بهینه سازی از FMS هوشمند با استفاده از روش ماتریس جریان داده ها
|کد مقاله||سال انتشار||تعداد صفحات مقاله انگلیسی||ترجمه فارسی|
|15322||2003||8 صفحه PDF||سفارش دهید|
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Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Journal of Materials Processing Technology, Volume 133, Issues 1–2, 1 February 2003, Pages 13–20
Abstract This paper deals with the development of a data flow matrix method for the monitoring and control of flexible manufacturing systems (FMS) taking into account the intelligent behaviour and disturbances within the system. The methods and concepts for solving the problems are described. Especially, the “data flow matrix” and computer-aided methods for the designing of an FMS control system are introduced.
In the industrial states nowadays production trends are oriented to the: • functional characteristics of the products; • quality and reliability of the products; • variety of the products; • customer oriented products; • competitive production with optimal production cost. In all mentioned orientations the growth of quality is present. The result is production on better machine-tools. With the growth of machining accuracy the costs of machine-tools are greater . The production machine must be turned to the maximal advantage in its life cycle. If we limit ourselves to machining time reduction, we have the following choices: • Reduction of the main machining time: this reduction is limited with technological properties of machining procedure, physical properties of the raw materials and cutting tools . • Reduction of the auxiliary times with higher degree of the automation. • Reduction of the preparatory-finishing time is the area of great interest, specially in the last few years when new methods for production data acquisition in real time are possible.
نتیجه گیری انگلیسی
One of the desired targets of the work was the design of the system for the control and optimisation of an FMS. The presented concept of FMS control with application on an information flow matrix is an original solution and presents an important contribution to the mentioned subjects. With the developed system it is possible to automatically control and optimise the operation of the FMS. Manual intervention by an expert is necessary in case of unpredictable events, which may occur or not, during the operation of the system. The developed model of FMS control was practically tested on a simulator and a real laboratory FMS.