Task-driven data fusion for additive manufacturing: Framework, approaches, and case studies

Author:

Hu Fu,Liu Ying,Li Yixin,Ma Shuai,Qin Jian,Song Jun,Feng Qixiang,Sun Xianfang,Tang Qian

Publisher

Elsevier BV

Subject

Information Systems and Management,Industrial and Manufacturing Engineering

Reference73 articles.

1. ISO/PRF, Additive manufacturing – General principles – Part 1: terminology, 17296-1 2015.

2. ISO/ASTM, Additive manufacturing — General principles — Terminology, 52900, 2015.

3. Machine learning based continuous knowledge engineering for additive manufacturing;Ko,2019

4. Intelligent knowledge-based system to improve injection molding process;Khosravani;J. Ind. Inf. Integr.,2022

5. A novel temporal and spatial panorama stream processing engine on IoT applications;Yin;J. Ind. Inf. Integr.,2020

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