A Multifactor Combination Optimization Design Based on Orthogonality for a Two-Degree-of-Freedom Floating Machine Gun Vibration System

IF 1.2 4区工程技术 Q3 ACOUSTICS

Shock and Vibration Pub Date : 2024-03-11 DOI:10.1155/2024/6686238

Yang Wang, Cheng Xu, Long He, Yanfeng Cao

{"title":"A Multifactor Combination Optimization Design Based on Orthogonality for a Two-Degree-of-Freedom Floating Machine Gun Vibration System","authors":"Yang Wang, Cheng Xu, Long He, Yanfeng Cao","doi":"10.1155/2024/6686238","DOIUrl":null,"url":null,"abstract":"This paper introduces a novel type of floating machine gun that can be simplified as a self-balancing two-degree-of-freedom mechanical system with distinct vibration characteristics. The model accounts for intricate motion patterns and encompasses numerous potential influencing factors. Multifactor combination optimization of the system represents a pressing engineering challenge. After establishing a simulation model for the machine gun and validating it experimentally, seven factors were chosen as optimization variables. The maximum recoil displacement of the inner receiver (MRD) and the firing rate were chosen to be indicators. Orthogonal combinations and variance analyses were used, and the effects of multiple factors were analyzed using SPSS software; these processes led to a determination of the optimal combination. The results indicated that the piston cylinder pressure, the bi-directional buffer spring energy storage, and the inner receiver mass significantly affected the MRD. Furthermore, the automaton mass and the reset spring energy storage were found to substantially affect the firing rate. Careful analysis of the variance results facilitated the determination of the optimal combination of parameter values. Remarkably, the optimal combination chosen resulted in an MRD reduction of approximately 20.2% and a firing rate increase of approximately 26.6%.","PeriodicalId":21915,"journal":{"name":"Shock and Vibration","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Shock and Vibration","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1155/2024/6686238","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ACOUSTICS","Score":null,"Total":0}

引用次数: 0

Abstract

This paper introduces a novel type of floating machine gun that can be simplified as a self-balancing two-degree-of-freedom mechanical system with distinct vibration characteristics. The model accounts for intricate motion patterns and encompasses numerous potential influencing factors. Multifactor combination optimization of the system represents a pressing engineering challenge. After establishing a simulation model for the machine gun and validating it experimentally, seven factors were chosen as optimization variables. The maximum recoil displacement of the inner receiver (MRD) and the firing rate were chosen to be indicators. Orthogonal combinations and variance analyses were used, and the effects of multiple factors were analyzed using SPSS software; these processes led to a determination of the optimal combination. The results indicated that the piston cylinder pressure, the bi-directional buffer spring energy storage, and the inner receiver mass significantly affected the MRD. Furthermore, the automaton mass and the reset spring energy storage were found to substantially affect the firing rate. Careful analysis of the variance results facilitated the determination of the optimal combination of parameter values. Remarkably, the optimal combination chosen resulted in an MRD reduction of approximately 20.2% and a firing rate increase of approximately 26.6%.

查看原文本刊更多论文

基于正交性的两自由度浮动机炮振动系统多因素组合优化设计

本文介绍了一种新型浮动机枪，可简化为具有明显振动特性的自平衡两自由度机械系统。该模型考虑了复杂的运动模式，并包含众多潜在的影响因素。该系统的多因素组合优化是一项紧迫的工程挑战。在建立机枪仿真模型并通过实验验证后，选择了七个因素作为优化变量。其中，内机匣的最大后坐力位移（MRD）和发射率被选为指标。采用正交组合和方差分析，并使用 SPSS 软件分析了多个因素的影响，最终确定了最佳组合。结果表明，活塞缸压力、双向缓冲弹簧储能和内部接收器质量对 MRD 有显著影响。此外，还发现自动机质量和复位弹簧储能对发射率有很大影响。对差异结果的仔细分析有助于确定参数值的最佳组合。值得注意的是，所选择的最佳组合使 MRD 降低了约 20.2%，点火率提高了约 26.6%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Shock and Vibration 物理-工程：机械

CiteScore

3.40

自引率

6.20%

发文量

384

审稿时长

3 months

期刊介绍： Shock and Vibration publishes papers on all aspects of shock and vibration, especially in relation to civil, mechanical and aerospace engineering applications, as well as transport, materials and geoscience. Papers may be theoretical or experimental, and either fundamental or highly applied.