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 1max (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;
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)
Fiabilitate şi Durabilitate - Fiability & Durability Supplement No 1/ 2016 Editura “Academica Brâncuşi” , Târgu Jiu, ISSN 1844 – 640X 195
Fiabilitate şi Durabilitate - Fiability & Durability Supplement No 1/ 2016 Editura “Academica Brâncuşi” , Târgu Jiu, ISSN 1844 – 640X 196
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
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