Main Quality Parameters Research Articles

Effect of modified atmosphere packaging (MAP) and gaseous ozone pre-packaging treatment on the physico-chemical, microbiological and sensory quality of small berry fruit

• Comparison of ozone-MAP technology on three small berry fruit quality. • Ozone-MAP technology improves small berry fruit microbial quality. • Main physico-chemical parameters are not affected by ozone pre-treatment. • Ozone-MAP treatment preserved total and individual anthocyanins in blueberries. The aim of this work has been to evaluate the combined effect of modified atmosphere packaging (MAP), and a gaseous ozone pre-treatment on the main microbiological and chemical parameters of strawberries, raspberries and blueberries during cold storage. The three types of small fruit were exposed to 13 mg m −3 of gaseous ozone (about 6 ppm) for 16 h at 1 °C (±0.5 °C) and then stored for 15 d under MAP (10 kPa O 2 and 40 kPa CO 2 ) or in air at 4 °C. The combined technology determined a significant (P ≤ 0.05) reduction of the yeast and mould counts, compared to samples stored in air and MAP without any pre-treatment. The main quality parameters of the three types of fruit were not affected by combined ozone pre-treatment and MAP storage. The combined effects of ozone and MAP led to a better preservation of the total and individual anthocyanins in the blueberries during cold storage. In conclusion, the exposure to gaseous ozone before packaging followed by storage under MAP could be a useful technological approach to extend the postharvest storage of small berry fruit.

Advances on Water Quality Detection by UV-Vis Spectroscopy

Water resources are closely linked to human productivity and life. Owing to the deteriorating water resources environment, accurate and rapid determination of the main water quality parameters has become a current research hotspot. Ultraviolet-visible (UV-Vis) spectroscopy offers an effective tool for qualitative analysis and quantitative detection of contaminants in a water environment. In this review, the principle and application of UV-Vis technology in water quality detection were studied. The principle of UV-Vis spectroscopy for detecting water quality parameters and the method of modeling and analysis of spectral data were presented. Various UV-Vis technologies for water quality detection were reviewed according to the types of pollutants, such as chemical oxygen demand, heavy metal ions, nitrate nitrogen, and dissolved organic carbon. Finally, the future development of UV-Vis spectroscopy for the determination of water quality was discussed.

E-learning in the present-day context: from the experience of foreign languages department, PSACEA

In the present context of COVID-19 lockdown, when pedagogies had to turn from in-person to virtual instructions, computer-mediated communication (CMC), including distance learning and e-learning, has come to the foreground to maintain the barrier-free educational environment. The three-dimensional model of the e-learning, which includes the principles of knowledge acquisition at ‘any place’, at ‘any time’, at ‘any speed’ is incomplete without the organisational culture component. To analyse what e-learning modes are used in a particular institution, to measure the efficiency of distance courses and, further, to suggest the most effective model and the ways of e-learning integration into a particular HEI according to its needs’ analysis was set up as the aim of this article. To achieve this aim, a complex of qualitative and quantitative research methods was applied. Therefore, in the first phase of our inquiry, a literature review was conducted in which we analysed the definitions of ‘distance learning’ and ‘e-learning’, traced the history of the question, and collected the main characteristics, quality parameters, and models of the distance and e-learning. On the later phases, we introduced the form ‘Analysis of the Distance Learning Tools Preferences’, disseminated among the teachers; a questionnaire ‘Distance Learning Mode of Work Satisfaction/Dissatisfaction’, disseminated among students, and ‘The Instructional Materials Motivation (IMMS)’ online survey by J.M. Keller to measure the efficiency of the distance learning courses design, also disseminated among students. The empirical data was collected at Prydniprovska State Academy of Civil Engineering and Architecture (PSACEA), the Department of Foreign Languages during March-May, 2020. Thirty instructors from the Department of Foreign Languages and twenty-three students from the first-third years of Foreign Languages studies who regularly participated in online lessons took part in the experiment. Based on the theoretical and empirical data, we got a picture of the e-learning state (in its first approximation) in our HEI, proved that the forms and questionnaires used in the experiment may serve as informative tools of quantitative measurement, drafted the format for further improvement of the e-learning in our organisation.

