D
Daniel Elduque
Researcher at University of Zaragoza
Publications - 39
Citations - 363
Daniel Elduque is an academic researcher from University of Zaragoza. The author has contributed to research in topics: Life-cycle assessment & Environmental impact assessment. The author has an hindex of 10, co-authored 36 publications receiving 248 citations.
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Life cycle assessment of a domestic induction hob: electronic boards
TL;DR: In this paper, a Life Cycle Assessment (LCA) has been performed, defining the functional unit as the electronic boards used in an induction cooktop with 4 hobs and 7.2 kW of nominal power.
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Environmental impact analysis of the injection molding process: analysis of the processing of high-density polyethylene parts
TL;DR: In this article, a review of how EcoInvent's Life Cycle Inventory database characterizes this process has been conducted, and a new methodology based on that analysis has been carried out.
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LCI Databases Sensitivity Analysis of the Environmental Impact of the Injection Molding Process
TL;DR: In this article, a sensitivity analysis of the environmental impact of the injection molding process has been carried out using the EcoInvent database inventory for injection moulding, and the data from which this database is created, have been studied.
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The influence of environmental conditions on the dimensional stability of components injected with PA6 and PA66
Isabel Clavería,Daniel Elduque,Jorge Santolaria,Carmelo Pina,Carlos Javierre,Ángel Fernández +5 more
TL;DR: In this article, the authors analyzed the influence of case-based environmental conditions, including extreme hydrothermal conditions, on the dimensional stability of a component made from different polyamides throughout the component's working life.
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Influence of material and injection molding machine’s selection on the electricity consumption and environmental impact of the injection molding process: An experimental approach
TL;DR: Results showed significant variations depending on the injected thermoplastic material and the type of injection molding machine (IMM) suggesting that IMM selection has a high relevance for the efficiency, cost and environmental impact of the process.