Title :
A fuzzy system approach of feed rate determination for CNC milling
Author :
Miao, Zhibin ; Li, Wei
Author_Institution :
Dept. of Mech. & Electr. Eng., Heilongjiang Inst. of Technol., Harbin
Abstract :
Determination of optimal machining parameters - spindle rate, feed rate, and depth of cut - has been a research topic for decades. Since the parameters of CNC machining significantly influence part machining time, part surface quality, and tool life, techniques of determining optimal machining parameters are in high demand in manufacturing industry. Usually the depth of cut and spindle rate are determined according to machinist manuals before machining; and the feed rate is determined subjectively either by CNC machine operators or programmers. As a result, the feed rate is not optimal in terms of the machining condition at every cutter location, and it is fixed at a conservative value causing longer machining time or shorter tool life. In this work, a generic and intelligent approach of feed rate determination for CNC profile milling is proposed. First a simplified cutting force model is introduced and an example database of machining parameters is presented. Second a fuzzy rule-based system is established to predict the cutting force based on the radial and axial depths of cut, and the assumed feed rate. Then identify the geometric features of the part, calculate the engagement angles of the geometric features, and find optimal feed rates for them. Finally apply this approach on an example part for profile milling, and the results are simulated with CATIA CAD/CAM system to demonstrate the advantages of this approach.
Keywords :
computerised numerical control; fuzzy control; fuzzy reasoning; fuzzy set theory; fuzzy systems; intelligent control; knowledge based systems; milling; CNC milling; cutter location; feed rate determination; fuzzy rule-based system; generic approach; intelligent approach; manufacturing industry; optimal machining parameter; part surface quality; simplified cutting force model; spindle rate; tool life; Computer numerical control; Feeds; Fuzzy systems; Knowledge based systems; Machine intelligence; Machining; Manufacturing industries; Milling; Programming profession; Spatial databases; CNC Milling; Fuzzy Logical System; Intelligent Machining; Machining Parameters Determination;
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
DOI :
10.1109/ICIEA.2009.5138535