RATIONAL CHOICE OF MACHINING TOOLS USING PREDICTION PROCEDURES

Oleg Krol, Volodymyr Sokolov

Abstract


Introducing the methods and procedures for predictive analysis into the design process contours of a variety of machining tools (MT) of metal cutting machines is the main aim of this article. A sequence of realization of prediction object (PO) choice as an initial stage of search of perspective designs is offered. Effective in this regard is the "Tree of objectives" apparatus, on the basis of which many ways of improving MT are formed, selecting progressive (reducing the dimension of the problem) at each level of the hierarchy of the constructed graph-tree. The procedure for selecting the prediction method (PM) as a means of generating the forecast data is developed. The task of choosing a method is structured in detail and uses "Information supply"as the main criterion. To this end, assessment scales of choice criteria have been formed, on the basis of which it is possible to evaluate their effectiveness for the PM selection process. The rules forPOcoding are introduced by a three-element information code, including information source classes – static data, expert estimates and patent data. The process of forecasting the MT components by the method of engineering forecasting on the basis of a representative patent fund is realized. The General Definition Table has been built (GDT "Machining tools") and estimates of the prospects of design solutions have been obtained. A fragment of the database of 3D models of promising MT designs in the integrated computer-aided design KOMPAS-3D is proposed.


Keywords


machining tools; metal cutting machine; prediction procedure; choice of prediction method; patent search; 3D model

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References


Push, A. V. (1981). Prognozirovanie parametricheskoy nadezhnosti shpindelnyih uzlov s pomoschyu EVM [Prediction of parametric reliability of spindle nodes with the help of a computer]. Izvestiya vuzov, 10, 107–112.

Push, A. V. (1985). Prognozirovanie parametricheskoy nadezhnosti shpindelnyih uzlov s uchetom teplovyih protsessov [Prediction of parametric reliability of spindle nodes with allowance for thermal processes]. Izvestiya vuzov, 3, 142–146.

Push, A. V. (1985). Prognozirovanie teplovyih smescheniy shpindelnyih uzlov [Prediction of thermal displacements of spindle nodes]. Stanki i instrument, 5, 15–19.

Poduraev, V. N. (1993). Prognozirovanie stoykosti rezhuschego instrumenta [Prediction of the durability of the cutting tool]. Vestnik mashinostroeniya, 1, 30–36.

Pryalin, M. A. (1991). Prognozirovanie rezhimov rezaniya nemetallicheskih materialov metodom statisticheskoy otsenki [Prediction of cutting modes of nonmetallic materials by the method of statistical estimation]. Rezanie i instrument, 46, 124–125.

Attanasio, A., Ceretti, E., Giardini, C. (2013). Analytical Models for Tool Wear Prediction During AISI 1045 Turning Operations. Procedia CIRP, 8, 218–223. doi: https://doi.org/10.1016/j.procir.2013.06.092

Stenberg, N., Delić, A., Björk, T. (2017). Using the SPH Method to Easier Predict Wear in Machining. Procedia CIRP, 58, 317–322. doi: https://doi.org/10.1016/j.procir.2017.03.234

Usui, E., Shirakashi, T., Kitagawa, T. (1984). Analytical prediction of cutting tool wear. Wear, 100 (1-3), 129–151. doi: https://doi.org/10.1016/0043-1648(84)90010-3

Pestunov, V. M. (1994) Novyie shemyi obrabotki i struktura privoda stankov [New processing schemes and the structure of drive machines]. STIN, 2, 35–39.

Gao, V. (1993). Novaya sistema shpindelya dlya pretsezionnogo stanka [New spindle system for a precision machine]. Razvitie sovremennogo metalloobrabatyivayuschego oborudovaniya v Rossii i Kitae. Moscow: ENIMS, 135–139.

Gmoshinskiy, V. G. (1982). Inzhenernoe prognozirovanie [Engineering Forecasting]. Moscow: Energoizdat, 208.

Gmoshinskiy, V. G. (1988). Inzhenernoe prognozirovanie tehnologii stroitelstva [Engineering forecasting of construction technology]. Moscow: Stroyizdat, 295.

Bestuzhev-Lada, I. V. (1982). Rabochaya kniga po prognozirovaniyu [Working book on forecasting]. Moscow: Myisl, 430.

Krol, O. S., Sokolov, V. I. (2017). Metody i procedury inzhenernogo prognozirovaniуa v stankostroenii [Methods and procedures of engineering forecasting in machine tool building]. Lugansk: VNU, 116.

Zhuk, K. D., Krol, O. S., Timchenko, A. A. (1984). Prognosticheskiy analiz ob'ektov novoy tehniki i tehnologii v zadachah sistemnogo proektirovaniya [Predictive analysis of objects of new technology and technology in problems of system design]. Kyiv: Institut Kibernetiki AN USSR, 27.

Sarkisyan, S. A., Golovanov, L. V. (1975). Prognozirovanie razvitiya bolshih tehnicheskih sistem [Forecasting the development of large technical systems]. Moscow: Statistika, 192.

Krol, O. S., Sokolov, V. I. (2017). Metody i procedury racional'nogo vybora v stankostroenii [Methods and procedures of rational choice in machine tool construction]. Lugansk: VNU, 112.

Krol, O., Tsankov, P., Sokolov, V. (2018). Rational choice of two-support spindles for machining centers with lubrication system. EUREKA: Physics and engineering, 3, 52–58. doi: https://doi.org/10.21303/2461-4262.2018.00648

Kini, R. L., Rayfa, H. (1981). Prinyatie resheniy pri mnogih kriteriyah predpochteniya i zamescheniya [Decision-making under many preference and substitution criteria]. Moscow: Radio i svyaz, 560.

Krol, O., Zhuravlev, V. (2014). Modeling of spindle for turret of the specialized tool type SF16MF3. TEKA Commision of Motorization and Energetic in Agriculture, 13 (4), 141–147.

Krol, O. S., Krol, A. A., Burlakov, E. I. (2013). Tverdotelnoe modelirovanie i issledovanie shpindelnogo uzla obrabatyivayuschego tsentra [Solid modeling and investigation of the spindle node of the machining center]. Visnik Natsionalnogo tehnichnogo universitetu «KhPI», 16 (989), 14–18.

Sokolov, V., Krol, O. (2017). Installations Criterion of Deceleration Device in Volumetric Hydraulic Drive. Procedia Engineering, 206, 936–943. doi: https://doi.org/10.1016/j.proeng.2017.10.575




DOI: http://dx.doi.org/10.21303/2461-4262.2018.00667

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ISSN 2461-4262 (Online), ISSN 2461-4254 (Print)