Design Of Agricultural Machinery Research Articles

Predicting the impact of wheel passage on terrain unevenness

This article presents a novel approach to accurately predict how terrain unevenness is modified by the passage of a wheel under varying operating conditions. The proposed method uses a moving average filter to model the deformation of the soft soil caused by the rolling wheel. The window length of the filter is determined by key terrain parameters as well as the geometry of the wheel. The method’s accuracy and robustness are validated through a series of comparisons with a high-fidelity model developed in the multibody simulation environment MSC Adams, along with an experiment conducted in a real agricultural scenario. This model incorporates classical terramechanics theory to simulate the complex interactions between the wheel and the terrain. Key findings indicate that the moving average filter approach not only simplifies the computational process but also maintains a high degree of accuracy in predicting terrain deformation across a range of operating conditions. This method offers significant potential for improving the design and optimization of off-road vehicles, agricultural machinery, and planetary rovers by providing a more efficient tool to assess terrain interaction dynamics. In general, this study lays the foundations for advances in understanding and predicting terrain behavior under the influence of rolling wheels, contributing to the broader field of vehicle-terrain interaction research.

Design and Testing of a Tractor Automatic Navigation System Based on Dynamic Path Search and a Fuzzy Stanley Model

Smart agriculture development mainly depends on the intelligence and reliability of autonomous agricultural machinery. Automatic navigation systems (ANSs) play a key role in intelligent agricultural machinery design, as they not only reduce farmers’ workloads but also improve their land utilization rates. In this paper, a tractor ANS based on dynamic path search and a fuzzy Stanley model (FSM) was designed, and its capability for whole-field path tracking was tested. First, the tracking performance of the steering control module was validated after the automatic reconstruction of the tractor platform. Then, a navigation decision system was established based on a unified reference waypoint search framework, where the path generation for whole-field coverage was presented. Finally, the gain coefficient of the Stanley model (SM) was adjusted adaptively according to the tracking error by utilizing the fuzzy logic controller. Subsequently, the developed tractor ANS was tested in the field. The experiment’s results indicate that the FSM outperformed the SM in straight path tracking and whole-field path tracking. When the tractor traveled at a speed of 1 m/s, the maximum lateral tracking error for the straight path was 10 cm, and the average lateral tracking error was 5.2 cm, showing improvements of 16.7% and 10.3% compared to the SM. Whole-field autonomous navigation showed that the maximum lateral tracking error was improved from 34 cm for the SM to 27 cm for the FSM, a reduction of approximately 20.6%, illustrating the superiority of the FSM in the application of whole-field path tracking. As the maximum tracking error of whole-field autonomous navigation appears in the turning stage, where tractors often stop working, the designed ANS satisfies the requirements of a self-driving system for unmanned tractors.

Research on fruit picking test of blueberry harvesting machinery under transmission clearance

Since China possesses the vast territory and a large blueberry planting area, blueberry harvesting with hand is laborious and time consuming. As the blueberry planting agronomy in China is different from other countries, it is pretty significant to develop blueberry harvesting machinery applicable to the domestic planting agronomy to achieve mechanized harvesting of blueberries. In blueberry harvesting operation, the harvesting system as the core component of the machine is the key technology of the harvesting machinery. The previous study found that: in terms of harvesting machinery, most of the literature has studied the dynamic characteristics, while few articles have been published to study the transmission clearance. But the clearance collision force generated by the transmission clearance of the harvesting system directly affected the output load moment and harvesting force of the machine developed by acting on the plant, and then affected the picking efficiency and the quality of picked fruit. Therefore, this paper focuses on the study of the transmission clearance of the blueberry harvesting machine. Firstly, the MLSD modeling method was applied to establish the transmission clearance model of the harvesting device, and the corresponding mechanical analysis of the transmission clearance was carried out. Secondly, after programming in MATLAB software and simulation in ADAMS software, the correctness of the transmission clearance model of the harvesting device was verified in different environments. The multi-body dynamics analysis software ADAMS was used for building the transmission clearance model of the harvesting device and perform mechanical simulation to analyze the clearance collision force and the output load moment of the harvesting device. Pro/E, ADAMS and ANSYS software were integrated to establish the flexible body of blueberry plant. Then the flexible body was combined with the mechanical model of harvesting device for rigid-flexible coupling simulation analysis to study the fruit harvesting force under different transmission clearances. Finally, the orthogonal method was used to conduct field test on blueberry harvesting to study the influence of the transmission clearance on the quality of picked fruit and picking efficiency of the machinery. Therefore, the best combination of the transmission clearance of the harvester was obtained as follows: cam clearance (the clearance joints of cam) was 0.25 mm, the slider clearance was 0.2 mm, left connecting rod clearance pair was 0.1 mm, right connecting rod clearance pair was 0.2 mm; the field picking test was conducted to obtain the machine's picking efficiency was 3.93 kg min−1, the shedding rate of unripe fruit was 3.1 %, and the damage rate of picked fruit was 2.8 %. The research findings of this paper can offer referenced basis and theoretical support for berry harvesting machinery, and also can provide guidance for the design and improvement of other agricultural and forestry harvesting machinery.

