Self-modifying agitation process and apparatus for support removal in additive manufacturing and 3D printed material
A process for support material removal for 3D printed parts wherein the part is placed in a media filled tank and support removal is optimized in a multi-parameter system through an artificial intelligence process which may include, but is not limited to, the use of historical data, parametric testing data, normal support removal data, and outputs from other support removal AI models to generate optimally efficient use of each parameter in terms of pulse repetition interval (PRI) and cycle time as defined by pulse width (PW). The input parameters may include heat, circulation, ultrasound and chemical reaction, which are used in sequence and/or in parallel, to optimize efficiency of support removal. Sequentially and/or in parallel, heat, pump circulation and ultrasound may vary in application or intensity. Selection of means of agitation depends on monitored feedback from the support removal tank and application of a statistically dynamic rule based system (SDRBS).
1. A method of removing support material from a part, comprising:
placing a part with support material within a chamber of an apparatus that includes a control unit configured to deliver and receive control signals for operation of the apparatus, said chamber having a media arranged within and, wherein said control unit is configured to deliver and receive control signals to perform the steps of:
setting a set of first parameters of said media for a first time interval;
measuring a first effect said media having said first parameters imparted on said support material over said first time interval prior to an end of said first time interval via a first sensor operatively arranged to view said part within said chamber, wherein said effect said media has on said part over said first time interval is compared to a computer-generated model of said part to determine the amount of support material which remains attached to said part;
analyzing said measurements from said first sensor;
determining a set of second parameters of said media for a second time interval;
adjusting said media to said second parameters for said second time interval;
repeating said method over a plurality of consecutive time intervals until a run time for said method has been reached; and,
removing said part from said chamber after said run time for said method has been reached.
2. The method of removing support material as recited in claim 1 , wherein said media is a fluid, a plurality of abrasive bodies, or a combination of both.
3. The method of removing support material as recited in claim 1 , further comprising measuring said set of first parameters of said media via a second sensor arranged within said chamber.
4. The method of removing support material as recited in claim 3 , wherein said first parameters of said media are temperature, media pressure, or agitation intensity.
5. The method of removing support material as recited in claim 1 , further comprising receiving a data set from a user in order to set said set of first parameters.
6. The method of removing support material as recited in claim 1 , wherein said first sensor is an optical, infrared, thermal, or acoustic sensor.
7. The method of removing support material as recited in claim 1 , wherein said set of first parameters is determined from a parameter history database.
8. The method of removing support material as recited in claim 1 , further comprising measuring a second effect said media having said second parameters imparted on said support material over said second time interval via said first sensor, said first time interval being longer in length than said second time interval.
9. The method of removing support material as recited in claim 1 , wherein said part is made from additive manufacturing and contains support material created due to the additive manufacturing process.