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Sweep Surfaces for CAGD Jinesh Machchhar Advisors: Prof. Milind - PowerPoint PPT Presentation

Sweep Surfaces for CAGD Jinesh Machchhar Advisors: Prof. Milind Sohoni and Prof. Bharat Adsul September 12, 2013 Outline of the work When introducing a new surface type in a CAD kernel Parametrization: Local aspects Topology: Global aspects


  1. Sweep Surfaces for CAGD Jinesh Machchhar Advisors: Prof. Milind Sohoni and Prof. Bharat Adsul September 12, 2013

  2. Outline of the work When introducing a new surface type in a CAD kernel Parametrization: Local aspects Topology: Global aspects Self-intersection: Global aspects Parametrization: Funnel Self-intersection: Trim curves and locus of θ = 0 Topology: Local homeomorphism between solid and envelope. Further, sweeping sharp solids.

  3. >0 >0 A simple 2-D sweep Figure: A simple 2-D sweep A coin is translated along a parabolic trajectory in 2-D. At each time instance t , there are two points-of-contact.

  4. =0 >0 <0 t=1 t=0 t=0 t=0 t=1 t=1 A non-decomposable 2-D sweep Figure: A ‘non-decomposable’ 2-D sweep A coin is translated along a higher-curvature parabolic trajectory. What is the envelope in this case?

  5. =0 >0 <0 t=1 t=0 t=0 t=0 t=1 t=1 A non-decomposable 2-D sweep Figure: A ‘non-decomposable’ 2-D sweep A coin is translated along a higher-curvature parabolic trajectory. What is the envelope in this case? The parts connecting the green point to the endpoints of the red-curve also need to be trimmed to construct the correct envelope!

  6. Envelope Definition Brep: A solid M in R 3 represented by its boundary A trajectory in the group of rigid motions: h : R → ( SO (3) , R 3 ) , h ( t ) = ( A ( t ) , b ( t )) where A ( t ) ∈ SO (3) , b ( t ) ∈ R 3 , t ∈ I Action of h on M at time t : M ( t ) = { A ( t ) · x + b ( t ) | x ∈ M } Trajectory of a point x : γ x : I → R 3 , γ x ( t ) = A ( t ) · x + b ( t )

  7. Envelope Definition � Swept volume V := M ( t ). t ∈ I Envelope E := ∂ V . Correspondence R = { ( y , x , t ) ∈ E × M × I | y = γ x ( t ) } . R ⊂ E × ∂ M × I . ∂ M induces the brep structure on E via R .

  8. Envelope Definition Outward normal to ∂ M at x : N ( x ). Velocity of γ x ( t ) : γ ′ x ( t ). Define g : ∂ M × I → R as g ( x , t ) = � A ( t ) · N ( x ) , γ ′ x ( t ) � . For I = [ t 0 , t 1 ], γ x ( t ) ∈ E only if: (i) g ( x , t ) = 0, or (ii) t = t 0 and g ( x , t ) ≤ 0, or (iii) t = t 1 and g ( x , t ) ≥ 0.

  9. Envelope Definition Curve of contact at t 0 ∈ I : C ( t 0 ) = { γ x ( t 0 ) | x ∈ ∂ M , g ( x , t 0 ) = 0 } . � Contact set C = C ( t ). t ∈ I

  10. Parametrizations: Faces Smooth/regular surface S underlying face F of ∂ M ; u , v : parameters of S . Sweep map σ : R 2 × I → R 3 σ ( u , v , t ) = A ( t ) · S ( u , v ) + b ( t ) For sweep interval I = [ t 0 , t 1 ], we define the following subsets of the parameter space L = { ( u , v , t 0 ) ∈ R 2 × { t 0 } such that f ( u , v , t 0 ) ≤ 0 } F = { ( u , v , t ) ∈ R 2 × I such that f ( u , v , t ) = 0 } R = { ( u , v , t 1 ) ∈ R 2 × { t 1 } such that f ( u , v , t 1 ) ≥ 0 } C = σ ( F )

  11. Parametrizations

  12. u t v z x y Funnel Contact-set M Parametrizations C = σ ( F ) Figure: The funnel and the contact-set.

