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Abstract

Considering the increasing prospective regarding the various applications of Poly Ether Ether Ketone reinforced with 30% carbon fibres (PEEK CF30), there is a crucial need to investigate its machinability. In this work, focus is centered on non-linear regression based models that can be built to predict roug hness parameters R a and R t associated to turning of PEEK CF30 when using TiN coated cutting tool. Attention was paid to one-variant models that can be proposed to represent the effect of the cutting speed on the surface finish parameters. A broad class of non-linear interpolation models was considered. Their aptness to be used in modelling this particular application was assessed. The identification of the various mathematical models was performed by using experimental results that were obtained from CNC turning of PEEK samples. Based on statistical analysis, all the considered non-linear regression models proved to be highly significant and succeeded to fit adequately the experimental results.

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Pollack Periodica
Authors: Georgina Tóth, Ágota Drégelyi-Kiss, and Béla Palásti-Kovács

The micro-geometrical properties of cutting surfaces can be quite different. The various surface-finishing processes remarkable differ from each other regarding the movements and the used tools. There are some further influential parameters, including the edge formation and the edge geometry of tools, the sharpness and the wear (cutting time) of the edge-part machined the surface.In the present work comparing examinations were performed on surfaces made with various machining processes. The integrity of differing surface micro-geometries was analyzed with the measurements of surface parameters, as well as with the calculation and discussion of statistical features of the results.Results show that the parameters measured on the same surface may differ significantly depending on surface machining and the state of the tools.

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Abstract

The research on automated stone machining processes was very significant in the last two decades. Sawing, cutting and grinding of different stones like granite, marble, limestone became cheaper and more productive because of the results of researches. When searching through international specialised literature in the topic of stone machining with machine centres, theoretical summaries or researches can hardly be found. The aim of the researchers writing this article is — as a pioneer in Hungary, but also among the first internationally — to examine the optimization and technological problems in the area of stone milling processes. The researchers have developed a complex research system with the collaboration of two departments of University of Technology and Economics and an industrial stone machining firm, Woldem Ltd. to solve the problems. This paper summarizes the parts of this system. General steps and results of research processes are demonstrated by reference experiments. Face milling operations were made on a granite block with five different cutting speeds and then the researchers measured slip safety and average surface roughness values in case of different samples. Finally, upcoming tasks of the research team are summarized.

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1 Introduction Most of the natural occurrences, behavior of dynamic systems and operational machine processes do not follow a linear trend but are in character nonlinear. Due to the difficulties created in the design and studies of engineering

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. Robinson , V. B. & Strahler , A. H. 1984 . Issues in designing geographic information systems under conditions of inexactness . Machine Processing of Remotely Sense Data , pp. 179 – 188

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with specialized single-use machines. One factory was specialized in one kind of products such as nuts. The strength of RIKEN was that it could dissolve a complex machining process into simple processes by analyzing functions of machining processes and

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concentrate mainly on established citation indices such as ISI Web of Science or Scopus. These databases were originally not conceived to allow for a direct machine processing and, therefore, information scientists treat them manually or semi-manually. This

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intelligence analysis for the improvement of machining processes: a review ,” in Design of Experiments in Production Engineering , Cham : Springer , pp. 89 – 107 , 2016 . 10.1007/978-3-319-23838-8_3 [25] R. H. Myers , D. C. Montgomery , and C. M

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