Optimization of machining fixture layout using integrated response surface methodology and evolutionary techniques

Sundararaman, K. A.; Padmanaban, K.; Sabareeswaran, M.

doi:10.1177/0954406215592920

Cited by 25 publications

(15 citation statements)

References 17 publications

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“…The DEM has its advantages in analyzing discrete materials and FEM is already quite mature in solving continuum problems. 28–31 DEM is used in this study to explore the transportation property and the degree of wear of scraper conveyor. In addition, the FEM is also applied in studying the deformations of scraper conveyor.…”

Section: Introductionmentioning

confidence: 99%

The transporting efficiency and mechanical behavior analysis of scraper conveyor

Wang

Zhao-jian

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part C:

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Scraper conveyor is the main equipment for underground coal transportation, and its high-efficiency and smooth operation is of great significance to safety production. This study simulated the process of transporting bulk coal by the scraper conveyor using the discrete element method. Transporting efficiency of scraper conveyor affected by the chain speed, static frictional coefficient, particle size, and laying angle was studied. Then the relationship between the chain speed, static frictional coefficient and the chute wear was explored. The stress and deformation characteristics of the chute during the transportation were studied by coupling the discrete element method and finite element method. Results showed that the mass flow rate changed significantly with the chain speed and static frictional coefficient, while it varied slightly with the change of particle size and laying angle; the higher chain speed and larger bulk coal led to more serious wear of the chute, and large stress mainly concentrated at the direct contact area and the area under the impact load from the bulk coal. Therefore, when designing the chute structure, it is necessary to ensure the wear resistance and strength of the contact area on the chute. The results could provide a theoretical basis for structural optimization of scraper conveyor.

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Section: Introductionmentioning

confidence: 99%

The transporting efficiency and mechanical behavior analysis of scraper conveyor

Wang

Zhao-jian

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…The performance of GA and particle swarm optimization (PSO) also has been compared for the optimization of the developed quadratic model. 13 The same methodology was extended to optimize the fixture layout for 3D workpiece in the continuous domain of the solution space, by accounting the material removal effect. 14 The prediction ability of the quadratic models developed by integrating FEM and RSM, can influence the final solution accuracy.…”

Section: Introductionmentioning

confidence: 99%

Comparison of evolutionary techniques for the optimization of machining fixture layout under dynamic conditions

Sabareeswaran

Padmanaban

Sundararaman

2017

Proceedings of the Institution of Mechanical Engineers, Part C:

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Modern manufacturing industries are striving to improve the machining accuracy and productivity to reduce the rejection rate and unit cost of the machined parts. The properly designed fixture layout enables the designer to minimize the vibration so that the requisite machining accuracy can be achieved. During machining, especially in end milling, the intermittent engagement of multitooth cutter induces vibration on the workpiece. When the excitation frequency of multitooth cutter coincides with any one of the natural frequencies of the fixtured workpiece, it leads to the condition of resonance. The vibration increases under these circumstances, which degrades the machining accuracy and surface finish of the machined workpiece. Hence, the issues related to the design of fixture layout are to be addressed by recognizing the dynamic behavior of the fixture–workpiece system. In this research paper, finite element method is utilized to simulate the end milling operation and to determine the natural frequency of the workpiece. The main focus is to maximize the difference between natural frequency of the fixtured workpiece and excitation frequency of the cutter to minimize the vibration on the workpiece. Two different evolutionary techniques genetic algorithm and particle swarm optimization are employed to maximize the difference between these frequencies by optimizing the machining fixture layout. The performance of genetic algorithm and particle swarm optimization on the fixture layout optimization is compared. The comparison of results concludes that particle swarm optimization is the most appropriate approach than the genetic algorithm in achieving the better results.

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“…Many real-world and theoretical problems may be modeled in this general framework. [1][2][3] A priori and a posteriori are generally two approaches for optimizing multi-objective problems (MOPs). Many problems employed the a priori approach such as scalarization technique, where all preference information about fitness functions and their relative importance is known in advance.…”

Section: Introductionmentioning

confidence: 99%

Ship hull–propeller system optimization based on the multi-objective evolutionary algorithm

Ghassemi

Zakerdoost

2016

Proceedings of the Institution of Mechanical Engineers, Part C:

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The optimization of the hull–propeller system of a ship has always been one of the most important aspects of design in order to reduce the costs, mechanical losses and increase the life of system components. The proposed design methodology represents a comprehensive approach to optimize the hull–propeller system simultaneously. In this study, two objective functions are considered, i.e. lifetime fuel consumption (LFC) and lifetime cost function (Cost). The mission profile of the vessel is adopted to minimize the LFC and Cost over their operational life. The well-known evolutionary algorithm based on NSGA-II is employed to handle the multi-objective problems, where the main propeller and hull coefficients are the unknown and are considered as design variables. The results are presented for a commercial container ship driven by B-series propeller. Three different engines with the same mission profile were taken and the results revealed that the proposed method is an appropriate and effective approach for finding Pareto optimal solutions distributed uniformly and is able to improve both of the objective functions significantly and other performances of the system.

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Optimization of machining fixture layout using integrated response surface methodology and evolutionary techniques

Cited by 25 publications

References 17 publications

The transporting efficiency and mechanical behavior analysis of scraper conveyor

The transporting efficiency and mechanical behavior analysis of scraper conveyor

Comparison of evolutionary techniques for the optimization of machining fixture layout under dynamic conditions

Ship hull–propeller system optimization based on the multi-objective evolutionary algorithm

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