To read this content please select one of the options below:

Comprehensive review of additive manufacturing lifecycle optimization in a cloud environment: from distributed manufacturing to postprocessing

Xiaomin Xiao (State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China)
Guang Fu (School of Mechanical Engineering, Guizhou University, Guiyang, China and State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China)
Pengpeng Song (State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China)
Qingguo Peng (School of Mechanical Engineering, Guizhou University, Guiyang, China)
Naihui He (Department of Engineering, Faculty of Environment, Science and Economy, University of Exeter, Exeter, UK)
Taiqian Mo (School of Mechanical Engineering, Guizhou University, Guiyang, China)
Zhengwen Zhang (School of Mechanical Engineering, Guizhou University, Guiyang, China)

Rapid Prototyping Journal

ISSN: 1355-2546

Article publication date: 6 November 2024

52

Abstract

Purpose

This paper aims to offer a comprehensive review and categorization of production optimization throughout the additive manufacturing lifecycle in a cloud environment. It aims to provide a structured approach to identifying and addressing issues.

Design/methodology/approach

This paper systematically reviews 75 technical papers on cloud manufacturing, nesting, scheduling and postprocessing in additive manufacturing. This includes a detailed discussion of the key issues.

Findings

This paper introduces a production framework for the entire lifecycle of additive manufacturing in a cloud environment. This framework aids in problem identification and decision-making based on the process flow. It provides an integrated view from cloud to postprocessing, examining decision interdependencies and enhancing problem identification and organization.

Originality/value

To the best of the authors’ knowledge, this paper is the first to review the complete lifecycle of additive manufacturing, emphasizing the often-overlooked aspects of postprocessing and cloud manufacturing. It offers a comprehensive study of lifecycle optimization challenges and suggests ways to streamline the production process.

Keywords

Acknowledgements

This work was supported by Guizhou University Fund Project, China ([2024]14, [2021]87 and [2024]03), Guizhou Province Science and Technology Foundation, China (BQW[2024]011 and ZK[2023]078).

Citation

Xiao, X., Fu, G., Song, P., Peng, Q., He, N., Mo, T. and Zhang, Z. (2024), "Comprehensive review of additive manufacturing lifecycle optimization in a cloud environment: from distributed manufacturing to postprocessing", Rapid Prototyping Journal, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/RPJ-04-2024-0182

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

Related articles