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Parameter optimization of the program trajectory of the cellular concrete autoclaving control system

机译:蜂窝混凝土自动灭菌控制系统的程序轨迹参数优化

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Manufacturing of cellular-concrete products that are widely used in modern construction involves high energy consumption attributable mostly to the process of autoclaving. Insufficient elaboration of issues of mathematical description of autoclaving that would be usable in engineering practice and, consequently, the lack of adequate computational models aimed for practicing technologists, make it necessary to use heuristic approaches to parameter determination for the program trajectories of autoclave automatic control systems (ACS) in manufacturing. Therefore, design and development of autoclaving computational models aimed at parameter optimization of the program trajectory is a very relevant issue. The authors have developed mathematical models of cellular concrete autoclave curing and computational algorithms enabling determination of energy consumption under the variation in dynamic parameters of the automatic system's driver unit. Using the methods of conducting computational experiments under the discrete parameter change of the program trajectory, under the conditions of limitation on the temperature derivative of semi-finished concrete and autoclaving process duration, we have established that completion of the known program trajectory as a polygonal line with two variable slope sections of the third section forming unit with a variable slope, enables reduction of energy consumption up to 8%. The research conducted is specifically focused on the use of the obtained results for optimization of cellular concrete autoclaving ACSs.
机译:在现代建筑中广泛应用的蜂窝混凝土产品的制造涉及高能耗,主要是对高压灭菌过程的影响。不充分地制定了对高压灭菌的数学描述问题,这些问题将在工程实践中使用,因此缺乏旨在练习技术人员的适当计算模型,使得有必要对高压灭菌自动控制系统的程序轨迹使用启发式方法来参数确定(ACS)制造业。因此,设计和开发针对程序轨迹参数优化的自动灭菌计算模型是一个非常相关的问题。作者开发了蜂窝混凝土高压灭菌和计算算法的数学模型,从而能够在自动系统驱动器单元的动态参数的变化下确定能量消耗。利用在程序轨迹的离散参数变化下进行计算实验的方法,在半成品混凝土和高压灭菌过程持续时间的温度衍生的限制条件下,我们已经建立了已知的程序轨迹作为多边形线使用具有可变斜率的第三部分成型单元的两个可变斜率部分,可以降低能耗高达8%。进行的研究专门专注于使用所得结果以优化细胞混凝土高压灭菌ACSS。

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