Patent application EP18212155A (EP), filed 2018-12-13
Publication number: EP3502933A1
Title: METHODS AND SYSTEMS FOR AUTHORING SIMULATION SCENARIOS
Abstract: [0001]    Unlike existing methods that rely on a manual procedure for setting conditions for performing computer-based simulations, embodiments automatically set conditions for a simulation of a real-world object represented by a computer aided design (CAD) model. In one such embodiment, the morphology of a CAD mode is analyzed to identify a function of an element of the CAD model. In turn, conditions for a simulation are defined based upon one or more rules corresponding to the identified function of the element of the CAD model, where said defining includes automatically setting conditions in a simulation of the real-world physical object.
IPC codes: G06F  17/    50            A I
G06F  30/    20            A I
G06F  30/    23            A I
G06N  20/    00            A I
Claims: number: 1
text: A computer-implemented method of automatically setting conditions for a simulation of a real-world physical object represented by a computer aided design (CAD) model, the method comprising:
number: 2
text: The method of Claim 1 wherein analyzing the morphology of the CAD model includes analyzing at least one of: topology and dimensions of the element of the CAD model.
number: 3
text: The method of Claim 1 wherein the defining is further based on a solver type of the simulation.
number: 4
text: The method of Claim 3 wherein the one or more rules correspond to both the identified function of the element of the CAD model and the solver type.
number: 5
text: The method of Claim 1 wherein the one or more rules corresponding to the identified function of the element of the CAD model are predefined and stored on a database.
number: 6
text: The method of Claim 5 wherein the one or more predefined rules are user developed rules associating at least one of a loading condition and a boundary condition with functionality of an element of a CAD model.
number: 7
text: The method of Claim 1 further comprising:
number: 8
text: The method of Claim 7 wherein identifying the one or more rules using machine learning analysis of a plurality of CAD models identifies associations between functionality of elements of the plurality of CAD models and at least one of boundary conditions and loading conditions defined for the elements of the plurality of CAD models.
number: 9
text: The method of Claim 1 wherein defining at least one of a loading condition and a boundary condition for the element of the CAD model is further based upon a material of the element of the CAD model.
number: 10
text: The method of Claim 1 wherein the element of the CAD model is formed by a plurality of boundary representations, and the step of defining includes defining at least one of a boundary condition and a loading condition for each of the boundary representations in the plurality.
number: 11
text: A computer program comprising instructions for performing the method of any of claims 1 to 10.
number: 12
text: A computer readable storage medium having recorded thereon the computer program of claim 11.
number: 13
text: A system to automatically set conditions for a simulation of a real-world physical object represented by a computer aided design (CAD) model, the system comprising:
Office action: search_report, dated 2019-06-26
Prior art cited: ref_id: US201715629024A
ref_type: patent
severity: background
ref_id: - M. G. MARCHETTA  ET AL: "An artificial intelligence planning approach to manufacturing feature recognition", COMPUTER AIDED DESIGN, vol. 42, no. 3, March 2010 (2010-03-01), pages 248 - 256, XP026888825, ISSN: 0010-4485, [retrieved on 20091202], DOI: 10.1016/J.CAD.2009.11.007
ref_type: npl
severity: background
ref_id: - F. BOUSSUGE ET AL: "Template-based Geometric Transformations of a Functionally Enriched DMU into FE Assembly Models", COMPUTER-AIDED DESIGN AND APPLICATIONS, vol. 11, no. 4, 24 February 2014 (2014-02-24), pages 436 - 449, XP055584851, DOI: 10.1080/16864360.2014.881187
ref_type: npl
severity: background
ref_id: - M. G. MARCHETTA ET AL, "An artificial intelligence planning approach to manufacturing feature recognition", COMPUTER AIDED DESIGN, vol. 42, no. 3, doi:10.1016/J.CAD.2009.11.007, ISSN 0010-4485, (201003), pages 248 - 256, (20091202), XP026888825 [I] 1-13 * abstract; figures 11-13 *
ref_type: npl
severity: background
ref_id: - F. BOUSSUGE ET AL, "Template-based Geometric Transformations of a Functionally Enriched DMU into FE Assembly Models", COMPUTER-AIDED DESIGN AND APPLICATIONS, (20140224), vol. 11, no. 4, doi:10.1080/16864360.2014.881187, pages 436 - 449, XP055584851 [I] 1-13 * abstract; figures 4,7-10 *
ref_type: npl
severity: background
Final disposition: pending (2019-06-26)