Design and tuning of a fuzzy logic controller for micro-hole electrical discharge machining

Kao, Chen Chun; Shih, Albert J.

doi:10.1016/j.jmapro.2009.03.001

Cited by 24 publications

(10 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e minimum d-step optimal prediction output with y * (k + d | k) in above performance index equation (33) needs to satisfy…”

Section: Controller Designmentioning

confidence: 99%

“…e controller had higher processing efficiency and lower electrode loss in rough or finishing machining. Kao et al [33,34] used the spark deviation rate and the average gap voltage as the input of the fuzzy controller, the output is the electrode feed speed and the feed direction, and the performance of the paste controller was evaluated by the gain control controller. Kaneko and Onodera [35] took the arc rate and the short circuit rate as the input of the fuzzy control system to control the electrode lifting motion, which improved the machining speed and depth.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modeling of Interelectrode Gap in Electric Discharge Machining and Minimum Variance Self-Tuning Control of Interelectrode Gap

Xin

Gao

et al. 2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

In the electric discharge machining system, the determination of the gap between the anode and the cathode is a difficult point of this kind of machining approach. An accurate mathematical model of interelectrode gap is obtained, and the precise control of the gap is achieved on this basis. In this paper, based on the example of discharge machining of P-type single crystal Si, the theoretical analysis proved that the discharge channel can be equivalent to pure resistance, and the physical model of the interelectrode gap and voltage and current was established. The order and parameters of the EDM system model were determined by adopting the system identification theory. We designed the minimum variance self-correcting controller to accurately control the interelectrode gap in combination with the actual machining process. Experimental results show that the interelectrode gap model can correctly reflect the interelectrode gap in the actual machining process; the minimum variance self-correcting controller eliminates the short circuit phenomenon during processing and can stably track different desired gaps; the material removal rate and the surface roughness decrease with the increase of the interelectrode gap.

show abstract

“…e minimum d-step optimal prediction output with y * (k + d | k) in above performance index equation (33) needs to satisfy…”

Section: Controller Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling of Interelectrode Gap in Electric Discharge Machining and Minimum Variance Self-Tuning Control of Interelectrode Gap

Xin

Gao

et al. 2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…The reason for this can be found in the fact short circuits do not contribute to material removal in a predictable manner, as do normal discharge pulses. Short circuits are normally considered to be harmful to the drilling speed [35]. This explains why the correlation coefficients of f s were negative, while the correlations coefficients of f p were positive.…”

Section: Resultsmentioning

confidence: 99%

Process Fingerprint in Micro-EDM Drilling

2019

View full text Add to dashboard Cite

The micro electrical discharge machining (micro-EDM) process is extensively used in aerospace, automotive, and biomedical industries for drilling small holes in difficult-to-machine materials. However, due to the complexity of the electrical discharge phenomena, optimization of the processing parameters and quality control are time-consuming operations. In order to shorten these operations, this study investigates the applicability of a process fingerprint approach in micro-EDM drilling. This approach is based on the monitoring of a few selected physical quantities, which can be controlled in-line to maximize the drilling speed and meet the manufacturing tolerance. A Design of Experiments (DoE) is used to investigate the sensitivity of four selected physical quantities to variations in the processing parameters. Pearson’s correlation is used to evaluate the correlation of these quantities to some main performance and hole quality characteristics. Based on the experimental results, the potential of the process fingerprint approach in micro-EDM drilling is discussed. The results of this research provide a foundation for future in-line process optimization and quality control techniques based on machine learning.

show abstract

“…In a minor study, a fuzzy logic controller was developed by Kao et al. 4 to predict the drilling time required for drilling a hole on AISI 52100 steel disk of 2.3 mm and 1.14 mm thickness. The fuzzy rule was established between three input (gap voltage, spark ratio, change in spark ratio) and one output parameter (drilling time).…”

Section: Introductionmentioning

confidence: 99%

WEDM microdrilling of 316 L stainless steel orthopedic implant

Sahu

Pattanayak

Panda

2020

Proceedings of the Institution of Mechanical Engineers, Part C:

View full text Add to dashboard Cite

The development in manufacturing has insisted upon the fabrication of microdrilled holes on orthopedic implants, with finished side wall (devoid of cracks and burr), thin recast layer, low taper, and improved circularity at entry and exit of the hole. In this study, therefore, a multiobjective optimization of wire electric discharge machining microdrilling response characteristics is addressed in order to improve the hole quality characteristics and viability of implants. To improve the quality characteristics of the hole, a hybrid statistical analysis is developed based on grey relational analysis and coefficient of variation. It identifies the key process parameters that are responsible for improving the quality of the hole. The parametric study also reveals that wire feed rate and servo feed rate have a striking effect on the quality of the hole. An important implication of this study is that a thin recast layer, improved entry and exit circularity, adequate taper were observed under optimum drilling condition.

show abstract

Design and tuning of a fuzzy logic controller for micro-hole electrical discharge machining

Cited by 24 publications

References 29 publications

Modeling of Interelectrode Gap in Electric Discharge Machining and Minimum Variance Self-Tuning Control of Interelectrode Gap

Modeling of Interelectrode Gap in Electric Discharge Machining and Minimum Variance Self-Tuning Control of Interelectrode Gap

Process Fingerprint in Micro-EDM Drilling

WEDM microdrilling of 316 L stainless steel orthopedic implant

Contact Info

Product

Resources

About