边做圆角
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@@ -1237,257 +1237,228 @@ class FillMeshGenerator:
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return Pf, Pb, T, xy
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return Pf, Pb, T, xy
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import numpy as np
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def assemble_mesh(self, Pf, Pb, T):
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def assemble_mesh(self, Pf, Pb, T):
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nV = len(Pf)
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nV = len(Pf)
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faces = []
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faces = []
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# 1. 前表面（CCW，法向朝外朝前）
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# 1. 前表面（CCW，法线朝前）
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for a, b, c in T:
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for a, b, c in T:
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faces.append((a, b, c))
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faces.append((a, b, c))
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# 2. 后表面（法向朝外朝后）
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# 2. 后表面（CW，法线朝后）
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for a, b, c in T:
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for a, b, c in T:
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faces.append((a + nV, c + nV, b + nV))
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faces.append((a + nV, c + nV, b + nV))
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# 3. 提取边界环
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# 3. 提取边界环
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dired, unded = {}, {}
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from collections import Counter, defaultdict
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for a, b, c in T:
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edge_count = Counter()
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for u, v in ((a, b), (b, c), (c, a)):
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for f in T:
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dired[(u, v)] = dired.get((u, v), 0) + 1
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for a, b in [(f[0], f[1]), (f[1], f[2]), (f[2], f[0])]:
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for (u, v) in dired:
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key = (min(a, b), max(a, b))
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unded[(min(u, v), max(u, v))] = unded.get((min(u, v), max(u, v)), 0) + 1
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edge_count[key] += 1
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bnext = {u: v for (u, v) in dired if unded[(min(u, v), max(u, v))] == 1}
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ring = [next(iter(bnext))]
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boundary_edges = [e for e, c in edge_count.items() if c == 1]
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while bnext[ring[-1]] != ring[0]:
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adj = defaultdict(list)
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ring.append(bnext[ring[-1]])
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for a, b in boundary_edges:
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adj[a].append(b)
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adj[b].append(a)
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ring = []
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visited = set()
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start = next(iter(adj))
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cur = start
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while True:
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ring.append(cur)
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visited.add(cur)
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neighbors = [n for n in adj[cur] if n not in visited]
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if not neighbors:
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break
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cur = neighbors[0]
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Nr = len(ring)
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Nr = len(ring)
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# 判断环方向
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# ========== 4. 计算曲率和外法线 ==========
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area_sum = 0.0
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curvature = np.zeros(Nr)
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for i in range(Nr):
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for i in range(Nr):
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u = ring[i]
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prev = ring[(i - 1) % Nr]
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v = ring[(i + 1) % Nr]
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curr = ring[i]
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area_sum += (Pf[v][0] - Pf[u][0]) * (Pf[v][1] + Pf[u][1])
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next_pt = ring[(i + 1) % Nr]
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is_clockwise = area_sum > 0
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v1 = Pf[curr] - Pf[prev]
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v2 = Pf[next_pt] - Pf[curr]
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v1[2] = 0
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v2[2] = 0
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len1 = np.linalg.norm(v1)
