A "design of experiment" and statistical approach to enhance the "generalised response surface" method in the optimisation of multiminima problems

Alotto, Piergiorgio; Gaggero, M.; Molinari, G.; Nervi, M.

doi:10.1109/20.582657

Cited by 37 publications

(18 citation statements)

References 6 publications

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“…Additionally, DOE is also considered as a well-known method for planning large scale experiments because DOE has the ability to generate the required number of runs in order to understand the behaviour of the parameters in study. DOE also has the ability to identify the key strategies for improving the efficiency of a particular system [25,26].…”

Section: Experimental Designmentioning

confidence: 99%

The Effect of Surface Parameters to the Performance of Reverse Engineering Process

et al. 2018

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Abstract. Reverse engineering (RE) process is capable of producing CAD models from the existing part without the need of a blueprints or CAD drawing. One of the method to implement RE is via 3D scanning and the main goal is to produce CAD files that have the highest accuracy possible when compared to the actual parts. Any effort to improve the 3D scanning process should be encouraged because it will save a lot of time and expenses. As a result, this research tends to investigate the effects of surface parameters (Percentage of triangles and Grids resolution) to the performance of RE. Design of Experiments (DOE) method was used and the responses are measured in terms of File size and Error percentage. From the results, it is very interesting to note that the percentage of triangles does not have a significant effect to the file size but plays a major role in minimizing the dimension error. The grids resolution has the significant effects to the file size and error percentage. It can also be concluded that in order to get the best RE performance, the percentage of triangles and file size should be set to maximum. This will ensure that the generated CAD files will have the highest accuracy and from here, high quality products can be made from the RE process.

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Section: Experimental Designmentioning

confidence: 99%

The Effect of Surface Parameters to the Performance of Reverse Engineering Process

et al. 2018

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“…The computation of discrete field values would require rather high effort, if applied to a large number of parameter vectors. Hence, the procedure of the maximum assessment is carried out using the multiquadric approximation [9,10] of magnetic field. The approximation is determined by an expression:…”

Section: Multiquadric Approximationmentioning

confidence: 99%

“…The stochastic optimization method shows the well-known advantages over the gradient-based methods, namely: (i) the parallel global minimum search technique, (ii) the simplified set-up of optimization task and (iii) the ability to find global minimum. The optimization procedure is carried out using the multiquadric approximation [9,10] of magnetic field, since the computed values are distributed in a set of discrete points through the volume of interest. The approximation based on radial basis functions is capable to handle multidimensional multiminima functions by interpolating their discrete data accurately.…”

Section: Introductionmentioning

confidence: 99%

Computation of maximal magnetic field value generated by a power substation

Kova¹,

Poljak²,

Kraljevi³

et al. 2007

Modelling in Medicine and Biology VII

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A procedure for the computation of the maximal value of extremely low frequency (ELF) magnetic fields from a power substation is proposed. The present technique is based on the multiquadric approximation of the magnetic field. The approximation is obtained using discrete field values calculated by the Biot-Savart law, where each energised substation conductor has been divided into a corresponding number of straight segments. The approximation sufficiently handles multidimensional multiextreme functions by interpolating their discrete values accurately. Subsequently, the maximal magnetic field value is evaluated by minimizing the negative multiquadric approximation via a stochastic optimization method -differential evolution. Therefore, the procedure provides the maximal field value assessment on the basis of the limited number of computed discrete values, thus reducing the computational cost.

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“…These steps are repeated until all geometries given by parameters' range have been simulated. From the geometries and the temperatures stored, a GOT builds response surfaces based on radial basis functions [9] (step 3) (see an example in Fig. 8).…”

Section: A Optimization Methodsmentioning

confidence: 99%

“…Losses per volumetric unit are described by the sum of resistive losses [first term of (8)] and dielectric losses (second term) (8) (9) where is the dielectric loss angle at the working frequency, the applied voltage, and One can notice that losses in the basic element do not depend on radius . The losses inside existing capacitor are shown in Fig.…”

Section: A Loss Modelmentioning

confidence: 99%

Optimization of low voltage metallized film capacitor geometry

Vuillermet

Caebec²,

Lupin

et al.

2006 12th Biennial IEEE Conference on Electromagnetic Field Computation

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Thermal constraint is one of the major cause of capacitor failures. In this paper, a loss model, based on electrode current distribution, is first established to determine, by numerical simulation, a temperature mapping of capacitor. This mapping is successfully compared to measurements. Then a shape optimization, coupling losses computing and finite-element method, is led in order to find parameters that give the best lifespan and the larger reactive power provided. Very interesting new geometries have been found out; they allow an increase in reactive power greater than the increase in volume.

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A "design of experiment" and statistical approach to enhance the "generalised response surface" method in the optimisation of multiminima problems

Cited by 37 publications

References 6 publications

The Effect of Surface Parameters to the Performance of Reverse Engineering Process

The Effect of Surface Parameters to the Performance of Reverse Engineering Process

Computation of maximal magnetic field value generated by a power substation

Optimization of low voltage metallized film capacitor geometry

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