This paper presents a tolerance-based adaptive slicing (TAS) method to find an optimal trade-off between the manufacturing time and the print quality for the region of mechanical parts with geometric dimensioning and tolerancing (GD&T) requirements. Compared with other traditional adaptive slicing algorithms, the cylindricity and flatness are chosen as the form metric which can improve the part surface quality and assembly performance for functionalized additive manufacturing. For different characteristics in assembly, especially refers to holes and shafts, maximum inscribed cylinder (MIC) and minimum circumscribed cylinder (MCC) are applied respectively to obtain a more precise axis position. An improved particle swarm optimization (PSO) is proposed to optimize the layer amount under given requirements. Furthermore, the build time considering inside, surface, and support characteristics is optimized with the optimal layer amount to reduce the expensive computation. The performance of our approach is demonstrated by experimental tests on the typical example and the build time can be reduced by 26.97% than the least layer amount uniform slicing which meets the cylindricity error requirement. Several physical experiments were conducted to prove the effectiveness of the proposed algorithm using optical profiler.

本文提出了一种基于公差的自适应切片 (TAS) 方法，以找到具有几何尺寸和公差 (GD&T) 要求的机械零件区域的制造时间和打印质量之间的最佳权衡。与其他传统自适应切片算法相比，选择圆柱度和平面度作为形状度量，可以提高功能化增材制造的零件表面质量和装配性能。针对装配中的不同特性，尤其是孔和轴，分别采用最大内接圆柱（MIC）和最小外切圆柱（MCC），以获得更精确的轴位置。提出了一种改进的粒子群优化（PSO）来优化给定要求下的层数。此外，考虑内部、表面和支撑特性的构建时间通过最佳层数进行优化，以减少昂贵的计算。通过对典型示例的实验测试证明了我们方法的性能，并且构建时间比满足圆柱度误差要求的最小层数均匀切片减少了 26.97%。使用光学轮廓仪进行了多次物理实验以证明所提出算法的有效性。