Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2020, Cilt: 4 Sayı: 3, 99 - 108, 28.09.2020

Öz

Kaynakça

  • [1]. Y. Mostafa aand A. E. Mohamed , (2017). Additive manufacturing of composite materials: an overview, 6th International Conference on Virtual Machining Process Technology (VMPT), Montréal, May 29th – June 2nd, 2017
  • [2]. T. E. G., Harless, P.H. Wagner, R. D. Short, P. H. Seale, Mitchell, and D.S. Ladd, (1987) “A model to predict the density profile of particleboard”, Wood and Fiber Sci. vol.19, pp81- 92
  • [3]. C. O. Aliyegbenoma and J. A. Akpobi, (2019) Modelling and Optimisation of the Mechanical Properties of Injection Moulded High Density Polyethylene-Sawdust Composite. Nigerian Research Journal of Engineering and Environmental Sciences 4(2) 2019 pp. 874-883
  • [4]. N. A. Amenaghawon, S. E. Ogbeide and C. O. Okieimen, (2014). Application of Statistical Experimental Design for the Optimisation of Dilute Sulphuric Acid Hydrolysis of Cassava Bagasse. Acta Polytechnica Hungarica, 11(9), pp. 1-12.
  • [5]. J. K. B. Mohammed, A, A, Hamidi, Q. A. Shuokr, A. A. Salim, (2012) an overview of wastewater treatment processes optimization using response surface methodology (RSM), The 4th International Engineering Conference –Towards engineering of 21st century
  • [6]. O. G. Saracoglu, (2008). An artificial neural network approach for the prediction of absorption measurements of an evanescent field fiber sensor. Sensors, 8(3), pp. 1585-1594.
  • [7]. S. O. Ajala and E. Betiku, (2015). Yellow oleander seed oil extraction modeling and process parameters optimization: Performance evaluation of artificial neural network and response surface methodology. Journal of food processing and preservation, 39(6), pp. 1466-1474
  • [8]. A. Nath and P. K. Chattopadhyay, (2007). Optimization of oven toasting for improving crispness and other quality attributes of ready to eat potato-soy snack using response surface methodology. Journal of Food Engineering, 80(4), pp. 1282-1297
  • [9]. S. Yi, Y. Su, B. Qi, Z. Su and Y. Wan, (2009). Application of response surface methodology and central composite rotatable design in optimizing the preparation conditions of vinyltriethoxysilane modified silicalite/polydimethylsiloxane hybrid pervaporation membranes. Separation and Purification Technology, 71(2), pp. 252-262.
  • [10]. N. A. Amenaghawon, and E. Amagbewan, (2017). Evaluating the effect of acid mixtures and solids loading on furfural production from sugarcane bagasse: optimization using response surface methodology and artificial neural network. Nigerian Research Journal of Engineering and Environmental Sciences, 2(2), pp. 578-587 . [11]. B. Qi, X. Chen, F. Shen and Y. Wan, (2009). Optimization of Enzymatic Hydrolysis of Wheat Straw Pretreated by Alkaline Peroxide Using Response Surface Methodology. Industrial and Engineering Chemistry Research, 48, pp. 7346-7353.
  • [12]. D.C. Montgomery, (2005). Design and Analysis of experiments, 6th ed., New York: John Wiley & Sons, Inc.
  • [13]. A.I. Khuri and S. Mukhopadhyay (2010). Response surface methodology: Advanced Review. WIREs Computational Statistics, 2, pp. 128-149.
  • [14]. R.H. Myers and D.C.Montgomery, (1995). Response Surface Methodology. New York: John Wiley & Sons
  • [15]. G. Cao, N. Ren, A. Wang, D.J. Lee, W. Guo, B. Liu, Y. Feng, Q. Zhao, (2009). Acid hydrolysis of corn stover for biohydrogen production using Thermoanaerobacterium thermosaccharolyticumW16. International Journal of Hydrogen Energy, 34, pp. 7182–71

Optimısatıon Of Injectıon Moulded Hıgh Densıty Polyethylene-Sawdust Composıte (Percentage Elongatıon And Average Deflectıon)

Yıl 2020, Cilt: 4 Sayı: 3, 99 - 108, 28.09.2020

Öz

The focus of this study is on the modeling and optimisation of percentage elongation and average deflection using injection moulded high density polyethylene-Sawdust composite. The HDPE material and sawdust were mixed together to form a homogenous mixture with various percentage composition by volume as obtained by the central composite design (CCD). The response surface methodology (RSM) and artificial neural networks (ANN) were used to determine the effect of the interaction of temperature and percentage by volume of material on the mechanical properties of the produced HDPE-sawdust composite. Models were developed for predicting the mechanical properties percentage elongation and average deflection) for the produced composites. The models were validated using coefficient of determination (R2). The coefficient of determination (R2) obtained ranged from 0.9213 (92.13%) to 0.981 (98.10%) which indicates a good fit was achieved between the model and experimental results. The optimization results for HDPE-Sawdust composites shows that the percentage elongation and average deflection were minmized with values of 90.98% and 2.46cm obtained at barrel temperature of 164.64 oC and polymer level of 68.54%.

