Abstract
Composite recycling technologies have been developed to tackle the increasing use of composites in industry and as a result of restrictions placed on landfill disposal. Mechanical, thermal and chemical approaches are the existing main recycling techniques to recover the fibres. Some optimisation work for reducing energy consumed by above processes has also been developed. However, the resource efficiency of recycling composites at the workshop level has never been considered before. Considering the current trend of designing and optimising a system in parallel and the future needs of the composite recycling business, a flexible flow shop for carbon fibre reinforced composite recycling is modelled. Optimisation approaches based on non-dominated sorting genetic algorithm II (NSGA-II) have been developed to reduce the time and energy consumed for processing composite wastes by searching for the optimal sub-lot splitting and resource scheduling plans. Case studies on different composite recycling scenarios have been conducted to prove the feasibility of the model and the developed algorithm.
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References
Avram IO, Xirouchakis P (2011) Evaluating the use phase energy requirements of a machine tool system. J Clean Prod 19:699–711
Baniszewski B (2005) An environmental impact analysis of grinding. Archives. Massachusetts Institute of Technology
Carberry W (2008) Airplane recycling efforts benefit Boeing operators. Aero mag. Boeing Quater 4:6–13
Cheung K-Y, Lee K-L, Lam K-L, Chan T-Y, Lee C-W, Hui C-W (2011a) Operation strategy for multi-stage pyrolysis. J Anal Appl Pyrolysis 91:165–182
Cheung K-Y, Lee K-L, Lam K-L, Lee C-W, Hui C-W (2011b) Integrated kinetics and heat flow modelling to optimise waste tyre pyrolysis at different heating rates. Fuel Process Technol 92:856–863
Dahal KP, Tan KC, Cowling Pl, (2007) Evolutionary Scheduling. Springer-Verlag Berlin Heidelberg
Dahmus JB (2007) Applications of industrial ecology manufacturing, recycling, and efficiency, Department of mechanical engineering. massachusetts institute of technology
Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6:182–197
Drake R, Yildirim MB, Twomey J, Whitman L, Ahmad J, Lodhia P (2006) Data collection framework on energy consumption in manufacturing. Institute of industrial engineering research conference
Howarth J, Mareddy SSR, Mativenga PT (2014) Energy intensity and environmental analysis of mechanical recycling of carbon fibre composite. J Clean Prod 81:46–50
Hydea JR, Lesterb E, Kingmanb S, Pickeringc S, Wong KH (2006) Supercritical propanol, a possible route to composite carbon fibre recovery: a viability study. Compos A Appl Sci Manuf 37:2171–2175
Kalla D, Twomey J, Overcash M (2009) MR4 turning process unit process life cycle inventory., pp. 1–28
Kaminsky W (2010) Fluidised bed pyrolysis of waste polymer composites for oil and gas recovery. In: Management, recycling and reuse of waste composites. pp. 192–213
Lam K-L, Oyedun AO, Cheung K-Y, Lee K-L, Hui C-W (2011) Modelling pyrolysis with dynamic heating. Chem Eng Sci 66:6505–6514
Lester E, Kingman S, Hoong K, Rudd C, Pickering S, Hilal N (2004a) Microwave heating as a means for carbon fibre recovery from polymer composites: a technical feasibility study. 39, 1549–1556
Lester E, Kingman S, Wong KH, Rudd C, Pickering S, Hilal N (2004b) Microwave heating as a means for carbon fibre recovery from polymer composites: a technical feasibility study. Mater Res Bull 39:1549–1556
Meyer LO, Schulte K, Grove-Nielsen E (2009) CFRP-recycling following a pyrolysis route: process optimization and potentials. J Compos Mater 43:1121–1132
Oliveux G, Dandy LO, Leeke GA (2015a) Degradation of a model epoxy resin by solvolysis routes. Polym Degrad Stab 118:96–103
Oliveux G, Dandy LO, Leeke GA (2015b) Current status of recycling of fibre reinforced polymers: review of technologies, reuse and resulting properties. Prog Mater Sci 72:61–99
Ono I, Yamamura M, Kobayashi S (1996) A Genetic algorithm for job shop scheduling problems using job based order crossover., pp. 3–8
Oyedun A, Lam K (2012) Optimisation of operating parameters in multi-stage pyrolysis. Chem Eng Trans 29:655–660
Pickering SJ (2006) Recycling technologies for thermoset composite materials—current status. Compos A Appl Sci Manuf 37:1206–1215
Pickering SJ, Kelly RM, Kennerley JR, Rudd CD, Fenwick NJ (2000) A fluidised-bed process for the recovery of glass fibres from scrap thermoset composites. Compos Sci Technol 60:509–523
Pinedo ML (2012) Scheduling: theory, algorithms, and systems, 4th edn. Springer, New York
Rabiee M, Zandieh M, Ramezani P (2012) Bi-objective partial flexible job shop scheduling problem: NSGA-II, NRGA, MOGA and PAES approaches. Int J Prod Res 50:7327–7342
Rajemi MF (2010) Energy analysis in turning and milling. Ph.D. dissertation, School of mechanical, aerospace and civil engineering, University of Manchester, Manchester
Shuaib NA (2014) Literature review on energy demand for different composite recycling methods and pilot study on microwave pyrolysis
Torresa A, de Marcoa I, Caballeroa BM, Laresgoitia MF, Legarretaa JA, Cabreroa MA, Gonzáleza A, Chomóna MJ, Gondrab K (2000) Recycling by pyrolysis of thermoset composites: characteristics of the liquid and gaseous fuels obtained. Fuel 79:897–902
Vilcot G, Billaut JC (2008) A tabu search and a genetic algorithm for solving a bi-criteria general job shop scheduling problem. Eur J Oper Res 190:398–411
Yang Y, Boom R, Irion B, van Heerden D-J, Kuiper P, de Wit H (2012) Recycling of composite materials. Chem Eng Process Process Intensif 51:53–68
Ye S, Bounaceur A, Soudais Y, Barna R (2013) Parameter optimization of the steam thermolysis: a process to recover carbon fibers from polymer-matrix composites. Waste Biomass Valoriz 4:73–86
Yoon KH, DiBenedetto AT, Huang SJ (1997) Recycling of unsaturated polyester resin using propylene glycol. Polymer 38:2281–2285
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The funding from EPSRC for the EXHUME project (EP/K026348/1) is gratefully acknowledged.
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Liu, Y., Farnsworth, M. & Tiwari, A. Energy-efficient scheduling of flexible flow shop of composite recycling. Int J Adv Manuf Technol 97, 117–127 (2018). https://doi.org/10.1007/s00170-018-1852-x
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DOI: https://doi.org/10.1007/s00170-018-1852-x