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ENGINEERING RESEARCH EXPRESS 2024年第2期6卷

作者： Jiang, Xiaojun Zhan, Hongfei Yu, Junhe Wang, Rui Ningbo Univ Coll Mech Engn & Mech Ningbo Peoples R China

Product quality is a critical factor in manufacturing industry competition, and mechanical processing technology has been widely applied in manufacturing, directly affecting product quality. Therefore, it is very important to find the appropriate optimal parameters to improve the impact of processing on product quality. However, modern production processes are characterized by complex mechanisms and the mutual influence of multiple processes, which poses higher challenges for optimizing processing technology parameters. In this regard, the thesis proposes a method for optimizing process parameters in multi-process manufacturing based on an improved marine predator algorithm, aiming to optimize and improve process parameters in multi-process manufacturing processes. Firstly, a multi-process modeling strategy is adopted to explore the nonlinear relationship between process parameters and quality indicators based on multi-gene genetic planning, establishing a multi-process parameter optimization objective model. This effectively solves the problem of modeling difficulty caused by severe coupling of multiple processes. Then, to improve the efficiency of solving the optimization objective model, an improved marine predator algorithm is proposed, utilizing reverse learning strategies and mixed control parameters to enhance optimization capability, thereby obtaining the global optimal solution. Finally, using production process data from a certain factory as an example, the feasibility of the proposed method is verified, achieving the goal of multi-process process parameter optimization and ensuring the stability of product quality.

关键词： process parameter optimization multistage manufacturing improved marine predator algorithm multigene genetic programming

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process parameter optimization of a Laser Clad Fe-Based Alloy Using Response Surface Methodology (RSM)

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LASERS IN ENGINEERING 2021年第1-5期51卷 279-298页

作者： Lin, J-Y Han, B. Han, X-R Wang, H. Cui, W-H Univ Jinan Sch Mech Engn 106 Jiweilu Jinan 250022 Shandong Peoples R China

Given the severe waste of cold work moulds in the small batch production stage, a low cost 45 steel surface laser cladding Fe901 coating was proposed to replace cold work mould steel in this stage. Combining with the performance requirements of moulds, the laser cladding process parameters were optimized with the coating surface hardness as the goal. The optimized process parameters were laser power, powder feeding rate and scanning speed. 20 runs of cladding tests were carried out based on the central composite design method. Using Design-Expert software, the hardness-process parameter objective function model was obtained, and the reliability of the model was verified. The cladding process parameters were optimized based on the response surface method. It was found that the optimal ranges of laser power were 1600 to 2100 W, scanning speed were 9.5 to 13.0 mm/s and powder feeding rate were 24.0 to 34.0 g/min. This conclusion showed that the coating could reach the hardness index of cold work die steel.

关键词： High power diode laser (HPDL) 45 steel mould steel Fe901 coating laser cladding hardness process parameter optimization central composite design (CCD) response surface methodology (RSM)

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A split-optimization approach for obtaining multiple solutions in single-objective process parameter optimization

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SPRINGERPLUS 2016年第1期5卷 1页

作者： Rajora, Manik Zou, Pan Yang, Yao Guang Fan, Zhi Wen Chen, Hung Yi Wu, Wen Chieh Li, Beizhi Liang, Steven Y. Georgia Inst Technol George W Woodruff Sch Mech Engn Atlanta GA 30332 USA Donghua Univ Mech Engn Coll Shanghai 201620 Peoples R China Met Ind Res & Dev Ctr Reg R&D Serv Dept Taichung 407 Taiwan

It can be observed from the experimental data of different processes that different process parameter combinations can lead to the same performance indicators, but during the optimization of process parameters, using current techniques, only one of these combinations can be found when a given objective function is specified. The combination of process parameters obtained after optimization may not always be applicable in actual production or may lead to undesired experimental conditions. In this paper, a split-optimization approach is proposed for obtaining multiple solutions in a single-objective process parameter optimization problem. This is accomplished by splitting the original search space into smaller sub-search spaces and using GA in each sub-search space to optimize the process parameters. Two different methods, i.e., cluster centers and hill and valley splitting strategy, were used to split the original search space, and their efficiency was measured against a method in which the original search space is split into equal smaller sub-search spaces. The proposed approach was used to obtain multiple optimal process parameter combinations for electrochemical micromachining. The result obtained from the case study showed that the cluster centers and hill and valley splitting strategies were more efficient in splitting the original search space than the method in which the original search space is divided into smaller equal sub-search spaces.

关键词： Split-optimization Multiple solutions process parameter optimization Genetic algorithm (GA) Electrochemical micro-machining (EMM)

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process Simulation and process parameter optimization of Large Automobile Cover Die Hard Milling

Process Simulation and Process Parameter Optimization of Lar...

