Matthew Riddle
Argonne National Laboratory
17 Papers
5 Citations
Matthew Riddle is an academic researcher from Argonne National Laboratory. The author has contributed to research in topics: Supply chain & Greenhouse gas. The author has an hindex of 7, co-authored 14 publications.
Chat about Author
Papers
Energy and emissions saving potential of additive manufacturing: the case of lightweight aircraft components
Runze Huang,Matthew Riddle,Diane J. Graziano,Joshua A. Warren,Sujit Das,Sachin U Nimbalkar,Joe Cresko,Eric Masanet +7 more
TL;DR: In this paper, the authors presented a system modeling framework for additive manufacturing in the U.S. aircraft industry, with integrated engineering criteria, life-cycle environmental data, aircraft fleet stock and fuel use models under different AM adoption scenarios.
697
Environmental and Economic Implications of Distributed Additive Manufacturing: The Case of Injection Mold Tooling
Runze Huang,Matthew Riddle,Diane J. Graziano,Sujit Das,Sachin U Nimbalkar,Joe Cresko,Eric Masanet +6 more
TL;DR: In this paper, a system modeling framework is developed, with integrations of lead-time analysis, life cycle inventory analysis, and LCC model, and scenarios considering design differences, supply-chain options, productions, maintenance, and AM technological developments.
87
Rare Earth Permanent Magnets - Supply Chain Deep Dive Assessment
Braeton J. Smith,Matthew Riddle,Matthew F. Earlam,Chukwunwike Ogbonnia Iloeje,David Diamond +4 more
- 24 Feb 2022
TL;DR: The report "America's Strategy to Secure the Supply Chain for a Robust Clean Energy Transition" as discussed by the authors focuses on the supply chain for rare earth permanent magnets, specifically sintered neodymium-iron-boron (NdFeB) magnets.
33
Understanding Variability To Reduce the Energy and GHG Footprints of U.S. Ethylene Production.
TL;DR: A systematic, first-principles model of the cradle-to-gate ethylene production system was developed and applied and the opportunities with the greatest leverage for reducing the energy and GHG footprints are presented.
25
A Framework for Quantifying Energy and Productivity Benefits of Smart Manufacturing Technologies
Sarang D. Supekar,Diane J. Graziano,Matthew Riddle,Sachin U Nimbalkar,Sujit Das,Arman Shehabi,Joe Cresko +6 more
TL;DR: A strategic analysis framework to estimate cost-effective improvements in energy efficiency and productivity that may be realized through smart manufacturing and is discussed in the context of recent efforts in craft breweries to use smart manufacturing for reducing energy intensity and increasing product yield.
25