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Abstract

The aim of this paper is to present methods of digitally synthesising the sound generated by vibroacoustic systems with distributed parameters. A general algorithm was developed to synthesise the sounds of selected musical instruments with an axisymmetrical shape and impact excitation, i.e., Tibetan bowls and bells. A coupled mechanical-acoustic field described by partial differential equations was discretized by using the Finite Element Method (FEM) implemented in the ANSYS package. The presented synthesis method is original due to the fact that the determination of the system response in the time domain to the pulse (impact) excitation is based on the numerical calculation of the convolution of the forcing function and impulse response of the system. This was calculated as an inverse Fourier transform of the system’s spectral transfer function. The synthesiser allows for obtaining a sound signal with the assumed, expected parameters by tuning the resonance frequencies which exist in the spectrum of the generated sound. This is accomplished, basing on the Design of Experiment (DOE) theory, by creating a meta-model which contains information on its response surfaces regarding the influence of the design parameters. The synthesis resulted in a sound pressure signal in selected points in space surrounding the instrument which is consistent with the signal generated by the actual instruments, and the results obtained can improve them.
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Authors and Affiliations

Andrzej Gołaś
Roman Filipek
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Abstract

Resistance spotwelding is the most significant joining technique utilized in various industries, like automotive, boilers, vessels, etc., that are commonly subjected to variable tensile-shear forces due to the unsuitable use of the input spot welding variables, which mainly cause the welded joints failure during the service life of the welded assembly. So, in order to avoid such failures, the welding quality of some materials like aluminum must be improved taking into consideration the performance and weight saving of the welded structure. Thus, the need for optimizing the used welding parameters becomes essential for predicting a goodwelded joint.Accordingly, this study aims at investigating the influence of the spot welding variables, including the squeeze time, welding time, and current on the tensile-shear force of the similar and dissimilar lap joints for aluminum and steel sheets. It was concluded that the use of Taguchi design can improve the welded joints strength through designing the experiments according to the used levels of the input parameters in order to obtain their optimal values that give the optimum tensile-shear force as the response. As a consequence of the present work, the optimal spot welding parameters were successfully obtained.