Identification of the Main Water Quality Parameters for Monitoring and Evaluating Watershed Health

Water quality is one of the crucial parameters in monitoring and evaluating watersheds. A large number of parameters causes the monitoring and evaluation of watershed performance to be less efficient and costly. This study aims to determine the main parameters as a method of simplifying water quality observation parameters by producing equations that can be used to predict the level of pollution of a non-point source pollutant (watershed). A sampling of surface water was carried out by purposive sampling at several outlets located in the Brantas and Upper Solo watersheds. The research parameters analysed were: TSS, TDS, BOD, COD, Phenol, Free Chlorineine, Sulfide, Arsenic, Fe, Pb, Phosphate, Nitrate, Nitrite, Detergent, Turbidity and E. Coli. The results of the analysis of water quality are used to calculate the value of the Pollution Index (PI) according to the Decree of the Minister of Environment No. 115 of 2003 and to determine the class of water quality standards that refer to Class III water quality standards, in Government Regulation No.82 of 2001. The analysis showed that all samples were at mild to moderate pollution levels, and did not meet class III water quality standards. Multiple regression analysis produced two equations, namely: Model 1: PI = 3.952 + 91.668 Phenol and Model 2: PI = 3.086 + 80.167 Phenol + 0.152 BOD, with R squared values of 53% and 69.9% with a confidence level of 0.005. Thus the prediction of pollution levels of similar watershed can be made only by using the two most influential parameters namely phenol and/or BOD alone.

Influence of malt composition on the quality of a top fermented beer.

The beer is a widely consumed drink, appreciated for its sensory characteristics, and it also contains beneficial compounds for health derived from its raw materials. In this work, the influence of coloured malt on the main quality parameters of a top-fermenting beer was evaluated. The beers were produced increasing the percentage of coloured malt (0, 5, 15% Caraamber®) respect to the pale ale base malt. The beers had an alcohol content ranging from 6.2 to 6.8 vol%; the results highlighted a deeper colour, increased bitterness and turbidity in beer with the highest amount of Caraamber malt. This latter showed the highest polyphenols (453.8mg GAE/L) and antioxidant activity (840.1µmol TE/L) and, on the other hand, the lowest foam stability. The volatiles profile showed a higher amount of aldehydes and ketones in beer with the highest percentage of caramel malt but the lowest in higher alcohols and esters. No differences were found in the fruity-esters, alcoholic and caramel sensory notes; while the beer made with 15% of coloured malt was perceived sweeter and with less fruity citrus notes than other beer samples.

Effect of red thyme oil (Thymus vulgaris L.) vapours on fungal decay, quality parameters and shelf-life of oranges during cold storage

This work has been aimed at studying the effect of red thyme oil (RTO, Thymus vulgaris L.) on the shelf-life and Penicillium decay of oranges during cold storage. RTO vapours significantly reduced (P ≤ 0.05) the percentage of infected wounds, the external growth area and the production of spores in inoculated orange fruit stored for 12 days at 7 °C in a polypropylene film selected for its appropriate permeability. Among the RTO compounds, p-cymene and thymol were the most abundant in packed boxes at the end of cold storage. The RTO vapours did not affect the main quality parameters of the oranges, or the taste and odour of the juice. The results have shown that an active packaging, using RTO vapours, could be employed, by the citrus industry, to extend the shelf-life of oranges for fresh market use and juice processing.

The study on optimal design of river monitoring network using modified approaching degree model: a case study of the Liaohe River, Northeast China.

This paper proposes a quantitative method to optimize the existing river monitoring network based on a modified approaching degree model, T test, and Euclidean distance. In this study, the Liaohe River located in Liaoning province, China, was taken as a research object. Samples were collected from 8 sampling sites throughout the monitoring network, and water quality parameters were analyzed every 2months from January 2009 to December 2010. The results show that the average concentrations of the ammonia nitrogen (NH4+-N) and chemical oxygen demand (COD) were beyond grade III of the Environmental Quality Standards for Surface Water of China (GB3838-2002), and they were the main water quality parameters. After optimization, the number of monitoring sections along the Liaohe River was reduced to five from the original eight, thus saving 37.5% of the monitoring cost; meanwhile, there is no significant difference between the un-optimized and optimized monitoring networks, and the optimized monitoring network remains to be able to perform as good as the original one. In addition, the total data attainment rate was improved greatly, and the duplicate setting degree of monitoring points decreased significantly compared with other optimal methods. The optimized monitoring network proves to be more efficient, reasonable, and economically feasible, so this quantitative method can help optimize the changing orderly river monitoring networks.

