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Daniel Elduque   Dr.  University Educator/Researcher 
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Daniel Elduque published an article in September 2018.
Research Keywords & Expertise
0 A
0 Life Cycle Assessment
0 Recycling
0 environmental impact
0 Induction Hob
Top co-authors
Carlos Javierre

40 shared publications

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

Carmelo Pina

13 shared publications

BSH Electrodomésticos España S. A., Avda. de la Industria, 49, 50016 Zaragoza, Spain

Ana Elduque

8 shared publications

BSH Electrodomésticos España S. A., Avda. de la Industria, 49, 50016 Zaragoza, Spain

Patricia Gómez

4 shared publications

BSH Electrodomésticos España S. A., Avda. de la Industria, 49, 50016 Zaragoza, Spain

21
Publications
109
Reads
11
Downloads
30
Citations
Publication Record
Distribution of Articles published per year 
(2013 - 2018)
Total number of journals
published in
 
12
 
Publications See all
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 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 0 Reads 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 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 2 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
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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.
CONFERENCE-ARTICLE 21 Reads 0 Citations <strong>Empirical Model to estimate the Electricity Consumption of the Polymer Material Injection Molding Manufacturing ... Ana Elduque, Daniel Elduque, Isabel Clavería, Carlos Javierr... Published: 23 May 2018
The 3rd International Electronic Conference on Materials Sciences, doi: 10.3390/ecms2018-05260
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Polymer injection moulding is one of the most used manufacturing processes in the industry. Material and electricity consumption are two of the main points when analyzing the cost and also the environmental impact of this manufacturing processes. Reducing both cost and environmental impact of materials and manufacturing process is one of the key challenges that material science and engineering face today to be more sustainable. In the case of the polymer injection moulding manufacturing process, reducing its electricity consumption is key to achieve a more sustainable manufacturing process. However, a lack of data regarding real electrical consumption values, and how to estimate them has been found. In this paper, a model to estimate the electric consumption of the injectin molding manufacturing process is proposed. This consumption estimation is obtained by means of a parametric model which was created after monitoring the electricity consumption of a wide range of injected parts. By applying this empirical model a better assessment of the electricity consumption, and also the environmental impact of the process can be achieved. This model can be of great interest for manufacturing process engineers, Life Cycle Assessment practitioners and also the industry, as it provides a method to estimate the electricity consumption and cost of an injected part depending on its characteristics and the selected injection machine.

CONFERENCE-ARTICLE 75 Reads 0 Citations <strong>Influence of the Composition on the Environmental Impact of Soft Ferrites</strong> Patricia Gómez, Daniel Elduque, Carmelo Pina, Carlos Javierr... Published: 17 May 2018
The 3rd International Electronic Conference on Materials Sciences, doi: 10.3390/ecms2018-05232
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The aim of this paper is to better understand the influence of the composition on the environmental impact of soft ferrite magnetic materials. Magnetically soft ferrites are ceramic homogeneous materials that have a cubic crystal structure. Soft ferrites have low coercitivity with a high resistivity, low losses and high permeability, and are commonly used in high frequency applications. A life cycle assessment (LCA) has been carried out analyzing EcoInvent average ferrite dataset and updating it with material compositions of manganese-zinc (MnZn) ferrites, one of the major categories of soft ferrites. MnZn ferrites use iron oxide as their main component adding manganese oxide (17%-24.5% in weight) and zinc oxide (6.5%-14% in weight). Depending on their composition, their magnetical properties change (such as permeability, losses, Curie temperature…). The influence of the material composition has been assessed, obtaining more knowledge of their environmental impact. The main environmental problem that generates the use of soft ferrites, under ReCiPe methodology, is in the metal depletion category. Ferrites use in their composition metals that are scarce, such as Manganese. Manganese is included in the 2017 EU strategic materials list due to its high economic importance in the EU industry, and also its supply risk. The software used to develop the LCA model was SimaPro 8.4, with EcoInvent v3.4 life cycle inventory database. Both are currently the most used tools to evaluate environmental impact in the LCA scientific community. By means of the performed LCA, environmental impact values under ReCiPe methodology will be obtained to assess the influence of the composition on the overall impact. This analysis shows the large influence of material composition on the environmental impact of ferrites, allowing engineers and material scientist to choose between different ones taking also into account its sustainability.

Article 0 Reads 0 Citations A comparative study of hyperelastic constitutive models for an automotive shaft seal material Luis Gracia, Carlos Javierre, Elena Ibarz, Daniel Elduque, R... Published: 01 January 2018
International Journal of Service and Computing Oriented Manufacturing, doi: 10.1504/ijscom.2018.10012689
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