A computational framework towards energy efficient casting processes

Michail Papanikolaou; Emanuele Pagone; Konstantinos Salonitis; Mark Jolly; Charalampos Makatsoris; Ljubo Vlacic; Dzung Dao; Robert J. Howlett; Rossi  Setchi

doi:10.1007/978-3-030-04290-5_27

A computational framework towards energy efficient casting processes

Michail Papanikolaou^*, Emanuele Pagone, Konstantinos Salonitis, Mark Jolly, Charalampos Makatsoris, Ljubo Vlacic (Editor), Dzung Dao (Editor), Robert J. Howlett (Editor), Rossi Setchi (Editor)

^*Corresponding author for this work

Research output: Contribution to journal › Conference paper › peer-review

3 Citations (Scopus)

111 Downloads (Pure)

Abstract

Casting is one of the most widely used, challenging and energy intensive manufacturing processes. Due to the complex engineering problems associated with casting, foundry engineers are mainly concerned with the quality of the final casting component. Consequently, energy efficiency is often disregarded and huge amounts of energy are wasted in favor of high quality casting parts. In this paper, a novel computational framework for the constrained minimization of the pouring temperature is presented and applied on the Constrained Rapid Induction Melting Single Shot Up-Casting (CRIMSON) process. Minimizing the value of the pouring temperature can lead to significant energy savings during the melting and holding processes as well as to higher yield rate due to the resulting reduction of the solidification time. Moreover, a multi-objective optimization component has been integrated into our scheme to assist decision makers with estimating the trade-off between process parameters.

Original language	English
Pages (from-to)	263-276
Number of pages	14
Journal	Smart Innovation, Systems and Technologies
Volume	130
DOIs	https://doi.org/10.1007/978-3-030-04290-5_27
Publication status	E-pub ahead of print - 1 Dec 2018
Event	5th International Conference on Sustainable Design and Manufacturing, SDM 2018 - Gold Coast, Australia Duration: 24 Jun 2018 → 26 Jun 2018

Keywords

Computational framework
CRIMSON
Sand casting
Sustainability

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-030-04290-5_27

A Computational Framework Towards_PAPANIKOLAU_Epub1Dec2018_GREEN AAMAccepted author manuscript, 642 KBLicence: CC BY-NC-ND

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title = "A computational framework towards energy efficient casting processes",

abstract = "Casting is one of the most widely used, challenging and energy intensive manufacturing processes. Due to the complex engineering problems associated with casting, foundry engineers are mainly concerned with the quality of the final casting component. Consequently, energy efficiency is often disregarded and huge amounts of energy are wasted in favor of high quality casting parts. In this paper, a novel computational framework for the constrained minimization of the pouring temperature is presented and applied on the Constrained Rapid Induction Melting Single Shot Up-Casting (CRIMSON) process. Minimizing the value of the pouring temperature can lead to significant energy savings during the melting and holding processes as well as to higher yield rate due to the resulting reduction of the solidification time. Moreover, a multi-objective optimization component has been integrated into our scheme to assist decision makers with estimating the trade-off between process parameters.",

keywords = "Computational framework, CRIMSON, Sand casting, Sustainability",

author = "Michail Papanikolaou and Emanuele Pagone and Konstantinos Salonitis and Mark Jolly and Charalampos Makatsoris and Ljubo Vlacic and Dzung Dao and Howlett, {Robert J.} and Rossi Setchi",

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AU - Papanikolaou, Michail

AU - Pagone, Emanuele

AU - Salonitis, Konstantinos

AU - Jolly, Mark

AU - Makatsoris, Charalampos

A2 - Vlacic, Ljubo

A2 - Dao, Dzung

A2 - Howlett, Robert J.

A2 - Setchi, Rossi

PY - 2018/12/1

Y1 - 2018/12/1

N2 - Casting is one of the most widely used, challenging and energy intensive manufacturing processes. Due to the complex engineering problems associated with casting, foundry engineers are mainly concerned with the quality of the final casting component. Consequently, energy efficiency is often disregarded and huge amounts of energy are wasted in favor of high quality casting parts. In this paper, a novel computational framework for the constrained minimization of the pouring temperature is presented and applied on the Constrained Rapid Induction Melting Single Shot Up-Casting (CRIMSON) process. Minimizing the value of the pouring temperature can lead to significant energy savings during the melting and holding processes as well as to higher yield rate due to the resulting reduction of the solidification time. Moreover, a multi-objective optimization component has been integrated into our scheme to assist decision makers with estimating the trade-off between process parameters.

AB - Casting is one of the most widely used, challenging and energy intensive manufacturing processes. Due to the complex engineering problems associated with casting, foundry engineers are mainly concerned with the quality of the final casting component. Consequently, energy efficiency is often disregarded and huge amounts of energy are wasted in favor of high quality casting parts. In this paper, a novel computational framework for the constrained minimization of the pouring temperature is presented and applied on the Constrained Rapid Induction Melting Single Shot Up-Casting (CRIMSON) process. Minimizing the value of the pouring temperature can lead to significant energy savings during the melting and holding processes as well as to higher yield rate due to the resulting reduction of the solidification time. Moreover, a multi-objective optimization component has been integrated into our scheme to assist decision makers with estimating the trade-off between process parameters.

KW - Computational framework

KW - CRIMSON

KW - Sand casting

KW - Sustainability

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DO - 10.1007/978-3-030-04290-5_27

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AN - SCOPUS:85059074979

SN - 2190-3018

VL - 130

SP - 263

EP - 276

JO - Smart Innovation, Systems and Technologies

JF - Smart Innovation, Systems and Technologies

T2 - 5th International Conference on Sustainable Design and Manufacturing, SDM 2018

Y2 - 24 June 2018 through 26 June 2018

ER -

A computational framework towards energy efficient casting processes

Abstract

Keywords

UN SDGs

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