Multiple Sensor Monitoring of CFRP Drilling to Define Cutting Parameters Sensitivity on Surface Roughness, Cylindricity and Diameter.

Machining parameters affects the final quality of components made in carbon fiber reinforced plastic (CFRP) composite materials. In this framework, the work here presented aims at studying the right combination of cutting speed (vc) and feed rate (vf), for dry drilling of carbon fiber reinforced plastic composite materials, which obtained better results regarding roughness, hole cylindricity, and diameter. A series of experimental tests were carried out under different drilling conditions (vc/vf), monitoring the thrust force (Fz), torque (T), and electric power (EP), to define which one can help more for industrial daily life production. Results validation was carried out using the analysis of variance, in order to relate main machining parameters cutting speed and linear feed, with thrust force, drilling torque, main spindle electric power and hole quality parameters (average roughness, cylindricity and diameter). The conclusions show that thrust force is not proportional to the cutting speed and the best combinations of cutting speed and feed were found out around the average values of tested parameters. Spindle electric power is an interesting element to take into account because it is easy to consider in real production.

Spatial interpolation of sodium absorption ratio: A study combining a decision tree model and GIS

Groundwater quality is a very important issue, especially in the agricultural sector, where it is used extensively. Sodium Absorption Ratio (SAR) is an important parameter in water quality classification for irrigation usages. In this research, SAR was estimated by using the M5 decision tree integrated with a Geographical Information System (GIS). The main goal of this research was to calculate SAR by using fewer parameters, high precision, and in situ water quality parameters. The main water quality parameters of the study area were EC (Electrical Conductivity), concentrations of Na+, and TDS (Total Dissolved Solids) parameters according to Principal Components Analysis (PCA). By using the M5 decision tree model, different equations were extracted for the main water quality parameters. After extracting different equations, deterministic and non-deterministic interpolation approaches were used for finding spatial distributions of SAR in the Ramhormoz agricultural plain of Iran during 2009–2019. For this purpose, several interpolation maps were obtained by using GIS. Kriging and Inverse Distance Weighted (IDW) were used as non-deterministic and deterministic interpolation methods, respectively. The non-deterministic kriging method, using the Na+ and EC water quality parameters, was found to be the best approach for estimating SAR with the fewest water quality parameters and with the highest precision.

Effect of innovative pre-treatments on the mitigation of acrylamide formation in potato chips

The aim of this research was to evaluate the reduction of acrylamide (AA) formation in potato chips applying innovative pre-treatments. Raw potato slices were subjected for 5 and 15 min to: dipping in water; dipping in Aureobasidium pullulans L1 yeast water suspension; dipping in water or in yeast water suspension after pulsed electric fields (PEF) in order to investigate a possible synergistic effect of pre-treatments. The raw potato samples were analysed for AA precursors and, after frying, for AA by using HPLC-MS/MS. In addition, the final potato chips main quality parameters were evaluated.Compared to untreated potato chips, yeast treatment promoted a reduction of AA formation mainly at the longest dipping time (15 min). PEF treatment followed by water dipping was the most effective in reducing AA for both the studied treatment times. The combination of PEF and yeast treatments led only a slight reduction of AA formation. Industrial relevanceThe Commission Regulation (EU) 2017/2158 has established new acrylamide (AA) benchmark levels in different foods due to its negative classification as “probably carcinogenic to human”. For this reason, food industries are interested in developing different processing methods to reduce the AA formation and at the same time to maintain an acceptable quality of final products. Fried potatoes (French fries and chips) are the most vulnerable foods in terms of high content of AA formation, being rich in the main Maillard reaction substrates, such as asparagine and reducing sugars, and characterized by a high surface to volume ratio. Among the strategies recently suggested for the reduction of AA in potato chips, pulsed electric fields (PEF) and yeast pre-treatments are very promising, having the potentiality to reduce AA precursors in raw potato tissues. In this study the possibility to apply yeast and PEF pre-treatments on raw potato slices with suitable processing times for a possible industrial application were evaluated.