SUBSTANTIATION OF CHANGES IN THE CERTIFICATION OF THE TRACTOR DRIVER’S WORKPLACE IN MODERN MACHINE-TRACTOR UNITS

The study aims to identify possible changes in the working conditions of tractor drivers under the computerisation of workplaces and to develop proposals for changing the requirements for sanitary standards in the design of tractors and agricultural machinery. The article analyses the impact of modern technologies on the working conditions of tractor drivers in agriculture. It investigates various aspects of work, including using on-board computers, air conditioning, and satellite navigation, and their impact on workers’ health. The authors consider health risks, such as increased noise levels and work with on-board computers, and reveal the lack of consideration of these aspects in regulatory documents. In particular, we have found that using on-board computers significantly simplifies the process of controlling agricultural machinery but can lead to increased noise and vibration levels, negatively affecting workers’ health. Some studies have shown that prolonged work with on-board computers can lead to the development of occupational diseases, such as musculoskeletal disorders, impaired vision, and others. In addition, air conditioning in tractor cabs can cause colds due to sudden temperature changes and increase the risk of legionella infection due to the water condensation accumulation in ventilation systems. The research also found that the legal and regulatory documents governing the working conditions of tractor drivers do not consider the use of modern technologies, which creates gaps in worker protection. Regulatory documents should contain requirements for the parameters of monitors and their placement in the working area of tractor drivers in agricultural production, such as adjusting the reflectivity of the screen, the main adjusted visual characteristics of monitors, and the location of video terminals in the tractor cab without being directly in the line of sight. It is necessary to develop measures to prevent the overwork of tractor drivers. Regulations should include rules for the use of air conditioners, as well as for cleaning air conditioning ducts and replacing filters on time. The general conclusion is that there is a need to strengthen the regulation of tractor drivers’ working conditions and to include requirements for using modern technologies in the relevant regulations. These measures will ensure the safety and health of workers in agriculture and reduce the risk of occupational diseases. Keywords: machine-tractor unit, tractor driver, workplace certification, labour protection, video terminal.

Determination of Ergonomic Factors of the Backpack Blowers Used in the Windrow of Hazelnuts

Ergonomics plays an important role in the design and use of agricultural machinery to protect the health and safety of workers. Lack of ergonomic design negatively affects worker discomfort and safety. Therefore, ergonomic design should ensure that workers can work comfortably, maintain correct posture, and minimize the risk of injury. Especially workers using backpack machines are exposed to physical fatigue, posture problems, risk of injury, and ergonomic effects due to vibration and noise. Considering all these, this study was conducted to determine the ergonomic factors (ergonomic analysis of the operator's working posture, operator's fatigue values, noise level, and dust concentration) that the operator is exposed to as a result of different body positions and moving the air diverter hose while using the backpack type blowers used to windrow the kernel+husked nuts falling on the orchard ground during the hazelnut harvest period. According to this, in all three ergonomic risk methods, the operator's body posture was found to be risky, and ergonomic adjustments were needed. Again, the operator's fatigue value, noise level, and dust concentration were obtained as 10.43 kcal min-1, 91.70 dB(A)-106.20 dB(A) (average 98.95 dB(A)), 19.241-21.390 mg m-3-air ( average 20.315 mg m-3-air), respectively. The identification of ergonomic factors is also very important to improve the user experience, prevent occupational accidents, and improve machine performance in general. With the identification of these factors, optimized solutions for the safety and comfort of users will be put forward by adopting a human-centered approach in machine design.

