MATEC Web Conf.
Volume 94, 2017The 4th International Conference on Computing and Solutions in Manufacturing Engineering 2016 – CoSME’16
|Number of page(s)||9|
|Published online||04 January 2017|
Application of the method based on technological knowledge and expertise for adding the design of a technological process
Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Faculty of Mechanical Engineering, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
* Corresponding author: email@example.com
The manufacturing process is an important step in creating new products. Market trends cause that this process must be very flexible to facilitate fast and cost-effective adaptation to changing market conditions. Commonly used CNC machine tools, grouped in flexible manufacturing systems, greatly facilitate the rapid adjustment of production to these dynamic changes. The programs for CNC machine tools could be easily generated using software of the CAM class. It is also easy to change or modify them. However, the technological process itself still must be planned and continuously optimized with respect to each, new produced detail. The paper presents a method, based on the engineering knowledge and experience, designated to assist the technological process preparation. The method, developed by authors, is based on the CBR method. It is the method of problems solving, basing on seeking an analogy (similarity) between the currently being solved task and the previously solved tasks. In the paper is presented the algorithm of this approach and the formalized description of the developed method.
© The Authors, published by EDP Sciences, 2017
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.