Water Quality and Planktonic Composition of River Henwal (India) Using Comprehensive Pollution Index and Biotic-Indices

The study was conducted to assess the seasonal water quality of four stations located along the River Henwal (one of the major tributaries of River Ganga, flows in the region of Uttarakhand, India). To assess the pollution load, comprehensive pollution index (CPI) was used by considering the most significant water quality parameters for which a standard permissible limit is proposed by different government agencies. The minimum value of CPI (1.25) was observed at control site during winter and maximum (8.52) was at Jajal during monsoon which indicates that control site was moderately polluted followed by severely polluted Nagni, Kharee and Jajal. The river water was dominated by a group of blue-green algae among phytoplankton and protozoans dominate zooplankton. Besides this, Simpson’s index (D) and Shannon–Wiener index (H) were used to observe the diversity of plankton and Taxon Evenness (E) was also estimated to know the distribution of individuals within a community. The high value of D (4.69), H (1.57) and E (0.45) was found to be for Nagni site. The relationship between abiotic properties of water and planktonic composition was developed with the help of Karl Pearson’s correlation matrix. For the identification of main responsible water quality parameters and the influencing sources, PCA and CA were used. The quality of river water is declining as a result of developmental activities, and this work is expected to give the essential support to future water management systems in the area.

An integrated approach for heterogeneity analysis of carbonate reservoirs by using image log based porosity distributions, NMR T2 curves, velocity deviation log and petrographic studies: A case study from the South Pars gas field, Persian Gulf Basin

Reservoir quality, pore types and heterogeneity study in carbonate reservoirs are considered as major concerns for choosing an economic reservoir in oil and gas industry. The optimized production rate and hydrocarbon recovery also needs a reservoir architecture evaluation. Therefore, having an accurate knowledge about the complexity of carbonate formations leads the hydrocarbon exploration and production projects to a more reliable achievement.In the current study, the Permo-Triassic aged carbonate formations of Dalan and Kangan in the world's largest not-associated gas field, South Pars, are selected as the target reservoirs. A comprehensive petrophysical evaluation in an appraisal well of the field resulted in interpretation of lithology and main reservoir quality parameters (porosity and permeability) using conventional and advanced magnetic resonance (NMR) logs. For more accurate understanding of lithology, rock fabric and fluid flows, heterogeneity is measured by applying Lorenz plot and coefficient of variation (CV) methods based on the petrophysical logs. In the next step, reservoir rock typing separated the productive and non-productive zones in different lithological intervals including K1, K2, K3, and k4. Finally, pore types and heterogeneities were investigated by porosity histograms received from formation resistivity image logs, porosity distributions of nuclear magnetic resonance, velocity deviation logs and thinsection studies. Histogram modalities and distributions of the image log bin porosities confirmed by NMR log, velocity deviation log and thin sections show that formation resistivity images are considerable tools for carbonate heterogeneity studies. The results of this study suggest that the paleoenvironmental conditions and diagenetic processes including dolomitization and dissolution controlled the porous media complexity in the K2 and K4 units, the major reservoir intervals of South Pars field.

Engineering the surface for direct part marking (DPM)

The performance of select technologies for direct part marking (DPM) are reviewed. The select DPM technologies are those that can be cost-effectively used for unique identification (UDI) of a wide variety of part shapes, sizes, and materials by applying a permanent 2D Data Matrix. The select technologies are also flexible in being practicable for use in a wide range of production systems in terms of part variety and volume. It is concluded from this review that the most common and chronic causes of non-conforming quality relate to marginal differences in optical contrast between the cell and substrate surface representing the opposite binary data states. The other concern identified is the potential for undermining the performance of parts operating in demanding environments, in particular reducing component fatigue life due to the surface modifications produced by DPM.A new solution based on the principle of “engineering the surface” is then described, and results are reported for measurements of standard Data Matrix quality parameters as set out in the ISO/IEC TR 29158:2011 standard. These results and other performance measures are critically reviewed and compared with alternative DPM technologies. It is shown that the proposed solution obtains the highest possible grades for the main ISO quality parameters including “cell contrast” levels which exceed 70%. The technology is also characterised by having a minimal impact on surface finish and integrity, no material removal, no use of coolant or any source of contamination, low tool wear rates and exacting levels of control of the core process mechanisms.

