2011
DOI: 10.1007/s00170-011-3743-2
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Development of energy-saving optimization for the oval-edging oval pass design using genetic algorithm

Abstract: In the multi-pass rod rolling systems, where the final products are round bars with different sizes, ovaledging oval passes are widely employed as intermediate passes. This study attempts to present a generalized strategy to support the optimal design of oval-edging oval passes. A design system based on this strategy is developed to minimize power consumption, to reduce trials and errors in industry, as well as to improve the design efficiency and flexibility. A series of equations are established for geometri… Show more

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Cited by 13 publications
(6 citation statements)
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References 14 publications
(17 reference statements)
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“…Assuming that the compound motion is  around the X-axis and the rotation τ around the Y-axis, the D-H representation method is shown as follows. (6) The transformation matrix T of the motion is…”
Section:  mentioning
confidence: 99%
See 1 more Smart Citation
“…Assuming that the compound motion is  around the X-axis and the rotation τ around the Y-axis, the D-H representation method is shown as follows. (6) The transformation matrix T of the motion is…”
Section:  mentioning
confidence: 99%
“…Energy is considered to be critical in societal and industrial activities, especially in intelligent manufacturing and robotics [1]. As the energy consumption is a recent global concern in sustainable manufacturing, it should take the responsibility through a low energy cost approach to clean energy [2], a low carbon footprint approach based on low carbon emissions [3], a low-product environmental footprint approach to sustainable assessment [4][5], optimize model-driven energy efficiency improvement methods [6][7]. Current methods for low-energy could be basically classified into to increase energy efficiency and to reduce energy consumption in sustainable manufacturing.…”
Section: Introductionmentioning
confidence: 99%
“…It is commonly accepted that the acceleration of industrialization has been boosting the global demand on more economical and sustainable rolling operations, which consequently drives the innovation and improvement of RPD [4,7,8]. However, due to the non-linear and highly uncertain deformation behaviors of rolled materials, complex rolling contexts, as well as the complicated interactions between thermal and mechanical phenomena, rolling practices are usually difficult to be numerically modelled, analyzed and predicted [9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…Apart from theoretical models of manufacturing processes, there are also some interesting approaches that lead to process energy efficiency optimization through continuous trial and error loops (for which monitoring is a necessary part), such as genetic algorithms [21]. At the machine level, it is also very important that energy consumption is studied regarding the peripheral devices that actually consume a very important part of the energy [4,22].…”
Section: Introductionmentioning
confidence: 99%