Multi-objective optimization of a diesel particulate filter: an acoustic approach

Öztürk S., Erol H.

PARTICULATE SCIENCE AND TECHNOLOGY, cilt.40, sa.4, ss.465-474, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 40 Sayı: 4
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1080/02726351.2021.1964116
  • Dergi Adı: PARTICULATE SCIENCE AND TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), Chemical Abstracts Core, Communication Abstracts, Compendex, Computer & Applied Sciences, EMBASE, INSPEC, Metadex, Pollution Abstracts, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.465-474
  • Anahtar Kelimeler: Diesel particulate filter, multi-objective optimization, nondominated sorting genetic algorithm, sound transmission loss, pressure drop, SOUND-PROPAGATION, NARROW PIPES, MEAN FLOW, TRANSMISSION, TUBES, MODEL
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

In order to decrease the soot particles' harmful emission, it is necessary to use a diesel particulate filter (DPF) on cars. Recent years, many countries standardize using DPF on cars. In this paper, a multi-objective design optimization study is performed by using the nondominated sorting genetic algorithm (NSGA-II) to obtain an optimum DPF geometry. In the present study, two objective functions were determined to obtain an optimum DPF. The first was to maximize sound transmission loss (TL) values to increase the acoustical properties of the DPF, while the second was to minimize the back pressure to cause the diesel engine to work efficiently and consume less energy. The optimization problem has been constructed in the form of maximizing the sum of the values of TL at all frequencies, as optimizing the problem for each frequency separately means a new DPF at each frequency, which has a different geometry. In the literature, optimization of the DPF has been carried out for a few parameters by just changing one parameter value and keeping others stable. However, in this paper, optimization of the acoustic performance of DPFs was performed for more than one parameter in the range of their specific values simultaneously.