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The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material.Fri, 16 Feb 2024 18:46:14 GMT2024-02-16T18:46:14ZTowards a better integration of modelers and black box constraint solvers within the Product Design Process
http://hdl.handle.net/10985/17218
Towards a better integration of modelers and black box constraint solvers within the Product Design Process
MICHELUCCI, Dominique; DANIEL, Marc; FOUFOU, Sebti; PERNOT, Jean-Philippe
This paper presents a new way of interaction between modelers and solvers to support the Product Development Process (PDP). The proposed approach extends the functionalities and the power of the solvers by taking into account procedural constraints. A procedural constraint requires calling a procedure or a function of the modeler. This procedure performs a series of actions and geometric computations in a certain order. The modeler calls the solver for solving a main problem, the solver calls the modelerâ€™s procedures, and similarly procedures of the modeler can call the solver for solving sub-problems. The features, specificities, advantages and drawbacks of the proposed approach are presented and discussed. Several examples are also provided to illustrate this approach.
Tue, 01 Jan 2019 00:00:00 GMThttp://hdl.handle.net/10985/172182019-01-01T00:00:00ZMICHELUCCI, DominiqueDANIEL, MarcFOUFOU, SebtiPERNOT, Jean-PhilippeThis paper presents a new way of interaction between modelers and solvers to support the Product Development Process (PDP). The proposed approach extends the functionalities and the power of the solvers by taking into account procedural constraints. A procedural constraint requires calling a procedure or a function of the modeler. This procedure performs a series of actions and geometric computations in a certain order. The modeler calls the solver for solving a main problem, the solver calls the modelerâ€™s procedures, and similarly procedures of the modeler can call the solver for solving sub-problems. The features, specificities, advantages and drawbacks of the proposed approach are presented and discussed. Several examples are also provided to illustrate this approach.Variational geometric modeling with black box constraints and DAGs
http://hdl.handle.net/10985/11350
Variational geometric modeling with black box constraints and DAGs
GOUATY, Gilles; FANG, Lincong; MICHELUCCI, Dominique; DANIEL, Marc; RAFFIN, Romain; LANQUETIN, Sandrine; NEVEU, Marc; PERNOT, Jean-Philippe
CAD modelers enable designers to construct complex 3D shapes with high-level B-Rep operators. This avoids the burden of low level geometric manipulations. However a gap still exists between the shape that the designers have in mind and the way they have to decompose it into a sequence of modeling steps. To bridge this gap, Variational Modeling enables designers to specify constraints the shape must respect. The constraints are converted into an explicit system of mathematical equations (potentially with some inequalities) which the modeler numerically solves. However, most of available programs are 2D sketchers, basically because in higher dimension some constraints may have complex mathematical expressions. This paper introduces a new approach to sketch constrained 3D shapes. The main idea is to replace explicit systems of mathematical equations with (mainly) Computer Graphics routines considered as Black Box Constraints. The obvious difficulty is that the arguments of all routines must have known numerical values. The paper shows how to solve this issue, i.e., how to solve and optimize without equations. The feasibility and promises of this approach are illustrated with the developed DECO (Deformation by Constraints) prototype.
Fri, 01 Jan 2016 00:00:00 GMThttp://hdl.handle.net/10985/113502016-01-01T00:00:00ZGOUATY, GillesFANG, LincongMICHELUCCI, DominiqueDANIEL, MarcRAFFIN, RomainLANQUETIN, SandrineNEVEU, MarcPERNOT, Jean-PhilippeCAD modelers enable designers to construct complex 3D shapes with high-level B-Rep operators. This avoids the burden of low level geometric manipulations. However a gap still exists between the shape that the designers have in mind and the way they have to decompose it into a sequence of modeling steps. To bridge this gap, Variational Modeling enables designers to specify constraints the shape must respect. The constraints are converted into an explicit system of mathematical equations (potentially with some inequalities) which the modeler numerically solves. However, most of available programs are 2D sketchers, basically because in higher dimension some constraints may have complex mathematical expressions. This paper introduces a new approach to sketch constrained 3D shapes. The main idea is to replace explicit systems of mathematical equations with (mainly) Computer Graphics routines considered as Black Box Constraints. The obvious difficulty is that the arguments of all routines must have known numerical values. The paper shows how to solve this issue, i.e., how to solve and optimize without equations. The feasibility and promises of this approach are illustrated with the developed DECO (Deformation by Constraints) prototype.