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4th International Conference on High Speed Machining

作者： Guo, K. Liu, X. L. Yue, C. X. Huang, J. C. Li, W. T. Harbin Univ Sci & Technol Mech & Power Engn Coll Harbin 150080 Peoples R China China First Heavy Ind Fulaerji 161042 Peoples R China

ISBN: (纸本)9783037850671

Large automobile cover die with complex characteristics and high hardness after quenching is mainly applied hard milling. In processing, large tool vibration, short cutting-life and much time-consuming increase the die manufacturing cost. In this paper, the relationships of cutting speed with achining efficiency and thickness with tool life are considered in the optimization method. The optimization method based on VERICUT uses the relationships to improve machining efficiency and tool life, thus reduce the large automobile cover die processing costs. The simulation and the optimization laid the foundation for the follow-up physical simulation and experiment.

关键词： Large automobile cover die Hard-milling process simulation process parameter optimization

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Carbon Emissions Reducing Mechanisms on Integrated process parameter optimization and Scheduling Problem Considering Makespan and Carbon Emissions

Carbon Emissions Reducing Mechanisms on Integrated Process P...

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3rd International Conference on Energy, Environment and Sustainable Development (EESD 2013)

作者： Lin, Wenwen Yu, D. Y. Zhang, Chaoyong Wang, S. Xie, Zhanpeng Liu, Shengqiang Tian, Yuhui Huazhong Univ Sci & Technol Sch Mech Sci & Engineer Wuhan 430074 Peoples R China Southeast Missouri State Univ Dept Ind Engn Technol Cape Girardeau MO USA China Natl Heavy Duty Truck Grp Co Ltd Jinan PR Peoples R China Dong Hoteam Software Co Ltd Jinan PR Peoples R China

ISBN: (纸本)9783037859759

This paper develops an integrated process parameter optimization and scheduling problem, where process parameter optimization and flow shop scheduling are considered simultaneously. Two objectives are taken into account: minimize makespan and carbon emissions. Non-dominated sorting genetic algorithm is adopted to handle such a problem. Then, the researchers propose two carbon emission reducing mechanisms to optimize the scheduling results: postponing mechanism, and process parameter preliminary optimization (PPPOM) mechanism. There are four cases depending on whether or not mechanisms are employed. The effects of those mechanisms on minimum objective functions, number of non-dominated solutions and quality of non-dominated solutions are studied. The results indicate that those mechanisms have significant influence on the optimization results. Better non-dominated solutions are produced when more mechanisms are employed.

关键词： process parameter optimization flow shop scheduling NSGA-Pi green manufacturing

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Research on process parameter optimization Of the High-neck Flange Closed Rolling Based on the Orthogonal Experimental Design

Research on Process Parameter Optimization Of the High-neck ...

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International Symposium on Vehicle, Mechanical, and Electrical Engineering (ISVMEE 2013)

作者： Sun, Baoshou Hong, Zhe Xu, Longqing Shu, Xuedao Gu, Boqin Huang, Xiaodiao Nanjing Univ Technol Coll Mech & Power Engn Nanjing 210009 Peoples R China Ningbo Univ Fac Mech Engn & Mech Ningbo 315211 Zhejiang Peoples R China

ISBN: (纸本)9783038350033

This paper simulates the process of the high-neck flange closed rolling on DEFORM-3D and optimizes the rolling process parameter by analyzing the results based on the orthogonal experimental design. For the high-neck flange, the results show that the effects on ellipticity are in the order of the mandrel feed speed, the main roll rotational speed and initial blank temperature. The former two factors show the significance while the initial blank temperature does not show that.

关键词： High-neck Flange Closed Rolling Orthogonal Experimental Design process parameter optimization

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Additive Manufacturing process parameter optimization for Titanium-Alloy Orthopedic Implants

Additive Manufacturing Process Parameter Optimization for Ti...

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ASME International Mechanical Engineering Congress and Exposition (IMECE)

作者： Gaur, Bhanupratap Ghyar, Rupesh Ravi, Bhallamudi Indian Inst Technol Dept Mech Engn BETIC Lab Mumbai Maharashtra India

ISBN: (纸本)9780791885598

Orthopedic implants are widely used for treating bone tumors and trauma defects in patients. The complex and organic geometry of patient-customized implants (PCIs) required in single order quantity makes them suitable for fabrication using additive manufacturing technologies such as Laser beam powder bed fusion. While there is considerable technical literature on these technologies, the choice of optimal process parameters to obtain the required quality considering the relevant applicable international quality standards for orthopedic implants is still a major challenge for the manufacturers. This experimental work relies on the minimum requirements of various mechanical properties recommended by ASTM F3001-14 and ASTM F136-13 standards for determining the optimal process parameters for PCI manufacture. Ti6A14V ELI (Titanium-6Aluminum-4Vanadium Extra-Low-Interstitial) alloy test samples were fabricated using a Direct Metal Laser Sintering (DMLS) system. The three most critical printing parameters, namely, laser power, laser velocity and hatch distance, were varied in three levels using the Taguchi approach. Properties such as ultimate tensile strength, percentage elongation and part density were considered for optimizing the process parameter combinations using VIKOR, a multi-criteria decision-making technique. The results show that a combination of moderate laser power, high laser velocity and low hatch distance values produce implants with superior mechanical properties. The proposed methodology and results are expected to help researchers and manufacturers in choosing the initial process parameters for PCI fabrication.

