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Multi-objective optimization based on machine reliability and process-dependent product quality for FDM system

  • Jiaqi Lyu
  • Souran ManoochehriEmail author
ORIGINAL ARTICLE
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Abstract

With increasing application of Fused Deposition Modeling (FDM), it is important to develop a reliability model and maintenance plan strategies for FDM machines. This paper studies the impact of machine component degradations and process parameter deviations on the FDM system reliability. The contribution of this paper is to integrate both FDM machine reliability and process-dependent product quality in a system reliability model. The machine reliability is determined by component degradations. All component failures are subject to exponential distributions with time-dependent failure rates. The process-dependent product quality is used to quantify the impact of process parameters on product quality. The Flashforge Guider fabrication machine is used as a case study. The reliability model of this machine is analyzed during its operation time. Based on the reliability model, the optimal maintenance plans using multi-objective optimization method are obtained. The minimum life cycle cost and cumulative failure probability functions are taken as optimization objectives. Comparisons among the optimal maintenance plans and the solution without preventative maintenance (PM) are investigated. The implementation of PM improves the system reliability and reduces the life cycle cost. Through the Pareto frontiers, the trade-off is obtained between life cycle cost and cumulative failure probability functions. Numerical results for the optimization of FDM system operations are provided.

Keywords

Additive manufacturing System reliability Maintenance plan Life cycle cost 

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Notes

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringStevens Institute of TechnologyHobokenUSA

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