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Bibliography

[1] Metals Handbook. Welding, Brazing, and Soldering, volume 6. ASM International, Materials Park, OH,1993.
[2] N. Mookam. Optimization of resistance spot brazing process parameters in AHSS and AISI 304 stainless steel joint using filler metal. Defence Technology, 15(3):450–456, 2019. doi: 10.1016/j.dt.2019.03.005.
[3] J. Valera, V. Miguel, A. Martínez, J. Naranjo, and M. Cañas.. Optimization of electrical parameters in Resistance Spot Welding of dissimilar joints of micro-alloyed steels TRIP sheets. Procedia Manufacturing, 13:291–298, 2017. doi: 10.1016/j.promfg.2017.09.074.
[4] T.R. Mahmood, Q.M. Doos, and A.M. Al-Mukhtar. Failure mechanisms and modeling of spot welded joints in low carbon mild sheets steel and high strength low alloy steel. Procedia Structural Integrity, 9:71–85, 2018. doi: 10.1016/j.prostr.2018.06.013.
[5] S.K. Hussein and O.S. Barrak. Analysis and optimization of resistance spot welding parameter of dissimilar metals mild steel and aluminum using design of experiment method. Engineering and Technology Journal, 33(8):1999–2011, 2015.
[6] Y. Lu, E. Mayton, H. Song, M. Kimchi, and W. Zhang. Dissimilar metal joining of aluminum to steel by ultrasonic plus resistance spot welding – Microstructure and mechanical properties. Materials and Design, 165:107585, 2019. doi: 10.1016/j.matdes.2019.107585.
[7] A. Subrammanian, D.B. Jabaraj, and J. Jayaprakash. Multi-objective optimization of resistance spot welding of AISI 409M ferritic stainless steel. Journal of Scientific & Industrial Research, 77:271–275, 2018.
[8] B. Vijaya Sankar, I.D. Lawrence, and S. Jayabal. Prediction of spot welding parameters for dissimilar weld joints. Bonfring International Journal of Industrial Engineering and Management Science, 6(4):123–127, 2016. doi: 10.9756/bijiems.7542.
[9] M. Pradeep, N.S. Mahesh, and R.M. Hussain. Process parameter optimization in resistance spot welding of dissimilar thickness materials. International Journal of Mechanical and Mechatronics Engineering, 8(1):80–83, 2014.
[10] M.J. Zedan and Q.M. Doos. New method of resistance spot welding for dissimilar 1008 low carbon steel-5052 aluminum alloy. Procedia Structural Integrity, 9:37–46, 2018. doi: 10.1016/j.prostr.2018.06.008.
[11] T.P. Bagchi. Taguchi Methods Explained: Practical Steps to Robust Design. Prentice-Hall, New Delhi, India 1993.
[12] M. Sarikaya. Optimization of the surface roughness by applying the Taguchi technique for the turning of stainless steel under cooling conditions. Materiali in Tehnologije/Materials and Technology, 49(6):941–948, 2015. doi: 10.17222/mit.2014.282.
[13] A.K. Hussein, L.K. Abbas, and W.N. Hasan. Optimization of heat treatment parameters for the tensile properties of medium carbon steel. Engineering and Technology Journal, 36(10A):1091–1099, 2018. doi: 10.30684/etj.36.10a.10.
[14] J. Chen, X. Yuan, Z. Hu, C. Sun, Y. Zhang, and Y. Zhang. Microstructure and mechanical properties of resistance-spot-welded joints for A5052 aluminum alloy and DP 600 steel. Materials Characterization, 120:45–52, 2016. doi: 10.1016/j.matchar.2016.08.015.
[15] Q. Jia, L. Liu, W. Guo, Y. Peng, G. Zou, Z. Tian, and Y.N. Zhou. Microstructure and tensile-shear properties of resistance spot-welded medium Mn steel. Metals, 8(1):48, 2018. doi: 10.3390/met8010048.
[16] A. Subrammanian, D.B. Jabaraj, J. Jayaprakash, and V.K. Bupesh Raja. Mechanical properties and phase transformations in resistance spot welded dissimilar joints of AISI409M/AISI301 steel. Indian Journal of Science and Technology, 9(41):1–8, 2016. doi: 10.17485/ijst/2016/v9i41/101971.
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Authors and Affiliations

Najmuldeen Yousif Mahmood
1

  1. Mechanical Engineering Department, University of Technology-Iraq, Baghdad, Iraq.
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Abstract

A series of steps taken to determine a kinetic equation that describes hydrogenation of propene on nickel catalyst is presented in this study. Mixed factorial design approach, belongs to designing of experiments methods was used to plane experiments. The investigations showed that the method applied makes possible determination of the kinetic equation in a relatively fast and cheap manner since only a few measurement points is required. The equation obtained was verified experimentally and statistically. Both tests showed satisfactory precision of anticipated values of the process rate.
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Bibliography

