Optimization design and analysis of mobile pump truck frame using response surface methodology

Liang Cheng; Hai-Bin Lin; Yu-Liang Zhang

doi:10.1371/journal.pone.0290348

Optimization design and analysis of mobile pump truck frame using response surface methodology

PLoS One. 2023 Aug 17;18(8):e0290348. doi: 10.1371/journal.pone.0290348. eCollection 2023.

Authors

Liang Cheng¹, Hai-Bin Lin², Yu-Liang Zhang¹

Affiliations

¹ College of Mechanical Engineering & Key Laboratory of Air-driven Equipment Technology of Zhejiang Province, Quzhou University, Quzhou, China.
² College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, China.

Abstract

In order to realize the lightweight design of mobile pump truck, this paper takes the frame of a certain type of mobile pump truck as the research object. The response surface method is used to carry out lightweight design of the longitudinal beam structure of the frame, and the finite element method is used to establish the finite element model to compare and analyze the optimized and original designs. The results show that the height, width and thickness of the optimized longitudinal beam section are reduced by 10mm, 11mm, and 0.8mm respectively, and the weight of the whole frame is reduced by 35.8kg. Before and after optimization, the displacement and stress changes of the frame are small in four motion situations, which meet the lightweight requirements of optimization design.

Copyright: © 2023 Cheng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Motion
Motor Vehicles*
Reading Frames
Records*

Grants and funding

The research was financially supported by the "Pioneer" and "Leading Goose" R&D Program of Zhejiang (Grant No. 2022C03170), Science and Technology Project of Quzhou (Grant No.2022K98), and Science and Technology Project of Zhejiang (Grant No. LGC21E050001). The funder (the "Pioneer" and "Leading Goose" R&D Program of Zhejiang) had a role in study design and data analysis. The funder (Science and Technology Project of Quzhou) had a role in scheme simulation and analysis. The funder (Science and Technology Project of Zhejiang) had a role in optimization design of physical model.