Trade-off analysis in multi-objective optimization using Chebyshev orthogonal polynomials

Baek, Su‐Jin; Cho, Seok-Swoo; Kim, Hyun-Su; Joo, Won-Sik

doi:10.1007/bf02917519

Cited by 12 publications

(5 citation statements)

References 14 publications

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“…Also, since every term in an orthogonal polynomial is independent of each other, the estimates of the regression coefficient can be calculated successively from low order to higher order. This enables the derivation of an efficient approximation model, since the base can be normalized even when the coefficient of the higher order is not known or the coefficient difference becomes large [19,22].…”

Section: Taguchi Optimization Technique With Missing Datamentioning

confidence: 99%

“…Estimate the missing value by using the approximation model and take this value as the first approximate value. The approximation model uses the Chebyshev orthogonal polynomial P n (x), where the degree of the design variable x is n [19][20][21][22]. If these are expressed in the form of a second-order polynomial, and can be expressed as Eq.…”

Section: Taguchi Optimization Technique With Missing Datamentioning

confidence: 99%

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Optimization of process parameters for recycling of mill scale using Taguchi experimenal design

et al. 2010

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The present work submits an investigation about the optimum process parameters and quality improvement of mill scale recycling. With increasing concerns on environmental issues, the recycling of materials of all types has become an important issue. In this paper, an optimization method is developed to improve quality in mill scale recycling. The optimum configuration of process parameters to achieve high metallization efficiency was determined by experiments. The Taguchi method, the signal-to-noise (S/N) ratio, the analysis of variance (ANOVA) and rsponse surface optimization are employed to find the main effects and to determine their optimum process parameters. The significant process parameters were identified and their effects on mill scale recycling were studied. Finally, a confirmation experiment with the optimal levels of the process parameters was carried out to demonstrate the effectiveness of the Taguchi method.

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Section: Taguchi Optimization Technique With Missing Datamentioning

confidence: 99%

Section: Taguchi Optimization Technique With Missing Datamentioning

confidence: 99%

Optimization of process parameters for recycling of mill scale using Taguchi experimenal design

et al. 2010

Self Cite

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“…8). Based on this assumption, the applied force on the inner and outer contact region is 1.1MN and 2.9MN, respectively 15,16 …”

Section: Fatigue Strength Analysis Of the Table Linermentioning

confidence: 99%

“…Based on this assumption, the applied force on the inner and outer contact region is 1.1MN and 2.9MN, respectively. 15,16 Figure 9 shows the FEA of the table liner. The maximum principal stress of 222.3 MPa was obtained at the loading point.…”

Section: Failure Accident Of the Table Linermentioning

confidence: 99%

Industrial experiences of bending fatigue strength in table liner for cement mill

Baek

Cho

Joo

2010

Fatigue Fract Eng Mat Struct

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A B S T R A C T Atable liner for the vertical roller mill has been used to grind natural limestone. Unexpected fatigue failure accidents have occurred during portland cement manufacturing process. The design life of a table liner is 4 × 10 7 cycles, but the actual fatigue life of a table liner is 2 × 10 6 to 8 × 10 6 cycles. The fatigue crack of a table liner initiates from the outside edge of the grinding path of the limestone. When such a crack occurs, the table liner has to be replaced, and this requires 30% of the total maintenance cost of the vertical roller mill. Therefore, this study examines the fatigue failure of a table liner by plane-bending fatigue test, stress measurement test, finite element analysis and fatigue fracture analysis.

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“…To improve productivity and/or minimize production time and cost, optimization of a production plan or optimal scheduling is a critical step. There have been extensive research efforts to develop a variety of optimization techniques and apply them to numerous fields in mechanical engineering including scheduling [3][4][5][6][7][8][9]. Also, in steel making, researchers have performed continual investigations for scheduling or production planning of a steel mill.…”

Section: Introductionmentioning

confidence: 99%

Optimization of mixed casting processes considering discrete ingot sizes

Park

Yang

2009

J Mech Sci Technol

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Using linear programming (LP), this research devises a simple and comprehensive scheduling methodology for a complicated, yet typical, production situation in real foundries: a combination of expendable-mold casting, permanentmold casting and automated casting for large-quantity castings. This scheduling technique to determine an optimal casting sequence is successfully applied to the most general case, in which various types of castings with different alloys and masses are simultaneously produced by dissimilar casting processes within a predetermined period. The methodology proves to generate accurate scheduling results that maximize furnace or ingot efficiency. For multivariable and multi-constraint optimization problems per se, it provides an extremely practical solution which is readily implemented in most real-world casting plants. In addition, incorporating ingot adjustment from the reality of discrete ingot size, this LP scheduling can assist the casting industry in strengthening its competence by heightening ingot utilization as well as satisfying due dates.

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Trade-off analysis in multi-objective optimization using Chebyshev orthogonal polynomials

Cited by 12 publications

References 14 publications

Optimization of process parameters for recycling of mill scale using Taguchi experimenal design

Optimization of process parameters for recycling of mill scale using Taguchi experimenal design

Industrial experiences of bending fatigue strength in table liner for cement mill

Optimization of mixed casting processes considering discrete ingot sizes

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