Development of national standards for the needs of the water industry on the examples of the aluminium polyoxycloride

An important stage in conditioning of water before its supply is the use of coagulants, with polyaluminium chloride being one of such agents. Active application of this coagulant began late last century, and its global output has been consistently growing since. The purpose of the work was to create a new standart because of the need to ensure a uniform assessment of the quality of the proposed coagulants. The necessity of unification in the field of quality control processes of coagulants is shown. General requirements for quality control of aluminum polyoxychloride are formulated. In particular, the standard contains universal methods to determine impurities and main quality parameters (basic capacity, contents of aluminium oxide and chloride ions) in polyaluminium chloride; regulate pH, residual aluminium, chlorides and heavy metal ions for the whole concentration range of the active ingredient in the agent (i.e. the standard covers both dry and liquid products); avoid use of low-quality raw materials (including aluminium scrap) in the production of polyaluminium chloride; characterise high- and low-basic products (given a non-linear change in properties at different concentrations); regulate frequency of and conditions for checking polyaluminium chloride against declared parameters.

A review of non-destructive techniques applied for measuring quality of oil palm fresh fruit bunches

The quality of oil palm fruits is evaluated through several characteristics such as the ripeness level, oil content, and free fatty acid. Besides human visual assessment and destructive techniques, another alternative method that provides quality assessment on oil palm fresh fruits bunches (FFB) is through the application of non-destructive techniques. A few of the non-destructive techniques are covered in this review such as machine vision system, visible or near infrared spectroscopy, image processing using relative entropy, fluorescence technique, Kinect camera, and optical sensor system. The main quality parameter that is being evaluated is the ripeness level of the FFB because the maturity of FFB has a direct impact on the quality of the extracted oil that will eventually affect the economic value of palm oil.

Determination of Thermal Pollution Effect on End Part of Stream

The present study was conducted to evaluate the environmental impact of thermal effluent sources on the main water quality parameters at the low flow conditions. The low flow causes the flow velocity to be low which causes accumulation of any pollutant source. The study was performed by creating a 2-d model of the last reach of Rosetta branch at winter closure. Delft 3d software is used to create a hydro-dynamic model to simulate the flow pattern within a 5 km of the branch upstream Edfina regulator. Water quality model is coupled afterwards to simulate the water quality parameters. A base case scenario of the current state at the low flow condition is set up and calibrated. Another scenario is performed after adding a thermal pollutant source. Thermal power plant is used as an application of thermal pollutant source. Cooling water is with drawled from an intake and discharged back to the water source with a relatively higher temperature downstream the intake. A case study of Dairut thermal power plant which is planned to be constructed at this area is used. Hydrographic survey is performed to collect essential hydraulic data for the model. Field measurements are performed to collect water quality along the area. A numerical model was set up and the area was simulated. Results showed accumulation of thermal plume. The higher temperatures lowered the dissolved oxygen in the thermal plume area. On the other hand, BOD and NO3 values increased with different rates. Ammonium was positively affected and was lowered.

Evaluation and Modeling of Residual Chlorine in Dangila Town Water Supply System

Application of chlorine for protection of drinking water in distribution system is not well established for the Dangila town. The study was conducted to assess chlorine dosing and model for residual chlorine using Water CAD software. The necessary dates were collected using primary and secondary sources. The existing maximum residual chlorine concentration at sample point 6 through the samples by 1.5 kg/m 3 chlorine dose with 3 ml/s flow rates was found to be 0.17 mg/l. Even, it was less than the minimum recommended WHO and ESA standard (0.2mg/l). The amount of total Coliform was found 5 colonies per 100ml and pH (8.68-9.1) and the remaining main chemical water quality parameters that analyses were found within WHO & ESA limits. In order to model the residual chlorine content 3 scenarios were developed. Scenario I and II were developed with 0.6 mg/l chlorine dose with 26 ml/s flow rate and 0.5 mg/l chlorine dose with 22 ml/s flow rate, respectively. In both scenarios residual chlorine concentration was recorded above the maximum limits (0.5mg/l) around the injection point which is a bit higher than the maximum limit, while 4 sample points got less than 0.2mg/l. Scenario II, all residual chlorine results were below 0.5 mg/l, but still the farthest 4 sample points got lower than 0.2mg/l. To solve the above problem Scenario III was developed with three injection points at reservoir, Junction 4 & 55`` within 0.45, 0.15 and 0.2 mg/l chlorine dose to keep the residual chlorine concentration acceptable. Therefore, installing two additional chlorine injection points were the best solution that identified from the analysis. Keywords : Residual chlorine, Water quality and Water CAD DOI : 10.7176/CER/12-1-01 Publication date: January 31 st 2020

