On-Line Fuzzy Monitoring of Micro-Hole Drilling Based on Genetic Algorithm

2012 ◽  
Vol 184-185 ◽  
pp. 1588-1591
Author(s):  
Hui Meng Zheng ◽  
Jian Qing Chen ◽  
Shou Xin Zhu
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Control ◽  
Production Costs ◽  
Hole Drilling ◽  
Drill Bit ◽  
Bit Wear ◽  
Micro Hole ◽  
On Line ◽  
Drilling System ◽  
Spindle Current

In automated micro-hole drilling system, in order to improve the drilling performance and reduce of production costs by maximizing the use of drill life and preventing drill failures, the drill bit wear state monitoring is more important. However, drill bit wear is difficult to measure in drilling process. By observation, wear failure of the drill bit could cause related changes of the spindle current signal, so construct fuzzy control mathematical models with the relationship between drill bit wear and spindle current, genetic algorithm and fuzzy control theory are applied to micro-drilling system in this paper .The membership functions of fuzzy control model are optimized by genetic algorithms. Through calculation, we can get drill bit wear value which used as monitoring threshold value in micro-hole drilling on-line monitoring system to avoid the drill breakage and improve the monitoring reliability.

Study on the Fuzzy Control System of Micro-Hole Drilling

2012 ◽  
Vol 580 ◽  
pp. 126-129 ◽  
Author(s):  
Hui Meng Zheng ◽  
Dong Hui Wang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Hole Drilling ◽  
Monitoring Systems ◽  
Work Piece ◽  
Drill Bit ◽  
Control Technology ◽  
Micro Hole ◽  
On Line

To improve the accuracy and reliability of control system ,we construct a set of micro-hole drilling on-line monitoring systems based on fuzzy control technology. The axial force and torque collected from experiment are inputted to fuzzy controller get the real-time wear state of drill bit. Then compare the wear value with monitoring threshold, if the amount is bigger than the threshold, the system will alarm and retract the cutter, so the drill can avoid be broken and work piece be saved.

Online Monitoring System for Micro-Hole Drilling Based on Rough Set Fuzzy Control

2011 ◽  
Vol 464 ◽  
pp. 15-19 ◽  
Author(s):  
He Wang ◽  
Xue Li ◽  
Qi Ming Ju
Keyword(s):  
Fuzzy Control ◽  
Real Time ◽  
Rough Sets ◽  
Online Monitoring ◽  
Hole Drilling ◽  
Drill Bit ◽  
Time Data ◽  
Monitoring Method ◽  
Micro Hole ◽  
Micro Drill

An online monitoring method for micro-hole drilling based on rough sets fuzzy control is developed in this article to improve system on too many control rule numbers with strong subjectivity and complicated calculations. Utilize rough sets for reduction of fuzzy control rules and fuzzy control system for real time data processing of drilling capacity, drilling moment and spindle motor current under MATLAB platform. By discovering micro-drill bit abrasion information, online monitoring for micro drilling can be implemented in real time which can effectively prevent micro drill bit from crack.

Vibration Drilling the 0Cr18Ni9Ti Stainless Steel Micro-Hole

2012 ◽  
Vol 217-219 ◽  
pp. 1592-1595 ◽  
Author(s):  
Peng Zhang ◽  
Chang Hong Mei ◽  
Xing Yu Guo
Keyword(s):  
Stainless Steel ◽  
Hole Drilling ◽  
Drilling Process ◽  
Drill Bit ◽  
Drilling Force ◽  
Process Mechanism ◽  
Micro Hole ◽  
Vibration Drilling ◽  
Hole Machining

Austenite 0Cr18Ni9Ti stainless steel is one of difficult-to-cut materials. It has poor dilling process, especially for micro-hole machining. The main reasons are the tiny drill, poor rigidity, easy to deviation. Moreover, the chip is difficult to discharge, so the drilling force is increased and the drill bit is easy to break, or even it is impossible for micro-hole drilling. In this paper, the vibration drilling process is adopted. The vibration drilling 0Cr18Ni9Ti stainless steel micro-hole process mechanism is researched. The stainless steel micro-hole drilling experiments are conducted. The results show that the vibration drilling can be a better solution for 0Cr18Ni9Ti stainless steel micro-hole processing.

Research on Vibration Drilling 1Cr18Ni9Ti Stainless Steel Micro-Hole

2012 ◽  
Vol 591-593 ◽  
pp. 423-427
Author(s):  
Peng Zhang ◽  
Yan Jing ◽  
Xing Yu Guo
Keyword(s):  
Stainless Steel ◽  
Hole Drilling ◽  
Drilling Process ◽  
Drill Bit ◽  
Drilling Force ◽  
Process Mechanism ◽  
Micro Hole ◽  
Vibration Drilling ◽  
Hole Machining

The austenite 1Cr18Ni9Ti stainless steel is one of difficult-to-cut materials. It has poor dilling process, especially for micro-hole machining. The main reasons are the tiny drill, poor rigidity, easy to deviation. Moreover, the chip is difficult to discharge, so the drilling force is increased and the drill bit is easy to break, or even it is impossible for micro-hole drilling. In this paper, the vibration drilling process is adopted. The vibration drilling 1Cr18Ni9Ti stainless steel micro-hole process mechanism is researched. The stainless steel micro-hole drilling experiments are conducted. The results show that the vibration drilling can be a better solution for 1Cr18Ni9Ti stainless steel micro-hole processing.