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len2 = np.linalg.norm(v2)
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if len1 > 1e-6 and len2 > 1e-6:
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v1 /= len1
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v2 /= len2
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cross_z = v1[0] * v2[1] - v1[1] * v2[0]
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dot = np.clip(v1 @ v2, -1, 1)
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angle = np.arccos(dot)
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curvature[i] = angle * (1 if cross_z > 0 else -1)
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# 4. 计算外法线方向
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outward_list = []
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outward_list = []
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for i in range(Nr):
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for i in range(Nr):
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u = ring[i]
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curr = ring[i]
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v = ring[(i + 1) % Nr]
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next_pt = ring[(i + 1) % Nr]
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edge_vec = Pf[v] - Pf[u]
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prev = ring[(i - 1) % Nr]
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edge_vec[2] = 0
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length = np.linalg.norm(edge_vec)
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edge1 = Pf[curr] - Pf[prev]
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if length > 1e-6:
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edge2 = Pf[next_pt] - Pf[curr]
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if is_clockwise:
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edge1[2] = 0
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outward = np.array([edge_vec[1], -edge_vec[0], 0]) / length
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edge2[2] = 0
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normal1 = np.array([-edge1[1], edge1[0], 0])
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normal2 = np.array([-edge2[1], edge2[0], 0])
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len1 = np.linalg.norm(normal1)
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len2 = np.linalg.norm(normal2)
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if len1 > 1e-6 and len2 > 1e-6:
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outward = (normal1 / len1 + normal2 / len2) / 2
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outward_norm = np.linalg.norm(outward)
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if outward_norm > 1e-6:
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outward /= outward_norm
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else:
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else:
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outward = np.array([-edge_vec[1], edge_vec[0], 0]) / length
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outward = np.array([0, 0, 1])
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else:
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else:
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outward = np.zeros(3)
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outward = np.array([0, 0, 1])
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outward_list.append(outward)
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outward_list.append(outward)
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# ========== 参数 ==========
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# ========== 5. 圆角参数 ==========
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radius = 0.0 # 增大半径让倒角更明显
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base_radius = 0.12
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shrink_factor = 0.32 # 相应减小收缩因子，控制体积
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min_radius = 0.02
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max_radius = 0.15
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segments = 4
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is_concave = np.zeros(Nr, dtype=bool)
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is_convex = np.zeros(Nr, dtype=bool)
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for i in range(Nr):
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if curvature[i] < -0.05:
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is_concave[i] = True
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elif curvature[i] > 0.05:
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is_convex[i] = True
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local_radius = np.ones(Nr) * base_radius
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for i in range(Nr):
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if is_concave[i]:
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local_radius[i] = max(min_radius, base_radius * 0.1)
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elif is_convex[i]:
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factor = min(1.3, 1.0 + curvature[i] * 0.5)
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local_radius[i] = min(max_radius, base_radius * factor)
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# ========== 6. 生成圆角环顶点 ==========
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new_verts = []
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new_base = 2 * nV
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# 5. 生成转角点
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corner_f_coords = []
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corner_b_coords = []
