대리 모델을 이용한 의료폐기물 멸균분쇄용 파쇄기의 민감도 해석

Translated title of the contribution: Sensitivity Analysis of Medical Waste Sterilization Shredder Using Surrogate Model

Dohoon Kim, Muhammad Muzammil Azad, Salman Khalid, Heung Soo Kim

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Medical waste has been excessively generated in various medical facilities due to COVID-19, and its treatment has become an important concern. Previously, an optimized medical waste sterilization and shredding system was developed for hospital scale but due to increased demand, it is necessary to scale such a system for different facilities. Therefore, in this paper, a sensitivity analysis for the design variables of the shredding system has been conducted and a surrogate model is developed for stress estimation. The surrogate model was generated using LHS (Latin hypercube sampling), which can represent the overall information of the design domain with a limited number of samples. The surrogate model was then used to increase the number of samples for sensitivity analysis which helped in reducing the computational time for finite element analysis. The sensitive variables for the shredder system were then estimated using sensitivity analysis. Consequently, an efficient design framework for various capacities of medical waste shredder was suggested using sensitivity analysis and a data-driven surrogate model.

Translated title of the contributionSensitivity Analysis of Medical Waste Sterilization Shredder Using Surrogate Model
Original languageKorean
Pages (from-to)71-77
Number of pages7
JournalTransactions of the Korean Society of Mechanical Engineers, A
Volume47
Issue number1
DOIs
StatePublished - 2023

Keywords

  • Latin Hypercube Sampling
  • Medical Waste
  • Sensitivity Analysis
  • Shredder
  • Surrogate Model

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