Quality Control Materials Research Articles

APPLICATION OF MODERN METHODS OF ANALYSIS FOR DETERMINATION OF POLLUTION AND IDENTIFICATION OF PLANT RAW MATERIALS

Quality control of herbal preparations is an important component to ensure the effectiveness and safety of their use. Phytochemical medicines are made from medicinal plant materials that may contain unwanted chemical compounds, so careful quality control must be performed to ensure their safety and efficacy. The success of quality control of herbal materials requires an integrated approach, i.e. a combination of various techniques and methods that allow analyzing the main classes of compounds. Various methods of analysis are used to overcome these difficulties. Today, the main chemical methods for determining the quality of medicinal products are chromatographic, in particular gas chromatography (GC), often combined with mass spectrometry (MS), liquid chromatography (HPLC), thin-layer chromatography (TLC), column chromatography (CC). Besides, HILIC is the optimal method for the analysis of polar and ionized compounds that are too strongly retained on polar stationary phases and/or poorly separated by standard chromatographic methods. TLC/HPTLC methods are traditionally used by the SPhU and the European Pharmacopoeia for identification of herbs and detection of impurities by visual assessment, as well as for semi-quantitative determination of compounds when comparing the intensity of the spot in the zone of the tested solution with spots in the zones of reference compounds. The mentioned methods have still remained the most acceptable for the identification of herbs, which is explained by the unique chromatographic profile of each plant or extract based on it. At the same time, the instrumental method of HPLC has advantages due to the possibility of quantitative determination of substances that fluoresce in UV or visible light. Nowadays, the direction of scientific research devoted to the optimization of the previously described analytical methods and the development of new ones for the identification of both herbs and herbal materials, as well as herbal remedies, becomes relevant. In addition, the development of methods for the quantitative determination of herbal compounds is a relevant scientific and practical direction.

Study on UPLC–MS/MS Method for Four Compositions of Cangzhu

Background: The legal quality control of Cangzhu is used the single component as an evaluation indicator, which would not be enough to reflect the authenticity of quality. It is necessary to select several typical chemical components as the basis for quality control of medicinal materials and decoction pieces to reflect the content of effective ingredients. Purpose: Based on UPLC-MS/MS, the study aimed to build the content determination method of atractyloidin, atractylidin A, atractylenolide I, and atractylenolide III in Cangzhu from different sources. Materials and Methods: Agilent SB-C18 (2.1 × 100 µm, 1.8 µm) was used to be the stationary phase. The mobile phase system was formed by water-formic acid (1000:1) and acetonitrile-formic acid (1000:1) in gradient elution. The column temperature set at 40℃, and the flow rate was 0.3 mL min–1. Results: The contents of atractyloidin, atractylidin A, atractylenolide I, and atractylenolide III had good linearity in a certain range (r2 ≥ 0. 9990). The RSD of the precision, stability and repetitive test results were less than 3.00%. In addition, the content of the four components were some different among different patches of Cangzhu. Conclusion: The method was simple, rapid and highly sensitive, which was suitable for the determination of atractyloidin, atractylidin A, atractylenolide I, and atractylenolide III in Cangzhu.

Highly responsive double-shell ZnO hollow microspheres based gas sensor for acetic acid detection in vinegar

Acetic acid sensing materials for environmental and related food quality control requiring high sensitivity and selectivity, and ppb-level detection limit, remain challenging. Double-shell ZnO hollow microspheres were prepared by a surfactant assisted template method, and the resultant gas sensor showed excellent acetic acid sensing performance. The sensor response reached 116 to 100 ppm acetic acid at 270°C with a short response time of 3.2 s. The relationship between acetic acid concentration and the response was established, and the detection limit reached 100 ppb. DFT theory computational results demonstrated the highest adsorption energy of the ZnO gas sensor to acetic acid among all tested gases, proving its high selectivity to acetic acid. Besides, the unique double-shell hollow structure with abundant oxygen vacancy and large surface area might be the other factors that gave rise to its excellent acetic acid gas sensing performance. Based on the gas sensor, a method for fast quantitative detection of acetic acid content in vinegar was developed. The linear relationship between sensor response and acetic acid gas concentration of vaporized white vinegar was established, and the acetic acid content in the vinegar can be quickly determined. The result proved our acetic acid sensor to be a promising candidate for practical applications.