Aaserud C., Hilmen A.-M., Bergene E.S.E., Schanke D., Holmena A., 2004. Hydrogenation of propene on cobalt Fischer–Tropsch catalysts. Catal. Lett., 94, 171–176. DOI: 10.1023/B:CATL.0000020541.28174.c7.
Ahmadigoltapeh, S., Mehranbod, N., Halimejani, H.Z., 2015. Propylene hydrogenation through structured and con- ventional catalyst beds: Experiment and modelling. J. Nat. Gas Sci. Eng., 27, 822–830. DOI: 10.1016/j.jngse.2015.09.030.
Brandao L., Fritsch D., Madeira LM., Mendes A.M., 2004. Kinetics of propylene hydrogenation on nanostructured palladium clusters. Chem. Eng. J., 103, 89–97. DOI: 10.1016/j.cej.2004.07.008.
Carturan G., Enzo S., Ganzerla R., Lenarda M., Zanoni R., 1990. Role of solid-state structure in propene hydro- genation with nickel catalysts. J. Chem. Soc. Faraday Trans., 86, 739–746. DOI: 10.1039/ft9908600739.
Esfe M.H.,. Rsotamian H, Shabani-Samghabadi A., Arani A.A.A., 2017. Application of three-level general fac- torial design approach for thermal conductivity of MgO/ water nanofluids. Appl. Therm. Eng., 127, 1194–1199. DOI: 10.1016/j.applthermaleng.2017.07.211.
Montgomery D.C., 2017. Design and analysis of experiments. 9th ed., Wiley.
Özbay N., Yargıç A.Ş., Yarbay-Şahin R.Z., Önal E., 2013. Full factorial experimental design analysis of reactive dye removal by carbon adsorption. J. Chem., 234904. DOI: 10.1155/2013/234904.
Pachulski A., Schödel R., Claus P., 2012. Kinetics and reactor modeling of a Pd-Ag/Al2O3 catalyst during selective hydrogenation of ethyne. Appl. Catal., A, 445–446, 107–120. DOI: 10.1016/j.apcata.2012.08.018.
Schweitzer NM., Hu B., Das U., Hacksung K., Greeley J., Curtiss L.A., Stair P.C., Miller J.T., Hock A.S., 2014. Propylene hydrogenation and propane dehydrogenation by a single-site Zn2+ on silica catalyst. ACS Catal., 4, 1091–1098. DOI: 10.1021/cs401116p.
Sen G.A., 2016. Application of full factorial experimental design and response surface methodology for chromite beneficiation by Knelson concentrator. Minerals, 6, 5. DOI: 10.3390/min6010005.
Szukiewicz M., Chmiel-Szukiewicz E., Kaczmarski K., Szałek A., 2019. Dead zone for hydrogenation of propylene atalyst pellets. Open Chem., 17, 295–301. DOI: 10.1515/chem-2019-0037.
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Authors and Affiliations

Adrian Szałek
1
Mirosław Szukiewicz
1
Elżbieta Chmiel-Szukiewicz
1

  1. Rzeszów University of Technology, Faculty of Chemistry, al. Powstańców Warszawy 6, 35-959 Rzeszów, Poland
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Abstract

Cooling slope casting is a simple technique to produce semi-solid feedstock with a non-dendritic structure. The cooling slope technique depends on various parameters like slope length, slope angle, pouring temperature etc, that has been investigated in the present study. This work presents an extensive study to comprehend the combined effect of slope angle, slope length, pouring temperature, on hardness and microstructure of A383 alloy. Response Surface Methodology was adopted for design of experiments with varying process parameters i.e. slope angle between 15° to 60°, slope length between 400 to 700 mm, and pouring temperature between 560 ºC to 600 ºC. The response factor hardness was analysed using ANOVA to understand the effect of input parameters and their interactions. The hardness was found to be increasing with increased slope length and pouring temperature; and decreased with slope angle. The empirical relation for response with parameters were established using the regression analysis and are incorporated in an optimization model. The optimum hardness with non-dendritic structure of A383 alloy was obtained at 27° slope angle, 596.5 mm slope length and 596 ºC pouring temperature. The results were successfully verified by confirmation experiment, which shows around 2% deviation from the predicted hardness (87.11 BHN).
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Bibliography

