2019
DOI: 10.1186/s10033-019-0358-2
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Towards Energy Efficient Shape Rolling: Roll Pass Optimal Design and Case Studies

Abstract: Shape rolling is widely employed in the production of long workpieces with appropriate cross-section profiles for other industrial applications. In the development of shape rolling systems, roll pass design (RPD) plays an essential role on the quality control of products, service life of rolls, productivity of rolling systems, as well as energy consumption of rolling operations. This study attempts to establish a generic strategy based on hybrid modeling and an improved genetic algorithm, to support the optimi… Show more

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Cited by 2 publications
(1 citation statement)
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References 23 publications
(26 reference statements)
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“…Energy consumption [12]- [21] Carbon emission [16]- [18], [20]- [22] Material and/or tool waste [19], [21], [23] Economic Cost [17], [21], [22] Productivity [12]- [14], [20]- [22], [24] Quality [12]- [15], [19], [21], [23]- [26] Social Health and safety [18] Labor and workforce training [21] On the contrary, the a posteriori approach, firstly, brings the set of non-dominated solutions (which are optimal in the wide sense that no other solution in the considered search space, can improve one of the objectives without worsening, at least, another one), which is known as the Pareto front and, after that, allows choosing the most convenient alternative from these solutions [27]. Pareto-based techniques have become the most suitable choice for solving multi-objective optimization problems [28] and has been widely applied for practical manufacturing cases [29].…”
Section: Environmentalmentioning
confidence: 99%
“…Energy consumption [12]- [21] Carbon emission [16]- [18], [20]- [22] Material and/or tool waste [19], [21], [23] Economic Cost [17], [21], [22] Productivity [12]- [14], [20]- [22], [24] Quality [12]- [15], [19], [21], [23]- [26] Social Health and safety [18] Labor and workforce training [21] On the contrary, the a posteriori approach, firstly, brings the set of non-dominated solutions (which are optimal in the wide sense that no other solution in the considered search space, can improve one of the objectives without worsening, at least, another one), which is known as the Pareto front and, after that, allows choosing the most convenient alternative from these solutions [27]. Pareto-based techniques have become the most suitable choice for solving multi-objective optimization problems [28] and has been widely applied for practical manufacturing cases [29].…”
Section: Environmentalmentioning
confidence: 99%