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Daniel Elduque   Dr.  University Educator/Researcher 
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Daniel Elduque published an article in March 2019.
Research Keywords & Expertise
0 A
0 Life Cycle Assessment
0 Recycling
0 environmental impact
0 Induction Hob
Top co-authors See all

38 shared publications

Fundación AITIIP, Pol. Ind. Empresarium, C/ Romero 12, 50720 Zaragoza, Spain

Carlos Javierre

36 shared publications

2i+AITIIP, Department of Mechanical Engineering, EINA; University of Zaragoza, C/María de Luna, 3, 50018 Zaragoza, Spain

Elena Ibarz

26 shared publications

3i3A, Department of Mechanical Engineering, University of Zaragoza, C/María de Luna, 3, 50018 Zaragoza, Spain;(E.I.);(L.G.)

Carmelo Pina

13 shared publications

BSH Electrodomésticos España S. A., Avda. de la Industria, 49, 50016 Zaragoza, Spain;(P.G.);(C.P.)

I. Clavería

12 shared publications

Mechanical Department, University of Zaragoza EINA, Maria de Luna 3, 50018 Zaragoza, Spain

Publication Record
Distribution of Articles published per year 
(2013 - 2019)
Total number of journals
published in
Publications See all
Article 1 Read 0 Citations Influence of the Material Composition on the Environmental Impact of Ceramic Glasses Patricia Gómez, Daniel Elduque, Isabel Clavería, Carmelo Pin... Published: 27 March 2019
International Journal of Precision Engineering and Manufacturing-Green Technology, doi: 10.1007/s40684-019-00096-3
DOI See at publisher website
Article 4 Reads 0 Citations Analysis of self-lubrication enhancement via PA66 strategies: Texturing and nano-reinforcement with ZrO2 and graphene Isabel Clavería, Daniel Elduque, Aleida Lostalé, Ángel Ferná... Published: 01 March 2019
Tribology International, doi: 10.1016/j.triboint.2018.10.044
DOI See at publisher website
Article 0 Reads 0 Citations Influence of the Composition on the Environmental Impact of Soft Ferrites Patricia Gómez, Daniel Elduque, Carmelo Pina, Carlos Javierr... Published: 20 September 2018
Materials, doi: 10.3390/ma11101789
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
The aim of this paper is to analyze the influence of the composition on the environmental impact of the two main types of soft ferrites, allowing scientists and engineers to compare them based not only on cost and properties, but also on an environmental point of view. Iron oxides are the basis of soft ferrites, but these ferrites have a wide range of compositions, using materials such as manganese or nickel, which affect their magnetic properties, but also modify the environmental impact. A Life Cycle Assessment has been carried out for manganese‒zinc (MnZn) and nickel‒zinc (NiZn) soft ferrites, with a Monte Carlo approach to assess multiple compositions. The LCA model was developed with SimaPro 8.4, using the EcoInvent v3.4 life cycle inventory database. Environmental impact values were calculated under the ReCiPe and Carbon Footprint methodologies, obtaining a broad variety of results depending on the composition. The results were also significantly different from the standard EcoInvent ferrite. For the analyzed soft ferrites, the presence of manganese or nickel is a key factor from an environmental perspective, as these materials involve high environmental impacts, and their supply risk has increased during recent years, making them a concern for European manufacturers.
Article 1 Read 0 Citations Electricity Consumption Estimation of the Polymer Material Injection-Molding Manufacturing Process: Empirical Model and ... Ana Elduque, Daniel Elduque, Carmelo Pina, Isabel Clavería, ... Published: 16 September 2018
Materials, doi: 10.3390/ma11091740
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Polymer injection-molding is one of the most used manufacturing processes for the production of plastic products. Its electricity consumption highly influences its cost as well as its environmental impact. Reducing these factors is one of the challenges that material science and production engineering face today. However, there is currently a lack of data regarding electricity consumption values for injection-molding, which leads to significant errors due to the inherent high variability of injection-molding and its configurations. In this paper, an empirical model is proposed to better estimate the electricity consumption and the environmental impact of the injection-molding process. This empirical model was created after measuring the electricity consumption of a wide range of parts. It provides a method to estimate both electricity consumption and environmental impact, taking into account characteristics of both the molded parts and the molding machine. A case study of an induction cooktop housing is presented, showing adequate accuracy of the empirical model and the importance of proper machine selection to reduce cost, electricity consumption, and environmental impact.
Article 3 Reads 0 Citations Visco-Hyperelastic Model with Damage for Simulating Cyclic Thermoplastic Elastomers Behavior Applied to an Industrial Co... Rafael Tobajas, Daniel Elduque, Elena Ibarz, Carlos Javierre... Published: 15 June 2018
Polymers, doi: 10.3390/polym10060668
DOI See at publisher website ABS Show/hide abstract
In this work a nonlinear phenomenological visco-hyperelastic model including damage consideration is developed to simulate the behavior of Santoprene 101-73 material. This type of elastomeric material is widely used in the automotive and aeronautic sectors, as it has multiple advantages. However, there are still challenges in properly analyzing the mechanical phenomena that these materials exhibit. To simulate this kind of material a lot of theories have been exposed, but none of them have been endorsed unanimously. In this paper, a new model is presented based on the literature, and on experimental data. The test samples were extracted from an air intake duct component of an automotive engine. Inelastic phenomena such as hyperelasticity, viscoelasticity and damage are considered singularly in this model, thus modifying and improving some relevant models found in the literature. Optimization algorithms were used to find out the model parameter values that lead to the best fit of the experimental curves from the tests. An adequate fitting was obtained for the experimental results of a cyclic uniaxial loading of Santoprene 101-73.
Article 0 Reads 0 Citations A comparative study of hyperelastic constitutive models for an automotive shaft seal material Rafael Tobajas, Daniel Elduque, Carlos Javierre, Elena Ibarz... Published: 01 January 2018
International Journal of Service and Computing Oriented Manufacturing, doi: 10.1504/ijscom.2018.091614
DOI See at publisher website