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汽车整车多级生产线协同排序优化方法

计算机集成制造系统 2024年第6期30卷 2025-2035页

作者：李聪波赵德杨秒常永生赖佐强重庆大学机械传动国家重点实验室重庆400044 重庆长安汽车股份有限公司重庆404100

为满足汽车整车生产线不同工艺车间对车身序列的不同需求,提高汽车生产线多工艺车间的协同生产能力并降低生产成本,提出一种面向汽车整车多级生产线的协同排序优化方法。分析了汽车生产过程中不同工艺车间对车身序列的不同需求,在考虑... 详细信息

为满足汽车整车生产线不同工艺车间对车身序列的不同需求,提高汽车生产线多工艺车间的协同生产能力并降低生产成本,提出一种面向汽车整车多级生产线的协同排序优化方法。分析了汽车生产过程中不同工艺车间对车身序列的不同需求,在考虑焊接车间车型更换次数、涂装车间颜色更换次数、总装车间总超载和空闲时间、总装车间物料消耗均衡等传统优化目标的基础上,搭建了缓冲区重排序成本的目标函数,并以此构建了汽车整车多级生产线协同排序多目标优化模型,然后采用基于启发式出入站规则的第三代非支配排序遗传算法对模型进行优化求解。最后通过某公司的实际生产案例,验证了所提模型和方法的有效性。

关键词：汽车整车多级生产线协同排序多目标优化

Energy saving design of the machining unit of hobbing machine tool with integrated optimization

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Frontiers of Mechanical Engineering 2022年第3期17卷 209-227页

作者： Yan LV congbo li Jixiang HE Wei li Xinyu li Juan li State Key Laboratory of Mechanical Transmission College of Mechanical and Vehicle EngineeringChongqing UniversityChongqing400044China Department of Process Technology Sichuan Aerospace Fenghuo Servo Control Technology CorporationChengdu611130China State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and TechnologyWuhan430074China

The machining unit of hobbing machine tool accounts for a large portion of the energy consumption during the operating *** optimization design is a practical means of energy saving and can reduce energy consumption ***,this issue has rarely been discussed in depth in previous research.A comprehensive function of energy consumption of the machining unit is built to address this *** models are established by using effective fitting *** integrated optimization model for reducing tool displacement and energy consumption is developed on the basis of the energy consumption function and surrogate models,and the parameters of the motor and structure are considered *** show that the energy consumption and tool displacement of the machining unit are reduced,indicating that energy saving is achieved and the machining accuracy is *** influence of optimization variables on the objectives is analyzed to inform the design.

关键词： energy saving design energy consumption machining unit integrated optimization machine tool

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基于瞬发伽马谱学的元素重建算法

中国无机分析化学 2024年第6期14卷 842-856页

作者：汪金龙吴晓光杨立旺赵子豪郑云李聪博李天晓郑敏中国原子能科学研究院核物理研究所北京102413

质子治疗中的瞬发伽马射线是质子和靶标之间核反应的产物,瞬发伽马射线的特征能量和强度可以用来确定靶中元素的种类和数量,在之前的实验中已经证明,无论反应截面多么复杂,一旦确定了被照射元素和入射质子的能量,元素浓度与伽马射线光... 详细信息

质子治疗中的瞬发伽马射线是质子和靶标之间核反应的产物,瞬发伽马射线的特征能量和强度可以用来确定靶中元素的种类和数量,在之前的实验中已经证明,无论反应截面多么复杂,一旦确定了被照射元素和入射质子的能量,元素浓度与伽马射线光子数之间就存在一定的线性关系。然而,这种线性关系很难应用于医学成像,而且氢的非线性行为迄今尚未研究。将这种线性关系推广到包括氢等非线性情况的混合元素材料,并提出了一种通用的数学形式,即基于瞬发伽马谱学的重建算法(PGSRA)。PGSRA的基本假设是样品材料的PGS与元素的每摩尔伽马射线有某种关系。对于碳和氧,这种关系是线性的,而对于氢,这种关系是非线性的。由于2.23 MeV的伽马线来源于中子吸收辐射,研究氢非线性行为,利用蒙特卡罗模拟验证碳、氧和氢的不同组合,如聚甲基丙烯酸甲酯(PMMA)、戊二醇和乙醇二醇的线性和非线性关系。所有样品材料的碳、氧相对误差均小于4%。基于氢的非线性特性,其相对误差约为10%。此外,样品密度的相对误差对所有样品材料都小于3.5%。开发的PGSRA法可能是PGS和医学成像之间的第一座桥梁。

