The parameters of the injection moulding process have a significant influence on the properties of the moulded parts. Selection of appropriate injection conditions (e. g. the injection temperature, mould temperature, injection and holding pressure, injection speed) contributes to the productivity and energy consumption of the injection moulding process as well as to the quality of the moulded parts. The aim of this study was to evaluate the influence of injection moulding parameters on properties of poly(ethylene) mouldings. Regranulate obtained from recycled film, which is a mixture of low-density poly(ethylene) and linear low-density poly(ethylene), was used for testing. Samples in the form of standardised tensile bars of type A1 were produced by injection moulding. A Krauss-Maffei KM65-160C4 injection moulding machine was used for this purpose. Variable parameters of the this process used in the study were: injection speed, mould temperature and holding pressure. The results of tensile strength tests of the obtained samples are presented. The weight and dimensions of mouldings from four different regranulates were also investigated. The effect of injection moulding conditions on the properties of poly(ethylene) mouldings was shown in the investigations. The mass of poly(ethylene) mouldings is dependent on the holding pressure.

The paper presents a detailed description of one of the newest methods of vacuum saturation of reinforcing preforms in gypsum molds. As an appropriate selection of the infiltration time is a crucial problem during realization of this process, aim of the analysis shown in the paper is to present methods of selection of subatmospheric pressure application time, a sequence of lowering and increasing pressure, as well as examining influence of structure of reinforcing preforms on efficiency of this process. To realize the aim, studies on infiltration of reinforcing preforms made of a corundum sinter of various granulation of sintered particles with a model alloy were conducted. The infiltration process analysis was carried out in two stages. The first stage consisted in investigation of influence of lengthening of sucking off air from the reinforcing preforms on efficiency of this process. In the second stage, an analysis of influence of a two-staged infiltration process on saturation of the studied materials was conducted. Because the studied preforms were of similar porosity, the obtained differences of the saturation level of particular preforms have shown, that the saturation process is influenced mostly by size of pores present in the reinforcement. Because of these differences, each reinforcement type requires individual selection of time and sequence of the saturation process. For reinforcements of higher pore diameter, it is sufficient to simply increase air sucking off time to improve the saturation, while for reinforcement of smaller pore diameter, it is a better solution to apply the two-staged process of sucking off air. Application of the proposed analysis method allows not only obtaining composite castings of higher quality, but also economical optimization of the whole process.

This research presents an experimental study carried out for the modeling and optimization of some technological parameters for the machining of metallic materials. Certain controllable factors were analyzed such as cutting speed, depth of cut, and feed per tooth. A dedicated research methodology was used to obtain a model which subsequently led to a process optimization by performing a required number of experiments utilizing the Minitab software application. The methodology was followed, and the optimal value of the surface roughness was obtained by the milling process for an aluminum alloy type 7136-T76511. A SECO cutting tool was used, which is standard in aluminum machining by milling. Experiments led to defining a cutting regime that was optimal and which shows that the cutting speed has a significant influence on the quality of the machined surface and the depth of cut and feed per tooth has a relatively small impact on the chosen ranges of process parameters.