Research of weight and linear wear from resource indicators of cultivator paws hardened by combined method

The article presents the results of theoretical and experimental studies of weight and linear wear from resource indicators of cultivator paws hardened by the combined method. It is established that in order to achieve an increased resource of cultivator legs, world manufacturers use special alloying materials, design features and technological methods of hardening, namely heat treatment, application of wear-resistant materials. The most commonly used methods for strengthening the working surfaces of parts are conventional hardening of medium-carbon, high-carbon and alloy steels. The hardness of the metal can be obtained in the range of 45 HRC for steel 45 and up to 65 HRC for steel 65G and alloy steels. To determine the change in the geometric parameters of the blades of cultivator legs during production tests recorded linear wear, weight wear and the radius of rounding of the cutting edge of the working bodies with an operating time of 8, 23, 42 and 54 ha. According to the results of linear wear of the wings of experimental cultivator paws during production tests, the materials that provide the best performance against abrasive wear were determined. As a result of the analysis of cultivator paws with a yield of 54 ha, it was found that the working bodies do not have visible damage and extreme wear and are suitable for further use. At the same time, measurements showed that the amount of wear on the width of the blade is 5.3–11.9 mm.

[1]  P. Doubek,et al.  ABRASIVE AND EROSIVE WEAR OF TECHNICAL MATERIALS , 2011 .

[2]  S. Valizadeh,et al.  Aerodynamic Properties of Makhobeli, Triticale and Wheat Seeds , 2014 .

[3]  Hesham K. Alfares,et al.  Assigning cardinal weights in multi‐criteria decision making based on ordinal ranking , 2008 .

[4]  I. Rogovskii,et al.  ENGINEERING MANAGEMENT OF TILLAGE EQUIPMENT WITH CONCAVE DISK SPRING SHANKS , 2020 .

[5]  Marinela Gheres Mathematical model for studying the influence of tillage tool geometry on energy consumption. , 2014 .

[6]  Aarnout Brombacher The Impact of New Technology on the Reliability of Future Systems: Some Food for Thought , 2006, Qual. Reliab. Eng. Int..

[7]  A. Grajcar,et al.  Effect of Deformation Temperature on the Portevin-Le Chatelier Effect in Medium-Mn Steel , 2018, Metals.

[9]  Xu Wang,et al.  Production Effectiveness-based System Reliability Calculation of Serial Manufacturing with Checking Machine , 2016 .

[10]  M M Korobko,et al.  Research of Daubechies Wavelet spectrum of vibroacoustic signals for diagnostic of diesel engines of combine harvesters , 2020 .

[11]  S. Ivanovs,et al.  PROPER UTILIZATION OF SOIL STRUCTURE FOR CROPS TODAY AND CONSERVATION FOR FUTURE GENERATIONS , 2012 .

[12]  Dionysis Bochtis,et al.  Advances in agricultural machinery management: A review , 2014 .

[13]  S. Voinash,et al.  Extraction of grains from ears of grain crops by grinding when opposite moving the conveyor and deck , 2020, IOP Conference Series: Earth and Environmental Science.

[14]  A. David,et al.  The determination of the resistant forces for deep loosening of soil machines with active organs , 2014 .

[15]  Andrey V. Sukhanov,et al.  Intelligent Control Systems for Dynamic Mixing Processes in Seed Processing Machines with Highly Elastic Working Bodie , 2020 .

[16]  I. L. Rogovskii,et al.  Engineering management of two-phase coulter systems of seeding machines for implementing precision farming technologies. , 2019 .

[17]  Ajit K. Srivastava,et al.  Engineering Principles of Agricultural Machines , 1993 .

[18]  Lotfie A. Yousif,et al.  Crop-machinery management system for field operations and farm machinery selection. , 2013 .

[19]  G. Dixit,et al.  An experimental investigation of cultivator shank shape on draft requirement , 2010 .

[20]  E. U. Choo,et al.  Comparing Fundamentals of Additive and Multiplicative Aggregation in Ratio Scale Multi-Criteria Decision Making , 2008 .

[21]  P. Maruschak,et al.  Modification of Mechanical Properties of High-Strength Titanium Alloys VT23 and VT23M Due to Impact-Oscillatory Loading , 2019, Metals.

[22]  S. A. Voynash,et al.  Rational Route Choosing Methodology for Machine Parts Restoration and Repair , 2017 .

[23]  M. Raggi,et al.  Innovation in European food SMEs: determinants and links between types , 2015 .

[24]  Ivan Rogovskii,et al.  Research of vibroacoustic diagnostics of fuel system of engines of combine harvesters , 2019, Engineering for Rural Development.

[25]  E. Dudrová FRACTOGRAPHY OF SINTERED IRON AND STEELS , 2008 .

[26]  Francesco Marinello,et al.  Last generation instrument for agriculture multispectral data collection , 2017 .

[27]  Symmetric Plate Resonators for Viscosity and Density Measurement , 2014 .

[28]  Filippo Domma,et al.  A new class of distribution functions for lifetime data , 2014, Reliab. Eng. Syst. Saf..

[29]  P V Repp The system of technical diagnostics of the industrial safety information network , 2017 .

[30]  Ad Straub,et al.  Performance‐based maintenance partnering: a promising concept , 2007 .

[31]  V. Aulin,et al.  Development of a System for Determining the Informativeness of the Diagnosing Parameters for a Cylinderpiston Group in the Diesel Engine during Operation , 2020, Eastern-European Journal of Enterprise Technologies.

[32]  H. Zoch,et al.  Experimental Analysis of Residual Stresses in Pre-Straightened SAE 1045 Steel , 2017 .

[33]  Yi-Kuei Lin,et al.  Evaluate the system reliability for a manufacturing network with reworking actions , 2012, Reliab. Eng. Syst. Saf..

[34]  E. Razzaghi,et al.  Vibratory soil cutting a new approach for the mathematical analysis , 2016 .

[35]  Darya V. Uvakina,et al.  Development of an unmanned tractor chassis for precision farming , 2020 .

[36]  Rudan Luo,et al.  International Journal on Recent and Innovation Trends in Computing and Communication , 2017 .