MATEC Web Conf.
Volume 338, 202134th Scientific Conference: Problems of Working Machines Development (PRMR 2021)
|Number of page(s)||8|
|Published online||25 June 2021|
The parameterization of the demand for machinery as a Dimension-and-Quality function affecting industrial furniture production
Sun Garden Polska Spółka z Ograniczoną Odpowiedzialnością Spółka Komandytowa
2 Katedra Obrabiarek i Podstaw Konstrukcji Maszyn, Wydział Leśny i Technologii Drewna, Uniwersytet Przyrodniczy w Poznaniu
3 Katedra Meblarstwa, Wydział Leśny i Technologii Drewna, Uniwersytet Przyrodniczy w Poznaniu
* Corresponding author: email@example.com
Machine processing parameters, including the feed speed and the working speeds of tools, are determined by: the minimum demand for material in a specific branch of the furniture industry, the expected quality, as well as the form and type of wood processed. Due to the considerable diversity of physical and mechanical properties of raw wood there are high demands concerning process and machine individualisation in technology planning. Setting the right processing parameters is necessary to make high-quality semi-finished and finished products. In order to increase the precision of machining specialised tool and transport systems need to be used. At the same time, the increase in the required production efficiency is inversely correlated with the individual characteristics of the raw material and the desired indicators of the quality of products. A harmonised level of these parameters is the main assumption in the selection of machine tools and auxiliary devices. The analyses conducted in this study showed that there are numerous variables in methods of selecting machines and devices for raw wood processing. When selecting machining systems, enterprises should use a system of weights to indicate which elements (quality and dimensions or efficiency) are of primary importance for them.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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