Construction and parameter calibration of potato double‐layer flexible bonding model based on discrete‐element method

AbstractThe current discrete‐element simulation models for potatoes are multisphere polymer models derived from the Hertz–Mindlin (no slip) contact model in the discrete‐element simulation software (EDEM). These models oversimplify by considering potato peel and flesh as sharing identical mechanical properties within the structure. This oversimplification impedes a thorough investigation of the characteristics and mechanisms underlying potato peel‐breaking damage during mechanized harvesting, making in‐depth exploration challenging through simulation experiments. Consequently, this study conducted laboratory tests to determine the water content of potato peel and flesh, as well as the friction coefficients and collision recovery coefficients for various material pairs: flesh–steel, peel–steel, peel–peel, peel–flesh, and flesh–flesh. Subsequently, based on these findings, a double‐layer flexible bonding model for potato samples and whole stems under specific water content conditions was developed using EDEM software. The bonding parameters of the double‐layer flexible model for potato samples were refined through virtual shear calibration tests, leading to the identification of the optimal parameter combination: Flesh particle–flesh particle normal stiffness(tangential stiffness) per unit area X1 = 4.39 × 108 N/m3, peel particle–flesh particle normal stiffness(shear stiffness) per unit area X3 = 1.81 × 109 N/m3, peel particle–peel particle shear stiffness per unit area X6 = 1.99 × 109 N/m3, peel particle–peel particle critical normal stress X7 = 2.06 × 109 Pa. To validate the accuracy of the bonding parameters, shear and compression validation tests were conducted on entire potato stems. Comparison of the validation results from laboratory tests and simulation tests revealed an average relative error of e = 3.25%, signifying the feasibility of the constructed double‐layer flexible bond model for potatoes. This model meets the requirements for studying the characteristics and mechanisms of peel‐breaking damage in potatoes.Practical ApplicationsThe paper introduces a novel double‐layer flexible bonding model for potatoes using the discrete‐element method (DEM), which accurately simulates the mechanical properties and damage characteristics of potato peels and flesh. This research has significant practical applications in agricultural machinery design, improving the efficiency and reducing the damage during mechanical harvesting. By providing a more realistic simulation of potato behavior under mechanical stress, it can guide the development of gentler handling equipment, reduce waste, and enhance the quality of harvested potatoes. This contributes to optimizing the post‐harvest process, ensuring better storage, and extending the marketable life of potatoes.

Academician V.N. Boltinsky’s Scientific article Legacy in Agricultural Engineering Education and Science (Commemorating the 120th Anniversary of the Birth)

The article delves into the scientific contributions and advancements of the eminent Russian scientist in agricultural tractor construction, Vasily Nikolaevich Boltinsky. (Research purpose) The paper aims to shape and consolidate historical, scientific, engineering and technical concepts regarding the establishment and development of scientific and pedagogical institutions focused on the study of tractor engine operation and machine-tractor units in unsteady modes. It also seeks to underscore the contributions made by Doctor of Technical Sciences, Professor, and Member of VASKHNIL, V.N. Boltinsky. (Materials and methods) The study employs a chronological approach, utilizing historical, scientific, and informational resources, including publications by prominent scientists and original works by the academician himself. The paper also analyzes and summarizes historical facts detailing the role of V.N. Boltinsky in enhancing the design and efficiency of Soviet tractors and machinery units. (Results and discussions) Throughout his career, from assistant to associate professor to vice-president of VASKHNIL, V.N. Boltinsky dedicated himself to developing and testing new models of both foreign and domestic tractor equipment. His extensive experience and years of research culminated in the publication of the monograph «Operation of a tractor engine under unsteady load», which extensively explores the impact of varying loads on engine performance. V.N. Boltinsky successfully solved problems related to enhancing the operational speed of machine and tractor units, as well as innovating the design of agricultural machinery. (Conclusions) The life and professional endeavors of V.N. Boltinsky serve as a shining example of dedication to science, education, and the professional advancement of engineering and scientific professionals. To honor his legacy, an annual scientific and practical seminar entitled «Academician V.N. Boltinsky Readings» is held in Russia, ensuring his contributions continue to be celebrated and remembered.

