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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
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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.
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<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.
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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 P...
Published: 01 April 2016
Polymer Testing,
doi: 10.1016/j.polymertesting.2015.12.008
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Article
4
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Environmental assessment tool to analyse the presence of critical and valuable raw materials
Judith Sarasa, Carlos Javierre, Isabel Clavería, Daniel Eldu...
Published: 01 January 2016
International Journal of Service and Computing Oriented Manufacturing,
doi: 10.1504/IJSCOM.2016.10003151
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Article
5
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Environmental assessment tool to analyse the presence of critical and valuable raw materials
Patricia Gómez Bachiller, Carmelo Pina, Daniel Elduque, Isab...
Published: 01 January 2016
International Journal of Service and Computing Oriented Manufacturing,
doi: 10.1504/IJSCOM.2016.082238
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Methodology for clamping load measurement of locking systems based on white light digitalization
Carlos Javierre, Isabel Clavería, Jorge Santolaria, Daniel E...
Published: 01 September 2015
Measurement,
doi: 10.1016/j.measurement.2015.05.042
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