Title: A fuzzy control method for optimal cutting temperature of pure iron

Authors: Haifei Long; Jing Sheng

Addresses: Faculty of Mechanical Engineering, Xiamen University of Technology, Xiamen, 361024, China ' Faculty of Mechanical Engineering, Xiamen University of Technology, Xiamen, 361024, China

Abstract: Pure iron material is greatly affected by temperature, which leads to poor control effect of cutting temperature of pure iron material. This paper studies the optimal cutting temperature control of pure iron material. The cutting speed of the pure iron material cutting tool is determined by obtaining the position of the cutting tool and the separation time of the cutting vibration. The influence factors of the cutting temperature are determined by obtaining the cutting heat and chip ratio of the pure iron material. The fuzzy control method is introduced to control the cutting temperature threshold of pure iron material as a membership function, and the temperature threshold of pure iron material is output to realise cutting temperature control. The results show that the average maximum value of the average control value of the cutting temperature is 98, and the minimum correction error of the temperature control value is 1%.

Keywords: fuzzy control; pure iron material; material cutting; optimal temperature control; balance control.

DOI: 10.1504/IJMPT.2021.117035

International Journal of Materials and Product Technology, 2021 Vol.63 No.1/2, pp.1 - 15

Received: 29 Sep 2020
Accepted: 05 Dec 2020
Published online: 12 Aug 2021 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article