On-Line Monitoring of Drill Wear in Machining of AISI 1040 Steel Using Virtual Instrumentation

2016 ◽  
Vol 852 ◽  
pp. 205-211
Author(s):  
S. Rajesh ◽  
M. Dhananchezian ◽  
A. Inian Roy
Keyword(s):  
Monitoring System ◽  
Research Work ◽  
High Speed Steel ◽  
Spindle Motor ◽  
Drilling Process ◽  
Drill Bit ◽  
Virtual Instrumentation ◽  
Bit Wear ◽  
Lab View ◽  
On Line

In this research work, an attempt is made to develop the on-line wear state monitoring system during drilling process on Vertical Machining Centre (VMC). The main objectives of the present work is to predict the drill wear states of High Speed Steel (HSS) drill bit during the drilling of a AISI 1040 Steel work piece using standard data acquisition software Lab VIEW by the application of Virtual Instrumentation (VI). The drill bit wear states were analyzed using spindle motor cutting current signals. The effective drill wear model have been developed using spindle motor cutting current signals and the various cutting parameters through Lab VIEW, to predict wear states of the drill-bit. The developed on-line drill wear process monitoring system has been used for the continuous monitoring of the drill-bit status, and to exhibit the drill wear states. It was found that the developed model show a good agreement with the experimental data where the deviation in drill-bit wear is less than 7% for varying cutting conditions.

Development and Application of a Micro-Honing-Tool

2009 ◽  
Vol 76-78 ◽  
pp. 189-194
Author(s):  
Shun Tong Chen ◽  
Ming Chie Yeh
Keyword(s):  
Surface Roughness ◽  
Hole Drilling ◽  
Micro Edm ◽  
Wire Edm ◽  
Uneven Surface ◽  
Novel Technique ◽  
New Process ◽  
Micro Hole ◽  
Micro Tool ◽  
On Line

The major aim of this study is to present a novel technique for honing the micro-hole. It is difficult that regarding the finish machining of the micro-hole that the diameter is less than 300 m. First, a new process that to on-line accurately fabricate the micro-honing-tool using micro-EDM, micro-co-deposition and micro-wire-EDM is proposed for honing the micro-hole. A micro rod for as the substrate of the micro-tool is formed by wire-EDM and then co-deposited with 0-2 m CBN-abrasives. Subsequently, it is axially and crisscross cut for an appropriate length by micro-wire-EDM to make the crotched microstructure. The whole processes are able to be on-line realized since all working positions are recorded in detail and fabrication technologies are offered sufficiently on the same system. As a result, per the same fabrication-system, the micro-honing process is also on-line conducted. The finished micro-honing-tool is employed directly without unloaded and reloaded. The grinding-block can compactly stick on the wall surface of the micro-hole due to the radial elasticity of the micro-tool and then fast grind away the uneven surface by removal of micro amount. Experimental results demonstrated that the circularity and surface roughness on the hole-wall is evidently improved. Comparing with the obtained machining surface by micro-EDM hole-drilling, the original surface roughness of near one-sixth time can be achieved. It is indicated that the micro-hole can be honed accurately using the proposed technique.

Fuzzy control based on genetic algorithm in intelligent psychology teaching system

2021 ◽  
pp. 1-9
Author(s):  
Xiaojia Pang ◽  
Yuwen Ning
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Control ◽  
Control Theory ◽  
Classroom Teaching ◽  
Improved Genetic Algorithm ◽  
Group Function ◽  
Teaching Process ◽  
Teaching Management ◽  
Teaching System ◽  
Volume Group

The advancement of science has made computer technology and the education industry more and more closely related, and the development of intelligent teaching systems has also opened a new path for classroom teaching. This paper studies the application of fuzzy control based on genetic algorithms in the intelligent psychology teaching system. Facing the complicated variables in the teaching process, the improved genetic algorithm can better realize dynamic teaching decisions through fuzzy control. This article aims to improve the quality of psychology classroom teaching, and develops an intelligent psychology teaching system based on the fuzzy control theory of genetic algorithm. Combined with the current development of fuzzy control theory, the problems existing in the intelligent teaching system are studied and analyzed, and they have been optimized and improved. This paper proposes a control algorithm based on a teaching management system. The algorithm can implement fuzzy control on student models, knowledge organization structure, intelligent test papers and teaching decision-making. While restoring the real teaching process, it can better realize teaching students in accordance with their aptitude and improve teaching. The intelligence of the system. According to the system test data, the proportions of the difficulty of the system’s automatic test paper are 30.1%, 51.6%, 18.3%, which are in line with the designer’s set expectation of 3 : 5:2, which shows the improved genetic algorithm. It can realize the intelligent volume group function very well.

Sign in / Sign up

Export Citation Format

Share Document