A Sustainability-Based Expert System for Additive Manufacturing and CNC Machining

Josage Chathura Perera, Bhaskaran Gopalakrishnan, Prakash Singh Bisht, Subodh Chaudhari, Senthil Sundaramoorthy

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The objective of this research study is to develop a set of expert systems that can aid metal manufacturing facilities in selecting binder jetting, direct metal laser sintering, or CNC machining based on viable products, processes, system parameters, and inherent sustainability aspects. For the purposes of this study, cost-effectiveness, energy, and auxiliary material usage efficiency were considered the key indicators of manufacturing process sustainability. The expert systems were developed using the knowledge automation software Exsys Corvid®V6.1.3. The programs were verified by analyzing and comparing the sustainability impacts of binder jetting and CNC machining during the fabrication of a stainless steel 316L component. According to the results of this study, binder jetting is deemed to be characterized by more favorable indicators of sustainability in comparison to CNC machining, considering the fabrication of components feasible for each technology.

Original languageEnglish
Article number7770
JournalSensors (Switzerland)
Volume23
Issue number18
DOIs
StatePublished - Sep 2023

Funding

The authors declare that no specific funding was received for this research work.

Keywords

  • CNC machining
  • additive manufacturing
  • binder jetting
  • direct metal laser sintering
  • expert system
  • sustainability

Fingerprint

Dive into the research topics of 'A Sustainability-Based Expert System for Additive Manufacturing and CNC Machining'. Together they form a unique fingerprint.

Cite this