Fuzzy Logic-Based Fragility Curve Development for Steel Moment-Resisting Frames Considering Uncertainties in Seismic Response

In this paper, a comprehensive range of uncertainties is considered to assess the seismic abilities of a moment-resisting system. To incorporate the parameter of construction quality, which has a descriptive nature, a suitable fuzzy logic engine has been developed. This engine, for the first time, addresses the quantitative assessment of construction quality parameters based on linguistic variables, including map accuracy, worker skills, material quality, and site supervision conditions. Instead of using random selection, a self-organizing map (SOM) algorithm is employed to carefully select strong ground motion records, reducing time costs. By applying incremental dynamic analysis (IDA) results, analytical equations are derived for the response surface method. These equations determine the collapse fragility’s mean and standard deviation. The material quality is modeled using the fuzzy inference engine, with the coefficient of logarithm response surface. Collapse fragility curves are created by taking into account many of their material quality values and utilizing the fuzzy model to estimate the modeling parameter based on the logarithm regression coefficients. These curves take into consideration various sources of uncertainty. In countries with inadequate material quality control, it is important to take cognitive uncertainty into account when developing fragility curves. This will help improve the overall risk management strategy.

Evaluasi Kinerja Konsultan terhadap Manajemen pada Pekerjaan Ruas Jalan Lambaro - Pidie

The development project on the Lambaroe-Pidie national road is expected to be carried out according to plan. This can be realized with the role of a team of Project Management Consultants within the Aceh National Road Implementation Center who carry out construction management including implementation and control in program preparation, technical planning, construction implementation and supervision, quality control, service and supply of materials and equipment. The purpose of this research is to evaluate the factors that determine the effective performance of consultants and evaluate the performance indicators of consultants on management on the Lambaroe-Pidie national road section. The research method is a mixed method, which is a method that combines qualitative and quantitative methods. The sampling technique used is quotas. This research was conducted by distributing questionnaires to the owner, project officer, PT. Citra Diecona, Contractors and Technical Assistance Team (Bantek) with a total of 13 respondents. Questionnaire tests include validity tests and reliability tests. Based on the results of the study, the validity test obtained a value of Rcount > Rtable with a value of 0.552, this indicates that the question item is valid. In the reliability test, a value of 0.694 was obtained, this indicated that the respondents' answers were reliable. Based on the results of the descriptive analysis the initiative variable (X5) has the highest value of 4.692, this explains that the respondents are very satisfied with the consultant's performance on the initiative aspect. The ability to communicate (X2) has the lowest value with a mean value of 4.369. although this variable has the lowest mean, the results of the study show that respondents are satisfied with the consultant's performance on the communication aspect. The evaluation of the consultant's performance on management on the Lambaro - Pidie road section has met the road performance indicators in accordance with the 2017 Public Works Regulations concerning road performance indicators on management on the Lambaro - Pidie National Road section.

Identifikasi Faktor–Faktor Penyebab Cost Overrun dan Time Overrun pada Proyek Konstruksi Gedung Di Kota Banda Aceh

Projects of building construction develops acordance with the implementation of the fulfillment of human life. During implementation, the project did not always as expected. These things happen due to cost and time deviations. The problem in this research is what are the factors that cause cost overrun and time overrun in the implementation of building construction projects in Banda Aceh city. The purpose of the study was to determine the causes of cost overrun and time overrun in the implementation of building construction projects toward minimize the impact of failure in the implementation of a construction project. The research data was obtained by distributing questionnaires to 40 respondents from qualified (small) and (medium) of contractors in Banda Aceh city. The sampling technique used is purposive sampling with the criteria of fulfilling the experience of having been involved in the implementation of building construction projects. Data processing was carried out with SPSS version 24 software with confirmatory factor analysis, descriptive analysis and fishbone analysis. The results of factor analysis obtained the average value of the MSA test of 0.694, the KMO test of 0.684. The value of a variable can be analyzed further if the value exceeds 0.5 and the Bartlett test obtained a value of 0.000 <0.05, it explaned each variable is correct. The total value of variance explained is 50.91%, it means the nine factors can form the factors causing cost overrun and time overrun, while the remaining 49.08% is explained by other factors. From the loading factor value, the dominant factor is material factor (X4) with a loading value of 0.91. The results of the descriptive analysis show causing of cost overrun and time overrun are an increase in material prices (X4.3) with mean value is 4.13 and poor quality control of materials (X4.4) with mean value is 4.03.