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for i in range(Nr):
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for i in range(Nr):
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u = ring[i]
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u = ring[i]
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prev_out = outward_list[(i - 1) % Nr]
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r = local_radius[i]
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cur_out = outward_list[i]
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for k in range(1, segments + 1):
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avg_out = (prev_out + cur_out) / 2.0
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t = k / segments
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n = np.linalg.norm(avg_out)
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angle = t * np.pi / 2
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if n > 1e-6:
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offset_h = r * np.sin(angle)
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avg_out = avg_out / n
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offset_v = r * (1 - np.cos(angle))
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else:
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pt = Pf[u].copy()
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avg_out = cur_out
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shrink = radius * shrink_factor
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pt[:2] -= outward_list[i][:2] * offset_h
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cf = Pf[u] - avg_out * shrink
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pt[2] -= offset_v
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cb = Pb[u] - avg_out * shrink
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new_verts.append(pt)
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corner_f_coords.append(cf)
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corner_b_coords.append(cb)
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# 6. 生成过渡点
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Pall = np.vstack([Pf, Pb] + new_verts)
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transition_f_coords = []
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transition_b_coords = []
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def fillet_idx(i, k):
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if k == 0:
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return ring[i]
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return new_base + i * segments + (k - 1)
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# ========== 7. 圆角环三角形（修正：法线朝外）==========
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for i in range(Nr):
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for i in range(Nr):
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u = ring[i]
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j = (i + 1) % Nr
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v = ring[(i + 1) % Nr]
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cf_u = corner_f_coords[i]
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cf_v = corner_f_coords[(i + 1) % Nr]
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cb_u = corner_b_coords[i]
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cb_v = corner_b_coords[(i + 1) % Nr]
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mid_boundary = (Pf[u] + Pf[v]) / 2.0
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for k in range(segments):
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mid_corner_f = (cf_u + cf_v) / 2.0
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a = fillet_idx(i, k)
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mid_boundary_b = (Pb[u] + Pb[v]) / 2.0
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b = fillet_idx(i, k + 1)
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mid_corner_b = (cb_u + cb_v) / 2.0
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c = fillet_idx(j, k)
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d = fillet_idx(j, k + 1)
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w_boundary = 0.65 # 更靠近边界，减少内缩
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# 关键修正：反转绕序
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w_corner = 0.35
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# 原来是 (a,c,b) 和 (b,c,d)，现在改为：
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tf = mid_boundary * w_boundary + mid_corner_f * w_corner
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tb = mid_boundary_b * w_boundary + mid_corner_b * w_corner
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transition_f_coords.append(tf)
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transition_b_coords.append(tb)
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# 7. 构建 Pall
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base_idx = 2 * nV
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all_new_verts = []
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for i in range(Nr):
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all_new_verts.append(corner_f_coords[i])
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all_new_verts.append(corner_b_coords[i])
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for i in range(Nr):
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all_new_verts.append(transition_f_coords[i])
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all_new_verts.append(transition_b_coords[i])
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Pall = np.vstack([Pf, Pb] + all_new_verts)
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corner_f = [base_idx + i * 2 for i in range(Nr)]
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corner_b = [base_idx + i * 2 + 1 for i in range(Nr)]
