Abstract
The research identifies the optimality criterion of the technological process of the coextrusion molding of polymer-concrete building structures in the form of volumetric capacity as the correlation between forms quantity and technological cycle time. The set of parameters value constraints is made. The set consists of kinematic constraints, extruder’s maximum power constrain, maximum motor torque constraint for the extruder trouble-free operation, constraint on the stress rate of the shift between layers, constraint on product cooling time, and minimum melt viscosity constraint. As a result, the task of coextrusion molding process improvement reduces to the task of linear programming. With the help of mathematical modelling the dynamics of cooling process of the preform in the mould is studied. The paper scrutinizes the influence of bulging pressure on the plybond strength in the multilayer polymer system in the manufacturing process of different capacity items.
Highlights
The technology of the coextrusion processing of primary and second polymer materials and concrete mixes is quite a complex process
A mathematical model of coextrusion molding process is necessary for making coextrusion machines on the basis of this technology and identifying optimum process-dependent parameters of their functioning
A modern specialist, working a machinery complex which performs the coextrusion processing of polymer and concrete mixes, has to master the methodology and algorithms of doing these optimization tasks of choosing the optimum process condition. This becomes especially topical while operating expensive programmatically controlled plant [4,5], but setting the optimum process condition is implemented on the basis of knowing the physics process of coextrusion of polymers and concrete mixes, task mathematical modelling, application of computational algorithms search for the solution
Summary
The technology of the coextrusion processing of primary and second polymer materials and concrete mixes is quite a complex process. A modern specialist, working a machinery complex which performs the coextrusion processing of polymer and concrete mixes, has to master the methodology and algorithms of doing these optimization tasks of choosing the optimum process condition. This becomes especially topical while operating expensive programmatically controlled plant [4,5], but setting the optimum process condition is implemented on the basis of knowing the physics process of coextrusion of polymers and concrete mixes, task mathematical modelling, application of computational algorithms search for the solution. While planning the technological process of manufacturing the product, these tasks acquire particular forms connected with the choosing of process-dependent parameters for a definite machine, materials, and a product being manufactured
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