tested of 18 km/h. Conclusions The results indicate that there may be potential for using pelvis impact protection to mitigate injury risk by absorbing and/or distributing impact energy that would otherwise be transmitted to the rider’s pelvis. However, due to the current paucity in understanding of pelvis biomechanics to anteroposterior loading, it is unknown whether the pelvis acceleration reductions achieved would prevent injury.

Polyamide Noncoated Device for Adsorption-Based Microextraction and Novel 3D Printed Thin-Film Microextraction Supports.

Polyamide noncoated device for adsorption-based microextraction (PANDA microextraction) is a brand new, easy to prepare, environmentally friendly, inexpensive, and efficient sample preparation method created entirely with the use of 3D printing. The proposed method is based on the extractive proprieties of the unmodified polyamide and carbon fiber blends and is compared with the highly selective thin-film microextraction (TFME). In addition, 3D printing was used to simplify the process of TFME. Prototype sample preparation devices were evaluated by the extraction of oral fluid spiked with 38 small molecules with diverse chemical natures, such as lipophilicity in the log P range of 0.2–7.2. The samples were analyzed by high-performance liquid chromatography coupled with tandem mass spectrometry. The results indicate that chemically and thermally resistant 3D printed supports can be successfully used as a cost-saving, environmentally friendly solution for the preparation of TFME devices, alternative to the conventional metal supports, with only marginal differences in the extraction yield (mean = 4.0%, median = 1.8%, range = 0.0–22.3%, n = 38). Even more remarkably, in some cases, the newly proposed PANDA microextraction method exceeded the reference TFME in terms of the extraction efficacy and offered excellent sample cleanup as favorable matrix effects were observed (mean = −8.5%, median = 7.5%, range = −34.7–20.0%, n = 20). This innovative approach paves the road to the simplified sample preparation with the use of emerging extractive 3D printing polymers.

Tunable liquid crystal metamaterial filter with polarization-insensitive characteristic

ABSTRACT In this paper, a systematic design method for polarization-insensitive tunable liquid crystal (LC)-based metamaterial filter with the passband of flat-top and sharp roll-off is proposed. A compact LC-based bandpass metamaterial filter unit cell with a dimension of 0.09 λ × 0.09 λ is designed. The metamaterial filter element consists of a pair of planar pinwheel-shaped metallic structures with four symmetrically distributed isosceles triangular patches. LC is sandwiched in this pair of metallic structures. The metal pattern on each layer is 90° rotationally symmetrical leading that the LC-based metamaterial filter is insensitive to the polarization of incident waves. In order to obtain the transmission characteristics of flat top and sharp roll-off, a double-layer LC-based metamaterial filter structure is proposed. Full-wave simulations show that the central frequency of the metamaterial filter is tuned from 10.88 GHz to 11.78 GHz, and the tuning range reaches up to 7.9%. Meanwhile, under TE and TM polarizations, the double-layer LC-based metamaterial filter structure achieves filtering characteristics with a flat-top passband of not less than 997 MHz and sharp roll-off for arbitrary LC states. Moreover a prototype sample is designed, fabricated, and measured to verify the proposed design method.

Active temperature-preserving deep-sea water sampler configured with a pressure-adaptive thermoelectric cooler module

Warming poses a significant threat to the utility of deep-sea samples. This study developed an active temperature-preserving deep-sea water sampler to use at full ocean depths. The most important component of the sampler is the pressure-adaptive thermoelectric cooler module; laboratory experiments validated its high-pressure resistance and waterproof capability under 110 MPa water conditions. The overall structure of the sampler was then designed, and computational fluid dynamics modeled the samples’ temperature distribution. The simulation results were consistent with experimental data. Finally, a sampler prototype was constructed and then tested in the Mariana Trench zone at a large depth of up to 6000 m. Preliminary results indicated that it functioned well during sea trials. The developed sampler should help preserve the in situ temperature of deep-sea samples throughout the recovery process and thus improve the sample quality.