Flow-through moisture meter for measuring grain moisture as part of an automated grain moisture control system

The methods of increasing the accuracy and efficiency of the production process, as well as ensuring high quality of final products in the grain processing industry, are investigated. It is shown that to solve the problem of insufficient quality control of grain materials, an automated system for monitoring the properties and characteristics of bulk granular materials is necessary. The features of the construction of automatic and automated systems for monitoring the properties and characteristics of bulk granular materials are considered. Measurement methods and control devices of the main technological parameters used in the management of grain processing facilities are briefly described. It is proposed to include a flow moisture meter in the automated grain moisture control system. The physical properties of grain and grain materials, measurement conditions and instrumentation for grain moisture control are analyzed. The use of devices based on the dielkometric method in the subsystem of an automated process control system is discussed. The application of intelligent sensors of a measuring system with a complex multilevel hierarchy is described. The structure of the interconnection of measuring devices for intellectual support of humidification processes and quality control of the studied materials is given. A functional diagram and metrological characteristics of a prototype grain moisture monitoring device, a flow moisture meter, are presented. The metrological characteristics of this device meet the requirements of the grain processing industry and allow it to be used as part of a humidity control system

Rapid quantitative analysis of multiple rare earth elements in NdFeB alloys based on laser-induced breakdown spectroscopy (LIBS) and random forest (RF)

NdFeB material has excellent comprehensive magnetic properties, which plays a crucial role in the field of rare earth magnetic materials, and is one of the important basic materials to support modern high-tech industries. In the production of NdFeB alloys, the control of rare earth elements (REEs) is directly related to the quality and resource utilization efficiency of NdFeB materials. Therefore, the prediction of REEs content in NdFeB alloys is of great research significance and application value for the quality control of products, the enhancement of production efficiency and reduction of energy consumption by the rare earth material industry. In this study, a combination of laser-induced breakdown spectroscopy (LIBS) and random forest (RF) was used to investigate the quantitative analysis of four REEs (Nd, Pr, Tb and Dy) in NdFeB alloys. Firstly, the original LIBS spectra were screened by principal component analysis-mahalanobis distance (PCA-MD). Then, the effects of different data processing methods on the screened LIBS spectra were explored, and next, the feature variables were extracted from the preprocessed spectral data by the variable importance measurement (VIM). In order to further verify the prediction performance of the model, the prediction results of the RF models based on the different methods were compared. Finally, a PCA-VIM-RF calibration model was established on the basis of the optimized spectra, selected feature variables and parameters. Leave-one-out cross validation (LOOCV) was used to optimize the parameters of PCA-MD method, spectral preprocessing method and variable importance thresholds during the construction of the calibration model. The results show that the PCA-VIM-RF model has better prediction performance than the RF calibration model based on the raw spectra. For the PCA-VIM-RF calibration method of Nd, Pr, Tb and Dy elements, the values of R2CV are 0.9991, 0.9998, 0.9986, and 0.9984, respectively, the values of RMSECV are 0.06296%, 0.02788%, 0.04647% and 0.05252%, respectively. The values of R2P are 0.9508, 0.9975, 0.9691 and 0.9457, respectively, and the values of RMSEP are 0.6082%, 0.09205%, 0.5776% and 0.2631%, respectively.The above results indicate that LIBS combined with PCA-VIM-RF algorithm is a promising method for rapid quantitative analysis of REEs in NdFeB alloys without complicated sample preparation, which can provide some new ideas or strategies for the future research, development and quality control of rare earth materials.

