Comparison of Prognosis Methods for the Energy Consumption of Machines and Further Development with Regard to Increasing Data Availability

作者: Thiemo Müller , Julian Stefan Tauschek , Johannes Glasschröder , Gunther Reinhart

DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.856.64

关键词:

摘要: An increasing number of companies establish energy management systems for continuous improvement in their efficiency and this intensify monitoring current consumption. These data can be used to gain further information about the production find potentials increase its efficiency. In procurement process machinery equipment or planning phase building services, demand is rarely available, though it would valuable an early inclusion these processes. Therefore paper discusses different forecast methods consumption evaluates particular universal applicability, effort accuracy by analyzing them through example a packaging machine. addition proposes usage energy-related machinery, which automatically acquired prognosticating as well possible distribution approach information. own method presented, shall combined with dominant parameters product, machine environmental conditions. For concept was taken into account that generated shared has abstracted way no critical secrets company are revealed.

参考文章(19)
Joshua M. Chien, David Dornfeld, Semi-empirical Modeling of the Energy Consumed during the Injection Molding Process Re-engineering Manufacturing for Sustainabilit. pp. 297- 302 ,(2013) , 10.1007/978-981-4451-48-2_49
Eberhard Abele, Steffen Braun, Philipp Schraml, Holistic Simulation Environment for Energy Consumption Prediction of Machine Tools Procedia CIRP. ,vol. 29, pp. 251- 256 ,(2015) , 10.1016/J.PROCIR.2015.02.059
Mohammed Sarwar, Martin Persson, Håkan Hellbergh, Julfikar Haider, Measurement of specific cutting energy for evaluating the efficiency of bandsawing different workpiece materials International Journal of Machine Tools & Manufacture. ,vol. 49, pp. 958- 965 ,(2009) , 10.1016/J.IJMACHTOOLS.2009.06.008
A. Pramanik, L.C. Zhang, J.A. Arsecularatne, Prediction of cutting forces in machining of Metal Matrix Composites International Journal of Machine Tools & Manufacture. ,vol. 46, pp. 1795- 1803 ,(2006) , 10.1016/J.IJMACHTOOLS.2005.11.012
Hae-Sung Yoon, Jang-Yeob Lee, Min-Soo Kim, Sung-Hoon Ahn, Empirical power-consumption model for material removal in three-axis milling Journal of Cleaner Production. ,vol. 78, pp. 54- 62 ,(2014) , 10.1016/J.JCLEPRO.2014.03.061
Jatinder Madan, Mahesh Mani, Jae Hyun Lee, Kevin W. Lyons, Energy performance evaluation and improvement of unit-manufacturing processes: injection molding case study Journal of Cleaner Production. ,vol. 105, pp. 157- 170 ,(2015) , 10.1016/J.JCLEPRO.2014.09.060
Seung-Jun Shin, Jungyub Woo, Sudarsan Rachuri, Predictive Analytics Model for Power Consumption in Manufacturing Procedia CIRP. ,vol. 15, pp. 153- 158 ,(2014) , 10.1016/J.PROCIR.2014.06.036
Vanessa Schmidt, Markus Graßl, Gunther Reinhart, Contribution for the Life Cycle Oriented Evaluation of Costs and Resource Efficiency of Production Machines in Procurement Applied Mechanics and Materials. ,vol. 655, pp. 9- 14 ,(2014) , 10.4028/WWW.SCIENTIFIC.NET/AMM.655.9