A Review of Contact Models’ Properties for Discrete Element Simulation in Agricultural Engineering

In agricultural engineering, the discrete element simulation of the operational structure, object of movement, and force has become a standard method of modern agricultural equipment design. The selection and development of an appropriate contact model are critical factors affecting the accuracy of the process of the simulation calculation of the movement and force. Understanding how to choose or establish suitable contact models according to different research fields, objects, and purposes has become the focus of present research. This paper gives an overview of contact models for discrete element simulation, summarizes and analyzes the simulation calculation basis of different contact models, and focuses on the application status and scenarios of different models at this stage. It analyzes and summarizes the selection basis and application fields of contact models. The next direction in the development of discrete element simulation contact models should be the hybrid application of multicontact models and the precise development of specialized contact models. It is necessary to establish a standardized parameter-calibration process for different contact models to guarantee the accuracy of the models, to improve the application of computer arithmetic, and to establish an efficient and accurate simulation contact model selection and application in the field of agricultural engineering. Efficient and accurate simulation contact model selection, design theory, and calculation processes will improve the efficiency of modern agricultural machinery design.

Moisture-Dependent Physical and Aerodynamics Properties of Cowpea Seeds

This study focuses on the significant impact of moisture content on the engineering properties of cowpea seeds, which is vital for designing effective agricultural tools, equipment, and machines. We specifically examined two cowpea seed varieties, SAMPEA-16 and SAMPEA-14, across different moisture levels (10, 15, 20, 25, and 30% wb). Our findings show distinct variations in the physical characteristics of these seeds as the moisture content changes. For both SAMPEA-16 and SAMPEA-14, we observed changes in average length, width, and thickness at each moisture level. At moisture contents ranging from 10% to 30% wb, the dimensions for SAMPEA-16 were 11.20 mm by 9.10 mm by 8.61 mm, gradually changing to 10.60 mm by 8.80 mm by 8.50 mm, and for SAMPEA-14, they ranged from 8.30 mm by 6.50 mm by 6.50 mm to 8.40 mm by 6.50 mm by 6.40 mm. Significantly, the 1000 seed mass for SAMPEA-16 increased from 302.30 g to 404.80 g within the 15% to 30% moisture range, while the sphericity varied from 0.849 to 0.877. For SAMPEA-14, similar trends were observed with the sphericity shifting from 0.848 to 0.852. Additionally, the true density for SAMPEA-14 and SAMPEA-16 changed from 1034.12 kg m-³ to 1074.40 kg m-³ and 1089.61 kg m-³ to 1116.87 kg m-3, respectively. Another notable finding is the increase in the angle of repose with moisture content. For SAMPEA-16, it rose from 22.40˚ to 30.23˚, and for SAMPEA-14, from 23.22˚ to 34.28˚, as moisture content increased from 10% to 30%. Furthermore, the terminal velocity for both varieties increased with moisture, with SAMPEA-14 ranging from 4.92 to 5.25, and SAMPEA-16 from 5.72 to 6.16, at 10% to 25% moisture content. The insights from this study are crucial for the design of agricultural machinery, processing units, and storage facilities, aiming to enhance the quality and quantity of cowpea produce.

The impact of the grinding angle of the soil dredging tool on its performance

This investigation explores the optimization of the backhoe blade's entry angle, addressing its crucial role in enhancing energy efficiency and operational effectiveness in subsoil manipulation - a fundamental aspect of agricultural tillage technologies. Utilizing an integrated approach that combines detailed field experiments with robust theoretical simulations, the study methodically quantifies the effects of angular variations on energy demands and mechanical performance during soil dredging. Our results reveal precise angular configurations that offer optimal reductions in energy use while significantly improving the disruption and aeration of the subsoil layer. This optimization contributes directly to the development of advanced, precision-engineered agricultural implements aimed at boosting sustainability and productivity in farming practices. Furthermore, the outcomes of this research provide pivotal insights into soil health management strategies, potentially influencing crop yield through improved root penetration and water absorption. These findings are expected to serve as a benchmark for future innovations in agricultural machinery design, aligning with global trends towards more sustainable agricultural practices and enhanced food security. This study sets a new standard for agricultural tool engineering, paving the way for transformative changes in the sector.

