Lossless compression for laser additive manufacturing using continuous rows compressed storage

Author:

Gao Mingyu,Xu Jinghua,Zhang Shuyou,Tan Jianrong

Abstract

PurposeThe layer section of laser additive manufacturing (AM) can be rasterized. Subsequently, the rasterized layer section can be converted into sparse matrix. However, large storage space is occupied due to the high manufacturing resolution. In order to reduce the storage space, the purpose of this research is to propose a lossless compression method to compress the sparse matrix.Design/methodology/approachA lossless compression method for additive manufacturing is proposed. According to manifold and irregularity feature of the object of laser AM, a lossless compression method called continuous rows compressed storage (CRCS) based on continuous rows is innovatively proposed. In particular, the better direction strategy of compression method is selected based on the side-projected area per layer.FindingsTake human teeth as an example, compared with compressed sparse row (CSR), the CRCS has advantage up to 98.88% in storage space. Compared with block compressed sparse row (BCSR), the CRCS has advantage up to 60.04% in storage space.Originality/valueThe proposed CRCS could be employed to compress the sparse matrixes of rasterized layer sections of laser AM. Compared with common lossless compression method of sparse matrix, the compression ratio of CRCS is greater. CRCS is propitious to reduce the storage space usage, thereby improving transmission efficiency.

Publisher

Emerald

Reference7 articles.

1. 316L stainless steel mechanical and tribological behavior — a comparison between selective laser melting, hot pressing and conventional casting;Additive Manufacturing,2017

2. Sparse matrix multiplication: the distributed block-compressed sparse row library;Parallel Computing,2014

3. 3D printing of PBAT-based composites filled with agro-wastes via selective laser sintering;European Polymer Journal,2024

4. Grayscale digital light processing 3D printing for highly functionally graded materials;Science Advances,2019

5. Support diminution design for layered manufacturingof manifold surface based on variable orientation tracking;3D Printing and Additive Manufacturing,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3