Method of Generalized Evaluation in the Selecting Factors and Levels of Variation in the Multifactorial Study of Sowing Machines

The results of studying complex objects can be presented as a problem with several outputs, and this will require a separate mathematical model for each result. If we use a generalized optimization criterion (super criterion), for example, in the form of the Harrington desirability function, one model will suffice. The authors have drawn an example of applying this methodology to determine the factors influencing the seeding process performed with an experimental seeder.(Research purpose) To show general recommendations for improving the process of planning and organization of scientific experiments in the field of agricultural engineering.(Materials and methods) The authors were guided by the idea of converting the natural values of particular criteria (or characteristics) into a dimensionless scale of desirability with subsequent assessment of the level of preference of a set of factors and their levels of variation in a multifactorial experiment. The object of research was represented by a sowing unit used for combined seeding of two crops. (Results and discussion) The study has established the following levels of desirability of natural output values (combinations of the variation levels of experimental factors): "very good", "good", "satisfactory", "bad", and "very bad". The rate of influence of these factors on corn seed sowing with an experimental seeder was obtained by applying a priori ranking technique. An acceptable set of values (a combination of optimal and maximum values) from the range of factors variation was revealed, which provides for more qualitative choice of the main factors influencing the optimization parameter. The authors have demonstrated the operation of the patented software to calculate data according to the Box-Behnken plan, which allows to obtain sufficient information about the response surface of the process in the experiment center selected as the expected optimum. (Conclusions) The paper presents the way of preparing for an experiment and subsequent processing of the results of complex studies using the super criterion. The necessity for digitalizing the process of planning and organization of scientific experiments has been emphasized.

1. Zubrilina E., Vysochkina L., Danilov M., Maliyev V. Design modification of seed distributor of pneumatic seeder for corn sowing. Engineering for Rural Development. 2017. Vol. 16. 772-778 (In English).

2. Zubrilina E.M., Chikil'din V.N. Eksperimental'nye issledovaniya vysevayushchego apparata s semyaprovodom-uskoritelem [Experimental studies of a seeding unit with a seed tube-accelerator]. Dostizheniya nauki i tekhniki APK. 2011. N2. 66-70 (In Russian).

3. Labsker L.G. K voprosu o matematicheskoy formalizatsii vybora koeffitsiyentov obobshchennogo kriteriya [On mathematical formalization of choosing the coefficients of the generalized Hurwitz criterion]. Upravleniye riskom. 2009. N3(51). 4-62 (In Russian).

4. Labsker L.G. Obobshchennyy kriteriy pessimizma-optimizma Gurvitsa [The generalized Hurwitz criterion of pessimism-optimism]. Finansovaya matematika: kollektivnaya monografiya. Moscow: MGU im. M.V. Lomonosova. 2001. 401-414 (In Russian).

5. Bednova O.V. Ispol'zovanie funktsii zhelatel'nosti Kharingtona dlya optimizatsii mnogokriterial'noy otsenki sostoyaniya lesnykh ekosistem v usloviyakh urbanizirovannoy territorii [The use of the Harington desirability function to optimize a multi-criteria assessment of the forest ecosystem state in urbanized areas]. Vestnik Moskovskogo gosudarstvennogo universiteta lesa – Lesnoy vestnik. 2011. N7. 35-40 (In Russian).

6. Shchirov V.N., Parkhomenko G.G. Opredeleniye obobshchennogo kriteriya otsenki tekhnologicheskogo protsessa melkoy obrabotki pochvy [Definition of a generalized criterion for assessing the technological process of surface tillage]. Innovatsii v sel'skom khozyaystve. 2015. N2(12). 169-174 (In Russian).

7. Koshurnikov A.F. Punktirnyy posev propashnykh kul'tur i formirovaniye gustoty nasazhdeniy [Dotted sowing of row crops and planting formation: monograph]. Perm': IPTS “Prokrost”. 2015. 218 (In Russian).

8. Markvo I.A., Zubrilina E.M., Novikov V.I. Analiz tendentsiy razvitiya i neobkhodimykh napravleniy modernizatsii v sfere proizvodstva seyalok tochnogo vyseva s pnevmosemyaprovodami [Analysis of development trends and the necessary modernization areas in the field of production of precision seeding drills with pneumatic diaphragms]. Vestnik APK Stavropol'ya. 2018. N4(34). 18-25 (In Russian).

9. Loshchakov P.A. Planirovanie i realizatsiya mnogofaktornogo eksperimenta – put' k povysheniyu effektivnosti issledovaniy [Planning and implementation of a multifactor experiment - a way of improving research efficiency]. Avtomobil'naya promyshlennost'. 2015. N10. 32-35 (In Russian).

10. Palamarchuk I.P., Polevoda Yu.A. Doslidzhennya osnovnikh faktoriv, shcho viznachayut' protses vibrovidtsentrovogo rozdilennya sirogo glitserinu [Рlanning of multivariable experiment for studying the vibrocentrifugal separation of crude glycerin]. Pratsí Tavríys'kogo derzhavnogo agrotekhnologíchnogo uníversitetu. 2012. Vol. 12. N4. 26-33 (In Ukranian).

11. Nesmiyan A.Yu., Tsench Yu.S. Tendentsii i perspektivy razvitiya otechestvennoy tekhniki dlya poseva zernovyh kul'tur [Trends and prospects of development of domestic equipment for sowing grain crops]. Sel'skohozyaystvennye mashiny i tekhnologii. 2018. T. 12. N3. 45-52 (In Russian).

12. Ahalaya B.H., Tsench Yu.S., Kvas S.A. Tekhnologiya kombinirovannogo sposoba poseva i vysevayushchie apparaty dlya ego osushchestvleniya [Technology of the combined method of sowing and sowing machines for its implementation]. Vestnik VIESH. 2018. N4(33). 61-65 (In Russian).

13. Mudarisov S.G., Gabitov I.I., Lobachevskiy Ya.P., Mazi­tov N.K., Rakhimov R.S., Khamaletdinov R.R., Rakhimov I.R., Farkhutdinov I.M., Mukhametdinov A.M., Gareev R.T. Modeling the technological process of tillage. Soil and Tillage Research. 2019 Vol. 190. 70-77 (In English).