ИСТОКИ РАЗВИТИЯ АГРОИНЖЕНЕРНОЙ НАУКИ В РОССИИ

The paper is devoted to the study of new materials on the origins of the development of agroengineering science in Russia, stored in the collections of the Museum of Agricultural Mechanics named after V.P. Goryachkin RGAU - MSHA named after K.A. Timiryazev. (Research purpose) The research purpose is analyzing the development of agroengineering science in Russia in the initial periods of its formation. (Materials and methods) It was noted that the newly opened documents more fully cover the key role of V.P. Goryachkin in the creation of the Faculty of Agricultural Mechanics at the Agricultural Academy named after K.A. Timiryazev, in the construction of a machine testing station, in the formation of advanced training courses for teachers in the field of agricultural engineering. We studied the materials of the commission chaired by Professor V.P. Bushinsky, created to draw up projects and estimates for the construction of the Moscow Institute of Mechanization and Electrification of Agriculture in 1930 (now the Institute of Mechanics and Power Engineering named after V.P. Goryachkin as part of the RGAU - MSHA named after K.A. Timiryazev). Documents relating to the opening of the All-Union Institute of Agricultural Engineering in 1928 were put into scientific circulation, in particular, the transcript of V.P. Goryachkin's report at the meeting of the Institute of Agricultural Mechanics, renamed VISKHOM, on November 25, 1927. (Results and discussion) They showed various forms of pedagogical work that appeared as a result of the decree of the Council of People's Commissars of the RSFSR "On agricultural engineering" dated April 1, 2021. (Conclusions) By the beginning of the 1930s in the USSR, V.P. Goryachkin, an outstanding scientist and organizer of science and education, laid the foundations of domestic agricultural engineering; for the first time put forward scientific principles for the design, calculation and construction of agricultural machinery and tools; developed a test methodology; created a number of unique devices and apparatus.

Simulation of Plastic Deformation Failure of Tillage Tools Based on the Smoothed Particle Hydrodynamics Method

The problems of large deformations, failures, and fractures that agricultural tillage tools may encounter during the cultivation process has long been a concern in the field of agricultural machinery design and manufacturing. It is important to establish a more accurate numerical model to effectively predict tools’ plastic deformation failures and ductile fracture failures. This research develops a numerical model for predicting the plastic deformation failure and ductile fracture failure of agricultural tillage tools using the smoothed particle hydrodynamics (SPH) method and the Johnson–Cook constitutive model. The model uses the Drucker–Prager criterion to describe the elastic–plastic constitutive behavior of the soil, the von Mises criterion to describe the Johnson–Cook constitutive model of the tool, and the coupling condition with the Lennard-Jones repulsive force to describe the interaction between the tool and soil. The numerical results show that the proposed model can effectively simulate the interaction between the tool and soil, as well as the tool’s plastic deformation failure and ductile fracture failure during the agricultural cultivation process. It can also predict the variation trend of the cutting force of the tool. This helps to provide a new approach for the numerical simulation of such problems.

Engineering Properties of Onion Seeds for Sustainable Agricultural Machinery Design

The engineering properties of the crop are an important factor in effectively designing agricultural machines. In terms of onion seeding or planting, various physical, mechanical, and frictional properties play a crucial role in the development of planting machines and performance assessment. The study on the engineering properties of onion seeds and their implications for agricultural machinery design supports the adoption of sustainable agricultural practices. Efficient and precise planting systems can optimize resource utilization, reduce wastage, and enhance overall agricultural productivity. This focus on engineering aspects in machinery design indirectly contributes to sustainable agriculture practices, which prioritize minimizing environmental impacts while ensuring food security. Ultimately, by emphasizing the importance of engineering properties, the study promotes the development of agricultural systems that align with sustainability goals. In this study, various engineering properties of onion seeds concerning the different soaking times have been studied. An experiment was performed to assess the change in engineering properties of onion seeds (Gavran, Puna fursungi, and KSP-117) by soaking them in water with a predefined duration (Dry seed, Day 1 and Day 2). The average moisture content of onion seeds varied from 9.44 to 40.87 % (d.b.). Sphericity, aspect ratio, geometric mean diameter, and thousand seed weight varied in the range from 0.72 to 0.77, 0.71 to 0.76, 2.05 to 2.18 mm, and 3.50 to 6.75 g, respectively. The bulk density of onion seeds was observed in the range of 489.64 to 526.24 kg/m3. It was observed that there was a gradual increment in bulk density with an increase in soaking time. However, a gradually decreasing trend was observed in the case of true density. The true density of onion seeds varied from 1127.14 to 1245.64 kg/m3. The coefficient of friction of onion seeds on a selected material (Wood, Plastic, Mild steel, and Aluminum) showed gradual growth concerning the soaking time.

