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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

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

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

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

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

面向能量效率的数控铣削加工参数多目标优化模型

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机械工程学报 2016年第21期52卷 120-129页

作者：李聪波朱岩涛李丽陈行政重庆大学机械传动国家重点实验室重庆400030 西南大学工程技术学院重庆400715

切削参数是数控加工工艺中的重要组成,切削参数的合理选择能够显著影响到机床能量效率。为提高机床能量效率,分析数控铣削加工的能耗构成特性和加工时段能耗特性,建立数控铣削加工能耗模型,并通过非线性回归拟合获取能耗模型的相关系数... 详细信息

切削参数是数控加工工艺中的重要组成,切削参数的合理选择能够显著影响到机床能量效率。为提高机床能量效率,分析数控铣削加工的能耗构成特性和加工时段能耗特性,建立数控铣削加工能耗模型,并通过非线性回归拟合获取能耗模型的相关系数,建立了以最高能量效率和最小加工时间为目标的多目标优化模型,采用连续禁忌算法对模型进行优化求解。通过算法优化结果与试验结果进行对比分析,验证了能效模型的有效性。

关键词：切削参数数控铣削加工能量效率多目标优化

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面向高效低碳的数控加工参数多目标优化模型

机械工程学报 2013年第9期49卷 87-96页

作者：李聪波崔龙国刘飞李丽重庆大学机械传动国家重点实验室重庆400030 重庆大学管理科学与工程博士后流动站重庆400030

数控加工是目前机械制造系统广泛采用的一种加工方法,为实现数控加工的低碳化,研究数控车削加工的高效低碳切削参数优化问题。建立切削加工过程时间目标函数和包含电能碳排放、刀具碳排放、切削液碳排放的碳排放目标函数。然后,考虑加... 详细信息

数控加工是目前机械制造系统广泛采用的一种加工方法,为实现数控加工的低碳化,研究数控车削加工的高效低碳切削参数优化问题。建立切削加工过程时间目标函数和包含电能碳排放、刀具碳排放、切削液碳排放的碳排放目标函数。然后,考虑加工过程中机床设备性能和加工质量的实际约束条件,建立以数控加工的切削速度和进给量为优化变量,以最小加工时间(高效)和最低碳排放(低碳)为优化目标的多目标优化模型。引入权重系数将其转化单目标优化模型,并应用复合形法对优化模型进行优化求解。通过某具体实例验证了所建模型的有效性,并对优化结果和优化变量的灵敏度进行了分析。

关键词：数控加工高效低碳切削参数多目标优化复合形法

面向能耗的多工艺路线柔性作业车间分批优化调度模型

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机械工程学报 2017年第5期53卷 12-23页

作者：李聪波沈欢李玲玲易茜重庆大学机械传动国家重点实验室重庆400030

合理的调度方案能有效降低柔性作业车间总能耗。针对柔性作业车间中加工工件种类多、单批工件数量大、加工工艺路线柔性大等问题,研究一种面向能耗的多工艺路线柔性作业车间分批优化调度模型。分析柔性作业车间中工件加工过程能耗特性,... 详细信息

合理的调度方案能有效降低柔性作业车间总能耗。针对柔性作业车间中加工工件种类多、单批工件数量大、加工工艺路线柔性大等问题,研究一种面向能耗的多工艺路线柔性作业车间分批优化调度模型。分析柔性作业车间中工件加工过程能耗特性,以车间总能耗最低和完工时间最小为优化目标建立了多工艺路线柔性作业车间分批优化调度模型,并采用多目标模拟退火算法对模型进行优化求解。通过算法优化得到的调度方案与经验调度方案的对比分析,验证了该模型的有效性和实用性。

关键词：柔性作业车间调度能耗多工艺路线分批

基于关键链的再制造系统不确定性生产调度方法

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机械工程学报 2011年第15期47卷 121-126页

作者：李聪波刘飞易茜李成川重庆大学机械传动国家重点实验室重庆400030

针对再制造系统生产调度的不确定性问题,提出一种基于关键链的再制造系统不确定性生产调度方法。基于单代号网络图(Activity-on-node,AON)对再制造系统调度问题进行参数描述,并建立再制造系统生产调度模型,对目标函数和约束条件进行描... 详细信息

针对再制造系统生产调度的不确定性问题,提出一种基于关键链的再制造系统不确定性生产调度方法。基于单代号网络图(Activity-on-node,AON)对再制造系统调度问题进行参数描述,并建立再制造系统生产调度模型,对目标函数和约束条件进行描述。基于关键链理论对模型进行求解,将再制造生产调度问题看作是不确定性的资源受限型项目调度,以平均作业时间求得基准调度;将基准调度作为AON网络图中的资源约束,综合考虑AON网络图中的工序约束和资源约束得出再制造生产调度的关键链;再通过压缩作业时间、设置缓冲区以解决再制造工艺时间的不确定性问题,获得最终的调度方案。将该方法应用到某再制造车间的生产调度实践中,并用Crystal Ball软件对调度结果进行仿真。

关键词：再制造不确定性生产调度关键链