Using near infrared reflectance spectroscopy for estimating nutritional quality of Brachiaria humidicola in breeding selections

AbstractBrachiaria humidicola (BH) (syn. Urochloa humidicola) is an important forage grass in the tropics due to its capacity to grow in nutrient‐deficient soils, tolerate waterlogging, and inhibit soil nitrification. A major objective of BH breeding is to improve its nutritional quality. Therefore, a rapid and low‐cost method is needed to assess main quality parameters such as neutral detergent fiber (NDF), acid detergent fiber (ADF), in vitro dry matter digestibility (IVDMD), and crude protein (CP). This study developed models using near infrared reflectance spectroscopy (NIRS) to predict concentrations of these parameters toward breeding. Samples were collected from BH trials located in different regions of Colombia, scanned for NIRS (400–2,500 nm), analyzed with wet chemistry as reference values, and used to build the chemometric models. Results from wet chemistry showed wide variability in terms of dry matter percentage for NDF (51.6–76.2%), ADF (26.1–46.1%), IVDMD (41.5–78.3%), and CP (2.8–12.8%). The NIRS models were validated using an independent set of samples and have coefficients of determination (R2) and one minus the variance ratio (1 – VR) values in the range of .9 and .95, suggesting a good correlation between reference‐lab and NIRS‐predicted values. The standard errors of cross validation (SECV) for IVDM, NDF, ADF, and CP were 1.59, 1.18, 0.74, and 0.53%, respectively. Prediction efficiency (ratio of performance to standard deviation, RPD) for all parameters was above 3.0, except for CP (2.6). Calibrations obtained present an adequate adjustment and predictive tendency, making them suitable for selection and BH breeding.

EXPERIMENTAL AND NUMERICAL STUDY OF SEWING SEAMS OF AUTOMOBILE SEAT COVERS UNDER UNIDIRECTIONAL AND MULTIAXIAL LOADING

In industrial textiles, knowing the exact characteristics and behaviour of materials is important. A several precise studies and numerical models of material structures of fabrics, foams, and threads have been developed, but the behaviours of entire functional parts have been researched to a lesser extent. For car seats, industrial textiles not just cover the underlying foam but also increase rigidity of the seat cushion and influence viscoelastic behaviours of foams. Moreover, strength of sewn seams is one of the main quality parameters. Herein, four polyester and polyamide threads were sewn on a material used for car seat covers through lockstitch sewing. Combinations of these materials were studied using static tests in the unidirectional and multiaxial variants. The experimental measurements recorded using a high-speed camera and computer tomography were used to create CAD models. Numerical simulations were conducted using these models and the obtained material models. These model studies help predict and describe the stresses emerging within various types of textile and the threads in their connections. The simulation results agree well with the experimental results

Influence of reinforcing plastic surface deformation on surface performance of machine parts

The performance of the machines part reinforcement using surface plastic deformation shall be considered as formation of the whole complex of surface parameters and quality and their impact on the operational properties of these parts. The main surface quality parameters, affecting the performance of machine parts are geometric (microgeometry, wavelength, roughness, shape of inequalities, the size of the supporting surface, the direction of the traces of processing); physical parameters (structure, degree and slander depth, residual stresses in the surface layer). In the machine building, many methods of superficial plastic deformation are used for part reinforcement; these methods essentially differ in the scheme of impact of the surface deforming part to be treated. After analyzing the results obtained by scientists, involved in research on surface plastic deformation of surface layers and surfaces of parts, it was found that after hardening, practically all structural changes contribute to reinforcement of the surface layer material and increase the plastic deformation resistance. Increasing the density of dislocations and the separation of carbides, which block the shear slides and create obstacles to the movement of dislocations. Due to these changes, resistance to formation and spread of fatigue cracks have increased. The treatment depth, magnitude of residual stresses and increase in hardness depends on the original structure and chemical composition of the material. Reinforcement regimes have significant effects on the wear resistance. Use of diamond smoothing, vibration processing, combined methods (surface plastic deformation in combination with other reinforcement methods, as well as the use of a combined tool) opens up new possibilities for increasing the quality characteristics of the surface and the surface layer of parts, and accordingly, increasing their operational properties with all the diversity and complexity of used processes. Based on the results of the studies, practical recommendations on the application of methods of hardening by surface plastic deformation of machine parts and a methodology for designing technological processes for their manufacture considering manufacturing capabilities are proposed.