关键词：质子治疗瞬发伽马谱学蒙特卡罗 FLUKA 中子吸收

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Energy Consumption Prediction of a CNC Machining Process With Incomplete Data

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IEEE/CAA Journal of Automatica Sinica 2021年第5期8卷 987-1000页

作者： Jian Pan congbo li Ying Tang Wei li Xiaoou li the State Key Laboratory of Mechanical Transmission Chongqing UniversityChongqing 400044China the Department of Electrical and Computer Engineering Rowan UniversityGlassboroNJ 08028 USA the Computer Science Department The Research and Advanced Studies Centre of the National Polytechnic InstituteMexico City 07360Mexico

Energy consumption prediction of a CNC machining process is important for energy efficiency optimization *** improve the generalization abilities,more and more parameters are acquired for energy prediction *** the data collected from workshops may be incomplete because of misoperation,unstable network connections,and frequent transfers,*** work proposes a framework for energy modeling based on incomplete data to address this ***,some necessary preliminary operations are used for incomplete data ***,missing values are estimated to generate a new complete data set based on generative adversarial imputation nets(GAIN).Next,the gene expression programming(GEP)algorithm is utilized to train the energy model based on the generated data ***,we test the predictive accuracy of the obtained *** experiments are designed to investigate the performance of the proposed framework with different rates of missing *** results demonstrate that even when the missing data rate increases to 30%,the proposed framework can still make efficient predictions,with the corresponding RMSE and MAE 0.903 k J and 0.739 k J,respectively.

关键词： Energy consumption prediction incomplete data generative adversarial imputation nets(GAIN) gene expression programming(GEP)

ON CORE STRUCTURE PROPERTIES AND PEIERLS STRESS OF DISSOCIATED SUPERDISLOCATIONS IN ALUMINIDES:NiAl AND FeAl

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Acta Mechanica Solida Sinica 2010年第3期23卷 213-219页

作者： Xiaozhi Wu Shaofeng Wang congbo li Institute .for Structure and Function Chongqing University Chongqing 400044 China State Key Laboratory of Mechanical Transmission Chongqing University Chongqing 400044 China

The study of dislocation properties in B2 structure intermetallics NiAl and FeAl is crucial to understand their mechanical behaviors. In this paper, the core structure and Peierls stress of collinear dissociated （111）{110} edge superdislocations in NiAl and FeAl are investigated with the modified P-N dislocation equation. The generalized stacking fault energy curve along （111） direction in {110} slip plane contains two modification factors that can assure the antiphase energy and the unstable stacking fault energy to change independently. The results show that the core width of superpartials decreases with the increasing unstable stacking fault energy, and increases with the increasing antiphase boundary energy. The calculated Peierls stress of （111）{ 110） edge superdislocations in NiAl and FeAl are 475 MPa and 3042 MPa, respectively. The values of Peierls stress in NiAl is in accordance in magnitude with the experimental and the molecular statics simulations results.

关键词： core structure Peierls stress NiAl FeAl

Energy efficient cutting parameter optimization

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Frontiers of Mechanical Engineering 2021年第2期16卷 221-248页

作者： Xingzheng CHEN congbo li Ying TANG li li Hongcheng li College of Engineering and Technology Southwest UniversityChongqing 400715China State Key Laboratory of Mechanical Transmission Chongqing UniversityChongqing 400044China Department of Electrical and Computer Engineering Rowan UniversityGlassboroNJ 08028USA College of Advanced Manufacturing Engineering Chongqing University of Posts and TelecommunicationsChongqing 400065China

Mechanical manufacturing industry consumes substantial energy with low energy efficiency. Increasing pressures from energy price and environmental directive force mechanical manufacturing industries to implement energy efficient technologies for reducing energy consumption and improving energy efficiency of their machining processes. In a practical machining process, cutting parameters are vital variables set by manufacturers in accordance with machining requirements of workpiece and machining condition. Proper selection of cutting parameters with energy consideration can effectively reduce energy consumption and improve energy efficiency of the machining process. Over the past 10 years, many researchers have been engaged in energy efficient cutting parameter optimization, and a large amount of literature have been published. This paper conducts a comprehensive literature review of current studies on energy efficient cutting parameter optimization to fully understand the recent advances in this research area. The energy consumption characteristics of machining process are analyzed by decomposing total energy consumption into electrical energy consumption of machine tool and embodied energy of cutting tool and cutting fluid. Current studies on energy efficient cutting parameter optimization by using experimental design method and energy models are reviewed in a comprehensive manner. Combined with the current status, future research directions of energy efficient cutting parameter optimization are presented.

