Casting Defect Analysis and Optimization of an Internal Combustion Engine Piston using FEA

Abstract: This research investigates the impact of casting defects—particularly shrinkage and porosity—on the thermal and structural performance of aluminum pistons used in internal combustion engines. The study integrates CAD modeling via CATIA V5 with Finite Element Analysis (FEA) through ANSYS to evaluate piston behavior under high thermal stress. Three design iterations were examined: one without shrinkage, one with uniform shrinkage, and one with varying shrinkage. Results highlight that casting defects significantly raise stress concentrations, reduce fatigue life, and threaten component integrity. The study concludes with optimization recommendations and proposes advanced defect-mitigation strategies using future digital manufacturing technologies

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-06-09
DOI
https://doi.org/10.22214/ijraset.2025.72243
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
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article

Casting Defect Analysis and Optimization of an Internal Combustion Engine Piston using FEA

Manthan M Gaikwad
International Journal for Research in Applied Science and Engineering Technology
Additive Manufacturing Materials and Processes
article

Casting Defect Analysis and Optimization of an Internal Combustion Engine Piston using FEA

Manthan M Gaikwad
article en

Abstract

Abstract: This research investigates the impact of casting defects—particularly shrinkage and porosity—on the thermal and structural performance of aluminum pistons used in internal combustion engines. The study integrates CAD modeling via CATIA V5 with Finite Element Analysis (FEA) through ANSYS to evaluate piston behavior under high thermal stress. Three design iterations were examined: one without shrinkage, one with uniform shrinkage, and one with varying shrinkage. Results highlight that casting defects significantly raise stress concentrations, reduce fatigue life, and threaten component integrity. The study concludes with optimization recommendations and proposes advanced defect-mitigation strategies using future digital manufacturing technologies

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(6)
Fergusson College (IN)
Openalex Percentile: Top 87%
Additive Manufacturing Materials and Processes
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