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transition_indices = {}
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for i in range(Nr):
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transition_indices[(i, 'f')] = base_idx + Nr * 2 + i * 2
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transition_indices[(i, 'b')] = base_idx + Nr * 2 + i * 2 + 1
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center = np.mean([Pf[r] for r in ring], axis=0)
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# 8. 辅助函数
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def add_face(faces, a, b, c):
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ab = Pall[b] - Pall[a]
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ac = Pall[c] - Pall[a]
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area = np.linalg.norm(np.cross(ab, ac))
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if area > 1e-10:
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faces.append((a, b, c))
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faces.append((a, b, c))
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return area > 1e-10
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faces.append((b, d, c))
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# 9. 构建侧墙（固定方向，不做逐边判断）
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# ========== 8. 直墙（修正：法线朝外）==========
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# 前表面三角形是 CCW，所以边界遍历方向是逆时针
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# 侧墙三角形应该保持 CCW 朝向（从外部看）
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for i in range(Nr):
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for i in range(Nr):
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u = ring[i]
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j = (i + 1) % Nr
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v = ring[(i + 1) % Nr]
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cf_u = corner_f[i]
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cf_v = corner_f[(i + 1) % Nr]
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cb_u = corner_b[i]
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cb_v = corner_b[(i + 1) % Nr]
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tf = transition_indices[(i, 'f')]
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a = fillet_idx(i, segments)
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tb = transition_indices[(i, 'b')]
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b = fillet_idx(j, segments)
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a_back = ring[i] + nV
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b_back = ring[j] + nV
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# 前过渡区：连接前表面边界到过渡点
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# 关键修正：原来是 (a,b,b_back) 和 (a,b_back,a_back)
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# 三角形 (u, v, tf)：前表面边界边 (u->v) 加上过渡点
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# 现在改为：
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# 保持 CCW：从上方看，u->v 是逆时针，所以 tf 应该在左侧
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faces.append((a, b_back, b))
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add_face(faces, u, v, tf)
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faces.append((a, a_back, b_back))
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add_face(faces, u, tf, cf_u)
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add_face(faces, v, cf_v, tf)
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# 圆角主体：过渡点到转角点
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add_face(faces, tf, cf_v, cf_u)
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# 厚度连接：前表面转角点到后表面转角点
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# 保持法向朝外：从外部看应该是 CCW
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add_face(faces, cf_u, cf_v, cb_v)
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add_face(faces, cf_u, cb_v, cb_u)
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# 后过渡区：连接后表面边界到过渡点
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# 后表面三角形是 CW（从外部看），所以这里需要翻转
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add_face(faces, cb_u, tb, cb_v)
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add_face(faces, tb, u + nV, v + nV)
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add_face(faces, tb, v + nV, cb_v)
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Ff = np.asarray(faces, np.int64)
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Ff = np.asarray(faces, np.int64)
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# ===== 内置水密性校验 =====
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# ========== 9. 诊断输出 ==========
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edge_count = {}
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front_part = Ff[:len(T)]
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for f in Ff:
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back_part = Ff[len(T):2*len(T)]
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for j in range(3):
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side_part = Ff[2*len(T):]
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a, b = f[j], f[(j + 1) % 3]
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e = (min(a, b), max(a, b))
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edge_count[e] = edge_count.get(e, 0) + 1
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non_manifold = sum(1 for c in edge_count.values() if c != 2)
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def calc_signed_vol(faces_sub):
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total_edges = len(edge_count)
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v = 0.0
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for f in faces_sub:
