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EN
The results of estimation of home scrap addition in charge influence on durability and wear of casting instrumentation life in the high-pressure casting technology using the hot chamber machine of alloy of AZ91 are presented. The wear of the following elements of the casting instrumentation so-called "casting set" as: syphon, plunger, sliding-rings, nozzle and injection moulding nozzle was estimated. A wear was estimated quantitative by registering the number of mould injections for different charges to the moment of element damage supervision. A damage had to be at such level that liquidated an element from further exploitation and necessary was an exchange on new or regeneration. In a final result allowed it the detailed determination of durability of the applied rigging elements in dependence on the type of the applied type of melt. It is noticed, that together with the increase of home-scrap participation in the charge wear of pressure machine instrumentation elements increases.
EN
This article discusses the issue of the preparation of the foundry moulds with the use of an industrial robot. The methodology is presented for the determination of the process capacity index for placing inserts with flat and cylindrical faces. On the basis of the relationships developed, the process capability indices were determined at various points in the workspace, which are characterised by different values of the repeatability positioning error. It was shown that the value of the process capacity index can be increased by the selection of a suitable location for the process of placing the inserts in the workspace. It should also be noted that the value of the process's capability index depends on the selection of the place in the robot workspace where the process is carried out. Implementation of the joining process at an analysed point in the robot workspace leads to an increase of the process capability index MCp for inserts with flat faces up to 1.1 (+4.5%) and for inserts with cylindrical faces up to 1.3. This results in an increase of 13% to a level corresponding to the global standard for process reliability (MCp = 1.33).
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