From GaN crystallinity to device performance: Nucleation mode vs Surface energy of single-crystalline AlN template

In this paper, the surface state of the single-crystalline AlN template's impact on the epitaxial growth of gallium nitride (GaN) was studied. Subsequently, Schottky barrier devices were fabricated and analyzed. The results indicate that surface states subjected to different treatments exhibit varying epitaxial growth modes at the initial nucleation stage, which have a correlated effect on surface topography, crystalline quality, strain and other material characteristics of the epitaxial GaN. Higher surface energy leads to a reduction in screw dislocation of GaN material, but has less influence on edge dislocation. Single-crystalline AlN templates with higher surface energy are more likely to exhibit Stranski-Krastanow and Frank-van der Merwe growth model and achieve high-quality epitaxial materials. Schottky devices prepared using GaN material with lower screw dislocation density exhibit lower reverse leakage current. First-principles simulation analysis revealed that the migration barrier of gallium and nitrogen atoms on the surface can be overcome with the larger surface energy of single-crystalline AlN template. This facilitates their migration on the surface, resulting in higher quality material epitaxy. The conclusions of this work provide insights for quality control of epitaxial GaN materials on single-crystalline AlN templates, as well as for studying device leakage in the backend of the device fabrication process, or similar homogeneous compound semiconductor heteroepitaxy studies.

Characterization and verification of low-enriched uranium plate using a non-destructive methodology

Non-destructive methods play a crucial role in evaluating the integrity of nuclear materials. During the production of low-enriched mini-uranium plates, some destructive tests were initially employed to assess parameters such as uranium meat density, homogeneity, 235U enrichment, and meat distribution within the clad. While these destructive methods provide precise measurements during the manufacturing process, they become impractical and costly post-fabrication. Consequently, non-destructive tests are employed for quality control, verification, and inspection of nuclear materials. Laboratories and factories are developing non-destructive methods that yield results closely aligned with destructive measurements. The present research focuses on creating non-destructive measurements for verifying 235U enrichment and meat distribution in mini-uranium plates. This innovative approach involves utilizing 235U gamma emission as input to calculate enrichment and meat distribution. High purity germanium (HPGe) and sodium iodide (NaI) detectors alongside MCNPX code for efficiency correction were used in the proposed non-destructive measurements, respectively. The obtained results were validated and verified against certified measurements and x-ray images of mini-uranium plate. The enrichment measurement exhibited consistency with certified measurements, with about 0.8% difference. Similarly, the meat distribution measurement aligned with the x-ray image of the plate. This research proposes a practical application for nuclear material control during mini-uranium plate fabrication and for ensuring accountability and verification of inventory in storage facilities.

Synthetic abnormal mast cell particles successfully mimic neoplastic mast cells by flow cytometry.

Clinical flow cytometry laboratories require quality control materials for assay development, validation, and performance monitoring, including new reagent lot qualification. However, finding suitable controls for populations with uncommonly expressed antigens or for rare populations, such as mast cells, can be difficult. To that end, we evaluated synthetic abnormal mast cell particles (SAMCP), developed together with, and manufactured by, Slingshot Biosciences. The SAMCP's were designed to phenotypically mimic abnormal neoplastic mast cells: they were customized to have the same light scatter and autofluorescence properties of mast cells, along with surface antigen levels of CD45, CD33, CD117, CD2, CD25, and CD30 consistent with that seen in mast cell disease. We evaluated several performance characteristics of these particles using ARUP's high sensitivity clinical mast cell assay, including limit of detection, off-target activity and FMO controls, precision, scatter properties of the particles utilizing several different cytometer platforms, and particle antigen stability. The phenotype of the SAMCP mimicked abnormal mast cells, and they could be distinguished from normal native mast cells. FMO controls demonstrated specificity of each of the markers, and no off-target binding was detected. The limit of detection of the particles spiked into normal bone marrow was found to be ≤0.003% in a limiting dilution assay. The mast cell particles were found to perform similarly on Becton Dickinson Lyric, Cytek Aurora, and Beckman Coulter Navios and CytoFLEX platforms. Within run and between run precision were less than 10% CV. SAMCP were stable up to 13 days with minimal loss of antigen fluorescence intensity. The SAMCP's were able to successfully mimic neoplastic mast cells based on the results of our high sensitivity mast cell flow cytometry panel. These synthetic cell particles represent an exciting and innovative technology, which can fulfill vital needs in clinical flow cytometry such as serving as standardized control materials for assay development and performance monitoring.

