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Mianehrow, Hanieh
Publications (1 of 1) Show all publications
Mianehrow, H. & Abbasian, A. (2017). Energy monitoring of plastic injection molding process running with hydraulic injection molding machines. Journal of Cleaner Production, 148, 804-810
Open this publication in new window or tab >>Energy monitoring of plastic injection molding process running with hydraulic injection molding machines
2017 (English)In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 148, p. 804-810Article in journal (Refereed) Published
Abstract [en]

With respect to the importance of energy consumption reduction in industrial plants, an attempt has been made to specify the most important parameters affecting energy consumption of plastic injection molding process as one of the most energy intensive processes in plastics industry. In this regard, the specific energy consumption of six hydraulic injection molding machines and the profile of their energy consumption over one cycle of injection molding process were measured to assess the effect of different machine related and process related parameters on energy consumption and realize energy saving opportunities in the injection molding process."Results showed that among all quantitative parameters, throughput and total cycle time, which are process related parameters, have the most important impact on the specific energy consumption of the process. Whereas, the most important effect of machine related parameters were found to be on the peak power of energy consumption, which gives an insight to industrial plants how to reduce the maximum electrical demand of the plant. In addition, it was proved that each hydraulic injection molding machine has a unique profile of energy consumption depending on the design of the machine and process, and then according to these profiles, three types of process designs were identified.

Place, publisher, year, edition, pages
ELSEVIER SCI LTD, 2017
Keywords
Injection molding machine, Specific energy consumption, Energy efficiency, Energy consumption profile, Process related parameter, Machine related parameter
National Category
Energy Engineering
Identifiers
urn:nbn:se:kth:diva-206274 (URN)10.1016/j.jclepro.2017.02.053 (DOI)000398425700076 ()2-s2.0-85014847983 (Scopus ID)
Note

QC 20170512

Available from: 2017-05-12 Created: 2017-05-12 Last updated: 2017-06-30Bibliographically approved
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