Design reuse method of corn picking device based on case-based reasoning

In order to shorten the design cycle of corn snapping mechanism, a case reuse design method of snapping devices based on user requirements was proposed. A matter-element model is used to build a case matter-element database and parametric model library together to form a case database; the case attributes are divided, the retrieval scope is narrowed through the matching of core parameters, and the similarity of matching parameters and performance evaluation parameters is calculated by using analytic hierarchy process and deviation maximization method to realize the retrieval of similar cases. The transformation relationship between the design requirements and the main driving parameters of the parametric model is established by using the rule association method to realize the case’s modification. The engineering discrete element method is used to simulate the reuse case, and an improved method is proposed according to the simulation results. The improved device is verified by simulation and field experiments. The results show that the operating performance of the improved snapping device is improved, and the feasibility and effectiveness of the design reuse method are verified, which can provide technical reference for the intelligent design of agricultural machinery and equipment.

Application of digital design technology in the design of intelligent agricultural machinery and equipment

Abstract Today, China has become the world’s largest agricultural machinery and equipment countries and the use of countries, agricultural machinery industry for more than a decade to maintain high growth, along with three revolutionary changes in agricultural technology, has initially ushered in the development of artificial intelligence stage. At present, relative to the weak foundation of China’s agricultural machinery standardization work and the requirements of high integration of technology and multidisciplinary integration of artificial intelligence, there are bottlenecks that constrain the problem. This paper makes a directional discussion on the direction of standardization breakthrough through the analysis of digital design technology and typical applications at home and abroad, the analysis of standard transformation of scientific and technological achievements, and the analysis of current problems. Aiming at technical standards development, implementation, and improvement to promote technological innovation, application, and improvement of intelligent manufacturing of agricultural machinery products. So that scientific and technological innovation continues to enhance the level of technical standards, technical standards continue to promote the transformation of scientific and technological achievements. Technical standards and intelligent agricultural machinery lend each other in international competition and become a strategic means to participate in international cooperation and competition. Accelerate the transformation of the old and new dynamics of the agricultural mechanization industry, and realize the standardization and internationalization of the intelligent agricultural mechanization industry.

Modeling Soil–Plant–Machine Dynamics Using Discrete Element Method: A Review

The study of soil–plant–machine interaction (SPMI) examines the system dynamics at the interface of soil, machine, and plant materials, primarily consisting of soil–machine, soil–plant, and plant–machine interactions. A thorough understanding of the mechanisms and behaviors of SPMI systems is of paramount importance to optimal design and operation of high-performance agricultural machinery. The discrete element method (DEM) is a promising numerical method that can simulate dynamic behaviors of particle systems at micro levels of individual particles and at macro levels of bulk material. This paper presents a comprehensive review of the fundamental studies and applications of DEM in SPMI systems, which is of general interest to machinery systems and computational methods communities. Important concepts of DEM including working principles, calibration methods, and implementation are introduced first to help readers gain a basic understanding of the emerging numerical method. The fundamental aspects of DEM modeling including the study of contact model and model parameters are surveyed. An extensive review of the applications of DEM in tillage, seeding, planting, fertilizing, and harvesting operations is presented. Relevant methodologies used and major findings of the literature review are synthesized to serve as references for similar research. The future scope of coupling DEM with other computational methods and virtual rapid prototyping and their applications in agriculture is narrated. Finally, challenges such as computational efficiency and uncertainty in modeling are highlighted. We conclude that DEM is an effective method for simulating soil and plant dynamics in SPMI systems related to the field of agriculture and food production. However, there are still some aspects that need to be examined in the future.