Pixel-Level Recognition of Trace Mycotoxins in Red Ginseng Based on Hyperspectral Imaging Combined with 1DCNN-Residual-BiLSTM-Attention Model.

Red ginseng is widely used in food and pharmaceuticals due to its significant nutritional value. However, during the processing and storage of red ginseng, it is susceptible to grow mold and produce mycotoxins, generating security issues. This study proposes a novel approach using hyperspectral imaging technology and a 1D-convolutional neural network-residual-bidirectional-long short-term memory attention mechanism (1DCNN-ResBiLSTM-Attention) for pixel-level mycotoxin recognition in red ginseng. The "Red Ginseng-Mycotoxin" (R-M) dataset is established, and optimal parameters for 1D-CNN, residual bidirectional long short-term memory (ResBiLSTM), and 1DCNN-ResBiLSTM-Attention models are determined. The models achieved testing accuracies of 98.75%, 99.03%, and 99.17%, respectively. To simulate real detection scenarios with potential interfering impurities during the sampling process, a "Red Ginseng-Mycotoxin-Interfering Impurities" (R-M-I) dataset was created. The testing accuracy of the 1DCNN-ResBiLSTM-Attention model reached 96.39%, and it successfully predicted pixel-wise classification for other unknown samples. This study introduces a novel method for real-time mycotoxin monitoring in traditional Chinese medicine, with important implications for the on-site quality control of herbal materials.

Review Paper: Key Points on Robot Navigation and Its Practical Uses in the Field of Manufacturing

Key aspects are covered in this review article, along with a brief explanation of mobile robot navigation and its uses in the industrial sector. This study emphasizes the significance of robot navigation in enhancing productivity, efficiency, and safety in manufacturing processes by compiling important ideas from the body of research and literature. This study investigates several robot navigation algorithms and strategies, from simple algorithms to sophisticated ones like SLAM (Simultaneous Localization and Mapping). This study also examines particular issues and concerns about the application of robot navigation systems in industrial settings, such as path planning, obstacle avoidance, and worker cooperation. This paper presents some noted applications of robot navigation, such as material handling, assembly, quality control, and logistics, using case studies and examples. The conversation also touches on new developments and prospective paths for robot navigation technology, highlighting the possibility for more innovation and connection with Industry 4.0 projects. All things considered, this review article is an invaluable tool for scholars, practitioners, and business experts who want to comprehend the function of robot navigation in contemporary manufacturing processes and how it will affect industrial automation in the future.

Evaluation of biological properties and phytochemical profile of Vitex trifolia L. extract and its infused oil as a value-added product for health promotion

Vitex trifolia L., a shrub plant, has long been used as a massage oil to treat a variety of ailments, particularly pain relief. Despite its long history of use, there has not been enough research done on its phytochemical profile and biological properties to validate its traditional use. Therefore, this current research aimed to evaluate its phytochemical profile and biological properties in two forms: Vitex trifolia L. ethanolic extract (VTE) and Vitex trifolia L. oil (VTO), which could be advantageous for clinical usage. Quality control of raw plant material, total phenolic, total flavonoid, and casticin of VTE and VTO were investigated. Furthermore, the antibacterial, antioxidant, and anti-inflammatory activities and cytotoxicity of VTE and VTO were evaluated. The study indicated that VTE contained more total phenolics (66.74±15.52 mg GAE/g), total flavonoids (29.68±2.05 mg CE/g extract), and casticin (2.45±0.02 mg/mL) than VTO. VTE consistently demonstrated stronger antibacterial, antioxidant, and anti-inflammatory properties than VTO. Taken together, VTE possessed remarkable antioxidant, anti-inflammatory, and antibacterial activities with no cytotoxic effects on cells. Even VTO had weak biological abilities. However, its stability testing revealed that the modestly accepted adjustments remained stable. Therefore, this study suggests that Vitex trifolia L. could be used as a natural product for health promotion and therapy.

