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Multi-objective optimization design of the ejector plate for rear-loader garbage trucks
ID Ding, Fu-sheng (Author), ID Lyu, Hong-ming (Author), ID Chen, Jun (Author), ID Cao, Hao-ran (Author), ID Zhang, Lan-xiang (Author)

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Abstract
This work presents a multi-objective optimization design approach for the ejector plate, a critical component of rear-loading garbage trucks, with the goal of maintaining structural integrity while optimizing lightweight performance. A parametric finite element model of the ejector plate is developed with optimization objectives focused on minimizing mass, maximizing deformation limits, and reducing the maximum von Mises stress. Through sensitivity analysis, seven key variables are identified as constraints. A Box-Behnken design (BBD) is used to systematically design these parameters, and a Kriging surrogate model is created to approximate the objective function, with performance compared to response surface methodology (RSM). The Non-dominated Sorting Genetic Algorithm II (NSGA-II) is applied to derive the optimal solution, achieving a lightweight design meeting all structural requirements. The results show that the mass of the ejector plate of the rear-loading waste compactor can be reduced by 6.06 % through structural optimization, while meeting the strength and deformation criteria. This improvement not only enhances waste transportation efficiency, but also lowers production costs and enhances material utilization.

Language:English
Keywords:garbage truck, ejector plate, multi-objective optimization
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Publication status:Published
Publication version:Version of Record
Year:2025
Number of pages:10 str.
Numbering:Vol. 71, no. 5/6
PID:20.500.12556/RUL-174439 This link opens in a new window
UDC:621
ISSN on article:2536-3948
DOI:10.5545/sv-jme.2024.1185 This link opens in a new window
COBISS.SI-ID:251449859 This link opens in a new window
Publication date in RUL:02.10.2025
Views:451
Downloads:189
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Record is a part of a journal

Title:Strojniški vestnik
Shortened title:Stroj. vestn.
Publisher:Fakulteta za strojništvo
ISSN:2536-3948
COBISS.SI-ID:294943232 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Title:Večkriterijska optimizacija zasnove iztisne plošče za smetarska vozila z zadenjskim nakladanjem
Abstract:
V delu je predstavljena večkriterijska optimizacija zasnove iztisne plošče, ključne komponente smetarskih vozil z zadenjskim nakladanjem, z namenom ohranjanja trdnosti ob hkratni optimizaciji mase. Zasnovan je bil parametrični model s končnimi elementi iztisne plošče, pri čemer so bili cilji optimizacije usmerjeni v zmanjšanje mase, maksimiranje omejitev deformacij ter zmanjšanje maksimalne von Misesove napetosti. Z analizo občutljivosti je bilo identificiranih sedem ključnih spremenljivk. Sistematična zasnova parametrov je bila izvedena s pomočjo Box-Behnkenovega načrtovanja eksperimentov (BBD), ciljna funkcija pa je bila približana s Krigingovim nadomestnim modelom, katerega učinkovitost je bila primerjana z metodo odzivne površine (RSM). Za določitev optimalne rešitve je bil uporabljen večkriterijski genetski algoritem NSGA-II, ki omogoča lahkotnejšo zasnovo ob izpolnjevanju vseh strukturnih zahtev. Rezultati kažejo, da je možno maso iztisne plošče smetarskega vozila z zadenjskim nakladanjem z optimizacijo zmanjšati za 6,06 %, pri čemer so izpolnjeni kriteriji trdnosti in deformacij. Ta izboljšava ne poveča le učinkovitosti transporta odpadkov, ampak tudi zmanjša proizvodne stroške in izboljša izkoriščenost gradiv.

Keywords:smetarsko vozilo, iztisna plošča, večkriterijska optimizacija, NSGA-II, Kriging

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