Choosing Decision Tree-Based Boundary Patterns in The Intrusion Detection Systems with Large Data Sets

Today, due to the growing use of computer networks, the issue of security of these networks and the use of intrusion detection systems has received serious attention. A major challenge in intrusion detection systems is the enormous amount of data. The generalization capability of support vector machine has attracted the attention of intrusion detection systems in the last years. The main drawbacks of a support vector machine occur during its training phase, which is computationally expensive and dependent on the size of the input dataset. In this study, a new algorithm to speed up support vector machine training time is presented. In proposed method, First, Ant Colony Optimization (ACO) is used to find prototype samples, then a number of prototype samples is randomly selected and the approximate boundary is determined using support vector machine. Based on the approximate boundary obtained, boundary samples are determined using decision tree. Using these boundary samples, final model is obtained. To demonstrate the effectiveness of the proposed method, standard publicly available datasets have been used. The experiment results show that despite the data reduction, the proposed model produces results with similar accuracy and in a faster way than state-of-the art and the current Support Vector Machine (SVM) implementations.

Оценка влияния напряжения стабилизации и характеристик солнечной батареи на токовую нагрузку транзистора шунтового стабилизатора

The article investigates shunt converter transistor switch current correlation from the output stabilized voltage level and solar array characteristics, including parasitic output capacitance. Shunt converter heat dependence graphs at output voltage for various solar array parasitic characteristics are obtained. Calculation results verification by shunt converter prototype sample was obtained.

Mathematical and Analytical Evaluation of Paste Products Quality

Topicality. In modern conditions, the society feels a growing demand in products made from natural ingredients of high nutritional value. Such products include meat pastes, the quality of which depends on their recipe, technological processes, equipment, and modes of its operation. With the implementation of innovative technological regimes and new equipment, there is a necessity to determine and prognosticate the quality of food products at all stages of their production and sale. According to the mentioned above, as well as economic feasibility of using automated systems for technological processes management, there is a need to elaborate a new mathematical and analytical approach to assessing and prognosticating changes in the quality of meat paste with various additives. Aim and research methods. The aim of this research is to elaborate a method for modeling the material system state, based on differential equations of kinetics of biochemical processes, assessment, and prognostication of food quality. Research methods. The method of mathematical and analytical evaluation of the paste products quality is grounded on modified mathematical models, differential equations, visualisation of research results in the form of 3D graphs, obtained by using symbolic computer mathematics. The quality of new meat paste products is compared with the quality of the paste, which is assumed to be relatively optimal according to the main organoleptic parameters of sensory quality assessment and control sample. The control sample of the paste is cooked according to the classical technology, and the recipe (GSTU 4424:2005). The prototype samples are cooked according to the innovative technology, which involves adding mechanically deboned poultry meat to the main raw material. Results. New results of analytical and experimental studies of the quality of meat paste products, cooked according to the classic recipe with the use of mechanically deboned poultry meat, are offered. The method for determining the coefficients, included in the mathematical model for assessing the meat paste products quality, their analytical relation with the optimization parameter, is elaborated. The expediency of using modern methods of symbolic computer mathematics for solving and analysing differential equations, presenting results in 3D graphs, is proved. The conducted research makes it possible to prognosticate the quality of food products, to control possible changes in their recipe while using various additives, to carry out elaborating new paste products. Conclusions and discussion. Based on the results of theoretical and experimental studies, a new mathematical model for estimating the quality of meat paste products in the form of the first-order differential equation, is offered. Its analogue is the equations, recommended for modeling the processes of biochemical kinetics. It is proved that the computer programme of mathematical and analytical research and prognostication the foodstuff quality (Goots et al., 2018) is universal. The offered mathematical model makes it possible to envision the quality of meat paste products, based on organoleptic evaluation. With its help, it becomes possible to determine the vector of possible changes in product quality and its optimisation, while elaborating the 3D graph. Mathematical and analytical assessment of the new paste products quality highlights that the partial replacement of the main meat raw by mechanically deboned poultry meat, and in pastes, made according to classical technology and the GSTU recipe (4424:2005), does not really reduce the parameters of organoleptic evaluation. In some cases, they are even higher than in the control paste samples, and very close to optimal ones. This new mathematical and analytical approach to assessing the paste products quality is promising in new culinary products elaboration in the restaurant business.