Effect of single and double pulse laser-induced breakdown spectroscopy towards steel alloy in different gaseous media

In recent years, laser-induced breakdown spectroscopy (LIBS) technique showed its promising for material analysis, quality control, forensic science, and environmental safety monitoring. Besides, due to its rapid measurement capability and minimal sample-preparation requirements, it is a widely recognized elemental analysis approach used in a variety of study domains. The current work compares spatially resolved single (SP) and double pulse (DP), especially orthogonal DP, setups for LIBS to examine and enhance the limit of detection (LOD) in duplex stainless steels alloy. Using the Boltzmann plot method and the Stark broadening mechanism, the electron temperature and density of local arc plasma are highlighted due to single pulse and orthogonal pre-pulse double pulse configurations. With delay time, the circumstances of arc plasma's local thermodynamic equilibrium (LTE) of emission spectral lines are investigated. The experimental results show that there are significant increases in the spectral intensities of the Fe lines in double pulse LIBS under Ar-gas compared to those under He-gas. Internal standardization was used to create calibration curves for the spectral lines of Cr, Cu, and Mn in the alloy sample for the both studied media. It demonstrated that argon outperforms helium in determining the elemental composition of steel alloys. Furthermore, LOD for SP-LIBS and DP-LIBS in both media were calculated, which showed a higher detection LOD for DP-LIBS in the presence of Ar-gas compared to that in He-gas.

Application of gaussian filter and extraction features for quality control of fruit raw materials in the puree industry

The purpose of research in using Android-based raw material quality control applications in fruit puree factories is to enhance the industry's precision, uniformity, and efficiency. This application is developed to implement digital image processing utilizing two distinct methods: Gaussian filters and feature extraction. The implemented application captures guava data using the camera of an Android phone and subsequently resizes the image to dimensions of 600x600 pixels. Subsequently, the image colors are recovered by employing a Gaussian filter that operates on normalized Red-Green-Blue values. A minimum of 120 photos of red guava fruit from the raw material of one of the puree companies were subjected to image processing procedures. The application solely focuses on the color and texture of the fruit's skin, ensuring that the sample remains undamaged while adhering to hygienic guidelines. The ripeness degree of guava fruit is determined by employing an image classification algorithm with the K-nearest neighbor method. The application validation using K-fold cross-validation achieved an accuracy of 90.0% and a precision of 90.27% when applied to color imagery. When feature extraction was used, the accuracy was 83.3%, with a precision of 83.4%. Color extraction provides a more precise method for identifying ripe guava. The utilization of guava fruit ripeness detection in the quality control of raw materials for the puree sector has been simplified and made more user-friendly through the development of an Android-based application. Officers are not obligated to possess specialized expertise regarding the quality of raw materials.

Evaluating the Impact of 3D Printing Technology Innovations on Industrial Production Efficiency and Economic Growth in the Automotive Sector in China

This paper evaluates the impact of 3D printing technology innovations on industrial production efficiency and economic growth in the automotive sector in China. The study explores the historical development and current market trends of 3D printing in China, highlighting its adoption and integration into automotive manufacturing. The applications of 3D printing, including the production of complex geometric parts, rapid prototyping, and customization, are examined for their economic benefits and production efficiency gains. The paper also addresses the technological and market challenges, such as material limitations, printing speed, quality control, regulatory compliance, and market readiness. Emerging technologies and future research directions, including advancements in materials, multi-material printing, large-scale 3D printing, and the integration with IoT and AI, are discussed. Strategic recommendations are provided to maximize the potential of 3D printing in the automotive industry, focusing on investments in R&D, partnerships, workforce training, agile manufacturing practices, sustainability, IP protection, and supply chain optimization. The findings suggest that while 3D printing technology offers significant advantages, addressing existing challenges and leveraging future innovations are crucial for its successful adoption and impact on economic growth in the Chinese automotive sector.