Kaynakça

  • [1]. Y. Mostafa aand A. E. Mohamed , (2017). Additive manufacturing of composite materials: an overview, 6th International Conference on Virtual Machining Process Technology (VMPT), Montréal, May 29th – June 2nd, 2017
  • [2]. T. E. G., Harless, P.H. Wagner, R. D. Short, P. H. Seale, Mitchell, and D.S. Ladd, (1987) “A model to predict the density profile of particleboard”, Wood and Fiber Sci. vol.19, pp81- 92
  • [3]. C. O. Aliyegbenoma and J. A. Akpobi, (2019) Modelling and Optimisation of the Mechanical Properties of Injection Moulded High Density Polyethylene-Sawdust Composite. Nigerian Research Journal of Engineering and Environmental Sciences 4(2) 2019 pp. 874-883
  • [4]. N. A. Amenaghawon, S. E. Ogbeide and C. O. Okieimen, (2014). Application of Statistical Experimental Design for the Optimisation of Dilute Sulphuric Acid Hydrolysis of Cassava Bagasse. Acta Polytechnica Hungarica, 11(9), pp. 1-12.
  • [5]. J. K. B. Mohammed, A, A, Hamidi, Q. A. Shuokr, A. A. Salim, (2012) an overview of wastewater treatment processes optimization using response surface methodology (RSM), The 4th International Engineering Conference –Towards engineering of 21st century
  • [6]. O. G. Saracoglu, (2008). An artificial neural network approach for the prediction of absorption measurements of an evanescent field fiber sensor. Sensors, 8(3), pp. 1585-1594.
  • [7]. S. O. Ajala and E. Betiku, (2015). Yellow oleander seed oil extraction modeling and process parameters optimization: Performance evaluation of artificial neural network and response surface methodology. Journal of food processing and preservation, 39(6), pp. 1466-1474
  • [8]. A. Nath and P. K. Chattopadhyay, (2007). Optimization of oven toasting for improving crispness and other quality attributes of ready to eat potato-soy snack using response surface methodology. Journal of Food Engineering, 80(4), pp. 1282-1297
  • [9]. S. Yi, Y. Su, B. Qi, Z. Su and Y. Wan, (2009). Application of response surface methodology and central composite rotatable design in optimizing the preparation conditions of vinyltriethoxysilane modified silicalite/polydimethylsiloxane hybrid pervaporation membranes. Separation and Purification Technology, 71(2), pp. 252-262.
  • [10]. N. A. Amenaghawon, and E. Amagbewan, (2017). Evaluating the effect of acid mixtures and solids loading on furfural production from sugarcane bagasse: optimization using response surface methodology and artificial neural network. Nigerian Research Journal of Engineering and Environmental Sciences, 2(2), pp. 578-587 . [11]. B. Qi, X. Chen, F. Shen and Y. Wan, (2009). Optimization of Enzymatic Hydrolysis of Wheat Straw Pretreated by Alkaline Peroxide Using Response Surface Methodology. Industrial and Engineering Chemistry Research, 48, pp. 7346-7353.
  • [12]. D.C. Montgomery, (2005). Design and Analysis of experiments, 6th ed., New York: John Wiley & Sons, Inc.
  • [13]. A.I. Khuri and S. Mukhopadhyay (2010). Response surface methodology: Advanced Review. WIREs Computational Statistics, 2, pp. 128-149.
  • [14]. R.H. Myers and D.C.Montgomery, (1995). Response Surface Methodology. New York: John Wiley & Sons
  • [15]. G. Cao, N. Ren, A. Wang, D.J. Lee, W. Guo, B. Liu, Y. Feng, Q. Zhao, (2009). Acid hydrolysis of corn stover for biohydrogen production using Thermoanaerobacterium thermosaccharolyticumW16. International Journal of Hydrogen Energy, 34, pp. 7182–71
Toplam 14 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Articles
Yazarlar

Cyril Aliyegbenoma

Mercy Ozakpolor 0000-0002-7625-0087

Yayımlanma Tarihi 28 Eylül 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 4 Sayı: 3

Kaynak Göster

IEEE C. Aliyegbenoma ve M. Ozakpolor, “Optimısatıon Of Injectıon Moulded Hıgh Densıty Polyethylene-Sawdust Composıte (Percentage Elongatıon And Average Deflectıon)”, IJESA, c. 4, sy. 3, ss. 99–108, 2020.

ISSN 2548-1185
e-ISSN 2587-2176
Period: Quarterly
Founded: 2016
Publisher: Nisantasi University
e-mail:ilhcol@gmail.com