To facilitate the transfer, storage and manipulation of intricate parts’ geometry whose fabrication has been made possible thanks to the rise of Additive Manufacturing (AM) technologies, an encoding framework reducing the resulting file size has been developed. This approach leverages the fact that many AM parts are presenting repetition patterns, by encoding the repetition of similar geometry chunks. The decomposition of the part into chunks is a complex optimization problem, whose identification as a Weighted Exact Cover (WEC) problem allowed to develop a new heuristic algorithm dedicated to its fast resolution in linear time $O\left(n\right)$. The encoding strategy is implemented through a variation of the AMF file standard (for quick adoption of the format by existing software), and also through a new ad-hoc hybrid file format. To demonstrate the efficiency of the approach, the encryption of lattice and support structures through these two encoding strategies are compared to the results of several state-of-the-art encoding approaches. The way this data weight lightening strategy preserves the overall accuracy is discussed while considering different floating points encoding precisions with respect to the AM process requirements. This comparison exhibits file size reductions up to -84% in comparison with file sizes generated by state-of-the-art approaches. Not only the proposed repetition pattern encoding framework allows file size reductions, but it could also be exploited to optimize and speed-up some steps of the Product Development Process (PDP), including process planning phases.

为了简化复杂零件的几何形状的传​​输，存储和操作，这归功于增材制造（AM）技术的兴起，使得减少了文件大小的编码框架得到了发展。这种方法通过对相似几何块的重复进行编码来利用许多AM部件呈现重复模式这一事实。将零件分解为大块是一个复杂的优化问题，通过将其识别为加权精确覆盖（WEC）问题，可以开发出一种新的启发式算法，专门用于线性时间的快速解析$Ø（ñ）$。编码策略是通过AMF文件标准的变体（现有软件快速采用该格式）以及新的即席混合文件格式来实现的。为了证明该方法的有效性，将通过这两种编码策略对格网和支撑结构的加密与几种最新编码方法的结果进行了比较。讨论了此数据权重减轻策略保留总体准确性的方式，同时考虑了针对AM过程要求的不同浮点编码精度。与通过最新方法生成的文件大小相比，该比较显示文件大小最多可减少-84％。提议的重复模式编码框架不仅可以减小文件大小，