scholarly journals Possibilities of 3D scanning of parts during repair of agricultural machinery

2021 ◽  
Vol 37 ◽  
pp. 00003
Author(s):  
Ivan Golubev

New high-precision and productive tools are needed due to the increasing requirements to the finishing accuracy of reworked parts and the assembly of units and machines in repair production. One of the most dynamically developing areas of digital production is the use of 3D technologies. They are most actively used in the aviation and automotive industry, as well as in the manufacture of machine elements from various parts. In recent years, there have been some publications on the use of 3D technologies in the repair of machines, including the reconditioning and hardening of parts. The current global trend is the creation of digital measurements and systems for contactless optical quality control of products. The paper and analyzes 3D scanning technologies developed by scientific and educational organizations, as well as presented at various international specialized exhibitions. The analysis and synthesis of information revealed that various laser scanners have been developed and used for 3D scanning, mainly for manufacturing quality control. The study analyzes the possibilities of their use to monitor the geometric parameters of parts of agric ultural machines during the input control of spare parts and repair of machines. 3D scanning has been found to improve measurement accuracy and performance compared to contact tools. The paper presents the main directions of 3D technologies in repair production. A promising area of introducing 3D technologies into repair production is the integrated use of additive technologies and 3D scanning. In case of fault detection using a 3D scanner, the wear value is determined, and the 3D printer recovers the wornout surface taking into account the non-uniformity of wear. Thus, the additive material consumption is reduced from 20 to 90%.

Author(s):  
Ivan G. Golubev ◽  
Vladimir V. Bykov ◽  
Mikhail I. Golubev ◽  
Ivan A. Spitsyn

The share of the main types of agricultural machinery with a service life of more than 10 years in the total volume of equipment remains high. The maintenance the performance of machinery and equipment are performed mainly by repair and restoration processes. In recent years, there used a 3D-scanning technology in the repair of machines. (Research purpose) The research purpose is in searching for the possibility of using 3D-scanning technologies in the repair of equipment based on the analysis of information materials. (Materials and methods) Authors used open information sources from various scientific and educational organizations for analysis. The great attention has been paid to the analysis of 3D-scanning technologies presented at various international specialized exhibitions. It was found that various laser scanners have been developed and used for 3D-scanning, mainly for quality control of parts manufacturing. It was also found that they can be used to control the geometric, physical and mechanical parameters of agricultural machinery parts during the input control of spare parts and repair of machines. (Results and discussion) It has been found that 3D-scanning improves the accuracy and performance of measurements in comparison with contact devices. The article notes that the use of 3D-scanning in convergent modeling technologies and in additive manufacturing is becoming a modern trend in mechanical engineering. (Conclusions) A promising direction for the introduction of 3D-technologies in repair production is the integrated use of additive technologies and 3D-scanning; when parts are defective after disassembly of the repaired units, the machine uses a 3D-scanner to determine the wear, and a 3D-printer to restore the worn surface, taking into account the uneven wear. The advantages of this repair technology include increasing the accuracy of measurement, reducing the range of measurement tools used, and the ability to restore parts of complex geometric shapes. Spot application of a layer of additive material to the wear site reduces material consumption by 20-90 percent.


Author(s):  
E.V. Bondarenko ◽  
◽  
D.A. Dryuchin ◽  
S.V. Bulatov ◽  
◽  
...  

The efficiency of vehicle operation largely depends on the quality of the spare parts used in the maintenance and repair of vehicles. The significance of the factor under consideration is determined by the complex influence on the economic indicators of vehicle operation and on traffic safety indicators. One of the measures aimed at improving the efficiency of operation is the organization of input quality control of spare parts. The costs of conducting and technological complexity of the input control vary significantly for different controlled objects, the effect of its implementation is ambiguous, which determines the relevance of the task of evaluating the effectiveness and expediency of its organization. Based on the urgency of the problem, the aim of the study is to improve the efficiency of the operation of motor vehicles by determining the optimal parameters of the input quality control system for spare parts. The hypothesis is put forward that the introduction of quality control of spare parts in the production cycle of motor transport and service enterprises will increase the efficiency of vehicle operation. To achieve this goal, a mathematical model for evaluating the effectiveness of input quality control of spare parts has been developed. Based on the parameters of the developed model, the target function of the study is de-termined, and restrictions due to the operating conditions of vehicles are established. Based on the results of the analysis of the assessment of the significance of factors that determine the efficiency of transport activities, it is proposed to use the value of total costs, including the likely damage from missing a defective part, unit, or unit, as the main criterion for the effectiveness of input quality control of spare parts . On the basis of the created mathematical model, a methodology for evaluating the feasibility of organizing input quality control of spare parts used in the maintenance and repair of vehicles is developed To confirm the proposed hypothesis, the adequacy of the developed model was checked. One of the largest passenger motor transport enterprises of the city of Orenburg — CJSC «Avtokolonna 1825» was chosen as the base for the study. As a model unit, the gimbal transmission of buses of the KaVZ family is considered. It is established that the direct costs of organizing the input control of this node are compensated by the savings due to the increased reliability of vehicles. But, based on the fact that this reduces the likelihood of road accidents caused by the failure of the cardan transmission, conclusions are drawn about the feasibility of organizing input control.