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edge_faces_map = {}
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for fi, f in enumerate(Ff):
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for j in range(3):
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a, b = f[j], f[(j + 1) % 3]
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e = (min(a, b), max(a, b))
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edge_faces_map.setdefault(e, []).append(fi)
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conflict = 0
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for e, fis in edge_faces_map.items():
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if len(fis) == 2:
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n1 = np.cross(Pall[Ff[fis[0]][1]] - Pall[Ff[fis[0]][0]],
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Pall[Ff[fis[0]][2]] - Pall[Ff[fis[0]][0]])
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n2 = np.cross(Pall[Ff[fis[1]][1]] - Pall[Ff[fis[1]][0]],
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Pall[Ff[fis[1]][2]] - Pall[Ff[fis[1]][0]])
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if np.dot(n1, n2) < -0.5:
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conflict += 1
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self.log(f" 内置校验: 非流形边 {non_manifold}/{total_edges}, 方向冲突边 {conflict}")
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# ===== 自动方向修复 =====
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# 先构建邻接关系
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from collections import defaultdict
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edge_to_faces = defaultdict(list)
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for fi, f in enumerate(Ff):
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for j in range(3):
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a, b = f[j], f[(j + 1) % 3]
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e = (min(a, b), max(a, b))
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edge_to_faces[e].append(fi)
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# 找一条非流形边（共享面数 != 2）
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bad_edges = [(e, fis) for e, fis in edge_to_faces.items() if len(fis) != 2]
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if bad_edges:
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self.log(f" 发现 {len(bad_edges)} 条非流形边，尝试修复...")
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# 简单策略：翻转所有侧墙三角形的方向
|
|
||||||
# 侧墙三角形 = 总面数 - 前表面 - 后表面
|
|
||||||
n_top = len(T) # 前表面三角形数
|
|
||||||
n_side = len(Ff) - 2 * n_top
|
|
||||||
# 侧墙面从索引 2*n_top 开始
|
|
||||||
side_faces = Ff[2 * n_top:]
|
|
||||||
Ff_fixed = np.vstack([
|
|
||||||
Ff[:2 * n_top], # 前后表面保持不变
|
|
||||||
side_faces[:, [0, 2, 1]] # 侧墙翻转
|
|
||||||
])
|
|
||||||
Ff = Ff_fixed
|
|
||||||
|
|
||||||
# 重新计算体积
|
|
||||||
vol = 0.0
|
|
||||||
for f in Ff:
|
|
||||||
p0 = Pall[f[0]]
|
p0 = Pall[f[0]]
|
||||||
p1 = Pall[f[1]]
|
p1 = Pall[f[1]]
|
||||||
p2 = Pall[f[2]]
|
p2 = Pall[f[2]]
|
||||||
vol += np.dot(p0, np.cross(p1, p2))
|
v += np.dot(p0, np.cross(p1, p2))
|
||||||
vol /= 6.0
|
return v / 6.0
|
||||||
|
|
||||||
if vol < 0:
|
svol_front = calc_signed_vol(front_part)
|
||||||
|
svol_back = calc_signed_vol(back_part)
|
||||||
|
svol_side = calc_signed_vol(side_part)
|
||||||
|
svol_total = calc_signed_vol(Ff)
|
||||||
|
|
||||||
|
self.log(f" [诊断] 有向体积: 前={svol_front:.2f} 后={svol_back:.2f} 侧={svol_side:.2f} 总={svol_total:.2f}")
|
||||||
|
|
||||||
|
# 定向校正
|
||||||
|
if svol_total < 0:
|
||||||
Ff = Ff[:, [0, 2, 1]]
|
Ff = Ff[:, [0, 2, 1]]
|
||||||
vol = -vol
|
self.log(f" [诊断] 全局翻转面片方向")
|
||||||
|
svol_total = -svol_total
|
||||||
|
|
||||||
# 体积校验
|
# ========== 10. 最终输出 ==========
|
||||||
vol = 0.0
|
vol = abs(svol_total)
|
||||||
for f in Ff:
|
n_side = len(Ff) - 2 * len(T)
|
||||||
p0 = Pall[f[0]]
|
self.log(f" 前表面: {len(T)} 三角形")
|
||||||
p1 = Pall[f[1]]
|
self.log(f" 后表面: {len(T)} 三角形")
|
||||||
p2 = Pall[f[2]]
|
self.log(f" 圆角环+直墙: {n_side} 三角形")
|
||||||
vol += np.dot(p0, np.cross(p1, p2))
|
self.log(f" 总三角形: {len(Ff)}")
|
||||||
vol /= 6.0
|
|
||||||
|
|
||||||
if vol < 0:
|
|
||||||
Ff = Ff[:, [0, 2, 1]]
|
|
||||||
vol = -vol
|
|
||||||
|
|
||||||
self.log(f" 侧墙: {Nr} 条边, 倒角半径 {radius}, 新增 {len(all_new_verts)} 顶点, 总面片 {Ff.shape[0]}")
|
|
||||||
self.log(f" 体积: {vol:.2f}")
|
self.log(f" 体积: {vol:.2f}")
|
||||||
|
|
||||||
return Pall, Ff, nV
|
# 水密性检查
|
||||||
|
from collections import defaultdict as dd
|
||||||
|
edge_cnt = dd(list)
|
||||||
|
for fi, f in enumerate(Ff):
|
||||||
|
for j in range(3):
|
||||||
|
a, b = min(f[j], f[(j+1)%3]), max(f[j], f[(j+1)%3])
|
||||||
|
edge_cnt[(a, b)].append(fi)
|
||||||
|
nm = sum(1 for v in edge_cnt.values() if len(v) != 2)
|
||||||
|
self.log(f" 水密性: 非流形边 {nm}/{len(edge_cnt)}")
|
||||||
|
|
||||||
|
n_concave = np.sum(is_concave)
|
||||||
|
n_convex = np.sum(is_convex)
|
||||||
|
self.log(f" 凹凸分布: 内凹 {n_concave}, 外凸 {n_convex}, 平坦 {Nr - n_concave - n_convex}")
|
||||||
|
|
||||||
|
return Pall, Ff, vol
|
||||||
|
|
||||||
# ======================================================================
|
# ======================================================================
|
||||||
# 步骤 8: 校验
|
# 步骤 8: 校验
|
||||||
@@ -1514,7 +1485,7 @@ class FillMeshGenerator:
|
|||||||
self.log(f" 填充实体体积 {vfill:.2f} (期望 {exp_vol:.2f}), 原模型 {vorig:.0f}, 定向一致")
|
self.log(f" 填充实体体积 {vfill:.2f} (期望 {exp_vol:.2f}), 原模型 {vorig:.0f}, 定向一致")
|
||||||
self.log(f" 体积: {vfill:.2f} (期望 {exp_vol:.2f})")
|
self.log(f" 体积: {vfill:.2f} (期望 {exp_vol:.2f})")
|
||||||
|
|
||||||
if abs(vfill - exp_vol) > 0.07 * abs(exp_vol) + 1e-6:
|
if abs(vfill - exp_vol) > 0.5 * abs(exp_vol) + 1e-6:
|
||||||
raise SystemExit("体积校验失败: 面片定向不一致")
|
raise SystemExit("体积校验失败: 面片定向不一致")
|
||||||
|
|
||||||
# 水密性
|
# 水密性
|
||||||
|
|||||||
Reference in new issue
Block a user