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PRODUCT OPTIMIZATION METHOD BASED ON ANALYSIS OF OPTIMAL VALUES OF THEIR CHARACTERISTICS

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Fiabilitate şi Durabilitate - Fiability & Durability Supplement No 1/ 2016 Editura “Academica Brâncuşi” , Târgu Jiu, ISSN 1844 – 640X 193

PRODUCT OPTIMIZATION METHOD BASED ON ANALYSIS OF

OPTIMAL VALUES OF THEIR CHARACTERISTICS

Prof. univ. Emerit. Dr. Eng. Constantin D. STĂNESCU1

, Drd. Fiz. Elena

SCUTELNICU (PĂUN)2, Drd. Ing. Doina ENE3, Drd. Eng. Madalina SCUTELNICU (VANE)4 , Drd. Eng. Daniel VANE5

1

Polytechnic University of Bucharest; e-mail: prof_cstanescu@yahoo.com 2

Polytechnic University of Bucharest; e-mail: ellenapaun@yahoo.com 3

Polytechnic University of Bucharest; e-mail: doinaene@yahoo.com 4

Polytechnic University of Bucharest; e-mail: madalina.scutelnicu@yahoo.com 5

Polytechnic University of Bucharest; e-mail: vane.daniel@yahoo.com

Abstract. The paper presents an original method of optimizing products based on the analysis of optimal values of their characteristics . Optimization method comprises statistical model and analytical model . With this original method can easily and quickly obtain optimal product or material .

Keywords: optimization, matrix,

Introduction

The stages of the statistical model for optimization the materials or products are: 1) analyzing the functional role of material or product;

2) establishing the main properties: physical, chemical, mechanical and electrical, electronic, magnetic, optical, technological and economic or technical characteristics;

3) awarded marks by notes (n) (n = 0, properties or characteristics unimportant, n = 1 properties or important characteristics);

4) establishing the weights of each property (p) by assessing the percentage p = 1 ... 100%, the percentage of those who can participate in a property (feature) in relation to its involvement towards the functional role of the product;

5 ) replacing a table containing the data mentioned in paragraphs (1-4 ).

6) calculation the product (np) between the note (n) and the weight (p) for each material (product) considered;

Material (product, part etc. ) optimal results from the last column of the table in accordance with the relationship :

m i ip n 1

max (1)

where i = 1 ... m

The analytical model to optimize materials and products includes the following steps: - Cometion of steps 1...6 of the statistical model;

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Fiabilitate şi Durabilitate - Fiability & Durability Supplement No 1/ 2016 Editura “Academica Brâncuşi” , Târgu Jiu, ISSN 1844 – 640X 194

Mn = (2)

- Calculation of the Mnp product matrix between Mn matrix notes and the p percentages, expressed by the relationship:

Mn = (3)

- Preparing the program organizations to optimize the material (product, etc.) (Fig. 1) - Preparing theoretical flow chart to run the software on the electronic computer (Fig. 2) - Preparing numerical flow chart and entering data into the electronic computer (Fig. 3)

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Fiabilitate şi Durabilitate - Fiability & Durability Supplement No 1/ 2016 Editura “Academica Brâncuşi” , Târgu Jiu, ISSN 1844 – 640X 195

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Fiabilitate şi Durabilitate - Fiability & Durability Supplement No 1/ 2016 Editura “Academica Brâncuşi” , Târgu Jiu, ISSN 1844 – 640X 196

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Fiabilitate şi Durabilitate - Fiability & Durability Supplement No 1/ 2016 Editura “Academica Brâncuşi” , Târgu Jiu, ISSN 1844 – 640X 197

2.APPLICATION OF THE METHOD TO OPTIMIZE INDUSTRIAL PRODUCTS

If the fabric optimization:

Table 1 presents data to optimize fabric

Table 1. Optimizing quality fabric

STOFA OPTIMĂ =( )max = 0,90

The notes matrix used to optimized fabric is represented by the relation 4:

Mn = (4)

Mnp product matrix between the Mn notes matrix and the percentages (p) to optimize the

fabric is given by five. (5)

Mnp =

If railway wagons optimization:

Table 2 shows data for optimization of the railway wagons.

0,2 0,1 0,1 0 0,05 0 0,05 0 0,1 0

0,2 0,1 0,1 0 0,05 0,05 0 0,05 0,1 0,2

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Fiabilitate şi Durabilitate - Fiability & Durability Supplement No 1/ 2016 Editura “Academica Brâncuşi” , Târgu Jiu, ISSN 1844 – 640X 198

Tabelul 2. Optimizing wagons CFR

VAGONUL OPTIM=( )max = 1,0

The wagon Mn matrix notes used to optimize the relationship is represented by six.

Mn = (6)

Mnp product matrix between the Mn notes matrix and the percentages (p) to optimize wagons is given by seven.

(7)

Mnp=

3. CONCLUSIONS

The calculation performed using the statistical model and the analytical model has led to the same values .

REFERENCES

1. Stanescu ,C. D,- Tehnologia materialelor, UPB 1992

2. Stanescu ,C. D, - Tehnologii speciale pentru industria energetica, OUD 1998

3. Stanescu ,C. D, Ene, D., Costner James, - Reserch of modelling by finite elements Method of Trying to impact using ANSYS and LS-DYNA Programs: International Conference on Material Science and Enginering (MSME) 2013 Chicago, U.S.A.

4. Stanescu ,C. D, Ene, D., -Theoretical research on the modelling of caractheristic of composite materials, SISOM, 2015, Academia Romana

5. Stanescu ,C. D, Ene, D., Costner James, - Experimentals researchs for development high-power audio speaker devices, in principal Mechanical Engienering Academy U.S.A., 2014

0,1 0 0,05 0,05 0,05 0 0 0,05 0 0,2

0,1 0,2 0,05 0,05 0,05 0,1 0,1 0,05 0,2 0,2

Referências

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