2020 ◽  
Vol 19 (6) ◽  
pp. 1035-1055 ◽  
Author(s):  
S.V. Pankova ◽  
V.V. Popov

Subject. The article considers the development of a set of methods and indicators of economic analysis, which can be used for performance audit of customs authorities, using the Volga Customs Administration case. Objectives. The aim is to justify the use of analytical procedures to rank the effectiveness of customs payments for the purpose of performance audit of customs authorities. Methods. We employ general scientific methods of research, i.e. dialectical and monographic methods, logical analysis, comparison, as well as the Euclidean distance method. Results. We reviewed works by Russian and foreign scholars on the history of customs audit development and internal financial control of customs authorities, gave scientific credence to attributing the system of customs payment and performance to the indicators of economic activity of customs authorities. Due to the lack of methods for assessing the performance of customs authorities, the use of analytical procedures during the performance audit seems to be a promising area. Conclusions. When verifying the scientific hypothesis put forward in the study, we established that the introduction and development of the ranking system for the performance of customs authorities related to the collection of customs duties can contribute to effective financial audit of customs authorities in general.


2020 ◽  
Vol 16 (4) ◽  
pp. 730-744
Author(s):  
V.I. Loktionov

Subject. The article reviews the way strategic threats to energy security influence the quality of people's life. Objectives. The study unfolds the theory of analyzing strategic threats to energy security by covering the matter of quality of people's life. Methods. To analyze the way strategic threats to energy security spread across cross-sectoral commodity and production chains and influences quality of people's living, I applied the factor analysis and general scientific methods of analysis and synthesis. Results. I suggest interpreting strategic threats to energy security as risks of people's quality of life due to a reduction in the volume of energy supply. I identified mechanisms reflecting how the fuel and energy complex and its development influence the quality of people's life. The article sets out the method to assess such quality-of-life risks arising from strategic threats to energy security. Conclusions and Relevance. In the current geopolitical situation, strategic threats to energy security cause long-standing adverse consequences for the quality of people's life. If strategic threats to energy security are further construed as risk of quality of people's life, this will facilitate the preparation and performance of a more effective governmental policy on energy, which will subsequently raise the economic well-being of people.


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Wendell Jones ◽  
Binsheng Gong ◽  
Natalia Novoradovskaya ◽  
Dan Li ◽  
Rebecca Kusko ◽  
...  

Abstract Background Oncopanel genomic testing, which identifies important somatic variants, is increasingly common in medical practice and especially in clinical trials. Currently, there is a paucity of reliable genomic reference samples having a suitably large number of pre-identified variants for properly assessing oncopanel assay analytical quality and performance. The FDA-led Sequencing and Quality Control Phase 2 (SEQC2) consortium analyze ten diverse cancer cell lines individually and their pool, termed Sample A, to develop a reference sample with suitably large numbers of coding positions with known (variant) positives and negatives for properly evaluating oncopanel analytical performance. Results In reference Sample A, we identify more than 40,000 variants down to 1% allele frequency with more than 25,000 variants having less than 20% allele frequency with 1653 variants in COSMIC-related genes. This is 5–100× more than existing commercially available samples. We also identify an unprecedented number of negative positions in coding regions, allowing statistical rigor in assessing limit-of-detection, sensitivity, and precision. Over 300 loci are randomly selected and independently verified via droplet digital PCR with 100% concordance. Agilent normal reference Sample B can be admixed with Sample A to create new samples with a similar number of known variants at much lower allele frequency than what exists in Sample A natively, including known variants having allele frequency of 0.02%, a range suitable for assessing liquid biopsy panels. Conclusion These new reference samples and their admixtures provide superior capability for performing oncopanel quality control, analytical accuracy, and validation for small to large oncopanels and liquid biopsy assays.


Author(s):  
N. А. Petrishchev ◽  
I. M. Makarkin ◽  
A. O. Kapustkin ◽  
A. S. Sayapin

The article presents proposals for the possible use of secondary Fund units and aggregates as an Autonomous drive for multifunctional control and diagnostic stands, which will improve the quality of repair of transmission and hydraulic drive units.


Author(s):  
N. Petrishchev ◽  
I. Makarkin ◽  
A. Kapustkin ◽  
A. Sayapin

The article presents proposals for the possible use of secondary Fund units and aggregates as an Autonomous drive for multifunctional control and diagnostic stands, which will improve the quality of repair of transmission and hydraulic drive units.


2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Sheng Hu ◽  
Shuanjun Song ◽  
Wenhui Liu

Considering the problem that the process quality state is difficult to analyze and monitor under manufacturing big data, this paper proposed a data cloud model similarity-based quality fluctuation monitoring method in data-driven production process. Firstly, the randomness of state fluctuation is characterized by entropy and hyperentropy features. Then, the cloud pool drive model between quality fluctuation monitoring parameters is built. On this basis, cloud model similarity degree from the perspective of maximum fluctuation border is defined and calculated to realize the process state analysis and monitoring. Finally, the experiment is conducted to verify the adaptability and performance of the cloud model similarity-based quality control approach, and the results indicate that the proposed approach is a feasible and acceptable method to solve the process fluctuation monitoring and quality stability analysis in the production process.


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