Process optimization for the manufacturing of sheets with estimated balance between product quality and energy consumption

Ohara, Kazuhiro; Tsugeno, Masashi; Imanari, Hiroyuki; Sakiyama, Yasuyuki; Kitagoh, Kazutoshi; Ye, Jun

doi:10.1016/j.cirp.2014.03.006

Cited by 13 publications

(3 citation statements)

References 7 publications

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“…An energy and utility maturity framework is used for the measurement and management of the consumed resources, measuring both energy and natural resources consumption (Ngai et al 2013). After the measurements phase, an optimisation system to evaluate both energy consumption and mechanical properties for hot-rolled products in the sheet manufacturing process is used in Ohara et al (2014). However, focusing only in the production or machine tool-level approaches do not maximise the improvement's potential in all manufacturing levels (Salonitis and Ball 2013).…”

Section: Consumption Analysismentioning

confidence: 99%

Energy consumption awareness in manufacturing and production systems

Delgado-Gomes

Oliveira-Lima

Martins

2016

International Journal of Computer Integrated Manufacturing

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Industry is a major energy consumer and therefore, manufacturers are continuously trying to reduce manufacturing costs. The improvement of energy usage in manufacturing has been receiving large attention during the last years due to the increasing energy cost and environmental awareness. However, it is still difficult to identify the most energy demanding manufacturing phases in the whole manufacturing process, and which ones can and should be energetically improved. This paper proposes a standard-based infrastructure to collect and monitor energy data in real time for manufacturing and production systems, along with a manufacturing energy management system (MEMS). The collected data improves energy consumption awareness and allows the MEMS to make further analysis and to identify where to take actions in the manufacturing process in order to reduce the energy consumption. The developed MEMS enables energy consumption monitoring with different granularities, depending on where the monitoring devices are placed, that is, per machine, per product process, or for the factory as a whole. The developed MEMS also includes the control of energy related devices to support energy-based decisions and enables the interoperability with a generic manufacturing management system simulation software that works with real monitored energy data in order to test and validate modifications made to the manufacturing process.

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Section: Consumption Analysismentioning

confidence: 99%

Energy consumption awareness in manufacturing and production systems

Delgado-Gomes

Oliveira-Lima

Martins

2016

International Journal of Computer Integrated Manufacturing

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“…TM rolling aims at achieving the final product properties during hot rolling, circumventing further processing. The microstructure is very sensitive to the process parameters, and thus understanding and controlling the influence of the process parameters, hence, is crucial for obtaining the desired product properties [158].…”

Section: Product Property: Hardnessmentioning

confidence: 99%

Metal forming beyond shaping: Predicting and setting product properties

et al. 2015

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“…In the on-line model for the optimization and control of hot strip mill, the kinetic property prediction of rolled strip is implemented, as presented by Agarwal and Shivpuri (2012) and Ohara et al (2014). There are empirical equations presented and summarized by Pickering (1978), and such kinetic property model is enough to predict kinetic properties, taking variables obtained by present microstructure analysis model as input parameters, because on-line prediction of microstructure is mainly conducted for the steels with high amount of production such as CSi-Mn steels or low micro-alloyed steels.…”

Section: Requirements For Kinetic Property Prediction and Materials Gmentioning

confidence: 99%

Numerical Analysis for Microstructure Control in Hot Forming Process

Dupin

Liu³

et al. 2014

Procedia Engineering

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The importance of structural metals for industrial applications is based on their superior combination of mechanical propertiesstrength, elongation, toughness and corrosion resistance -achieved at the end of forming processes. A numerical analysis for the prediction of microstructure is strongly required for the optimization of hot forming process parameters, because the microstructure of structural metals, which has the significant effects on mechanical properties, is strongly dependent to forming process conditions as well as the chemical composition. The off-line and on-line analyses of microstructure evolution are explained briefly, and the results of its application to hot strip rolling are presented. The linkage of microstructure analysis to kinetic property prediction of product is discussed, and finally, the remaining research topic, such as enlarging the analytical scheme to various alloys, is presented.

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Process optimization for the manufacturing of sheets with estimated balance between product quality and energy consumption

Cited by 13 publications

References 7 publications

Energy consumption awareness in manufacturing and production systems

Energy consumption awareness in manufacturing and production systems

Metal forming beyond shaping: Predicting and setting product properties

Numerical Analysis for Microstructure Control in Hot Forming Process

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