A Systematic Review of Additive Manufacturing Solutions Using Machine Learning, Internet of Things, Big Data, Digital Twins and Blockchain Technologies: A Technological Perspective Towards Sustainability

Abstract

New manufacturing expertise, along with user expectations for gradually modified products and facilities, is creating changes in manufacturing scale and distribution. Standardization is essential for every industrial manufactured sector that delivers goods to consumers. Digital manufacturing (DM) is a vital component in the scheduling of all knowledge-based manufacturing. Additive Manufacturing (AM) is recognized as a useful technique in the area of sustainable development goals (SDGs). Modern Development techniques are inspected as a tool for the practices that are being adopted. Additive Manufacturing (AM) was introduced as an advanced technology that includes a new era of complicated machinery and operating systems. Cloud manufacturing framework makes it much easier to gain access to a variety of AM resources while investing as little as possible. This paper contributes an overview of used technologies advancement in the era of Additive manufacturing such as IoT, Big Data, ML, Digital twins, and Blockchain, and their contribution to Industry 4.0 for better and effective design, development, and production while at the same time providing a richer and ethical environment.

Graphical Abstract