Improvement of cutting force and material removal rate for disc milling TC17 blisk tunnels using GRA–RBF–PSO method

Zhang, Nan; Shi, Yaoyao

doi:10.1177/0954406219848473

Cited by 12 publications

(4 citation statements)

References 25 publications

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“…In other multi-objective optimization studies, GRA was combined with modified nondominated sorting genetic algorithm (MNSGA-II), and the optimized results were compared with similarity to ideal solution (TOPSIS). 28,29 In another multi-objective optimization studies, a radial basis function (RBF) neural network was employed to map the relation between GRG and process parameters 30,31 and further the PSO algorithm was applied on the RBF prediction model to find the optimal value of GRG. For multi-objective optimization, Taguchi method, GRA, and RSM were also integrated to predict the optimal process condition.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-objective optimization for multi-stage sequential plastic injection molding with plating process using RSM and PCA-based weighted-GRA

Sreedharan

Jeevanantham

Ananthanarayanan

2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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The multi-stage sequential process with multi-objective is a complex problem to address as the decision made at a particular stage influences the subsequent stage and vice versa. In this article, the effects of input variables of plastic injection, mold, and different plating stages were investigated on different output responses, namely weldline, warpage, length, and various metal plating thicknesses. This paper investigates a real-time industrial data of manufacturing an automotive exterior part made of ABS material. A D-optimal experimental layout with 55 experiments was generated for eight input factors each at three levels. Nine different output responses in each experiment were normalized into a weighted grey relational grade using grey relational analysis coupled with principal component analysis. The solutions obtained by the analysis of variance on weighted grey relational grade, and by the desirability analysis of D-optimal were compared and validated. The confirmation experiments recorded an average improvement in cumulative process outputs as 40.56% by grey relational analysis and 38.50% by desirability analysis.

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Section: Literature Reviewmentioning

confidence: 99%

Multi-objective optimization for multi-stage sequential plastic injection molding with plating process using RSM and PCA-based weighted-GRA

Sreedharan

Jeevanantham

Ananthanarayanan

2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…Using conventional machining methods often results in low material removal rates, reduced precision and high tooling costs. 4 Electrochemical machining (ECM) is a process wherein the metal workpiece as the anode is anodized in the electrolyte to remove materials and realize the forming process. [5][6][7][8] ECM affords high processing efficiency and can process difficult-to-machine materials.…”

Section: Introductionmentioning

confidence: 99%

Research on depth control of machining trace in electrochemical trepanning

Zhu

Zhang

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part B:

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Electrochemical trepanning (ECTr) is a highly effective and economic manufacturing technology for machining difficult-to-cut metal materials that are often used in aeroengine components. Integral structural components such as blisks, diffusers, etc. are composed of hubs and blades. In continuous ECTr, machining trace stems from on the hub between adjacent blades. The depth of machining trace significantly influences the surface integrity of the integrated components, even causes the scrapping of the workpiece. In order to solve the problem of machining trace in ECTr, a cathode design method based on the relation between cathode profile and electric field distribution is proposed in this study, the edge of the cathode that affects the machining trace is chamfered. A electric field model of ECTr is established and dynamic electric field simulation of ECTr for cathodes with different chamfered edges is performed. The electric field intensity distribution at the cathode edge and the forming profile of the hub are compared. The simulation results show that optimal chamfering parameters can improve the machining trace. Subsequently, a group of cathodes with different chamfered edge is designed, and corresponding ECTr experiments are conducted. The optimal chamfering parameters are determined (α = 5°, b = 2 mm), the depth of the machining trace is reduced from 0.370 mm to 0.122 mm, the surface flatness is significantly improved. Overall, this depth control method of machining trace is verified effectively.

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“…25 Particle swarm optimization algorithm is proposed by Kennedy J and Eberhart R, which predicts the group behavior by simulating the migration and aggregation of birds in the foraging process. 26 Due to its simple implementation and efficiency in exploring global solutions, PSO has been used in multi-objective optimization such as kinematics and dynamics modeling, 27,28 selection of cutting parameters, 29 forecasting model of bearings, 30 and parameters of selftuning for PID controller in the electromechanical system. 31,32 However, the standard PSO easily falls into the local optimum, which causes slow convergence and low accuracy.…”

Section: Introductionmentioning

confidence: 99%

Research of permanent magnetic levitation system: Analysis, control strategy design, and experiment

Zhao

Sun

Jin

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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Aiming to realize levitation for a novel permanent magnetic levitation system, this paper proposes a double control strategy. The coupled dynamic model with two subsystems was established at first. According to the analysis of stable levitation, four joint control strategies of air gap length and rotation angle were designed. Then, the controller parameters tuning was implemented utilizing the improved PSO (particle swarm optimization) algorithm with non-linear inertia weight. At last, step response simulations and experiments were carried out to compare the performance of the proposed four control strategies. Results demonstrate the validity of PSO using for tuning proportional-integral-derivative (PID) parameters. In addition, the parallel double PD controller and cascade double PD controller both have better dynamic performance but more significant steady-state error. When using PID control for the air gap, the error could be eliminated. Compared with the parallel PID-PD control strategy, the cascade control is competitive in terms of 0.03 s rising time, 4.3 s settling time, and 24% peak overshoot.

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Improvement of cutting force and material removal rate for disc milling TC17 blisk tunnels using GRA–RBF–PSO method

Cited by 12 publications

References 25 publications

Multi-objective optimization for multi-stage sequential plastic injection molding with plating process using RSM and PCA-based weighted-GRA

Multi-objective optimization for multi-stage sequential plastic injection molding with plating process using RSM and PCA-based weighted-GRA

Research on depth control of machining trace in electrochemical trepanning

Research of permanent magnetic levitation system: Analysis, control strategy design, and experiment

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