[1] Mohammed, M.N., Omar, M.Z., Salleh, M.S., Alhawari, K.S. & Abdelgnei, M.A. (2014). An overview of semi-solid metal processing. Australian Journal of Basic and Applied Sciences. 8(19). 369-373. ISSN: 1991-8178.
[2] Haga, T. & Suzuki, S. (2001). Casting of aluminum alloy ingots for thixoforming using a cooling slope. Journal of Materials Processing Technology. 118(1-3), 169-172. DOI: 10.1016/S0924-0136(01)00888-3.
[3] Legoretta, E.C., Atkinson, H.V. & Jones. (2008). Cooling slope casting to obtain thixotropic feedstock II: observations with A356 alloy. Journal of Materials Science. 43(16), 5456-5469. DOI: 10.1007/s10853-008-2829-1.
[4] Farshid Taghavi, Ali Ghassemi. (2009). Study on the effects of the length and angle of inclined plate on the thixotropic microstructure of A356 aluminum alloy. Materials & Design. 30(5), 1762-1767. DOI: 10.1016/ j.matdes.2008.07.022.
[5] Xu, J., Wang, T. M., Chen, Z. N., Zhu, J., Cao, Z. Q., & Li, T. J. (2011). Preparation of semisolid A356 alloy by a cooling slope processing. Materials Science Forum. 675-677, 767-770. DOI: 10.4028/www.scientific.net/msf.675-677.767.
[6] Saklakoğlu, N., Gencalp, S., Kasman, (2011). The effects of cooling slope casting and isothermal treatment on wear behavior of A380 alloy. Advanced Materials Research. 264-265, 42-47. DOI: 10.4028/www.scientific.net/AMR.264-265.42.
[7] Rao, M.S., Kumar, A. (2022). Slope casting process: a review. Edited by T. R. Vijayaram. Casting process. 1-21. IntechOpen. DOI: 10.5772/intechopen.102742.
[8] Acar, S., & Guler, K.A. (2022). A thorough study on thixoformability of the cooling slope cast 7075 feedstocks: step-by-step optimization of the feedstock production and thixoforming processes. International Journal of Metalcasting. 16, 1-23. DOI: 10.1007/s40962-022-00801-0.
[9] Nourouzi, S., Ghavamodini, S.M., Baseri, H., Kolahdooz, A., & Botkan, M. (2012). Microstructure evolution of A356 aluminum alloy produced by cooling slope method. Advanced Materials Research. 402, 272-276. DOI: 10.4028/www.scientific.net/amr.402.27.
[10] N.K. Kund, & P. Dutta. (2010).Numerical simulation of solidification of liquid aluminum alloy flowing on cooling slope. Transactions of Nonferrous Metals Society of China. 20(3), 898-905. DOI: 10.1016/S1003-6326(10)60603-6.
[11] Das, P., Samanta, S.K., Das, R. & Dutta, P. (2014). Optimization of degree of sphericity of primary phase during cooling slope casting of A356 Al alloy. Measurement. 55, 605-615. DOI: 10.1016/j.measurement.2014.05.022.
[12] Haga, T., Nakamura, R., Tago, R. & Watari, H. (2010). Effects of casting factors of cooling slope on semisolid condition. Transactions of Nonferrous Metals Society of China. 20(3), 968-972. DOI: 10.1016/S1003-6326(10)60615-2.
[13] Kumar, S.D., Vundavilli, P.R., Mantry, S., Mandal, A. & Chakraborty, M. (2014). A taguchi optimization of cooling slope casting process parameters for production of semi-solid A356 alloy and A356-5TiB2 in-situ composite feedstock. Procedia Material Science. 5, 232-241. DOI: 10.1016/j.mspro.2014.07.262.
[14] Gautam, S.K., Mandal, N., Roy, H., Lohar, A.K., Samanta, S.K. & Sutradhar, S. (2018). Optimization of processing parameters of cooling slope process for semi-solid casting of Al alloy. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 40(6), 291. DOI: 10.1007/s40430-018-1213-6.
[15] Khosravi, H., Eslami-Farsani, R. & Askari-Paykani, M. (2014). Modeling and optimization of cooling slope process parameters for semi-solid casting of A356 Al alloy. Transactions of Nonferrous Metals Society of China. 24(4), 961-968. DOI: 10.1016/S1003-6326(14)63149-6.
[16] Mukkollu, S.R. & Kumar, A. (2020). Comparative study of slope casting technique in integration with ultrasonic mould vibration and conventional casting of aluminium alloy. Materials Today: Proceedings. 26(2), 1078-1081. DOI: 10.1016/j.matpr.2020.02.213.

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Authors and Affiliations

M.S. Rao
1
ORCID: ORCID
H. Khandelwal
1
ORCID: ORCID
M. Kumar
1
A. Kumar
1

  1. National Institute of Advanced Manufacturing Technology (Formerly National Institute of Foundry and Forge Technology) (A Centrally Funded Technical Institute under MHRD), Hatia, Ranchi, 834003, India
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Abstract

