NDLI: Research on cutting force predictive model of Austempered Ductile Iron based on Particle Swarm Optimization algorithm

Content Provider	IEEE Xplore Digital Library
Author	Chihong Wang Xuhong Guo Wang Wei Sheng Kou
Copyright Year	2010
Description	Author affiliation: School of Mechanical & Electrical Engineering of Soochow University, Suzhou, Jiangsu, China (Chihong Wang; Xuhong Guo; Wang Wei; Sheng Kou)
Abstract	Compared with traditional linear regression algorithm, the Particle Swarm Optimization (PSO) has excellent performance: high precision, rapid convergence, operation and realization easily. This paper introduces the basic principle of PSO, and build the cutting force model of Austempered Ductile Iron with PSO. Results shows that: the mathematical model with PSO had higher predictive precision and stability than the linear regression algorithm and other optimization. PSO is practical in solving complicated prediction model and can avoid constraint of solution effectively. PSO can also be widely used in many aspects such as tool wear, heat in metal cutting with further improving.
Starting Page	6070
Ending Page	6073
File Size	401682
Page Count	4
File Format	PDF
ISBN	9781424477371
e-ISBN	9781424477395
DOI	10.1109/MACE.2010.5536682
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Force measurement Stability Linear regression Data acquisition Austempered Ductile Iron(ADI) Predictive models Iron Electronic mail Particle swarm optimization Convergence Particle Swarm Optimization Algorithm(PSO) Mathematical model Cutting force
Content Type	Text
Resource Type	Article

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