Review of Discrete Element Method Simulations of Soil Tillage and Furrow Opening

In agricultural machinery design and optimization, the discrete element method (DEM) has played a major role due to its ability to speed up the design and manufacturing process by reducing multiple prototyping, testing, and evaluation under experimental conditions. In the field of soil dynamics, DEM has been mainly applied in the design and optimization of soil-engaging tools, especially tillage tools and furrow openers. This numerical method is able to capture the dynamic and bulk behaviour of soils and soil–tool interactions. This review focused on the various aspects of the application of DEM in the simulation of tillage and furrow opening for tool design optimization. Different contact models, particle sizes and shapes, and calibration techniques for determining input parameters for tillage and furrow opening research have been reviewed. Discrete element method predictions of furrow profiles, disturbed soil surface profiles, soil failure, loosening, disturbance parameters, reaction forces, and the various types of soils modelled with DEM have also been highlighted. This pool of information consolidates existing working approaches used in prior studies and helps to identify knowledge gaps which, if addressed, will advance the current soil dynamics modelling capability.

MECHANIZATION OF AGRICULTURE IN THE SOUTHERN URALS: CONTRIBUTION OF E.M. KHARITONCHIK SCIENTIFIC SCHOOL

The process of formation and development of agroengineering scientific schools of the Southern Urals should be considered as part of the development process both in the country and in its various regions of its own agricultural engineering. (Research purpose) The research purpose is analyzing the directions of the scientific school of Yefim Mironovich Kharitonchik, and to identify its role in the development of the process of mechanization of agriculture in the region. (Materials and methods) Analyzed the work activity of E.M. Kharitonchik related to the production of agricultural machinery at factories in Moscow and the Moscow region. It was shown that the first scientific developments were works on the creation and improvement of instruments and testing machines, as well as designs of tractor units and systems. (Results and discussion) It was revealed that the following areas of the scientific school of Kharitonchik have gained great fame: modification of tractor engines; development of the theory of specific parameters of tractors; evaluation and optimization of parameters of tractors and their aggregates; study of vibrations of tractor engines; creation of hydrostatic drives of active trailers for heavy-duty road trains. (Conclusions) The information given in this article allows us to build a chronological chain of work of the scientific and engineering thought of the scientific school of the Southern Urals in the field of design and operation of agricultural machinery.

A Novel Agricultural Machinery Intelligent Design System Based on Integrating Image Processing and Knowledge Reasoning

Agricultural machinery intelligence is the inevitable direction of agricultural machinery design, and the systems in these designs are important tools. In this paper, to address the problem of low processing power of traditional agricultural machinery design systems in analyzing data, such as fit, tolerance, interchangeability, and the assembly process, as well as to overcome the disadvantages of the high cost of intelligent design modules, lack of data compatibility, and inconsistency between modules, a novel agricultural machinery intelligent design system integrating image processing and knowledge reasoning is constructed. An image-processing algorithm and trigger are used to detect the feature parameters of key parts of agricultural machinery and build a virtual prototype. At the same time, a special knowledge base of agricultural machinery is constructed to analyze the test data of the virtual prototype. The results of practical application and software evaluation of third-party institutions show that the system improves the efficiency of intelligent design in key parts of agricultural machinery by approximately 20%, reduces the operation error rate of personnel by approximately 40% and the consumption of computer resources by approximately 30%, and greatly reduces the purchase cost of intelligent design systems to provide a reference for intelligent design to guide actual production.

Study on the Dynamic Cutting Mechanism of Green Pepper (Zanthoxylum armatum) Branches under Optimal Tool Parameters

In order to design a branch-cutting type green pepper harvesting device, we firstly study the whole process of straight knife green pepper cutting to reveal the cutting mechanism and provide theoretical guidance to the design. A finite element model was established for the cutting of pepper branches across the distance, and single-factor and multi-factor finite element simulation tests were conducted on the knife feed angle, tool edge angle, and knife feed speed of the working parts of the pepper cutting and harvesting device. The results of the experiment were analyzed by ANOVA, which showed the different degrees of importance of these factors, and the optimal parameters were obtained by response surface methodology (RSM). With the optimal parameters selected, the predicted maximum cutting force and cutting completion were 803.35 N and 98.58%, respectively, this satisfies the efficiency and economy requirements of agricultural machinery design. In addition, the cutting force of green pepper branches was analyzed and a theoretical mechanical model was developed to help us understand the variation of cutting force numerically. The stress–strain system, high-speed photography system and numerical prediction were innovatively combined to observe and measure the stress and other key state variables in the cutting process in detail, summarize their changing trend, and establish a time-based monitoring and comparison model. The above research results can provide a reference for the design of green pepper branch cutting and harvesting devices, such as direct guidance on the selection of working parameters, materials, etc., and guidance on the operation in actual work.