Expert System Optimizing Model of Filament Winding Process for Improved Automated Composite Manufacturing Structure
الموضوعات :
1 - The Hashemite University
الکلمات المفتاحية: Optimization, Composite materials, Manufacturing Processes,
ملخص المقالة :
Various strategies have been adopting to enhance the qualities of composites manufacturing processes to enhance achieving composite materials with precise geometry without discounting productivity. Filament winding process is considered an important method for producing composite materials for various industrial applications. Various mandrel materials are usually considered before setting the suitable type in filament winding process to ensure satisfying the desired specifications of the design requirements. This work investigated a wide range of materials that could be utilized as alternatives for the filament winding mandrels and classified materials based upon various simultaneous conflicted technical and economic standpoints. Properly optimizing and determining the most appropriate material type according to certain desired specifications via building an informative multi-criteria decision-making model would enhance both productivity and costs for composite manufacturing systems. The built model was capable of systematically selecting the most appropriate mandrel material type for the filament winding process with very limited or marginal personal selection errors. Twelve simultaneous evaluation criteria were considered. Sensitivity analysis, moreover, was conducted to reveal the reliability of the drawn conclusions.
[1] Almagableh, A., Al-Oqla, F.M., Omari, M.A., (2017). Predicting the Effect of Nano-Structural Parameters on the Elastic Properties of Carbon Nanotube-Polymeric based Composites. International Journal of Performability Engineering 13, 73.
[2] AL-Oqla, F.M., Almagableh, A., Omari, M.A., (2017). Design and Fabrication of Green Biocomposites, Green Biocomposites. Springer, Cham, Switzerland, pp. 45-67.
[3] AL-Oqla, F.M., Hayajneh, M.T., (2007). A design decision-making support model for selecting suitable product color to increase probability, Design Challenge Conference: Managing Creativity,
Innovation, and Entrepreneurship. Yarmouk University, Amman, Jordan, .
[4] Alves, C., Ferrão, P., Silva, A., Reis, L., Freitas, M., Rodrigues, L., Alves, D., (2010). Ecodesign of automotive components making use of natural jute fiber composites. J. Cleaner Prod. 18, 313-327.
[5] Siwal, S.S., Zhang, Q., Devi, N., Saini, A.K., Saini, V., Pareek, B., Gaidukovs, S., Thakur, V.K., (2021). Recovery processes of sustainable energy using different biomass and wastes. Renewable and
Sustainable Energy Reviews 150, 111483.
[6] Jawarneh, A.M., Al-Oqla, F.M., Jadoo, A.A., (2021). Transient behavior of non-toxic natural and hybrid multi-layer desiccant composite materials for water extraction from atmospheric air. Environmental Science and Pollution Research, 1-10.
[7] Al-Oqla, F.M., (2021a). Predictions of the Mechanical Performance of Leaf Fiber Thermoplastic Composites by FEA. International Journal of Applied Mechanics.
[8] Alaaeddin, M., Sapuan, S., Zuhri, M., Zainudin, E., Al-Oqla, F.M., (2019). Photovoltaic applications: Status and manufacturing prospects. Renewable and Sustainable Energy Reviews 102, 318-332.
[9] Beluns, S., Gaidukovs, S., Platnieks, O., Gaidukova, G., Mierina, I., Grase, L., Starkova, O., Brazdausks, P., Thakur, V.K., (2021). From Wood and Hemp Biomass Wastes to Sustainable Nanocellulose Foams. Industrial Crops and Products 170, 113780.
[10] Hayajneh, M., AL-Oqla, F.M., Aldhirat, A., (2021a). Physical and Mechanical Inherent Characteristic Investigations of Various Jordanian Natural Fiber Species to Reveal Their Potential for Green Biomaterials. J. Nat. Fibers, 1-14.
[11] Barbero, E.J., (2010). Introduction to composite materials design. CRC press, Boca Raton, USA.
[12] Hambali, A., Sapuan, S., Ismail, N., Nukman, Y., (2009). Application of analytical hierarchy process in the design concept selection of automotive composite bumper beam during the conceptual design stage. Sci Res Essay 4, 198-211.
[13] Fares, O., AL-Oqla, F.M., Hayajneh, M.T., (2019). Dielectric relaxation of Mediterranean Lignocellulosic Fibers for Sustainable Functional Biomaterials. Materials Chemistry and Physics.
[14] Al-Oqla, F.M., Al-Jarrah, R., (2021a). A novel adaptive neuro-fuzzy inference system model to predict the intrinsic mechanical properties of various cellulosic fibers for better green composites. Cellulose.
[15] Rana, A.K., Frollini, E., Thakur, V.K., (2021). Cellulose nanocrystals: Pretreatments, preparation strategies, and surface functionalization. International Journal of Biological Macromolecules 182, 1554-1581.