Sand molding casting has been widely used for a long time. But, one of its main drawbacks is that surface quality of the castings is not good enough for some applications. The purposes of this research were to investigate the effect of addition of sawdust ash of rubber wood (SARW) on molding sand properties and the surface quality of iron castings and to find an appropriate level of SARW with the appropriate properties of the iron castings. The molding sand compositions for making a sand mold consisted of the recycled molding sand, bentonite, water and SARW. The percentage levels of SARW were 0%, 0.1%, 0.2%, 0.3% and 0.4%. The different proportions of molding sand samples were investigated for the molding sand properties including permeability, compression strength and hardness. The results showed that addition of SARW had an effect on the molding sand properties. The appropriate percentage proportion of molding sand was obtained at 95.8% recycled molding sand, 0.8% bentonite, 3% water and 0.4% SARW. There were statistically significant differences of mean surface roughness and hardness values of the iron castings made from molding sand samples without SARW addition and the appropriate percentage proportion of molding sand. In addition, the average surface roughness value of the iron castings made from the sand mold with the appropriate percentage proportion of molding sand was ~40% lower than those of the iron castings made from molding sand samples without SARW addition.
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Authors and Affiliations

R. Khuengpukheiw
1
S. Veerapadungphol
1
V. Kunla
1
C. Saikaew
1
ORCID: ORCID

  1. Department of Industrial Engineering, Khon Kaen University, Khon Kaen 40002 Thailand
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Abstract

This paper describes the p-diagram (parameter-diagram) and its application in planning a DoE (Design of Experiments). A case study describing an actual problem from industry is presented where the planning phase started to go wrong as difficulties in selecting the right variables for the DoE were discovered. Furthermore, running these experiments became prohibitively expensive, due to the large number of such experiments that would be needed, and though the exploitation of a p-diagram it was then possible to come up with a feasible DoE.
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Authors and Affiliations

Matthew Barsalou
ORCID: ORCID
Karolina WILCYNSKA
Pedro Manuel SARAIVA
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Abstract

Optimal parameters setting of injection moulding (IM) machine critically effects productivity, quality, and cost production of end products in manufacturing industries. Previously, trial and error method were the most common method for the production engineers to meet the optimal process injection moulding parameter setting. Inappropriate injection moulding machine parameter settings can lead to poor production and quality of a product. Therefore, this study was purposefully carried out to overcome those uncertainty. This paper presents a statistical technique on the optimization of injection moulding process parameters through central composite design (CCD). In this study, an understanding of the injection moulding process and consequently its optimization is carried out by CCD based on three parameters (melt temperature, packing pressure, and cooling time) which influence the shrinkage and tensile strength of rice husk (RH) reinforced low density polyethylene (LDPE) composites. Statistical results and analysis are used to provide better interpretation of the experiment. The models are form from analysis of variance (ANOVA) method and the model passed the tests for normality and independence assumptions.
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Authors and Affiliations

Haliza Jaya
1 2
ORCID: ORCID
Nik Noriman Zulkepli
1 2
ORCID: ORCID
Mohd Firdaus Omar
1 2
ORCID: ORCID
Shayfull Zamree Abd Rahim
1 3
ORCID: ORCID
Marcin Nabiałek
4
ORCID: ORCID
Kinga Jeż
4
ORCID: ORCID
Mohd Mustafa Al Bakri Abdullah
1 2
ORCID: ORCID

  1. Universiti Malaysia Perlis, Centre of Excellence Geopolymer and Green Technology (CeGeoGTech), 02600 Arau, Perlis, Malaysia
  2. Universiti Malaysia Perlis (UniMAP), Faculty of Chemical Engineering Technology, Kompleks Pengajian Jejawi 2, 02600 Arau, Perlis, Malaysia
  3. Universiti Malaysia Perlis (UniMAP), Faculty of Mechanical Engineering Technology, Kampus Alam Pauh Putra, 02600 Arau, Perlis, Malaysia
  4. Częstochowa University of Technology, Department of Physics, 42-200 Częstochowa, Poland
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Abstract

