Sensors to Control Processing and Improve Lifetime and Performance for Sustainable Manufacturing

Robert X. Gao, Peng Wang

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations


Heightened awareness of environmental burdens related to waste(s) generation during manufacturing calls for an effective transition of manufacturing from the traditional to a more intelligent and sustainable mode of operation. This article highlights techniques to realize sustainable manufacturing, from the view point of reducing energy consumption and solid waste generation by means of advanced sensing. Three representative manufacturing processes, polymer injection molding, sheet metal stamping, and electrically assisted microrolling, are chosen to demonstrate how process-embedded sensing and data analytics can help quantify the state of process and machine in real-time to provide feedback for process control, which in turn improves manufacturing efficiency and reduce scrap rate.

Original languageEnglish
Title of host publicationEncyclopedia of Sustainable Technologies
Number of pages16
ISBN (Electronic)9780128046777
StatePublished - Jul 4 2017

Bibliographical note

Publisher Copyright:
© 2017 Elsevier Inc. All rights reserved.


  • Aste reduction
  • Energy efficiency
  • Life cycle assessment
  • Manufacturing process monitoring
  • Microrolling
  • Part quality
  • Polymer injection molding
  • Sensing
  • Sheet metal stamping
  • Sustainable manufacturing
  • Tool wear

ASJC Scopus subject areas

  • General Environmental Science


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