关键词： energy efficiency cutting parameter optimization machining process

A novel approach for remanufacturing process planning considering uncertain and fuzzy information

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Frontiers of Mechanical Engineering 2021年第3期16卷 546-558页

作者： Yan LV congbo li Xikun ZHAO Juan li lingling li State Key Laboratory of Mechanical Transmission Chongqing UniversityChongqing 400044China College of Engineering and Technology Southwest UniversityChongqing 400715China

Remanufacturing,as one of the optimal disposals of end-of-life products,can bring tremendous economic and ecological *** process planning is facing an immense challenge due to uncertainties and fuzziness of recoverable products in damage conditions and remanufacturing quality *** researchers have studied the influence of uncertainties on remanufacturing process planning,very few of them comprehensively studied the interactions among damage conditions and quality requirements that involve uncertain,fuzzy ***,this challenge in the context of uncertain,fuzzy information is undertaken in this paper,and a method for remanufacturing process planning is presented to maximize remanufacturing efficiency and minimize *** particular,the characteristics of uncertainties and fuzziness involved in the remanufacturing processes are explicitly *** optimization model is then developed to minimize remanufacturing time and *** solution is provided through an improved Takagi-Sugeno fuzzy neural network(T-S FNN)*** effectiveness of the proposed approach is exemplified and elucidated by a case *** show that the training speed and accuracy of the improved T-S FNN method are 23.5%and 82.5%higher on average than those of the original method,respectively.

关键词： remanufacturing uncertain and fuzzy information process planning T-S FNN

Integrated Optimization of Structure and Control Parameters for the Height Control System of a Vertical Spindle Cotton Picker

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Chinese Journal of Mechanical Engineering 2021年第6期34卷 405-416页

作者： Xingzheng Chen congbo li Rui Hu Ning liu Chi Zhang College of Engineering and Technology Southwest UniversityChongqing400715China State Key Laboratory of Mechanical Transmission Chongqing UniversityChongqing400044China Department of Mechanical Engineering National University of SingaporeSingapore119077Singapore

Vertical picking method is a predominate method used to harvest cotton ***,a vertical picking method may cause spindle bending of the cotton picker if spindles collide with stones on the cotton ***,how to realize a precise height control of the cotton picker is a crucial issue to be *** objective of this study is to design a height control system to avoid the *** design it,the mathematical models are established *** a multi-objective optimization model represented by structure parameters and control parameters is proposed to take the pressure of chamber without piston,response time and displacement error of the height control system as the opti-mization *** integrated optimization approach that combines optimization via simulation,particle swarm optimization and simulated annealing is proposed to solve the *** and experimental test results show that the proposed integrated optimization approach can not only reduce the pressure of chamber without piston,but also decrease the response time and displacement error of the height control system.

关键词： Cotton picker Height control system Structure parameters Control parameters Integrated optimization

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玻璃砂对防腐砂浆耐腐蚀性能的影响

广东建材 2024年第8期40卷 8-10页

作者：梁梓濠李从波吴建军赵文浩罗伟忠余小凤杨仁锦广州大学土木与工程学院

本文以废弃玻璃砂代替天然砂细骨料,采用硫铝酸盐水泥--硅酸盐水泥复配的技术手段配制的防腐砂浆的力学性能和抗氯离子渗透性能进行了系统研究,同时探讨了碱-硅酸(ASR)反应对防腐砂浆的影响。研究发现:当玻璃砂的替代率分别是10%、20%、... 详细信息

本文以废弃玻璃砂代替天然砂细骨料,采用硫铝酸盐水泥--硅酸盐水泥复配的技术手段配制的防腐砂浆的力学性能和抗氯离子渗透性能进行了系统研究,同时探讨了碱-硅酸(ASR)反应对防腐砂浆的影响。研究发现:当玻璃砂的替代率分别是10%、20%、30%、40%、50%,相比于对照组(100%天然砂)的强度下降分别为5.6%、9.8%、15.8%、15.9%和25.1%;玻璃砂可以提升砂浆的抗氯离子渗透性能,当玻璃砂替代率20%时,相比对照组6h小时的氯离子电通量下降了20.3%,其抗氯离子渗透性能最好;并且玻璃砂会导致掺入了玻璃砂的砂浆会发生ASR反应,其膨胀率在0.1%~0.2%。

关键词：废弃玻璃砂防腐蚀砂浆耐久性