Combustion System Design of a Genset Diesel Engine by Using DFSS Methodology

Wang, Tae Joong; Hwang, Seung Kwon

doi:10.1007/s12239-019-0051-6

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…is method is based on reality, but the dynamic stress experiment is relatively expensive and is greatly affected by the line, passenger capacity, and climate, so the dynamic stress experiment is only suitable for a certain type of vehicle in a certain line section and has no universality. Literature [20] established the finite element model of the frame according to the strength check standard and checked the static strength and fatigue strength of the frame. Since the actual frame is subjected to random dynamic loads, it is relatively more reasonable to apply dynamic loads to the frame for fatigue analysis.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Vehicle Structure Based on Computer-Aided Technology

Bai

2022

Journal of Electrical and Computer Engineering

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In order to improve the optimization design effect of modern automobile vehicle structure, this paper combines computer-aided technology to carry out vehicle structure optimization design, introduces the material description of the collision process, expounds the boundary conditions in the collision process, and introduces the theory of explicit integration algorithm. In the simulation process, it is necessary to deal with time step control, contact algorithm, hourglass control, etc., and analyze the optimization method of automobile collision, which is divided into experimental design and optimization method. In addition, the experimental design mainly introduces the orthogonal experimental design, which is applied to the lightweight design of automobile structures. The research verifies that computer-aided technology can play an important role in vehicle structure optimization and effectively improve the scientificity of vehicle structure design.

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Section: Introductionmentioning

confidence: 99%

Optimal Design of Vehicle Structure Based on Computer-Aided Technology

Bai

2022

Journal of Electrical and Computer Engineering

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Design for Six Sigma: A Review of the Definitions, Objectives, Activities, and Tools

Dzulinski

Braghini

Chiroli

2022

Engineering Management Journal

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Classification of 3D CAD Models considering the Knowledge Recognition Algorithm of Convolutional Neural Network

Wang

Sun

2022

Advances in Multimedia

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In order to improve the classification effect of the 3D CAD model, this paper combines the knowledge recognition algorithm of convolutional neural network to construct the 3D CAD model classification model. Moreover, this paper analyzes the application of the convolutional neural network algorithm in the classification of 3D CAD models, improves the knowledge recognition algorithm, and builds the basic structure of the convolutional neural network. In addition, this paper builds an intelligent recognition model with the support of the improved algorithm, designs experiments to verify the effect of this paper, and draws a visual display statistical graph based on the statistical test results. Through experimental research, it can be known that the 3D CAD classification model based on the knowledge recognition algorithm of convolutional neural network proposed in this paper can effectively improve the classification effect of the CAD model.

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Combustion System Design of a Genset Diesel Engine by Using DFSS Methodology

Cited by 3 publications

References 19 publications

Optimal Design of Vehicle Structure Based on Computer-Aided Technology

Optimal Design of Vehicle Structure Based on Computer-Aided Technology

Design for Six Sigma: A Review of the Definitions, Objectives, Activities, and Tools

Classification of 3D CAD Models considering the Knowledge Recognition Algorithm of Convolutional Neural Network

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