Name
Title | ||
|---|---|---|
A discrete-event simulation approach to predict power consumption in machining processes. |
Abstract | ||
|---|---|---|
Whereas in the past the sustainable use of resources and the reduction of waste have mainly been looked at from an ecological point of view, resource efficiency recently becomes more and more an issue of cost saving as well. In manufacturing engineering especially the reduction of power consumption of machine tools and production facilities is in the focus of industry, politics and research. Before power consumption in machining processes can be reduced it is necessary to quantify the amount of energy needed, to identify energy consumers and to determine the available degrees of freedom for an optimization. Simulation can be an adequate alternative to the measurement of power consumption during machining operation. However, many of the available simulation methods are not suitable for this task. This paper describes an approach based on the discrete-event simulation, which is known mainly from the simulation of logistical systems. It has been adapted to model machining operations and to generate workpiece-specific power consumption profiles and energy footprints. Two-axis turning in a CNC machining centre is shown exemplary. The aim is to provide a basis for further applications such as the simulation, comparison and optimization of power consumption in process chains and production systems in combination with logistical models. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/s11740-011-0333-y | Production Engineering |
Keywords | Field | DocType |
Machining, Simulation, Power consumption | Industrial engineering,Numerical control,Work in process,Resource efficiency,Mechanical engineering,Manufacturing engineering,Machining,Engineering,Sustainability,Power consumption,Discrete event simulation,Machine tool | Journal |
Volume | Issue | ISSN |
5 | 5 | 1863-7353 |
Citations | PageRank | References |
2 | 0.44 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roland Larek | 1 | 6 | 0.90 |
| Ekkard Brinksmeier | 2 | 12 | 5.44 |
| D. Meyer | 3 | 8 | 2.18 |
| Thorsten Pawletta | 4 | 34 | 15.33 |
| Olaf Hagendorf | 5 | 9 | 2.66 |