Assesment of Quality Management Practice on High-Rise Building, the Case of Banking and Insurance Companies in Addis Ababa

This research focuses on the assessment of quality management practices within the context of constructing high-rise buildings, with a particular emphasis on buildings designated as headquarters for banking and insurance companies in Addis Ababa. The objective of this study is to gain a comprehensive understanding of the various factors that contribute to the successful execution of complex construction projects in this domain. Employing a hybrid research approach that combines both qualitative and quantitative methods, the investigation explores a range of aspects related to quality assurance, monitoring, evaluation, and regulatory oversight. The study explores the impact of inadequate quality management on the overall quality, structural integrity, and safety of high-rise buildings. It also identifies barriers and challenges in implementing quality management practices, as well as performance indicators and metrics for assessing the effectiveness of quality control measures. Additionally, the research delves into monitoring construction activities for compliance with quality control measures and ensuring quality standards for materials used in high-rise construction. Furthermore, it discusses quality benchmarks, standards, and the monitoring and evaluation of quality assurance measures implementation within organizations, including policies and procedures specific to high-rise building projects. Through interviews with various stakeholders, this study aims to provide valuable insights into enhancing the quality management processes in high-rise construction projects, ultimately contributing to the advancement of building safety and integrity in urban environments. Building upon these insights, the research concludes by presenting a series of strategic recommendations designed to enhance quality management practices in high-rise building construction projects. These recommendations span multiple dimensions, including strengthening regulatory oversight, implementing integrated quality assurance policies, establishing comprehensive monitoring and evaluation frameworks, defining quality benchmarks and performance metrics, ensuring robust materials quality control.

TEST RESULTS OF DOMESTIC RECUPERATIVE COALS

Adsorption steam recovery plants (VRS) of oil and petroleum products are among the most common in the world. This is facilitated by their relatively high throughput, low energy consumption, and a sufficiently high achievable degree of purification of the gas-air mixture (GAM) from hydrocarbons. The main consumable material in this case is an adsorbent – a substance capable of first selectively attaching hydrocarbon gases contained in hot water to its surface, and when thermodynamic conditions change, it detaches them. Most often, recuperative (activated) coal is used as an adsorbent. During operation, the adsorption capacity of recuperative coal gradually decreases. This is facilitated by the mechanical destruction heavy hydrocarbons contained in the hot water, which cannot be fully isolated during the desorption operation. Therefore, periodically recuperative coal requires replacement.Until recently, it was purchased abroad. Usually, recuperative coal was supplied complete with the recuperation units themselves, supplied from abroad. However, to date, adsorption VRS have begun to be produced in Russia. In addition, the endless sanctions of the West are forcing us to look for sources of supply of this adsorbent inside the country.The article presents the results of comparative laboratory tests of a number of recuperative coals for use in the adsorption of hydrocarbons from hot water. According to the of coal granules, as well as water vapor and value of the integral efficiency indicator, the best of them was the Sorber-30 brand coal. In addition, the enterprise at which it is produced has the necessary production facilities, human resources, capabilities for conducting input quality control of raw materials and the quality of finished products, and also supplies recuperative coal to consumers in sufficiently large volumes, i.e. is a reliable supplier.The article also describes the results of comparative industrial tests of the recovery coal «Sorber-30» and imported coal of the brand «CGF4 plus», operated in the adsorption VRSin LLC «Transneft – Port Kozmino» since 2014.

ОСОБЕННОСТИ ПРОИЗВОДСТВА ПОЛИМЕРНЫХ ТРУБ МЕТОДОМ ЭКСТРУЗИИ

The features of the production of polymer pipes by extrusion are considered. The need for quality control of raw materials, as well as technological parameters at all stages of the process, has been identified