The main objective of the present study is enhanced of the sand moulding process through addressing the sand mould defects and failures, ultimately lead to improve production of the sand castings with well-defined of pattern profiles. The research aimed to reduce the cost and energy expenditure associated with the compaction time of the sand moulding process. Practical destructive tests were conducted to assess properties of the green sand moulds. Linear regression and multi-regression methods were employed to identify the key factors influencing the sand moulding process. The proposed experimental destructive tests and predicted regression methods facilitated measurement of the green sand properties and enabled evaluation of the effective moulding parameters, thereby enhancing the sand moulding process. Factorial design of experiments approach was employed to evaluate effect of parameters of water content and mixing time of the green sand compaction process on the mechanical properties of green sand mould namely the tensile strength, and compressive strength.
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Bibliography

[1] Abdulamer, D. & Kadauw, A. (2019). Development of mathematical relationships for calculating material-dependent flowability of green molding sand. Journal of Materials Engineering and Performance. 28(7), 3994-4001. DOI: https://doi.org/10.1007/s11665-019-04089-w.
[2] Shahria, S., Tariquzzaman, M., Rahman, H., Al Amin, M., & Rahman, A. (2017). Optimization of molding sand composition for casting Al alloy. International Journal of Mechanical Engineering and Applications. 5(3), 155-161. DOI:10.11648/j.ijmea.20170503.13.
[3] Patil, G. & Inamdar, K. (2014). Optimization of casting process parameters using taguchi method. International Journal of Engineering Development and Research. 2(2), 2506-2511.
[4] Kassie, A. & Assfaw, S. (2013). Minimization of casting defects. IOSR Journal of Engineering. 3(5), 31-38. DOI:10.9790/3021-03513138.
[5] Gadag, S. Sunni Rao, K. Srinivasan, M. et al. (1987). Effect of organic additives on the properties of green sand assessed from design of experiments. AFS Transactions. 42, 179-186.
[6] Karunaksr, D. & Datta, G. (2007). Controlling green sand mold properties using artificial neural networks and genetic algorithms- A comparison. Applied Caly Science. 37(1-2), 58-66. DOI:10.1016/j.clay.2006.11.005.
[7] Said, R. Kamal, M. Miswan, N. & Ng, S. (2018). Optimization of moulding composition for quality improvement of sand casting. Journal of Advanced Manufacturing Technology. 12(1(1), 301-310.
[8] Pulivarti, S. & Birru, A. (2018). Optimization of green sand mould system using Taguchi based grey relational analysis. China Foundry. 15, 152-159. DOI: 10.1007/s41230-018-7188-1.
[9] Abdulamer, D. (2023). Impact of the different moulding parameters on engineering properties of the green sand mould. Archives of Foundry. 23(2), 5-9. DOI: 10.24425/afe.2023.144288.
[10] Kumar, S. Satsangi, P. & Prajapati, D. (2011). Optimization of green sand casting process parameters of a foundry by using taguchi’s method. International Journal of Advanced Manufacturing Technology. 55(1-4), 23-34. DOI: 10.1007/s00170-010-3029-0.
[11] Murguía, P. Ángel, R. Villa González del Pino, E. Villa, Y. & Hernández del Sol, J. (2016). Quality improvement of a casting process using design of experiments. Prospectiva. 14(1), 47-53. DOI: 10.15665/rp.v14i1.648.
[12] Abdullah, A. Sulaiman, S. Baharudin, B. Arifin, M. & Vijayaram, T. (2012). Testing for green compression strength and permeability properties on the tailing sand samples gathered from ex tin mines in perak state, Malaysia. Advanced Materials Research. 445, 859-864. DOI: 10.4028/www.scientific.net/AMR.445.859.
[13] Abdulamer, D. (2021). Investigation of flowability of the green sand mould by remote control of portable flowability sensor. Archives of Materials Science and Engineering, 112(2), 70-76. DOI: 10.5604/01.3001.0015.6289.
[14] Bast, J., Simon, W. & Abdullah, E. (2010). Investigation of cogs defects reason in green sand moulds. Archives of Metallurgy and Materials. 55(3), 749-755. DOI: 10.24425/afe.2023.144288.
[15] Montgomery, D.C. (2001). Design and Analysis of Experiments. (5th ed.). John Wiley & Sons, Inc.
[16] Dhindaw, B.K., Chakraborty, M. (1974). Study and control of properties and behavior of different sand systems by application of statistical design of experiments In the 41st International Foundry Congress, (pp. 9-14). Belgique.
[17] Abdulamer, D. (2023). Utilizing of the statistical analysis for evaluation of the properties of green sand mould. Archives of Foundry Engineering. 23(3), 67-73, DOI: 10.24425/afe.2023.146664, 2023.
[18] Parappagoudar, M. Pratihar, D. & Datta, G. (2007). Linear and non-linear statistical modelling of green sand mould system. International Journal of Cast Metals Research. 20(1), 1-13. DOI: 10.1179/136404607X184952.
[19] Dietert, H. W. Brewster, F. S. & Graham, A. L. (1996). AFS Trans. 74, 101-111.
[20] Parappagoudar, M. Pratihar, D. & Datta G. (2005). Green sand mould system modelling through design of experiments. Indian Foundry Journal. 51(4), 40-51.