[16] AL-Oqla, F.M., (2021b). Effects of Intrinsic Mechanical Characteristics of Lignocellulosic Fibres on the Energy Absorption and Impact Rupture Stress of Low Density Polyethylene Biocomposites.
International Journal of Sustainable Engineering, 1-9.
[17] AL-Oqla, F., Thakur, V.K., (2021). Toward chemically treated lowcost lignocellulosic parsley waste/polypropylene bio-composites for resourceful sustainable bio-products. International Journal of Environmental Science and Technology, 1-10.
[18] AL-Oqla, F.M., Alothman, O.Y., Jawaid, M., Sapuan, S., Es-Saheb, M., (2014a). Processing and Properties of Date Palm Fibers and Its Composites, Biomass Bioenergy. Springer, Cham, Switzerland, pp. 1- 25.
[19] Al-Oqla, F.M., Omar, A.A., (2012). A decision-making model for selecting the GSM mobile phone antenna in the design phase to increase over all performance. Progress In Electromagnetics Research C 25, 249-269.
[20] AL-Oqla, F.M., El-Shekeil, Y., (2019). Investigating and Predicting the Performance Deteriorations and Trends of Polyurethane Biocomposites for More Realistic Sustainable Design Possibilities. J. Cleaner Prod.
[21] Rababah, M.M., AL-Oqla, F.M., (2020). Biopolymer Composites and Sustainability, Advanced Processing, Properties, and Applications of Starch and Other Bio-Based Polymers. Elsevier, pp. 1-10.
[22] Al-Oqla, F.M., Omar, A.A., (2015). An expert-based model for selecting the most suitable substrate material type for antenna circuits. International Journal of Electronics 102, 1044-1055.
[23] AL-Oqla, F.M., Omar, A.A., Fares, O., (2018a). Evaluating sustainable energy harvesting systems for human implantable sensors. International Journal of Electronics 105, 504-517.
[24] AL-Oqla, F.M., S. M. Sapuan, M. R. Ishak, A.A., N., (2015a). Selecting Natural Fibers for Industrial Applications, Postgraduate Symposium on Biocomposite Technology Serdang, Malaysia.
[25] AL-Oqla, F.M., Salit, M.S., (2017a). Materials Selection for Natural Fiber Composites. Woodhead Publishing, Elsevier, Cambridge, USA.
[26] Al-Oqla, F.M., (2021c). Performance trends and deteriorations of lignocellulosic grape fiber/polyethylene biocomposites under harsh environment for enhanced sustainable bio- materials. Cellulose 28, 2203-2213.
[27] AL-Oqla, F.M., (2017). Investigating the mechanical performance deterioration of Mediterranean cellulosic cypress and pine/polyethylene composites. Cellulose 24, 2523-2530. [28] AL-Oqla, F.M., Salit, M.S., (2017b). Materials selection, Materials Selection for Natural Fiber Composites. Woodhead Publishing, Elsevier Cambridge, USA, pp. 49-71.
[29] AL-Oqla, F.M., Salit, M.S., (2017c). Material selection for composites, Materials Selection for Natural Fiber Composites. Woodhead Publishing, Elsevier Cambridge, USA, pp. 73-105.
[30] AL-Oqla, F.M., Sapuan, S., (2018). Natural Fiber Composites, in: S. M. Sapuan, M.R.I., J. Sahari, Muhammed Lamin Sanyang (Ed.), Kenaf Fibers and Composites. CRC Press.
[31] Voicu, S.I., Thakur, V.K., (2021). Aminopropyltriethoxysilane As A Linker For Cellulose-Based Functional Materials: New Horizons And Future Challenges. Current Opinion in Green and Sustainable Chemistry, 100480.
[32] Hayajneh, M.T., AL-Oqla, F.M., Mu’ayyad, M., (2021b). Hybrid green organic/inorganic filler polypropylene composites: Morphological study and mechanical performance investigations. e-Polymers 21, 710- 721.
[33] Quanjin, M., Rejab, M., Sahat, I., Amiruddin, M., Bachtiar, D., Siregar, J., Ibrahim, M., (2018). Design of portable 3-axis filament winding machine with inexpensive control system. Journal of Mechanical Engineering and Sciences 12, 3479-3493.
[34] Zu, L., Xu, H., Wang, H., Zhang, B., Zi, B., (2019). Design and analysis of filament-wound composite pressure vessels based on nongeodesic winding. Composite Structures 207, 41-52.
[35] Dun, M., Hao, J., Wang, W., Wang, G., Cheng, H., (2019). Sisal fiber reinforced high density polyethylene pre-preg for potential application in filament winding. Compo. Part B: Eng. 159, 369-377.
[36] Du, H., Liu, L., Zhang, F., Leng, J., Liu, Y., (2018). Shape retainability and reusability investigation of bottle-shaped SMP mandrel. Polym. Test. 69, 325-331.
