Fault detection of connecting journals and main journals of the crankshaft
https://doi.org/10.32786/2071-9485-2023-04-55
Abstract
The article deals with the problems associated with the defectiveness of the connecting rod and main journals of the crankshaft, and also presents a mathematical description of this process, taking into account the control of dimensions, shape and location of surfaces. The studies were carried out at the repair enterprises of the agro-industrial complex. Determining the condition of parts after fault detection is an important step in the repair process. This determines whether parts can be machined to repair size or should be rejected. To more accurately determine the condition of defective parts, a tool was developed for monitoring and analyzing dimensions and shape deviations. This tool allows you to evaluate defects in more detail and determine how critical they are for the further use of the part.
Introduction. In the context of import substitution and resource conservation in machine-building production, the control of internal combustion engine parts is becoming increasingly important. If foreign engines cannot be repaired, then domestic engines can be repaired. When repairing engines, important parts that require fault detection are the cylinder block, crankshaft, camshaft, cylinder head, connecting rods and other expensive and heavily loaded parts. The loss or incorrect diagnosis of the condition of one of these parts can significantly increase the cost of a repaired engine. Therefore, fault detection operations should be thorough, competent and require the use of accurate measuring instruments. Metrological support of the repair process is a paramount task to prevent significant risks arising from the control and fault detection of engines.
Object. The object of research is the operation of defective parts in the repair industry.
Materials and methods. The studies were carried out at the repair enterprises of the agro-industrial complex during the fault detection of parts. The mathematical description of the defect detection process is carried out in the form of inequalities.
Results and conclusions. In the process of flaw detection, it is necessary to control not only the dimensions of the parts, but also their shape and surface arrangement. The wear of individual elements of parts occurs faster than others. This is due to the operating conditions. As a result of fault detection of parts, it is possible to determine whether they can be processed to the repair size or should be rejected. A tool for monitoring and analyzing dimensions and shape deviations was developed, which will allow more accurate determination of the condition of the defective part.
About the Authors
G. N. TemasovaRussian Federation
Temasova Galina Nikolaevna, Ph.D. of Economy sciences, Associate Professor of the Department of Metrology, Standardization and Quality Management
Russian Federation, 127550, Moscow, Timiryazevskaya Str., 49
O. A. Leonov
Russian Federation
Leonov Oleg Albertovich, Doctor of Engineering Sciences, Professor of the Department of Metrology, Standardization and Quality Management
Russian Federation, 127550, Moscow, Timiryazevskaya Str., 49
A. N. Samordin
Russian Federation
Samordin Andrey Nikolaevich, applicant for the degree of candidate of sciences, Senior Lecturer of the Department of Metrology, Standardization and Quality Management
Russian Federation, 127550, Moscow, Timiryazevskaya Str., 49
D. O. Leonov
Russian Federation
Leonov Dmitriy Olegovich, 2nd year Master's degree student in standardization and Metrology
Russian Federation, 127550, Moscow, Timiryazevskaya Str., 49
References
1. Belov V. V., Lopatin A. K. Algorithm for estimating geometric parameters of products on a conveyor belt. XXI century: results of the past and problems of the present plus. 2016. № 6 (34). Pp. 34-42.
2. Belov V. V., Lopatin A. K. Formation of mixtures of algorithms for solving the problem of automatic measurement dimensions of products on a conveyor belt. Cloud of Science. 2017. Vol. 4. No 3. Pp. 384-394.
3. Leonov O. A., Shkaruba N. J. Normalization of the error of indirect measurements during acceptance tests of engines. Measuring technique. 2022. No 8. Pp. 23-27.
4. Selection of universal measuring instruments of linear dimensions up to 500 mm (according to GOST 8.051-81): RD 50-98-86 Methodological guidelines. Moscow: Publishing House of Standards, 1987. 80 p.
5. Bondareva G. I. Fundamentals of designing input control operations at machine-building enterprises. Moscow: OntoPrint LLC, 2020. 89 p.
6. Shkaruba N. J. Improvement of metrological support of repair production of the agroindustrial complex: specialty 05.20.03 "Technologies and means of maintenance in agriculture": dissertation for the degree of Doctor of Technical Sciences. Moscow, 2019. 274 p.
7. Shkaruba N. J. Risk management of measuring processes in repair production. International Technical and Economic Journal. 2018. No 6. Pp. 77-82.
8. Karpuzov V. V., Shkaruba N. J., Sapozhnikov I. I., Antonova U. Yu. Selection of measuring instruments for input quality control of pistons in the conditions of repair production. International Technical and Economic Journal. 2018. No 4. Pp. 83-89.
9. Chigrik N. N. Investigation of the influence of the error of the measuring instrument on the parameters of the disassembly and the accuracy of the technological process during the measuring control of the height of the piston rings of an automobile engine. Omsk Scientific Bulletin. 2014. No 2(130). Pp. 86-92.
10. Chigrik N. N. Evaluation of the accuracy of the element dimensions of the parts of the cylinder-piston group of the ZMZ-511.10 automobile engine. Omsk Scientific Bulletin. 2013. № 2 (120). Pp. 123-132.
11. Senin P. V., Rakov N. V., Makeikin A. M. Evaluation of the technical condition of cylinder heads engine ZMZ-406 and recommendations for its restoration. Perm Agrarian Bulletin. 2019. № 2 (26). Pp. 24-33.
12. Vergazova Yu. G., Chepurin A. V., Cherkasova E. I., Antonova U. Yu. Evaluation of the accuracy of measurements of the neck under the crankshaft pulley of the YAMZ 38 engine. Rural mechanizer. 2022. No 12. Pp. 38-40.
13. Leonov O. A., Golinitsky P. V., Antonova U. Yu., et al. The choice of measuring instruments for the defect of the main supports of the YAMZ engine. Agroengineering. 2022. Vol. 24. No 6. Pp. 59-63.
Review
For citations:
Temasova G.N., Leonov O.A., Samordin A.N., Leonov D.O. Fault detection of connecting journals and main journals of the crankshaft. Title in english. 2023;(4 (72)):547-555. (In Russ.) https://doi.org/10.32786/2071-9485-2023-04-55