Fuzzy logic-based prediction data for the CNC lathe

• Autorzy: Kunhirunbawon S. , Suwichien N. , Jantarasricha T. , Jantarasricha T. , Butdee S.

Identyfikatory

DOI

10.5604/01.3001.0054.6752

• Języki publikacji: EN

Abstrakty

EN

Purpose: The research aims to predict the parameters between the cutting speed range correlated to the depth of cut for the CNC lathe. Design/methodology/approach: The model predicts the cutting speed parameters carried out based on the data range between the depth of the cut and the cutting speed. That information has been derived from the machine tool handbook and expert engineer recommendations. The fuzzy logic-based methods were used to predict cutting speed parameters for three different materials: aluminium, machine steel, and stainless steel. The data range in each material was used to condition the membership function. Findings: The result shows that the prediction cutting speed parameters are related to the range of the depth of the cut between 0.15 and 0.4 mm. It is observed that if the depth of the cut is very high, the cutting speed is lower. The information obtained is slightly different from the machine tool handbook. It can be used with the feed rate parameters to perform the machining process of the CNC lathes in the smart factory. Research limitations/implications: Further research should focus on predicting surface roughness and tool wear in the turning. Practical implications: The cutting speed selection has a significant impact on manufacturing. It affects production time, tool wear, cost, etc. Generally, the parameter has been derived from machining handbooks or machine tools textbooks, and some data is vague because it has only maximum and minimum. The data between ranges is unclear for operation. Executing production planning for new engineers was hard, which can affect manufacturing systems. Therefore, proper and precise cutting parameters are required. Originality/value: General machine tool manuals often provide vague information on recommended parameters and only show the maximum and minimum values. In past research, it has only a determined parameters range for the experiment. The data between ranges is unclear for operation. In this research, the parameter prediction was performed between the cutting speed range related to the cutting depth, which is for use in the CNC lathe process.

Słowa kluczowe

EN

fuzzy logic; CNC lathe; prediction data; smart factory

PL

logika rozmyta; tokarka CNC; dane predykcyjne; inteligentna fabryka

• Wydawca: International OCSCO World Press
• Czasopismo: Archives of Materials Science and Engineering
• Rocznik: 2024
• Tom: Vol. 126, nr 2
• Strony: 58--64
• Opis fizyczny: Bibliogr. 22 poz.

Twórcy

autor

Kunhirunbawon S.

• Department of Production Engineering Technology, Faculty of Industrial Technology, Pibulsongkram Rajabhat University, Phitsanulok, Thailand

• https://orcid.org/0000-0003-2472-6597

autor

Suwichien N.

• Department of Production Engineering Technology, Faculty of Industrial Technology, Pibulsongkram Rajabhat University, Phitsanulok, Thailand

autor

Jantarasricha T.

• Department of Production Engineering Technology, Faculty of Industrial Technology, Pibulsongkram Rajabhat University, Phitsanulok, Thailand

autor

Jantarasricha T.

• Department of Production Engineering Technology, Faculty of Industrial Technology, Pibulsongkram Rajabhat University, Phitsanulok, Thailand

autor

Butdee S.

• Research and Development Institute, Rajamangala University of Technology Krungthep, Bangkok, Thailand

Bibliografia

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