Diesel engine optimization with multi-objective performance characteristics by non-evolutionary Nelder-Mead algorithm: Sobol sequence and Latin hypercube sampling methods comparison in DoE process

Navid, Ali; Khalilarya, Shahram; Abbasi, Mohammad Reza

doi:10.1016/j.fuel.2018.04.142

Cited by 66 publications

(22 citation statements)

References 20 publications

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“…Similar simulation research on combustion chamber optimization was conducted by Navid et al [9] and Taghavifar [13]. The results of the works relate to high compression ratios (19.5:1).…”

Section: Impact Of the Combustion Chamber Shape On Engine Operating Isupporting

confidence: 53%

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Optimizing the Shape of a Compression-Ignition Engine Combustion Chamber by Using Simulation Tests

Pielecha

Merkisz

2019

Polish Maritime Research

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Modern solutions used in compression-ignition internal combustion engines are quite similar to each other. The use of high-pressure, direct fuel injection results in high combustion rates with controlled exhaust emissions. One of the combustion system quality criteria is to obtain adequately high thermodynamic indicators of the combustion process, which are obtained through, among others, the right combustion chamber geometry. Its shape influences the fuel atomization process, turbulence of fuel dose, evaporation and the combustion process. Optimizing the combustion chamber shape is one of the decisive factors proving the correct execution of the combustion process. This article presents the methodology of choosing the combustion chamber shape (changes of three selected combustion chamber dimensions) by using the optimization methods. Generating multidimensional data while maintaining the correlation structure was performed by using the Latin hypercube method. Chamber optimization was carried out by using the Nelder-Mead method. The combustion chamber shape was optimized for three engine load values (determined by the average indicated pressure) at selected engine operating conditions. The presented method of engine combustion chamber optimization can be used in low and high speed diesel propulsion engines (especially in maritime transport applications).

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“…Similar simulation research on combustion chamber optimization was conducted by Navid et al [9] and Taghavifar [13]. The results of the works relate to high compression ratios (19.5:1).…”

Section: Impact Of the Combustion Chamber Shape On Engine Operating Isupporting

confidence: 53%

“…The exhaust emission values were not analyzed in these works. In [9] several optimization methods were compared and a high similarity of the obtained results was noted.…”

Section: Impact Of the Combustion Chamber Shape On Engine Operating Imentioning

confidence: 98%

Optimizing the Shape of a Compression-Ignition Engine Combustion Chamber by Using Simulation Tests

Pielecha

Merkisz

2019

Polish Maritime Research

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“…Monte Carlo (MC) is a methodology that relies on repeated random sampling to generate numerical parameters probabilistically under different scenarios [32]. Random sampling (RS), Latin hypercube sampling (LHS), and Quasi-random sampling (QRS) are the three main sampling methods used in MC [33]. The RS method only samples parameters based on the Probability Density Function (PDF), which has uniform and normal distribution [34].…”

Section: Sensitivity Analysismentioning

confidence: 99%

An Integrated Sensitivity Analysis Method for Energy and Comfort Performance of an Office Building along the Chinese Coastline

Chen

Tsay

2021

Buildings

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This study aimed to evaluate the comprehensive percentage influence of input parameters on building energy and comfort performance by a new approach of sensitivity analysis (SA) and explore the most reliable and neutral sampling and sensitivity assessment method. The research combined 7 sampling methods with 13 SA methods to comprehensively integrate the percentage influence of 25 input parameters on building energy and comfort performance in 24 coastal cities of China. The results have found that the percentage influence of many important input parameters is affected by geographical position. Considering both energy and comfort performance of the building, the key parameters are heating setpoint, infiltration rate, cooling setpoint, roof U value, roof solar absorptance, window solar heat gain coefficient, equipment, and occupant density, all of which could comprehensively impact 70% of energy demand and comfort performance along the Chinese coastline. This is of great significance for policymakers to formulate relative building regulations. After comparing the F-test and the exceed percentage test, we recommended the Pearson with Quasi-random sampling method as the most reliable SA assessment method in building simulation, followed by the standardized regression coefficient in random sampling and Latin hypercube sampling methods, which can achieve data closest to the average value.

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“…(2) Adopt advanced approaches and novel optimization algorithms. For lightweight design of vehicles, foreign researchers have presented topology optimization algorithms, and structural optimization concepts, and combined them with finite-element analysis [12].…”

Section: Introductionmentioning

confidence: 99%

Finite-Element Analysis on Lightweight Material of Drive Axle Housing

Fang¹

2021

RCMA

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In actual engineering, the drive axle of vehicles is often enlarged to prevent it from being damaged. However, the enlargement will increase the weight of the vehicle, pushing up fuel consumption and exhaust emissions. This common practice is obviously detrimental to the environment and sustainable development. To meet the stiffness and strength requirements on the drive axle housing of Steyr heavy trucks, this paper carries out finite-element analysis on the stiffness and strength of the axile housing under different working conditions, in the light of its actual stress features. According to the production process of drive axle housing in truck, the authors reviewed the development of the materials for high-strength axle housing, which could be properly formed through hot stamping, cold stamping, and mechanical expansion, and briefly introduced the structural features of drive axle housing. Then, a drive axle model was established in the three-dimensional (3D) drawing software Pro/ENGINEER, and converted into a finite-element model in Pro/Mechanica by calling the meshing command. On this basis, the static load of axle housing was analyzed under four working conditions: maximum vertical force, maximum traction, maximum braking force, and maximum lateral force. Finite-element analysis was performed on the meshed model to obtain the displacement and stress cloud maps of the axle housing under each working condition. The results show that the drive axle housing satisfy the requirements on strength, stiffness, and deformation. To sum up, this research improves the design efficiency and quality of products through finite-element analysis on the stiffness and strength of drive axle housing.

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Diesel engine optimization with multi-objective performance characteristics by non-evolutionary Nelder-Mead algorithm: Sobol sequence and Latin hypercube sampling methods comparison in DoE process

Cited by 66 publications

References 20 publications

Optimizing the Shape of a Compression-Ignition Engine Combustion Chamber by Using Simulation Tests

Optimizing the Shape of a Compression-Ignition Engine Combustion Chamber by Using Simulation Tests

An Integrated Sensitivity Analysis Method for Energy and Comfort Performance of an Office Building along the Chinese Coastline

Finite-Element Analysis on Lightweight Material of Drive Axle Housing

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