关键词： patient-customized orthopedic implants process parameter optimization laser-beam powder bed fusion mechanical properties

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A NOVEL METHODOLOGY FOR process parameter optimization BASED ON SUPPORT VECTOR DATA DESCRIPTION

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INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE 2020年第5期27卷 665-677页

作者： Xu, Gang Dong, Qianqian Zhang, Xiaotong Li, Min Univ Sci & Technol Beijing Collaborat Innovat Ctr Steel Technol Beijing Peoples R China Univ Sci & Technol Beijing Sch Comp & Commun Engn Beijing Peoples R China

A novel methodology for process parameter optimization based on support vector data description (SVDD) is proposed to improve the quality of steel products and reduce the mass quality problems caused by the inability to timely adjust the production process parameters. First, the control limit is calculated by the SVDD method with normal samples. Next, the normal samples adjacent to abnormal samples are selected based on the Euclidean distance and used to construct the optimization rules, which are adopted to optimize the production process. The effectiveness of the proposed method is verified using a dataset from a steel production process. The results indicate that the methodology has good applicability in complex production processes with nonlinear and strong correlation characteristics.

关键词： support vector data description process monitoring product quality modeling process parameter optimization

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Temperature field analysis and process parameter optimization during L-PBF of Al-Mg-Sc-Zr alloy

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OPTICS AND LASER TECHNOLOGY 2024年 175卷

作者： Yang, Qin-wen Yi, Chuan-ming Xiao, Gang Hunan Univ Mech & Vehicle Engn Changsha 410082 Peoples R China Jiangxi Copper Technol Res Inst Co Ltd Nanchang 330096 Peoples R China

To improve the relative density and decrease the manufacturing deficiency, a 3D finite element model of multi-layer and multi-track, considering material state transition and temperature-dependent and anisotropic thermal properties, was established and validated to study the temperature field and optimize the process parameters of laser powder bed fusion. The effects of process parameters on cooling rate and liquid lifetime of molten pool were investigated with numerical simulation. Then a process parameter optimization method considering thermal behavior of molten pool, track space overlap of molten pool and VED constraint conditions was proposed to obtain the optimal process parameter window. The results show that the evolution of temperature field tends to be stable till the third layer of powder bed. The cooling rate and liquid lifetime of molten pool are mainly affected by laser power and scanning speed. The influence of process parameters on the overlap rate of molten pool is ranked as follows: laser power > scanning speed > hatch spacing. The laser power of 200-250 W, scanning speed of 0.8-1.0 m/s, hatch spacing of 120-140 mu m, and volumetric energy density of 60-80 J/mm(3) can contribute to a sound metallurgical bonding between the neighbor layers and tracks.

关键词： Laser powder bed fusion Finite element model Temperature field Track space overlap of molten pool process parameter optimization

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Voxelization modelling based finite element simulation and process parameter optimization for Fused Filament Fabrication

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MATERIALS & DESIGN 2020年 187卷

作者： Zhou, Yong Lu, Han Wang, Gongxian Wang, Junfeng Li, Weidong Wuhan Univ Technol Sch Logist Engn Wuhan 430063 Peoples R China Minist Educ Engn Res Ctr Port Logist Technol & Equipment Wuhan 430063 Peoples R China Shenzhen Technol Univ Coll Creat Design Shenzhen 518118 Peoples R China

In this paper, a novel approach of voxelization modelling-based Finite Element (FE) simulation and process parameter optimization for Fused Filament Fabrication (FFF) is presented. In the approach, firstly, a general meshing method based on voxelization modelling and automatic voxel element sorting is developed. Then, FE based simulation for the FFF process is conducted by combining the ANSYS Parametric Design Language (APDL) with the element birth and death technique. During the simulation, the influence of key process parameters on the temperature field, including scanning speed, molding chamber temperature and nozzle temperature, is analyzed in detail. Furthermore, an experimental platform with an adjustable molding chamber temperature for the FFF parts is established. Case studies for making Acrylonitrile Butadiene Styrene (ABS)-based parts were carried out to validate the approach. Results showed that among the process parameters, the molding chamber temperature had the most significant effect on the warping deformation of the FFF parts. The optimal parameters for the FFF process with ABS under the analyzed conditions were 50 minis for the scanning speed, 80 degrees C for the molding chamber temperature of, and 180 degrees C for the nozzle temperature, respectively. (C) 2019 The Authors. Published by Elsevier Ltd.

关键词： Fused Filament Fabrication (FFF) process parameter optimization Voxelization Finite element (FE) simulation

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