  13. Simple sweep For t 0 ∈ I , R t 0 := { ( y , x , t ) ∈ R | t = t 0 } . Projections τ : R → I and Y : R → E as τ ( y , x , t ) = t and Y ( y , x , t ) = y . Sweep ( M , h , I ) is simple if for all t ∈ I o , C ( t ) = Y ( R t ) No trimming needed: E = σ ( L ∪ F ∪ R ).

  14. Self-intersections

  15. Trim set: Not all sweeps are simple Trim set T := { x ∈ C |∃ t ∈ I , x ∈ M o ( t ) } . p-trim set pT := σ − 1 ( T ) ∩ F . Clearly, T ∩ E = ∅ . Extend the correspondence R to C × M × I : ˜ R := { ( y , x , t ) ∈ C × M × I | y = A ( t ) · x + b ( t ) } . ˜ R �⊂ C × ∂ M × I

  16. Trim curves Trim curve ∂ T : boundary of T . p-trim curve : ∂ pT : boundary of pT . For p = ( u , v , t ) ∈ F , let σ ( p ) = y . L : F → 2 R , L ( p ) := τ ( y ˜ R ) Define ℓ : F → R ∪ ∞ , t ′ ∈ L ( p ) \{ t } � t − t ′ � ℓ ( p ) = inf if L ( p ) � = { t } = ∞ if L ( p ) = { t } Define t − sep = inf p ∈F ℓ ( p ).

  17. Trim curves Elementary trim curve : There exists δ > 0 such that for all p ∈ C , ℓ ( p ) > δ . Singular trim curve : inf p ∈ C ℓ ( p ) = 0.

  18. (b) Non-decomposable sweep (a) Decomposable sweep Decomposability Given I , call a partition P of I into consecutive intervals I 1 , I 2 , . . . , I k P to be of width δ if max { length ( I 1 ) , length ( I 2 ) , . . . , length ( I k P ) } = δ . ( M , h , I ) is decomposable if there exists δ > 0 such that for all partitions P of I of width δ , each sweep ( M , h , I i ) is simple for i = 1 , · · · , k P . The sweep ( M , h , I ) is decomposable iff t − sep > 0. Further, if t − sep > 0 then all the p-trim curves are elementary.

  19. A geometric invariant on F For p ∈ F , { σ u ( p ) , σ v ( p ) , σ t ( p ) } are l.d. Let σ t ( p ) = n ( p ) .σ u ( p ) + m ( p ) .σ v ( p ), n and m continuous on F . Define θ : F → R , θ ( p ) = n ( p ) · f u ( p ) + m ( p ) · f v ( p ) − f t ( p ) If for all p ∈ F , θ ( p ) > 0, then the sweep is decomposable. If there exists p ∈ F such that θ ( p ) < 0, then the sweep is non-decomposable. θ invariant of the parametrization of ∂ M . Arises out of relation between two 2-frames on T C . Is a non-singular function.

  20. A geometric invariant on F θ partitions the F into (i) F + := { p ∈ F| θ ( p ) > 0 } , (ii) F − := { p ∈ F| θ ( p ) < 0 } and (iii) F 0 := { p ∈ F| θ ( p ) = 0 } . Define C + := σ ( F + ), C − := σ ( F − ) and C 0 := σ ( F 0 ). t z u x v y Funnel Contact-set C − ⊂ T . C 0 : The set of points where dim ( T C ) < 2.

  21. Trimming non-decomposable sweeps Figure: Example of a non-decomposable sweep: an elliptical cylinder being swept along y -axis while undergoing rotation about z -axis. The curve θ = 0 is shown in red and trim curve is shown in blue. The portion of the swept edges where θ is negative is shown in green.