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Authors and Affiliations

Dheya Abdulamer
1
ORCID: ORCID

  1. University of Technology- Iraq
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Abstract

The research presented in detail in this scientific paper refers to the modelling of process parameters for natural gas transmission in a centralized system. The method of the factorial experiment was used to model some parameters considered to be vital, namely the gas temperature, the air temperature as well as a certain correction factor on the flow delivered to the population. The study was conducted by accessing information provided by a regulation-measurement station that delivers gas to an important locality in a locality in central Romania. Experimental data collected over 24 hours on a summer day but also on a winter day were used. After a previous study with classical experimental research methods, the factorial experiment was used, which allows the delivery of much more detailed information and the graphical representations are much more precise and detailed, in other words, relevant and useful conclusions can be obtained on objective studied in the research approached.
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Authors and Affiliations

Mihail Aurel Țîțu
ORCID: ORCID
A.B. Pop
1
ORCID: ORCID
M. Nabiałek
2
ORCID: ORCID

  1. Technical University of Cluj-Napoca, Northern University Centre of Baia Mare, Faculty of Engineering – Department of Engineering and Technology Management, 62A, Victor Babes Street, 430083, Baia Mare, Maramures, Romania
  2. Częstochowa University of Technology, Department of Physics, Armii Krajowej 19 Av., 42-200 Częstochowa, Poland
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Abstract

The paper presents the method of simplified parametric analysis of the sensitivity of a pre-tensioned concrete beam. The presented approach is based on the DOE (design of experiments) data collection which is simulation technique allowing for identification of variables deciding about the effectiveness and costs of designed structures. Additionally, application of the hyper-surface of the construction response allows designers to the development of multi-dimensional trade-off graphs to facilitate, the assessment of the scope of changes in random state variables permitted due to the adequate criteria and selection of their values close to optimum. Design basics, procedures and results of the presented considerations of sensitivity assessment and reliability of the structure has been shown on the example of a pre-stressed concrete beam designed in accordance with the requirements and procedures of Eurocode 2.

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Authors and Affiliations

Sz. Woliński
T. Pytlowany
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Abstract

This paper concerns load testing of typical bridge structures performed prior to operation. In-situ tests of a twospan post-tensioned bridge loaded with three vehicles of 38-ton mass each formed the input of this study. On the basis of the results of these measurements an advanced FEM model of the structure was developed for which the sensitivity analysis was performed for chosen uncertainty sources. Three uncorrelated random variables representing material uncertainties, imperfections of positioning and total mass of loading vehicles were indicated. Afterwards, two alternative FE models were created based on a fully parametrised geometry of the bridge, differing by a chosen global parameter – the skew angle of the structure. All three solid models were subjected to probabilistic analyses with the use of second-order Response Surface Method in order to define the features of structural response of the models. It was observed that both the ranges of expected deflections and their corresponding mean values decreased with an increase of the skewness of the bridge models. Meanwhile, the coefficient of variation and relative difference between the mean value and boundary quantiles of the ranges remain insensitive to the changes in the skew angle. Owing to this, a procedure was formulated to simplify the process of load testing design of typical bridges differing by a chosen global parameter. The procedure allows - if certain conditions are fulfilled - to perform probabilistic calculations only once and use the indicated probabilistic parameters in the design of other bridges for which calculations can be performed deterministically.

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Authors and Affiliations

Piotr Owerko
Karol Winkelmann

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