[37] Zu, L., Xu, H., Zhang, B., Li, D., Zi, B., (2018). Design of filamentwound composite structures with arch-shaped cross sections considering fiber tension simulation. Composite Structures 194, 119-125.
[38] Nourian, R., Mousavi, S.M., Raissi, S., (2019). A fuzzy expert system for mitigation of risks and effective control of gas pressure reduction stations with a real application. J. Loss Prev. Process Indust. 59, 77-90.
[39] Ghasemi, F.A., Raissi, S., Malekzadehfard, K., (2013). Analytical and mathematical modeling and optimization of fiber metal laminates (FMLs) subjected to low-velocity impact via combined response surface regression and zero-one programming. Latin American Journal of Solids and Structures 10, 391-408.
[40] Sadr Dadras, F., Gharanjig, K., Raissi, S., (2014). Optimising by response surface methodology the dyeing of polyester with a liposome‐ encapsulated disperse dye. Coloration Technology 130, 86-92.
[41] Shokuhfar, A., Khalili, S., Ghasemi, F.A., Malekzadeh, K., Raissi, S., (2008). Analysis and optimization of smart hybrid composite plates subjected to low-velocity impact using the response surface methodology (RSM). Thin-Walled Structures 46, 1204-1212.
[42] AL-Oqla, F.M., Sapuan, S., Fares, O., (2018b). Electrical–Based Applications of Natural Fiber Vinyl Polymer Composites, Natural Fibre Reinforced Vinyl Ester and Vinyl Polymer Composites. Elsevier, pp. 349-367.
[43] AL-Oqla, F.M., Sapuan, S., Ishak, M., Nuraini, A., (2015b). Predicting the potential of agro waste fibers for sustainable automotive industry using a decision making model. Comput. Electron. Agric. 113, 116-127.
[44] Aridi, N., Sapuan, S., Zainudin, E., AL-Oqla, F.M., (2016). Mechanical and morphological properties of injection-molded rice husk polypropylene composites. Int. J. Polym. Anal. Charact. 21, 305- 313.
[45] AL-Oqla, F.M., Sapuan, S., Jawaid, M., (2016). Integrated Mechanical-Economic–Environmental Quality of Performance for Natural Fibers for Polymeric-Based Composite Materials. J. Nat. Fibers 13, 651-659.
[46] AL‐Oqla, F.M., Hayajneh, M.T., Aldhirat, A., (2021). Tribological and mechanical fracture performance of Mediterranean lignocellulosic fiber reinforced polypropylene composites. Polymer Composites.
[47] AL-Oqla, F., Alaaeddin, M., El-Shekeil, Y., (2021). Thermal stability and performance trends of sustainable lignocellulosic olive/low density polyethylene biocomposites for better environmental green materials. Engineering Solid Mechanics 9, 439-448.
[48] AL-Oqla, F.M., Hayajneh, M.T., (2020). A hierarchy weighting preferences model to optimise green composite characteristics for better sustainable bio-products. International Journal of Sustainable Engineering, 1-6.
[49] Mazumdar, S., (2001). Composites manufacturing: materials, product, and process engineering. CrC press. [50] AL-Oqla, F.M., Sapuan, M.S., Ishak, M.R., Aziz, N.A., (2014b). Combined multi-criteria evaluation stage technique as an agro waste evaluation indicator for polymeric composites: date palm fibers as a case study. BioResources 9, 4608-4621.
[51] AL-Oqla, F.M., Al-Jarrah, R., (2021b). A novel adaptive neuro-fuzzy inference system model to predict the intrinsic mechanical properties of various cellulosic fibers for better green composites. Cellulose, 1-12.
[52] AL-Oqla, F.M., (2020). Flexural Characteristics and Impact Rupture Stress Investigations of Sustainable Green Olive Leaves Biocomposite Materials. Journal of Polymers and the Environment, 1-8.
[53] Al-Widyan, M.I., Al-Oqla, F.M., (2014). Selecting the most appropriate corrective actions for energy saving in existing buildings A/C in hot arid regions. Building Simulation 7, 537-545.
[54] Dalalah, D., Al-Oqla, F., Hayajneh, M., (2010). Application of the Analytic Hierarchy Process (AHP) in multi-criteria analysis of the selection of cranes. Jordan Journal of Mechanical and Industrial Engineering, JJMIE 4, 567-578.
[55] Deng, X., Hu, Y., Deng, Y., Mahadevan, S., (2014). Supplier selection using AHP methodology extended by D numbers. Expert Systems with Applications 41, 156-167.
[56] Taylan, O., Bafail, A.O., Abdulaal, R., Kabli, M.R., (2014). Construction projects Selection and risk assessment by Fuzzy AHP and Fuzzy TOPSIS methodologies. Applied Soft Computing.
[57] Al-Widyan, M.I., Al-Oqla, F.M., (2011). Utilization of supplementary energy sources for cooling in hot arid regions via decision-making model. International Journal of Engineering Research and Applications 1, 1610-1622.
