0
Journal of Manufacturing Science and Engineering | Volume 137 | Issue 3 | research-article
Research Papers

Multiobjective Optimization of the Heating Process for Forging Automotive Crankshaft

[+] Author and Article Information
Hong-Seok Park

Mem. ASME
Laboratory for Production Engineering,
School of Mechanical and
Automotive Engineering,
University of Ulsan,
San 29, Mugeo 2-dong,
Namgu, Ulsan 680-749, South Korea
e-mail: phosk@ulsan.ac.kr

Xuan-Phuong Dang

Faculty of Mechanical Engineering,
Nha Trang University,
2 Nguyen Dinh Chieu Str.,
Nha Trang City, Khanh Hoa Province 650000, Vietnam
e-mail: phuongdx@ntu.edu.vn

1Corresponding author.

Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING. Manuscript received August 31, 2014; final manuscript received February 8, 2015; published online March 2, 2015. Assoc. Editor: Gracious Ngaile.

J. Manuf. Sci. Eng 137(3), 031011 (Jun 01, 2015) (8 pages) Paper No: MANU-14-1454; doi: 10.1115/1.4029805 History: Received August 31, 2014; Revised February 08, 2015; Online March 02, 2015
Article
References
Figures
Tables
Citing Articles

This paper presents potential approaches that increase the energy efficiency of an in-line induction heating system for forging of an automotive crankshaft. Both heat loss reduction and optimization of process parameters are proposed scientifically in order to minimize the energy consumption and the temperature deviation in the workpiece. We applied the numerical multiobjective optimization method in conjunction with the design of experiment (DOE), mathematical approximation with metamodel, nondominated sorting genetic algorithm (GA), and engineering data mining. The results show that using the insulating covers reduces heat by an amount equivalent to 9% of the energy stored in the heated workpiece, and approximately 5.8% of the energy can be saved by process parameter optimization.
FIGURES IN THIS ARTICLE
<>
Copyright © 2015 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Grahic Jump Location
Fig. 1

In-line induction heating of a long steel bar prior to hot forging an automotive crankshaft

+In-line induction heating of a long steel bar prior to hot forging an automotive crankshaft
View Large  |  Save Figure  |  Download Slide (.ppt)
In-line induction heating of a long steel bar prior to hot forging an automotive crankshaft
Grahic Jump Location
Fig. 2

The manufacturing process of the automotive crankshaft

+The manufacturing process of the automotive crankshaft
View Large  |  Save Figure  |  Download Slide (.ppt)
The manufacturing process of the automotive crankshaft
Grahic Jump Location
Fig. 3

The proposed thermal insulating covers in the in-line induction heating system [8]

+The proposed thermal insulating covers in the in-line induction heating system [8]
View Large  |  Save Figure  |  Download Slide (.ppt)
The proposed thermal insulating covers in the in-line induction heating system [8]
Grahic Jump Location
Fig. 4

A framework of automatic simulation-based and metamodel-based optimization

+A framework of automatic simulation-based and metamodel-based optimization
View Large  |  Save Figure  |  Download Slide (.ppt)
A framework of automatic simulation-based and metamodel-based optimization
Grahic Jump Location
Fig. 5

Algorithm of metamodel-based optimization and systematic procedure for optimizing the heating process

+Algorithm of metamodel-based optimization and systematic procedure for optimizing the heating process
View Large  |  Save Figure  |  Download Slide (.ppt)
Algorithm of metamodel-based optimization and systematic procedure for optimizing the heating process
Grahic Jump Location
Fig. 6

The structure of the coupling electromagnetic and thermal analysis in the induction heating

+The structure of the coupling electromagnetic and thermal analysis in the induction heating
View Large  |  Save Figure  |  Download Slide (.ppt)
The structure of the coupling electromagnetic and thermal analysis in the induction heating
Grahic Jump Location
Fig. 7

Heating strategy that divides the heaters into three groups fed by independent power supplies

+Heating strategy that divides the heaters into three groups fed by independent power supplies
View Large  |  Save Figure  |  Download Slide (.ppt)
Heating strategy that divides the heaters into three groups fed by independent power supplies
Grahic Jump Location
Fig. 8

Circuit-coupled FEM model of induction heating simulation

+Circuit-coupled FEM model of induction heating simulation
View Large  |  Save Figure  |  Download Slide (.ppt)
Circuit-coupled FEM model of induction heating simulation
Grahic Jump Location
Fig. 9

The graphical relations between the factors (frequency 1, frequency 2, voltage) and responses (energy efficiency and temperature deviation): (a) RBF model and (b) RSM model

+The graphical relations between the factors (frequency 1, frequency 2, voltage) and responses (energy efficiency and temperature deviation): (a) RBF model and (b) RSM model
View Large  |  Save Figure  |  Download Slide (.ppt)
The graphical relations between the factors (frequency 1, frequency 2, voltage) and responses (energy efficiency and temperature deviation): (a) RBF model and (b) RSM model
Grahic Jump Location
Fig. 10

Pareto plot for (a) response efficiency and (b) response temperature deviation

+Pareto plot for (a) response efficiency and (b) response temperature deviation
View Large  |  Save Figure  |  Download Slide (.ppt)
Pareto plot for (a) response efficiency and (b) response temperature deviation
Grahic Jump Location
Fig. 11

Main effects for (a) efficiency and (b) temperature deviation

+Main effects for (a) efficiency and (b) temperature deviation
View Large  |  Save Figure  |  Download Slide (.ppt)
Main effects for (a) efficiency and (b) temperature deviation
Grahic Jump Location
Fig. 12

Engineering data mining and Pareto plot used to determine the optimum process parameters

+Engineering data mining and Pareto plot used to determine the optimum process parameters
View Large  |  Save Figure  |  Download Slide (.ppt)
Engineering data mining and Pareto plot used to determine the optimum process parameters

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Thermodynamic Performance
Closed-Cycle Gas Turbines> Chapter 6
Scope of Section I, Organization, and Service Limits
Power Boilers> Chapter 1
The Design and Application of Heating Boiler's Energy-Efficiency Performance Supervision System
International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)
Lay-Up and Start-Up Practices
Consensus on Operating Practices for Control of Water and Steam Chemistry in Combined Cycle and Cogeneration> Chapter 7
Optimization of Supply and Return Water Temperature of Single-Pipe Cross-Over Heating System for Energy Saving Reconstructed Building
International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In