# A big data-driven framework for sustainable and smart additive manufacturing

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-big-data-driven-framework-for-sustainable-and-smart-additive-manufacturing/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Arfan Majeed,Yingfeng Zhang,Shan Ren,Jingxiang Lv,Tao Peng,Saad Waqar,Enhuai Yin |
| Citations | 305 |
| DOI | 10.1016/j.rcim.2020.102026 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3045571868 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Tao Peng](https://scholariq.org/researchers/tao-peng/)

## Paper journal

- [Robotics and Computer-Integrated Manufacturing](https://scholariq.org/journals/robotics-and-computer-integrated-manufacturing/)

## Paper primary topic

- [Additive Manufacturing and 3D Printing Technologies](https://scholariq.org/topics/additive-manufacturing-and-3d-printing-technologies/)

## Paper topics

- [Additive Manufacturing and 3D Printing Technologies](https://scholariq.org/topics/additive-manufacturing-and-3d-printing-technologies/)
- [Additive Manufacturing Materials and Processes](https://scholariq.org/topics/additive-manufacturing-materials-and-processes/)
- [Digital Transformation in Industry](https://scholariq.org/topics/digital-transformation-in-industry/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.