  22. Trimming non-decomposable sweeps If c is a singular p-trim curve and p 0 ∈ c is a limit-point of ( p n ) ⊂ c such that lim n →∞ ℓ ( p n ) = 0, then θ ( p 0 ) = 0. singular trim point : A limit point p of a singular p-trim curve c such that θ ( p ) = 0. c of F 0 which makes Every curve c of ∂ pT has a curve F 0 contact with it. F 0 is easy to compute since ∇ θ is non-zero.

  23. Locating F 0 ∩ ∂ pT Let Ω be a parametrization of a curve F 0 i of F 0 . Let Ω( s 0 ) = p 0 ∈ F 0 i and ¯ z := ( n , m , − 1) ∈ null ( J σ ) at p 0 , i.e., n σ u + m σ v = σ t . Define the function ̺ : F 0 → R as follows. � z × d Ω � ̺ ( s 0 ) = ¯ ds | s 0 , ∇ f | p 0 ̺ is a measure of the oriented angle between the tangent at p 0 to F 0 i and the kernel (line) of the Jacobian J σ restricted to the tangent space T F ( p 0 ). If p 0 is a singular trim point, then ̺ ( p 0 ) = 0.

  24. Examples of non-decomposable sweeps Figure: Example of a non-decomposable sweep: a cone being swept along a parabola. The curve θ = 0 is shown in red and trim curve is shown in blue. The portion of the swept edges where θ is negative is shown in green.

  25. Examples of non-decomposable sweeps Figure: Example of a non-decomposable sweep: a cylinder being swept along a cosine curve in xy -plane while undergoing rotation about x -axis. The curve θ = 0 is shown in red and trim curve is shown in blue. The portion of the swept edges where θ is negative is shown in green.

  26. Examples of non-decomposable sweeps Figure: Example of a non-decomposable sweep: a blended intersection of a sphere and an ellipsoid being swept along a circular arc in xy -plane while undergoing rotation about z -axis. The curve θ = 0 is shown in red and trim curve is shown in blue. The portion of the swept edges where θ is negative is shown in green.

  27. Nested trim curves Figure: A singular p-trim curve nested inside an elementary p-trim curve

  28. Topology

  29. Computing topological information Assume w.l.o.g. ( M , h , I ) is simple. Let F be a face of ∂ M and C F be its contact set. The correspondence R induces the natural map π : C F → F π ( y ) = x such that ( y , x , t ) ∈ R . π is a well defined map. For p ∈ F F , let σ ( p ) = y . π is a local homeomorphism at y if f t ( p ) � = 0. Proof. π ′ is a local homeomorphism. Figure: The above diagram commutes.

  30. Orientability of the envelope

  31. When is π orientation preserving/reversing? For p ∈ F let σ ( p ) = y and suppose f t ( p ) � = 0. π is orientation preserving/reversing at y if − θ ( p ) f t ( p ) is positive/negative respectively. − θ f t is a geometric invariant. Figure: In the above example, π ( y ) = x . The map π is orientation preserving at y .

  32. When is π orientation preserving/reversing? For p ∈ F let σ ( p ) = y and suppose f t ( p ) � = 0. π is orientation preserving/reversing at y if − θ ( p ) f t ( p ) is positive/negative respectively. − θ f t is a geometric invariant. Figure: In the above example, π ( y ) = x . The map π is orientation reversing at y .

  33. Geometric meaning of − θ f t Define the following subsets of a nbhd. M ⊂ F ( t 0 ) of a point y ∈ C ( t 0 ) f + = { q ∈ M| f ( σ − 1 ( q )) > 0 } f 0 = { q ∈ M| f ( σ − 1 ( q )) = 0 } = C ( t 0 ) ∩ M f − = { q ∈ M| f ( σ − 1 ( q )) < 0 } Figure: Positive and negative hemispheres at a point y ∈ ∂ M ( t 0 ).

  34. Geometric meaning of − θ f t Contributing curve at t 0 for t is defined as the set { γ x ( t 0 ) | x ∈ ∂ M , g ( x , t ) = 0 } and denoted by t 0 C ( t ). t 0 C ( t 0 ) = C ( t 0 )

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