Electric discharge machining control apparatus

• US 5,200,905 A
• Filed: 08/07/1990
• Issued: 04/06/1993
• Est. Priority Date: 08/09/1989
• Status: Expired due to Term

• Current Assignee: Mitsubishi Denki Kabushiki Kaisha (Mitsubishi Electric Corporation)
• Original Assignee: Mitsubishi Denki Kabushiki Kaisha (Mitsubishi Electric Corporation)
• Inventors: Akamatsu, Koji, Uemoto, Kazuhiko, Ohba, Nobuaki
• Primary Examiner(s): RUGGIERO, JOSEPH F
• Application Number:
  US07/563,650
• Time in Patent Office: 973 Days
• Field of Search: 364/474.04, 364/474.01, 364/474.02, 364/474.15, 364/474.22-474.27, 364/148, 318/561, 219/69.11-69.2, 395/904, 395/51, 395/61, 395/900
• US Class Current: 700/162
• CPC Class Codes: B23H 7/20 for programme-control, e.g. adaptive programme-control systems in general G05B19/00
• CPC Class Codes: Y10S 706/90 Fuzzy logic
• CPC Class Codes: Y10S 706/904 Manufacturing or machine, e.g. agricultural machinery, machine tool

Abstract

An electric discharge machining control apparatus in which the know how of a skilled person can be readily written which concerns the setting of machining conditions such as pause time, discharge duration time, servo reference voltage, and speed gain which are necessary for maintaining optimum electric discharge machining conditions and for offering a maximum electric discharge machining efficiency, as well as the criterions to the instability of electric discharge machining conditions. According to the know how, the machining control is carried out in a most suitable manner, and can be automatically adjusted when required.

Claims

1. An electric discharge machining control apparatus comprising:

control means for controlling at least one machining condition in an electric discharge machining operation;

knowledge memory means for storing methods effective in allowing said control means to control said machining condition;

status detecting means for detecting machining status data from an electric discharge machining process

status memory means for storing at least one of the present and past machining status data detected by said status detecting means; and

inference means for combining a plurality of results which are obtained from machining status data read out of said status memory means and methods read out of said knowledge memory means in association with said machining status data thus read, to provide an instruction value for the control of said machining condition by said control means.

2. An apparatus as claimed in claim 1 wherein said control means controls at least one of a pause time, an electric discharge duration, a servo reference voltage and a feed speed in an electric discharge machining operation.

3. An electric discharge machining control apparatus as claimed in claim 1, in which said knowledge memory means comprises a knowledge memory section in which methods effective in performing pause time control, electric discharge duration control, and servo reference voltage control are stored in a rule form consisting of a first part in which conditions to be determined are described and a second part in which contents to be performed when said conditions are satisfied or not satisfied are described.

4. An electric discharge machining control apparatus as claimed in claim 2, in which said knowledge memory means comprises a knowledge memory section in which methods effective in performing pause time control, electric discharge duration control, and servo reference voltage control are stored in a rule form consisting of a first part in which conditions to be determined are described and a second part in which contents to be performed when said conditions are satisfied or not satisfied are described.

5. An electric discharge machining control apparatus as claimed in claim 3, wherein said knowledge memory section expresses the first and second parts of part or all of said rule forms according to a fuzzy set, and stores said expressions and membership functions corresponding thereto with respect to the fuzzy set, and said inference means combines the plurality of results by fuzzy composition.