Engine Exhaust Noise Optimization Using Sobol DoE Sequence and NSGA-II Algorithms

Sethi, Ishwinder Pal Singh; Nene, Devendra; Patil, Anand S.

doi:10.4271/2019-01-1483

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…This method is a multi-objective optimization method that has been widely used in solving different types of industrial problems. It has proven its relevance in solving problems of optimization of failure [25,26], problems of optimization of manufacturing costs [30], problems of optimization of safety and maintenance of equipment [31], design optimization issues [31][32][33], and various other types of industrial problems.…”

Section: Multi-objective Optimization Formulationmentioning

confidence: 99%

A Novel Approach for Integrating the Optimization of the Lifetime and Cost of Manufacturing of a New Product during the Design Phase

Guini¹,

Barkany²,

Jabri³

et al. 2021

SAE Int. J. Mater. Manf.

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Maximum lifetime and minimum manufacturing cost for new products are the primary goals of companies for competitiveness. These two objectives are contradictory and the geometric dimensions of the products directly control them. In addition, the earlier design errors of new products are predicted, the easier and more inexpensive their rectification becomes. To achieve these objectives, we propose in this article a novel model that makes it possible to solve the problem of optimizing the lifespan and the manufacturing cost of new products during the phase of their design. The prediction of the life of the products is carried out by an energy damage method implemented on the Finite Element (FE) calculation by using the ABAQUS software. The manufacturing cost prediction is carried out by applying the ABC cost estimation analytical method. In addition, the optimization problem is solved by the method of genetic algorithms. The proposed model can be successfully applied for the optimization of new mechanical products made by subtractive manufacturing. The products which mostly benefits from this model are those used in machines and in the automotive or aeronautic fields. The proposed approach can be directly used by the designer for an optimal preliminary design of new products whose manufacture is done by the same company or subcontracted entirely or partially by other companies.

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Section: Multi-objective Optimization Formulationmentioning

confidence: 99%

A Novel Approach for Integrating the Optimization of the Lifetime and Cost of Manufacturing of a New Product during the Design Phase

Guini¹,

Barkany²,

Jabri³

et al. 2021

SAE Int. J. Mater. Manf.

View full text Add to dashboard Cite

show abstract

Multi-objective optimization of two-stroke compression release braking performance of a heavy-duty engine based on non-dominated sorting genetic algorithm II (NSGA II)

Wang

Dong

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part D:

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Traditional heavy-duty vehicle service brakes use the friction method to realize vehicle deceleration, which means that longer-term use of the service brake will lead to overheating. It will make the braking capacity significantly reduced, at the same time, the service brake system also will wear much faster. Engine brake has been developed continuously in recent decades since it has the advantages of small install space and weight, no attenuation of braking power, rapid response, and endurance braking. However, the complex structure and large valve load of the valve train are the main obstacles to the widespread use of two-stroke compression release braking. Two-stroke compression release braking power is the effective indicator of the braking capacity and the maximum cylinder pressure (Pmax) can reflect the load of the valve train, therefore, the braking power and Pmax need to be optimized at the same time. In this paper, the multi-objective non-dominated sorting genetic algorithm II (NSGA II) was introduced to optimize the two-stroke compression release braking performance and it was compared with the orthogonal design method. The results indicated that the braking power and Pmax of optimal solution 1 by NSGA II achieved −395.64 kW and 59.37 bar, which were 1.17% and 2.78% improved than that of orthogonal analysis, respectively. In addition, the calculation process shows that NSGA II provides a more comprehensive and reliable method to optimize the valve parameters of the two-stroke compression release brake.

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Engine Exhaust Noise Optimization Using Sobol DoE Sequence and NSGA-II Algorithms

Cited by 2 publications

References 9 publications

A Novel Approach for Integrating the Optimization of the Lifetime and Cost of Manufacturing of a New Product during the Design Phase

A Novel Approach for Integrating the Optimization of the Lifetime and Cost of Manufacturing of a New Product during the Design Phase

Multi-objective optimization of two-stroke compression release braking performance of a heavy-duty engine based on non-dominated sorting genetic algorithm II (NSGA II)

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