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.
Multiobjective Optimization of the Heating Process for Forging Automotive Crankshaft
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.
- Views Icon Views
- Share Icon Share
- Cite Icon Cite
- Search Site
Park, H., and Dang, X. (June 1, 2015). "Multiobjective Optimization of the Heating Process for Forging Automotive Crankshaft." ASME. J. Manuf. Sci. Eng. June 2015; 137(3): 031011. https://doi.org/10.1115/1.4029805
Download citation file:
- Ris (Zotero)
- Reference Manager