WEDM-Adaptive Control with a Multiple Input Model for Indentification of Workpiece Height

Rajurkar, K. P.; Wang, W. M.; Zhao, Wansheng

doi:10.1016/s0007-8506(07)60795-1

Cited by 35 publications

(16 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For many researchers, sparking frequency has been the most valuable state parameter of the WEDM process for realizing adaptive methods, such as wire rupture prevention, workpiece height estimation, and adaptive fuzzy control for stable machining [7][8][9][10][11]. However, experiments in this research show that the machining state of the WEDM process may even become unstable without sparking frequency variation that is known as a dominant symptom of the instability of the gap condition.…”

Section: Introductionmentioning

confidence: 87%

The benefits of using instantaneous energy to monitor the transient state of the wire EDM process

Kwon

Yang

2005

Int J Adv Manuf Technol

View full text Add to dashboard Cite

This paper deals with the implementation and analysis of real-time energy monitoring of the transient state of the wire electrical discharge machining (WEDM) process. Recently, sparking frequency information has been applied to control of the WEDM process, making more stable and efficient machining. Experimental results, however, show the limitations and insufficiency of that method. Instead of using the sparking frequency monitoring method, the use of a real-time instantaneous energy monitoring system is suggested for interpreting the state of the WEDM process in more precise detail. The transient state of the WEDM process is analyzed in detail with the developed system, and a transient stability criterion of the WEDM process is suggested.

show abstract

Section: Introductionmentioning

confidence: 87%

The benefits of using instantaneous energy to monitor the transient state of the wire EDM process

Kwon

Yang

2005

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…Artificial neural network systems have been applied to the solution of this problem [12]. In [13,14], researchers have chosen adaptive control techniques and online monitoring, developing a system which is able to estimate the thickness that is being cut, and thereof, makes an adjustment of the machining parameters in order to prevent wire breakage and maximize in this way the production.…”

Section: Introductionmentioning

confidence: 99%

An Industrial System for Estimation of Workpiece Height in WEDM

Conde¹,

Sánchez

Plaza

et al. 2015

Procedia Engineering

View full text Add to dashboard Cite

The wire electrical-discharge machining process (WEDM) is a widely-used technology which can achieve the requirements needed by industry, such complex geometries and precision. Cutting process control in WEDM becomes essential in terms of surface finish and dimensional tolerances. When a cut is made in a variable workpiece thickness, the process becomes very unstable in the transition zone. The difference of energy related to the WEDM regime cannot be easily accommodated when changing to another thickness. In this work a study of the most important variables that take part in the process is presented. It has been found that the workpiece thickness determination can be accomplished from the analysis of the variable Gap error, which is built as a combination of Ionization time (Td) and Servo voltage (Servo). An industrial system has been developed to determine the workpiece thickness with less than 10% error in comparison with the nominal value of part thickness.

show abstract

“…This is a drawback, especially when the thickness does not vary gradually. Better results were achieved with analytical [14,15] and non-parametric models [16]. Empirical models were also built on the EDM process [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Detection of the eroding surface in the EDM process based on the current signal in the gap

Valentinčič¹,

Junkar²

2005

Int J Adv Manuf Technol

View full text Add to dashboard Cite

To achieve high removal rate and low electrode wear in sinking electrical discharge machining process (EDM), rough machining parameters have to be selected according to the size of the eroding surface. In general, the size of the eroding surface varies according to the depth of the machining. Thus, it has to be determined on-line. This paper shows that the electric current signal in the gap depends on the size of the eroding surface. The significance of the process attributes of the electric current signal is established by inductive machine learning and the general decision rules are derived. The size of the eroding surface can be detected on-line by monitoring and evaluating the electric current signal in the gap.

show abstract

WEDM-Adaptive Control with a Multiple Input Model for Indentification of Workpiece Height

Cited by 35 publications

References 8 publications

The benefits of using instantaneous energy to monitor the transient state of the wire EDM process

The benefits of using instantaneous energy to monitor the transient state of the wire EDM process

An Industrial System for Estimation of Workpiece Height in WEDM

Detection of the eroding surface in the EDM process based on the current signal in the gap

Contact Info

Product

Resources

About